BEGIN:VCALENDAR VERSION:2.0 PRODID:-//C2SMART Home - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:C2SMART Home X-ORIGINAL-URL:https://c2smart.engineering.nyu.edu X-WR-CALDESC:Events for C2SMART Home REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20221106T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20241103T060000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20200101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20230516T120000 DTEND;TZID=America/New_York:20230516T130000 DTSTAMP:20260429T144322 CREATED:20230405T182650Z LAST-MODIFIED:20230515T215414Z UID:78984-1684238400-1684242000@c2smart.engineering.nyu.edu SUMMARY:Learning from big and small data for transportation planning and resilience analysis DESCRIPTION:POSTPONED – TO BE RESCHEDULED \nCOVID has exacerbated two emerging trends in transportation analysis: (1) the rise of passively-generated big data; and (2) the increasing need to deal with the “unexpected” disruptions. This talk emphasizes the need for learning big and small data for transportation planning and resilience analysis. Different ways of learning are described\, with applications ranging from long-term planning analysis to rapid responses under disruptions. \nPRESENTER  \nCynthia Chen is a professor in the Department of Civil & Environmental Engineering at the University of Washington (Seattle). She is also a professor and the interim chair of the Department of Industrial & Systems Engineering at UW. She is an internationally renowned scholar in transportation science and directs the THINK (Transportation-Human Interaction and Network Knowledge) lab at the UW. Cynthia has published over 60 peer-reviewed publications in leading journals in transportation and systems engineering including Transportation Research Part A-F and Omega\, as well as interdisciplinary journals such as PNAS. Her research has been supported by federal agencies such as NSF\, NIH\, APAR-E\, NIST\, USDOT\, and FHWA as well as state and regional agencies. Cynthia served a two-year assignment (2017-19) as the Program Director of Civil Infrastructure Systems\, CMMI (Civil\, Mechanical\, and Manufacturing Innovation) division with the National Science Foundation. She is an associate director of TOMNET (Center for Teaching Old Models New Tricks)\, a USDOT-funded Tier 1 University Transportation Center led by ASU\, as well as a key member of the new Center of Understanding Future Travel Behavior and Demand\, a USDOT-funded national center led by UT Austin. Currently\, Cynthia serves as an associate editor for Transportation Science\, and is on the editorial board of Sustainability Analytics and Modeling. URL:https://c2smart.engineering.nyu.edu/event/learning-from-big-and-small-data-for-transportation-planning-and-resilience-analysis/ LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201 CATEGORIES:Big Data & Planning for Smart Cities END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230406T120000 DTEND;TZID=America/New_York:20230406T130000 DTSTAMP:20260429T144322 CREATED:20230321T133103Z LAST-MODIFIED:20230321T133103Z UID:78946-1680782400-1680786000@c2smart.engineering.nyu.edu SUMMARY:Optimal dispatching of electric vehicles for providing charging on- demand service leveraging charging-on-the-move technology DESCRIPTION:  \n  \nRange anxiety and charging infrastructure scarcity have been the main challenges for the mass adoption of electric vehicles (EVs). The emerging mobile electric-vehicle-to-electric-vehicle (mE2) charging technology offers a promising solution\, which combines battery-to-battery and connected and autonomous vehicle technologies to enable an EV with an extra battery to charge another EV on the move. This webinar focuses on the efficient pairing and routing of electricity providers (EPs) to demand (EDs) by extending the existing Charging-as-a-Service (CaaS) strategy to the mE2 charging service (referred to as CaaS + ). Dr. Lili Du will discuss the EP fleet management problem\, which is mathematically modeled as a vehicle routing problem (i.e.\, mE2-VRP)\, aiming to optimally dispatch the minimum number of EPs to approach and serve the EDs using different proportions of EV flows to save EDs’ travel time and mitigate traffic congestion to different extents in different network congestion and charging station coverage scenarios. She will also discuss suggestions for improving the service efficiency of CaaS + . \nPRESENTER  \nDr. Lili Du is an associate professor in the Civil and Coastal Engineering Department\, University of Florida. Before that\, she worked as an assistant and then an associate professor at the Illinois Institute of Technology (IIT) from 2012 to 2017\, and as a Post-doctoral Research Associate for NEXTRANS at Purdue University from 2008 to 2012. Dr. Du received her Ph.D. degree in Decision Sciences and Engineering Systems with a minor in Operations Research and Statistics from Rensselaer Polytechnic Institute in 2008. Dr. Du’s research is characterized by integrating operations research\, network modeling\, game theory\, control theory\, machine learning\, and statistical methods into traffic flow analysis\, transportation system analysis\, and network modeling. Her current research mainly focuses on the impacts of connected and/or autonomous vehicles and electric vehicles\, mobility on demand\, smart curb\, network resilience\, and traffic flow analysis. Dr. Du’s research has been published in Transportation Research Part B\, Part C\, and Part D\, IEEE Transactions on ITS\, Networks and Spatial Economics. Her research has been funded by National Science Foundation (NSF)\, State DOT\, STRIDE UTC\, and Toyota InfoTechnology Center. Dr. Du is a recipient of the NSF CAREER award in 2016. Her recent project\, “Driverless City” won the First Nayar Prize at IIT. She is the founding chair of both TRB AEP40-4 subcommittee on Emerging Technologies in Network Modeling and ASCE-T&DI Artificial Intelligence in Transportation Committee. She serves as an editor for Transportation Research Part B: Methodological\, an associate editor for IEEE Transactions on Intelligent Transportation Systems\, and a member of the editorial advisory board for Transportation Research Part C: Emerging Technologies. URL:https://c2smart.engineering.nyu.edu/event/optimal-dispatching-of-electric-vehicles-for-providing-charging-on-demand-service-leveraging-charging-on-the-move-technology/ CATEGORIES:Big Data & Planning for Smart Cities LOCATION: END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230222T083000 DTEND;TZID=America/New_York:20230222T120000 DTSTAMP:20260429T144322 CREATED:20230213T225934Z LAST-MODIFIED:20230214T171906Z UID:78673-1677054600-1677067200@c2smart.engineering.nyu.edu SUMMARY:2nd NYU-TJU Urban Transportation Forum DESCRIPTION:3On February 22\, 2023\, New York University and Tongji University are joining forces to host an online urban transportation forum. The topics to be covered in this virtual event include the future of transportation\, sustainability and equity in transportation systems\, travel behavior\, and safety in urban transportation. This forum will provide a platform for experts and students to come together and discuss the pressing issues in the field\, and offer new perspectives on shaping the future of urban transportation. \nAgenda (click to expand)\n20230222 NYU-TJU 2nd Urban Transportation Forum Agenda \nPre-registration via Zoom is required. Please click the Register button below. URL:https://c2smart.engineering.nyu.edu/event/2nd-nyu-tju-urban-transportation-forum/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Safety in Transportation Systems ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230221T160000 DTEND;TZID=America/New_York:20230221T170000 DTSTAMP:20260429T144322 CREATED:20230131T005044Z LAST-MODIFIED:20230131T173754Z UID:78598-1676995200-1676998800@c2smart.engineering.nyu.edu SUMMARY:Roundtable on Traffic Safety Research featuring Dr. Tarek Sayed DESCRIPTION:The increasing popularity of smart cities and recent developments in sensing\, edge computing and vehicle technologies and the availability of “big data” combined with sophisticated AI techniques offer an opportunity to substantially advance and fundamentally transform the road safety profession—enabling continuous\, real-time\, proactive safety evaluation and optimization. The application of innovations that are both progressing and disrupting the status quo represents an opportunity for improved transportation safety. However\, with the introduction of new modes of mobility and the complex interactions created by these different technologies within the transportation system\, governments will need to rely on advanced research and analysis techniques to support policies towards the transition to these new forms of mobility and technologies. These issues are discussed and several methods and techniques developed in this area are described with example projects from several agencies worldwide. \n  \nTarek Sayed is a distinguished professor and a Tier 1 Canada Research Chair of Transportation Safety and Advanced Mobility at the University of British Columbia. His research focuses on traffic operation and safety\, Intelligent Transportation Systems (ITS)\, and the application of information technologies. URL:https://c2smart.engineering.nyu.edu/event/roundtable-on-traffic-safety-research-featuring-dr-tarek-sayed/ LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201 CATEGORIES:Safety in Transportation Systems ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230206T174500 DTEND;TZID=America/New_York:20230206T193000 DTSTAMP:20260429T144322 CREATED:20230131T011055Z LAST-MODIFIED:20230131T011202Z UID:78611-1675705500-1675711800@c2smart.engineering.nyu.edu SUMMARY:Transit Techies #13: Projects on Bike Safety & Infrastructure with NYU Tandon DESCRIPTION:  \n \n  \nTransportation Techies is a group of technologists\, urban planners\, commuters and more who are interested in how technology can enable the future of mobility in metropolitan areas. This showcase will feature 2 projects on improving commuting experience for bikers in NYC. First\, Ariel Kadouri will give an update on mapping bike and pedestrian infrastructure. He will be giving his State of the Map talk\, and opening it up for Q&A. \nFollowing this\, C2SMART’s Suzana Duran Bernardes give a live demo of her mountable sensors to improve cyclist safety. She will deliver a Q&A afterwards. \n  \n  URL:https://c2smart.engineering.nyu.edu/event/transit-techies-13-projects-on-bike-safety-infrastructure-with-nyu-tandon/ LOCATION:370 Jay Street\, Room 1201\, 370 Jay Street\, Brooklyn\, 11201 CATEGORIES:Shared & Micromobility ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20221116T160000 DTEND;TZID=America/New_York:20221116T170000 DTSTAMP:20260429T144322 CREATED:20221005T141434Z LAST-MODIFIED:20221111T225455Z UID:77918-1668614400-1668618000@c2smart.engineering.nyu.edu SUMMARY:Connected Vehicle Applications: Lessons Learned and Future Research & Deployment Roundtable DESCRIPTION:The USDOT Connected Vehicle (CV) Pilot Program sought to test vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications to improve tranportation systems\, mobility\, and safety with real-world deployments in New York City\, Tampa\, and Wyoming. \nThis roundtable discussion will focus on these recently completed connected vehicle pilots and the lessons learned. Our panelists will feature practitioners\, decision-makers\, and researchers involved in CV deployments and leading the way for their wide-scale adoption. \nThis roundtable caps off C2SMART’s State of the Field: Connected Vehicle Applictions series\, and there will be a synthesis of prior presentations and a discussion on future directions and applications for research\, testing\, and deployment. \nWe look forward to your participation! \nPanelists: \n \nSisinnio Concas serves as Program Director at the Center for Urban Transportation Research (CUTR) and Research Associate Professor the University of South Florida (USF) College of Engineering. Dr. Concas has over 20 years of experience as a transportation economist conducting economic impact and benefit-cost analyses for public transportation\, airport and roadway projects. Dr. Concas leads CUTR’s Autonomous & Connected Mobility Evaluation (ACME) Program. ACME focuses on producing quick-response solutions to better inform practitioners and policy maker in selecting and prioritizing cost-feasible innovative transportation alternatives. He has performed numerous research projects for the U.S. Federal Transit Administration\, Federal Highway Administration\, the Florida Department of Transportation\, state and local transportation authorities. Dr. Concas leads the Performance Measurement Evaluation and Support of the Tampa CV Pilot Deployment. \n \nDr. Mohamad Talas is the Deputy Director of ITS System Engineering\, New York City Department of Transportation. He brings long standing career experience in traffic engineering and continue with over 27 years in Traffic Engineering and Operation experience in New York City Department of Transportation. He currently serves as the Director for the NYC Department of Transportation ITS project Management\, Research and Development where he supervises the Intelligent Transportation System projects and initiatives in New York City. These projects include the development and implementation of the New York City Traffic Computerization System at the Traffic Management Center modernizing and operating over 12\,000 signals and the currently deployed Active Traffic Management System in in Manhattan(Midtown In Motion) and NYC Connected Vehicle Pilot Deployment. He has earned his PhD in Transportation Planning and Engineering at NYU -Poly University\, Master degrees in Transportation\, Planning and Engineering and a Masters in Electrical Engineering from Fairleigh Dickinson University. \n \nBilly Chupp is a data analyst and engineer at the U.S. Department of Transportation’s Volpe Transportation Systems Center in Cambridge\, Massachusetts. Mr. Chupp supports a wide range of projects at the Volpe Center including cloud database and analysis system development and management for DOT’s Chief Data Officer\, artificial intelligence and machine learning development initiatives for DOT’s ITS Joint Program Office\, and air quality modeling and data analysis projects for the Federal Highway Administration. Mr. Chupp most recently served as the technical lead on Volpe’s independent safety evaluation effort for the three connected vehicle pilot programs in New York City\, Tampa\, and Wyoming\, and continues to support the ITS JPO on data documentation and strategy efforts within the connected vehicle space and beyond. \n \nDr. Karl Wunderlich holds a joint appointment at Noblis in Washington\, DC.\, serving as both is the Director of the Surface Transportation Division and the Director of the Noblis Autonomous Systems Research Center. He is a key contributor to both research and development projects and technology deployment programs sponsored by the US Department of Transportation (USDOT) and the Federal Highway Administration (FHWA). Dr. Wunderlich is an expert in the use of simulation techniques to evaluate the potential impact of emerging technologies to improve traveler mobility or system productivity – including vehicle connectivity\, autonomy\, and blockchain. He is a published author and patent-holder in orchestrated autonomy\, which leverages blockchain to create efficient and collision-free path planning among heterogenous\, unfamiliar\, and autonomous machines. Dr. Wunderlich holds a Ph.D. in Operations Research from the University of Michigan. \nDr. Kaan Ozbay is a Professor at New York University’s Tandon School of Engineering\, and Director of C2SMART Center\, a Tier 1 USDOT University Transportation Center. Dr. Ozbay served as Principal Investigator (PI) of the NYU/C2SMART team as part of the NYCDOT-led New York City Connected Vehicle Pilot\, under USDOT’s Connected Vehicle Pilot Program. He joined NYU’s Department of Civil and Urban Engineering and Center for Urban Science and Progress (CUSP) in August 2013\, and is also Global Network Professor of Civil and Urban Engineering\, NYU Abu Dhabi (NYUAD) and Global Network Professor of Engineering and Computer Science\, NYU Shanghai (NYUSH). \nModerated by: \nJingqin (Jannie) Gao completed her Ph.D. in Transportation Planning and Engineering at NYU Tandon\, where she works with C2SMART Director Kaan Ozbay. She studied Science and Technology of Optical Information and received her B.S. from Tongji University in China and her M.S in Transportation Planning and Engineering from New York University. Her research interests lie in offline and real-time simulation modeling\, big data and machine learning approach for transportation\, and transportation economics. She also worked for the New York City Department of Transportation on modeling and data analysis to support the agency’s internal planning\, technical review processes and coordinated with external agencies on regional projects since 2012. Jingqin is the former president of NYU’s joint Institute of Transportation Engineers (ITE) and The Intelligent Transportation Society of America (ITS) Student Chapter during 2018-2019\, through which she organized various company visits\, tech talks\, women in transportation events and the 2019 ITE Northeastern District Traffic Bowl. URL:https://c2smart.engineering.nyu.edu/event/connected-vehicle-applications-lessons-learned-and-future-research-deployment-roundtable/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Connected & Autonomous Mobility,Webinars ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20221015 DTEND;VALUE=DATE:20221024 DTSTAMP:20260429T144322 CREATED:20220910T021710Z LAST-MODIFIED:20220928T193427Z UID:77455-1665792000-1666569599@c2smart.engineering.nyu.edu SUMMARY:NYCDOT Smart Routing Hackathon DESCRIPTION:Currently in NYC\, truckers and trucking companies are reliant on a static map to know where they should and should not go. When events like construction or a road accident require rerouting\, truck drivers are at a loss because existing navigation tools do not include truck route priorities\, elevation restrictions\, or turn restrictions\, truck tolls\, or other details specific to their needs. From Saturday\, October 15 through Sunday\, October 23\, C2SMART\, in partnership with NYCDOT\, will host a Hackathon to invite students to design a 3D visualizer which helps drivers understand where they are in their route\, and helps them navigate the complexities of the city. \nThe event is open to all graduate and undergraduate students in New York City. Folks in New York City are welcome to attend Opening Ceremonies in person through our partnership with Transportation Camp; all participants are welcome to participate virtually during the work period. Final submissions will be presented at 3:00pm on October 23\, followed by an hour of networking opportunities for students\, industry professionals\, and agencies. \nPrizes will be awarded to the top three submissions\, and the winner’s design may be adopted by NYCDOT — allowing the winner to directly impact transportation in New York City. \nRegister for TransportationCamp here. \nRegister for the closing ceremony Zoom here. URL:https://c2smart.engineering.nyu.edu/event/nycdot-smart-routing-hackathon/ LOCATION:CUNY School of Law\, 2 Ct Square W\, Queens\, NY\, 11101\, United States CATEGORIES:Big Data & Planning for Smart Cities,Student Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220912T100000 DTEND;TZID=America/New_York:20220912T110000 DTSTAMP:20260429T144322 CREATED:20220812T142056Z LAST-MODIFIED:20220907T193723Z UID:77541-1662976800-1662980400@c2smart.engineering.nyu.edu SUMMARY:Data & Driving: Mobileye on Urban Mobility DESCRIPTION:SPEAKER \n \nWith over 25 years in deploying in deploying new technologies and innovative solutions with Fortune 500\, government and academic research clients\, Mark Davis currently leads Mobileye’s North American Data Services business. \nMark has led the introduction of several platform technologies in areas ranging from climate change research to commercial risk management to industrial process control solutions. With a long background in remote sensing and geospatial analytics — Mark draws from his experience to address some of the transportation sector’s biggest safety & operational challenges. \nMobileye is partnering with key DOTs\, MTAs and transportation-sector service providers & researchers to help deliver a positive impact for society in terms of roadway planning\, safety\, mobility & equity. \nMark has held senior executive positions at top VC backed start-ups (Aeryon\, Airware and Picarro) to multi-billion giants (Intel Corporation and Danaher). Mark holds a Master of Science\, Management of Technology degree from Georgia Institute of Technology.\nSTUDENT MODERATOR \n \nZilin Bian is a Ph.D candidate in Transportation Planning and Engineering in the Department of Civil and Urban Engineering at New York University. He received a master’s degree from the University of Florida. He is currently working as a graduate research assistant at NYU while pursuing his doctoral degree. Bian’s research interests include applications of machine learning and artificial intelligence in traffic incident management\, transportation data and mobility modeling / prediction. \n  URL:https://c2smart.engineering.nyu.edu/event/data-driving-mobileye-on-urban-mobility/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Shared & Micromobility,Student Events,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220708T150000 DTEND;TZID=America/New_York:20220708T160000 DTSTAMP:20260429T144322 CREATED:20220627T183540Z LAST-MODIFIED:20220708T162114Z UID:77366-1657292400-1657296000@c2smart.engineering.nyu.edu SUMMARY:Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty and Equity DESCRIPTION:During a public transit service disruption\, passengers usually need path recommendations to find alternative routes. In this webinar\, MIT PhD Candidate Baichuan Mo will discuss his proposal for a mixed-integer programming (MIP) formulation to model the individual-based path (IPR) recommendation problem during PT service disruptions with the objective of minimizing system travel time and respecting passengers’ path choice preferences. Passengers’ behavior uncertainty in path choices given recommendations and their travel time equity are also considered. He models the behavior uncertainty based on passenger’s prior preferences and posterior path choice probability distribution with two new concepts: epsilon-feasibility and gamma-concentration\, which control the mean and variance of path flows in the optimization problem. The IPR problem with behavior uncertainty is solved efficiently with Benders decomposition. A post-adjustment heuristic is used to address the equity requirement. The proposed approach is implemented in the Chicago Transit Authority (CTA) system with a real-world urban rail disruption as the case study. Results show that the proposed IPR model significantly reduces the average travel times compared to the status quo and outperforms the capacity-based benchmark path recommendation strategy. \n \nBaichuan Mo is a Ph.D. student in the transportation program at MIT. He completed his dual Master’s degree in Transportation and Computer Science at MIT in 2020. Prior to joining MIT\, he got a B.E. degree from the Department of Civil Engineering\, Tsinghua University\, awarded with the Tsinghua Presidential Scholarship. \nBaichuan’s main research interest is data-driven transportation modeling\, demand modeling\, and machine learning. His master thesis was on the network performance model for urban rail system monitoring. His current research focuses on unplanned incident analysis and management in urban rail systems\, sponsored by Chicago Transit Authority (CTA). URL:https://c2smart.engineering.nyu.edu/event/individual-path-recommendation-under-public-transit-service-disruptions-considering-behavior-uncertainty-and-equity/ LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201 CATEGORIES:Big Data & Planning for Smart Cities ATTACH;FMTTYPE=image/png:https://c2smart.engineering.nyu.edu/wp-content/uploads/2022/06/C2SMART-Seminar-Individual-Path-Recommendation-Under-Public-Transit-Service-Disruptions-Considering-Behavior-Uncertainty-and-Equity.png ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220420T120000 DTEND;TZID=America/New_York:20220420T130000 DTSTAMP:20260429T144322 CREATED:20220411T132807Z LAST-MODIFIED:20220415T204328Z UID:75460-1650456000-1650459600@c2smart.engineering.nyu.edu SUMMARY:State-of-the-Field: Structural Health Monitoring (SHM) Application to Bridge Projects: Experience from Louisiana DESCRIPTION:In the State-of-the-Field event series\, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They’ll share advances\, opportunities\, predictions\, research bottlenecks\, and what perspectives and skills are needed from researchers and the workforce of tomorrow towards tackling one area of today’s most pressing problems. \nProfessor Ayman M. Okeil\, LSU will share his experience applying structural health monitoring (SHM) methods to three Louisiana projects\, employed to assist the Louisiana DOTD in updating their standard continuity detail between simply supported prestressed concrete girders\, and to address load rating of cast-in-place (CIP) reinforced concrete (RC) box culverts with low fill heights. He’ll share the impact this applied research made on the Louisiana Bridge Design and Evaluation Manual\, and recommendations for future load ratings. Professor Okeil will also share his efforts to develop the transportation workforce of tomorrow by introducing SHM to civil engineering curriculum\, sponsored by the National Science Foundation. \nPresenter \n\n\nDr. Ayman M. Okeil is Roy P. Daniels Professor of Engineering in the Department of Civil and Environmental Engineering\, Louisiana State University. Dr. Okeil’s experience in the field of bridge engineering includes strengthening of concrete girders using composite materials\, behavior of box girder bridges\, structural health monitoring and reliability calibration of LRFD codes. Dr. Okeil is a voting member / associate member in several national committees (ACI 440 and 444\, TRB AKB10 AND AKB30\, ASCE-ACI 343) and serves as Associate Editor for the ASCE J. of Composites for Construction. He is the recipient of several awards in recognition of his teaching and research contributions including “Michael R. Mangham Memorial Undergraduate Teaching Award” from LSU Tiger Athletic Foundation\, the “Outstanding Teaching Award” at NCSU\, the “Outstanding Achievement Award” at LSU (twice)\, and the “Educator of the Year Award” from the Baton Rouge Branch of ASCE (twice). He has also consulted on various projects related to both buildings and bridges. His PhD dissertation investigated seismic design of secondary systems in nuclear power plants. URL:https://c2smart.engineering.nyu.edu/event/state-of-the-field-structural-health-monitoring-shm-application-to-bridge-projects-experience-from-louisiana/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Infrastructure Resiliency,Virtual Events,Webinars ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220401T130000 DTEND;TZID=America/New_York:20220401T140000 DTSTAMP:20260429T144322 CREATED:20220217T150249Z LAST-MODIFIED:20220308T175338Z UID:73307-1648818000-1648821600@c2smart.engineering.nyu.edu SUMMARY:Ramp metering: Control Strategies and New Insights DESCRIPTION:Instructor: Yu Tang\, New York UniversityHands-on exercise: YesLevel: No prior experience required.Schedule: April 1\, 2022 | 1:00 PM – 2:00 PM ET \nDynamic flow networks are a class of useful models for a variety of engineering systems including transportation systems\, production lines and communication networks. This session will introduce its basic concepts\, mathematical modeling and control strategies. The application will be illustrated with ramp metering\, a typical strategy for freeway management. URL:https://c2smart.engineering.nyu.edu/event/ramp-metering-control-strategies-and-new-insights/ CATEGORIES:Big Data & Planning for Smart Cities,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu LOCATION:https://nyu.zoom.us/meeting/register/tJYude-qqj4iG9Wfm-P7NbmXGCfW4qkORUdd END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220328T120000 DTEND;TZID=America/New_York:20220328T170000 DTSTAMP:20260429T144322 CREATED:20220309T223338Z LAST-MODIFIED:20220315T182808Z UID:74589-1648468800-1648486800@c2smart.engineering.nyu.edu SUMMARY:Lane Changing of Autonomous Vehicles in Mixed Traffic Environments: A Reinforcement Learning Approach DESCRIPTION:The emergence of connected and autonomous vehicles (CAVs) presents increased opportunities to mitigate traffic congestion\, improve safety and reduce accidents. Professor Zhong-Ping Jiang\, and researchers Leilei Cui and Sayan Chakraborty are applying innovative reinforcement learning control methods to one challenging aspect of CAV control: lane changing in mixed traffic. The team takes a novel approach by reducing the trajectory planning and tracking problem down to the minimization of a cost function that depends on a target way-point in the lane a CAV is targeting. They’ll discuss the integration of reinforcement learning and adaptive/approximate dynamic programming methods without assuming exact knowledge of surrounding vehicles\, while avoiding the curses of dimensionality and modeling of conventional dynamic programming\, and they’ll share simulation and validation results of this promising method towards minimizing fuel consumption and improve safety of the whole traffic stream. \nPresenters \nProfessor Zhong-Ping Jiang is known for his contributions to stability and control of interconnected nonlinear systems\, and is a key contributor to the nonlinear small-gain theory. His recent research focuses on robust adaptive dynamic programming\, learning-based optimal control\, nonlinear control\, distributed control and optimization\, and their applications to computational and systems neuroscience\, connected and autonomous vehicles\, and cyber-physical systems. \nProfessor Jiang is a Deputy Editor-in-Chief of the IEEE/CAA Journal of Automatica Sinica and of the Journal of Decision and Control and has served as Senior Editor for the IEEE Control Systems Letters (L-CSS) and Systems & Control Letters\, Subject Editor\, Associate Editor and/or Guest Editor for several journals including International Journal of Robust and Nonlinear Control\, Mathematics of Control\, Signals and Systems\, IEEE Transactions on Automatic Control\, European Journal of Control\, and Science China: Information Sciences. \nLeilei Cui is a third-year PhD student at the Department of Electrical and Computer Engineering\, New York University\, under the supervision of Professor Zhong-Ping Jiang. He received a B.S. Degree in Automation from Northwestern Polytechnical University\, Xian\, China\, in 2016\, and the M.S. degree in Control Science and Engineer from Shanghai Jiao Tong University\, Shanghai\, China\, in 2019. His research interests are reinforcement learning\, adaptive dynamic programming\, control theory\, and their applications to robotics and intelligent transportation. \nSayan Chakraborty is a first year PhD candidate at the Department of Electrical and Computer Engineering\, New York University\, under the supervision of Professor Zhong-Ping Jiang. He obtained a B.Tech. degree in Electrical Engineering from National Institute of Technology\, Silchar\, India in 2017\, and an M.Tech. degree in Electrical Engineering with specialization in Systems and Control from Indian Institute of Technology Hyderabad\, India in 2021. His research interests are data-driven control\, adaptive dynamic programming\, and their application to autonomous vehicles. URL:https://c2smart.engineering.nyu.edu/event/lane-changing-of-autonomous-vehicles-in-mixed-traffic-environments-a-reinforcement-learning-approach/ CATEGORIES:Connected & Autonomous Mobility,Webinars ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu LOCATION: END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220224T120000 DTEND;TZID=America/New_York:20220224T130000 DTSTAMP:20260429T144323 CREATED:20220217T175204Z LAST-MODIFIED:20220217T175204Z UID:73325-1645704000-1645707600@c2smart.engineering.nyu.edu SUMMARY:State-of-the-Field: New Fiber Optic Structural Health Monitoring (SHM) Technologies and Recent Case Studies DESCRIPTION:SMS provides specialized\, fiber-optic structural health monitoring (SHM) systems for bridges and tunnels and world-wide has worked with many agencies and engineering firms. Terry Tamutus\, Founder and CEO of SMS\, will discuss solutions to new construction problems and deteriorating bridges. He’ll share successful case studies\, lessons-learned\, critical safety issues\, O&M improvement\, deterioration models\, and asset management. This webinar will provide engineers with a high-level SHM overview\, types of RFPs used by different agencies\, and a check-list for SHM project oversight. \nIn the State-of-the-Field event series\, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They’ll share advances\, opportunities\, predictions\, research bottlenecks\, and what perspectives and skills are needed from researchers and the workforce of tomorrow towards tackling one area of today’s most pressing problems. \n Terry Tamutus of SMS\, is a Mechanical Engineer and has over 30 years of SHM expertise. Terry has published over 20 peer-reviewed papers on Acoustic SHM. He provides SHM design\, application support\, installation\, training\, and product development. Worldwide\, he has provided hundreds of papers and presentations to universities\, engineering societies (NACE\, PTI\, ASNT\, TRB)\, government agencies (DoD\, DOTs\, NIST\, FAA\, NASA\, FHWA)\, and companies including Boeing\, Lockheed\, PowerGen\, and refineries.\n  URL:https://c2smart.engineering.nyu.edu/event/state-of-the-field-new-fiber-optic-structural-health-monitoring-shm-technologies-and-recent-case-studies/ CATEGORIES:Infrastructure Resiliency,Virtual Events,Webinars ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu LOCATION:https://c2smart.engineering.nyu.edu/event/state-of-the-field-new-fiber-optic-structural-health-monitoring-shm-technologies-and-recent-case-studies/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220222T120000 DTEND;TZID=America/New_York:20220222T130000 DTSTAMP:20260429T144323 CREATED:20220113T172607Z LAST-MODIFIED:20220217T174232Z UID:71561-1645531200-1645534800@c2smart.engineering.nyu.edu SUMMARY:Proactive Road Safety Management Techniques DESCRIPTION:The increasing popularity of smart cities and recent developments in sensing\, edge computing and vehicle technologies and the availability of “big data” combined with sophisticated AI techniques offer an opportunity to substantially advance and fundamentally transform the road safety profession—enabling continuous\, real-time\, proactive safety evaluation and optimization. The application of innovations that are both progressing and disrupting the status quo represents an opportunity for improved transportation safety. However\, with the introduction of new modes of mobility and the complex interactions created by these different technologies within the transportation system\, governments will need to rely on advanced research and analysis techniques to support policies towards the transition to these new forms of mobility and technologies. These issues are discussed and several methods and techniques developed in this area are described with example projects from several agencies worldwide. \n  \nTarek Sayed is a distinguished professor and a Tier 1 Canada Research Chair of Transportation Safety and Advanced Mobility at the University of British Columbia. His research focuses on traffic operation and safety\, Intelligent Transportation Systems (ITS)\, and the application of information technologies. URL:https://c2smart.engineering.nyu.edu/event/proactive-road-safety-management-techniques/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Safety in Transportation Systems ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20220215T123000 DTEND;TZID=America/New_York:20220215T133000 DTSTAMP:20260429T144323 CREATED:20220113T172220Z LAST-MODIFIED:20220204T153422Z UID:71559-1644928200-1644931800@c2smart.engineering.nyu.edu SUMMARY:Context Driven Analytics and AI for Infrastructure and Facility Management DESCRIPTION:Engineers and managers involved in facility/infrastructure operations need situational awareness and accurate assessment of as-is conditions when making daily decisions and developing short- and long-term plans. Currently\, however\, the situational awareness of engineers is often limited by a lack of actionable information relevant to the specific facilities and infrastructure systems in their purview. Advances in sensing and reality capture technologies\, such as 3D imaging via stationary platforms or drones and in-situ sensing\, streamline capturing of data depicting as-is conditions. Data collected from these technologies\, integrated with building information models\, enable context-driven analyses of as-is conditions\, generation of actionable information related to specific facilities/infrastructure systems\, and development of algorithms that help support proactive and predictive operations. Professor Burcu Akinci will provide an overview of the opportunities and research approaches associated with integration of sensor data with building/infrastructure information models and with development of context-driven algorithms. She’ll demonstrate applications of these approaches through specific deployments in several facilities and other infrastructure systems\, and highlight specific research projects being conducted at Carnegie Mellon University with a vision towards self-aware autonomous facilities and infrastructure systems.\n  \nDr. Burcu Akinci is Paul Christiano Professor of Civil & Environmental Engineering at Carnegie Mellon University and a member of the National Academies of Construction. She earned an MBA from Bilkent University (Ankara\, Turkey)\, and master’s and PhD degrees in civil and environmental engineering from Stanford University. Dr. Akinci’s research focuses on investigating utilization and integration of building information models with data capture technologies to create digital twins of construction projects and infrastructure operations and develop approaches to support proactive and predictive operations and management. Recipient of myriad awards\, including 4 best paper awards from top journals and PI of more than $6M grants\, she co-founded and is Chief Innovation Officer at LeanFM Technologies\, recipient of the 2017 Pittsburgh Business Times Innovation Award. URL:https://c2smart.engineering.nyu.edu/event/improving-contraflow-left-turn-lane-design-at-signalized-intersections-to-decrease-traffic/ LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201 CATEGORIES:Big Data & Planning for Smart Cities ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211215T140000 DTEND;TZID=America/New_York:20211215T150000 DTSTAMP:20260429T144323 CREATED:20211203T172444Z LAST-MODIFIED:20211203T175934Z UID:70419-1639576800-1639580400@c2smart.engineering.nyu.edu SUMMARY:Performance Measurement from the New York City Connected Vehicle Pilot DESCRIPTION:The U.S. Department of Transportation (U.S. DOT) will host a webinar to share the performance measurement from the New York City (NYC) Connected Vehicle (CV) Pilot. The webinar will be held on Wednesday\, December 15\, from 2:00 PM to 3:00 PM (ET).\n\nThe NYC CV Pilot has deployed over 450 roadside units and 3\,000 aftermarket safety devices in vehicles running 13 vehicle-to-vehicle and vehicle-to-infrastructure applications focused on safety. The webinar will provide an overview of the performance evaluation of the deployed CV applications in NYC’s urban canyon environment. The webinar will also cover NYC’s plans for the next phase of the project after completion of the CV Pilot’s Phase III operations.\nBACKGROUND \nSponsored by the U.S. DOT Intelligent Transportation Systems (ITS) Joint Program Office (JPO)\, the CV Pilot Deployment Program is a national effort to enable multiple connected vehicle applications and deploy\, test\, and operationalize cutting-edge mobile and roadside technologies. These innovative technologies and applications have the potential for immediate beneficial impacts—such as saving lives\, improving personal mobility\, enhancing economic productivity\, reducing negative environmental impacts\, and transforming public agency operations.\n\nThe U.S. DOT selected three agencies as CV Pilot deployment sites: the Wyoming Department of Transportation\, the New York City Department of Transportation\, and the Tampa Hillsborough Expressway Authority. Each site prepared a comprehensive deployment concept to ensure a rapid and efficient connected vehicle capability roll-out. The sites then worked to design\, build\, and test these deployments of integrated wireless in-vehicle\, mobile device\, and roadside technologies. The NYC CV Pilot is nearing the completion of the operational phase\, where the tested system was operated and maintained in good working order over a period of 12 months and monitored on a set of key performance metrics to measure its impact.\nFor more information about the NYC CV Pilot\, please visit https://www.its.dot.gov/pilots/pilots_nycdot.htm. URL:https://c2smart.engineering.nyu.edu/event/performance-measurement-from-the-new-york-city-connected-vehicle-pilot/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Connected & Autonomous Mobility,Virtual Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211207T120000 DTEND;TZID=America/New_York:20211207T133000 DTSTAMP:20260429T144323 CREATED:20211201T193405Z LAST-MODIFIED:20211201T200034Z UID:70355-1638878400-1638883800@c2smart.engineering.nyu.edu SUMMARY:Cooperative Perception of Smart Roadside Unit with Edge AI for Driving Assistance DESCRIPTION:3D object detection is essential for building autonomous driving perception systems that can detect 3D objects from sensor information and safely plan movement accordingly. Stereo cameras\, light detection\, and liDAR in existing CAV systems can be heavy and expensive\, and have suffered from computing resource limitation\, resulting in unavoidable calculation errors or delays that can lead to severe consequences. To address this challenge and provide more reliable real-time localization services for CAVs\, C2SMART Center researchers Wei Sun and Chenxi Liu have developed a smart roadside unit (SRSU) with advanced computer vision technologies for driving and parking assistance. Developed by the STAR Lab at UW\, the SRSU sensor is a multi-source traffic sensing roadside unit that can transmit data through 4G/5G data plan or Long Range (LoRa) and Narrow Band Internet of Things (NB-loT) data communication protocols. Wei and Chenxi will discuss the development and impact of the smart roadside unit\, along with a Mobile Unit for Traffic Sensing (MUST) employed for data analysis and for reliable\, efficient communication with surrounding vehicles. \n  \nDr. Wei Sun is a research associate in transportation engineering in the Smart Transportation Applications and Research Laboratory (STAR Lab) at the University of Washington (UW). He has a Ph.D. in transportation engineering from the University of Florida (2019) and a bachelor’s degree in transportation engineering from South China University of Technology (2014). Dr. Sun’s active research fields include Intelligent Transportation Systems (ITS)\, transportation data analytics\, traffic operations and safety\, and traffic simulation and software development. Dr. Sun has worked on research projects funded by Federal Highway Administration (FHWA)\, National Cooperative Highway Research Program (NCHRP)\, Washington State Department of Transportation (WSDOT)\, Center for Safety Equity in Transportation (CSET)\, and Pacific Northwest Transportation Consortium (PacTrans). Dr. Sun serves as reviewers for the Journal of Intelligent Transportation Systems: Technology\, Planning\, and Operations\, American Society of Civil Engineers (ASCE) Journal of Transportation Engineering\, Institute of Electrical and Electronics Engineers (IEEE) International Smart Cities Conference\, and Transportation Research Record (TRR). \n  \nChenxi Liu is a Ph.D. student in the Smart Transportation Applications and Research Laboratory (STAR Lab) at the University of Washington (UW). He received his master’s degree in Civil Engineering from University of Washington (2020) and bachelor’s degree in Civil Engineering from Tsinghua University (2017) in Beijing\, China. He came to University of Washington\, Seattle\, WA\, US. in 2017\, he has been a Research Assistant in Smart Transportation Research and Application Lab (STARLab). His research interest includes computer vision\, deep learning\, neural network\, and smart transportation facilities. \n  URL:https://c2smart.engineering.nyu.edu/event/cooperative-perception-of-smart-roadside-unit-with-edge-ai-for-driving-assistance/ CATEGORIES:Connected & Autonomous Mobility,Webinars ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211130T110000 DTEND;TZID=America/New_York:20211130T170000 DTSTAMP:20260429T144323 CREATED:20211129T175012Z LAST-MODIFIED:20211129T175012Z UID:70343-1638270000-1638291600@c2smart.engineering.nyu.edu SUMMARY:Forensic Analysis of Vehicular Malfunctions Using On-Board Data DESCRIPTION:This event explores forensic analysis and recording of vehicle dynamic performance tests and investigations. To accomplish these tests and investigations\, researchers developed forensically accurate and reliable test monitoring and recording instruments. Because the tests were usually sequential and interactive between the vehicle operator and the particular exemplar vehicle\, those instruments have to allow for real time graphical readouts and displays of parameters from both vehicle data networks and from instrumentation data networks. \nIt is hoped that the methodologies and examples shown here will encourage students and professionals to explore data analysis designs and solutions beyond basic or textbook procedures by providing examples to show real world data projects and test instruments that are now repeatedly used in many continuing vehicle forensic investigations. Additionally\, these working examples have been shown to assist associated skill disciplines such as Reconstruction and Biometric Analysis of these same accidents. \nSPEAKERS \nWilliam Rosenbluth has been President and Principal Engineer for Automotive Systems Analysis (ASA)\, Reston\, VA\, for 33 years. He has 58 years of experience with complex electro-mechanical\, electronic and computer components and systems. He was employed by the IBM Corporation for 21 years\, until forming ASA. At ASA\, he specializes in the analysis and diagnosis of computer-related vehicle control systems and in the retrieval and analysis of electronic crash-event data in accident vehicles (black box data). His has authored two books\, ‘Investigation and Interpretation of Black Box Data in Automobiles’ (2001) and ‘Black Box Data from Accident Vehicles’ (2009). He holds a BEE (‘61) and an MSEE (‘65) from the Polytechnic Institute of Brooklyn. \nPeter J Sullivan has been President and Principal Engineer for Advanced Analysis Associates\, Inc\, for the past 26 years. His performs Forensic Expert Witness investigations for clients throughout the US\, and he testifies in State and Federal Courts throughout the US. In his investigative capacity\, he performs data downloads and imaging of Electronic Control Modules and ESI\, including analysis and application to elements of accident reconstruction\, validation\, and electronic testing\, on almost all makes and models of vehicles\, equipment. and hand-held electronics. He holds a Bachelor of Science in Chemistry and Physics (‘84) from Texas State University. URL:https://c2smart.engineering.nyu.edu/event/forensic-analysis-of-vehicular-malfunctions-using-on-board-data/ LOCATION:370 Jay Street\, Room 825\, 370 Jay Street\, Room 1201\, New York City\, NY\, 11201\, United States CATEGORIES:Big Data & Planning for Smart Cities END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211123T120000 DTEND;TZID=America/New_York:20211123T130000 DTSTAMP:20260429T144323 CREATED:20211105T122636Z LAST-MODIFIED:20211122T163031Z UID:69661-1637668800-1637672400@c2smart.engineering.nyu.edu SUMMARY:State-of-the-Field: Application of Structural Health Monitoring (SHM) and Weigh-In-Motion (WIM) Sensors For Infrastructure Assessment and Resiliency DESCRIPTION:Structural Health Monitoring (SHM) is being applied to many types of infrastructure to determine its durability\, performance and response to various loading conditions. Weigh-In-Motion (WIM) provides an efficient way to estimate the static weight of a vehicle by measuring the dynamic tire force of a moving vehicle. Recently\, emphasis has been placed on coupling these two complementary technologies in infrastructure evaluation and resiliency: SHM provides structural response or resistance while WIM provides actual loading conditions and future load prediction that enables determination of infrastructure capacity\, resulting in the operating service loads needed for developing statistical live load models for use at the strength and service limit states. \nDr. Nassif will provide an overview of how SHM\, WIM\, and related sensor technologies have evolved over the last three decades\, emphasizing the current SHM programs of civil infrastructure in the NY/NJ Metropolitan Area. He’ll discuss various projects highlighting structural modeling and analysis\, sensor networking and instrumentation\, data processing\, model validation\, and probabilistic predictions. Dr. Nassif will also provide an overview of how various sensor data might be processed to assess actual behavior of the structure at various stages\, and how unique solutions adopted in response to various agencies’ design and construction issues have led to major improvements in model predictions\, calibration of reliability-based design codes\, and successful implementation and modifications of technical specifications. \nSPEAKER \nDr. Nassif is a Professor in the Department of Civil and Environmental Engineering and Director of the Rutgers Infrastructure Monitoring and Evaluation (RIME) Group at Rutgers University\, where he has established the Bridge Engineering program. He is also serving the Associate Director for Outreach and Technology Transfer at the federally-supported C2SMART Tier 1 University Transportation Center (UTC) at which Dr. Nassif is leading the significant efforts to conduct the research area of the resilient\, secure\, and smart transportation infrastructure. URL:https://c2smart.engineering.nyu.edu/event/state-of-the-field-weigh-in-motion-wim-technology/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Infrastructure Resiliency,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211118T120000 DTEND;TZID=America/New_York:20211118T130000 DTSTAMP:20260429T144323 CREATED:20211026T171524Z LAST-MODIFIED:20211118T192957Z UID:69599-1637236800-1637240400@c2smart.engineering.nyu.edu SUMMARY:Cycle Speak with Laura Fox: Citi Bike & Urban Mobility DESCRIPTION:  \n  \nWhat’s the Chatter? is a new series from C2SMART which brings transportation students into conversation with some of today’s leading mobility companies to discuss innovation\, disruption\, and possibility in today’s smart cities. In this installment\, we will be joined by Laura Fox\, General Manager at Lyft’s CitiBike program\, to discuss the role of shared mobility systems\, from bikes to taxis\, in driving the evolution of smart cities and urban mobility. Laura will share updates and highlights from Lyft’s micromobility programming\, and discuss bike safety with C2SMART student Suzana Duran Bernardes\, followed by an audience Q&A. \nEVENT RECORDING \n \nSPEAKER \nLaura Fox is Lyft’s General Manager for Citi Bike\, where she oversees strategy\, growth\, operations\, marketing\, new product launches\, and the local P&L – as well as community engagement and city partnerships. In recognition of her leadership in NYC\, she was named to City&State’s Transportation Power 100 and NYC’s Mayoral COVID recovery taskforce. Laura is also a professor of MBA strategy at NYU Stern School of Business. Prior to joining Lyft\, Laura worked for Sidewalk Labs\, an Alphabet company dedicated to building the city of the future through urban tech; worked at the Boston Consulting Group and led projects for urban mobility\, technology\, and cultural organizations; edited a book on bottom-up urban development and innovation (“Order Without Design” by Alain Bertaud); built a conversation game focused on deepening human connections; delivered a TED talk on the role of curiosity and ignorance in the creative process; created digital strategies and products in the Americas\, Middle East\, and Asia for social enterprises; and more. \nOutside of work\, Laura lives in Brooklyn – and is a startup mentor/advisor\, on the board of Governors Island and BCG’s alumni group\, and on the leadership committee of LISC and the Museum of Food and Drink (MOFAD). \nLaura holds a B.A. from the University of Notre Dame and an M.B.A. from New York University (NYU)\, Stern School of Business. Originally from Chicago\, Laura is most comfortable when she is uncomfortable\, and learning something new. \nSTUDENT MODERATOR \nSuzana Duran Bernardes is a Ph.D. student in Transportation Planning and Engineering in the Department of Civil and Urban Engineering at New York University Tandon School of Engineering. She completed her Master’s in Transportation Planning and Engineering in 2020 at New York University Tandon School of Engineering. Her Master project involved the development of a novel multi-sensor platform to collect naturalistic cycling data. Suzana focuses on leveraging non-motorized vehicles’ safety studies through new ways of collecting and analyzing data. Her research interests include traffic safety\, Intelligent Transportation Systems (ITS)\, and urban mobility. URL:https://c2smart.engineering.nyu.edu/event/bus-stop-chatter-citi-bike-urban-mobility/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Shared & Micromobility,Student Events,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211117T120000 DTEND;TZID=America/New_York:20211117T130000 DTSTAMP:20260429T144323 CREATED:20211102T205148Z LAST-MODIFIED:20211102T205148Z UID:69645-1637150400-1637154000@c2smart.engineering.nyu.edu SUMMARY:Building a Decision Support Tool for Optimal & Equitable Distribution of EV Charging Stations in NYC DESCRIPTION:Electric vehicles (EV) are key to the world’s decarbonization effort\, but access to charging infrastructure may become a prominent adoption barrier\, the burden of which will disproportionately affect low- and middle-income communities\, communities of color\, areas near multi-family housing\, and residential and rural areas. Researchers led by Professor Yury Dvorkin\, NYU Tandon\, and Professor Burçin Ünel\, Energy Policy Director at the Institute for Policy Integrity at NYU School of Law\, set out to address the accessibility of EV charging to build a decision-support tool to inform where and how to provide optimal\, equitable investments in EV charging infrastructure. In the first phase of their research\, they found that availability and affordability of EV charging stations in NYC are more strongly associated with median household income and the percentage of white population in each zip code\, rather than population density. \nThe team is hosting this update on their research so far\, seeking input from primary stakeholders to understand the technological gaps that prevents widespread expansion of EV charging infrastructure and to encourage their continued participation in this research to drive practically feasible and ethical research outcomes. URL:https://c2smart.engineering.nyu.edu/event/building-a-decision-support-tool-for-optimal-equitable-distribution-of-ev-charging-stations-in-nyc/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Big Data & Planning for Smart Cities,Equity & Accessibility,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211116T150000 DTEND;TZID=America/New_York:20211116T153000 DTSTAMP:20260429T144323 CREATED:20211105T120943Z LAST-MODIFIED:20211105T120943Z UID:69656-1637074800-1637076600@c2smart.engineering.nyu.edu SUMMARY:Roadmap to Cooperative & Automated Transportation DESCRIPTION:The world has placed high hopes in automated vehicle (AV) technologies in revolutionizing transportation system performance\, including multiplying roadway capacity and minimizing energy consumption. However\, research conducted by Dr. Xiaopeng (Shaw) Li and colleagues has found that existing production AVs exhibit comparable or even inferior performance compared to human-driven vehicles (HDV). To bridge this gap and realize the full potential of AVs\, Dr. Li will propose a roadmap of cooperative & automated transportation\, from optimal trajectory control in ideal conditions through a cooperative control framework incorporating edge computing and machine learning under real-world constraints. This analysis of ideal conditions (e.g.\, pure AV with perfect information and control) reveals critical theoretical properties specifying feasible time-space ranges of AV movements. Combined with customized mathematical programming and control methods\, these properties lead to efficient solutions (e.g.\, in milliseconds) to real-time optimal trajectory planning problems. The solutions discussed by Dr. Li will serve as the building blocks for solving more realistic AV control problems (e.g.\, traffic mixed with human drivers\, considering different cooperation classes\, with stochasticity and errors). URL:https://c2smart.engineering.nyu.edu/event/roadmap-to-cooperative-automated-transportation/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Connected & Autonomous Mobility,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211112T110000 DTEND;TZID=America/New_York:20211112T130000 DTSTAMP:20260429T144323 CREATED:20211026T172814Z LAST-MODIFIED:20211115T143855Z UID:69416-1636714800-1636722000@c2smart.engineering.nyu.edu SUMMARY:Equity in Transportation Research DESCRIPTION:As C2SMART heads into its sixth year of projects\, we seek to develop and fund projects which will be bigger and bolder than ever before. We are looking for projects which showcase possibility\, address complex challenges\, broaden collaboration\, and directly strengthen the transportation field. Research and development projects will be external industry/agency driven\, including an additional emphasis and reserve of funding for non-traditional research in the form of workshops and workforce development. There will also be dedicated funding for student-focused initiatives including cooperative education programs\, student-led research projects\, student entrepreneurship\, and summer programs for graduate\, undergraduate\, and K-12 students. \nAcross and underlying each of these themes\, however\, will be an emphasis on transportation equity. Each proposal will\, in some form\, need to be prepared to discuss how the project will directly address equity concerns\, or else include an equity performance measure of some kind. \nTo help researchers conceptualize what this means\, and to set guidance around how UTCs can lead the way in solving transportation equity problems\, C2SMART will be hosting an Equity in UTC Research panel to: \n\nBetter educate our network of PIs and researchers towards ensuring that each project has a meaningful equity component and how to  factor equity concerns into its overall methodology\,\nDirectly engage with and answer outstanding transportation equity problems that are not being addressed by the wider research community\, and\nEngage with both traditional and non-traditional equity partners on our projects.\n\nPOST-EVENT RESOURCES  \n\nEquity in Transportation Research\nSpeaker presentation: Luis Artieda Presentation\nSpeaker presentation: Alice Grossman Presentation\nSpeaker presentation: David Bragdon Presentation\nSpeaker presentation: Amy Fong Presentation\n\n \nSPEAKERS \nAmy Fong is a mathematical statistician at the Department of Labor Office of Disability Employment Policy. Amy does research on the employment outcomes and labor force participation of people with disabilities. She is interested in how access to services\, utilities and the built environment (such as public transportation and broadband internet) affect the well-being and socioeconomic status of people with disabilities. She is set to discuss how the US Census Bureau measures disability and why disability is a function of the built environment; illustrate how disability prevalence (rates of disability) by age\, race and gender varies across New York City; and explain where researchers can access the data themselves. \nAlice Grossman is a Research Scientist with the Center for Advancing Research in Transportation Emissions\, Energy\, and Health at Texas Transportation Institute. Her research and project management experience covers various areas of multimodal transportation with a focus accessibility\, technology in transportation\, vulnerable road user safety\, and performance measurement. She was previously a Senior Policy Analyst at the Eno Center for Transportation and is currently a Science\, Technology\, and Policy Fellow with the Inter-American Institute for Global Change and was a 2020-2021 Science Technology and Policy Fellow with the American Association for the Advancement of Science (AAAS STPF) at the National Oceanic and Atmospheric Administration (NOAA). \nLuis Artieda is an Inclusion and Sustainability expert with 10 years of experience in development at an international and local level. He focuses on the intersection of community economic development\, inclusion\, and sustainability. He was responsible for the strategic launch of the global campaign Cities For All\, as well as organizing diverse stakeholder events and high-level roundtables to global international forums (UNHabitat World Urban Forum\, Forum of Latin American Ministries of Housing\, UN High-Level Political Forum\, etc). He has facilitated high-level capacity-building workshops about inclusion and sustainability to city officials such as Amsterdam\, Barcelona\, and Abu Dhabi\, as well as the Inter-American Development\, World Bank\, and the European Bank for Reconstruction and Development. \nDavid Bragdon has been at the helm of TransitCenter since 2013\, leading a NYC-based civic foundation dedicated to improving public transportation to make cities more just\, sustainable\, and prosperous. TransitCenter conducts applied research and supports community-based advocacy. David spent the early part of his career in the maritime and aviation freight industries. During 2002-10\, he was elected to two terms as President of the Metro Council\, the regional government for the Portland\, Oregon area. He served as Director of New York City Mayor Michael Bloomberg’s Office of Long-term Planning and Sustainability 2010-12. Transportation is a passion and a vocation for David. He drove a taxi cab for a year\, has jump-seated a 747 freighter into a remote airport in the far eastern steppes of the then-USSR\, rode a Dutch container ship up the Strait of Malacca\, and twice (once for five minutes in Minnesota and once for ten minutes in Iowa) has been allowed to run the engineer’s throttle on freight trains. He likes to move big things. \n  URL:https://c2smart.engineering.nyu.edu/event/equity-in-transportation-research/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Equity & Accessibility,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211109T120000 DTEND;TZID=America/New_York:20211109T130000 DTSTAMP:20260429T144323 CREATED:20211105T150532Z LAST-MODIFIED:20211105T160443Z UID:69665-1636459200-1636462800@c2smart.engineering.nyu.edu SUMMARY:Using AI to Improve CAV Operations in Mixed Traffic DESCRIPTION:Rapid advances in artificial intelligence and machine learning (AI/ML) offer unprecedented opportunities for improving the operations of connected and autonomous vehicles (CAVs) in a traffic stream that also includes human driven vehicles. Dr. Sikai (Sky) Chen will discuss recent developments in vehicle automation with mixed traffic stream\, including the challenges and opportunities associated with AI/ML algorithm development and application for CAV operations. These include leveraging real-time data using AI/ML to improve safety\, mobility\, and efficiency\, and rapidness of response to changing traffic environments. Dr. Chen will also discuss AI/ML cooperative control algorithms for multi-agent systems that consider dynamic interactions between heterogeneous system users (e.g.\, human drivers\, connected and/or automated vehicles). Results from extensive simulation experiments will be presented to demonstrate the effectiveness of such cooperative control innovations. Insights from this research can provide guidance to CAV manufacturers and transport agencies regarding infrastructure investments specifically for CAV operations. URL:https://c2smart.engineering.nyu.edu/event/using-ai-to-improve-cav-operations-in-mixed-traffic/ CATEGORIES:Connected & Autonomous Mobility,Virtual Events ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211026T120000 DTEND;TZID=America/New_York:20211026T130000 DTSTAMP:20260429T144323 CREATED:20211015T153100Z LAST-MODIFIED:20211018T190550Z UID:69120-1635249600-1635253200@c2smart.engineering.nyu.edu SUMMARY:State of the Field: Structural Health Monitoring (SHM) towards Infrastructure Resiliency DESCRIPTION:In this event series\, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They’ll share advances\, opportunities\, predictions\, research bottlenecks\, and what perspectives and skills are needed from researchers and the workforce of tomorrow towards tackling one area of today’s most pressing problems. \nState of the Field: Structural Health Monitoring (SHM) towards Infrastructure Resiliency \nWhat does the best of transportation engineering research have to say about maintenance\, rehabilitation\, and replacement of critical infrastructure? How are the latest advances in technology being applied to extend lifespans of structures\, and how can this technology be scaled to infrastructure projects around the United States? Structural Health Monitoring provides critical insight into answering these questions using new technologies that are changing the ways we tackle maintenance and rehabilitation of structures. \nThe first event in this series will be a webinar delivered by Erik Zuker\, PE\, of HNTB\, on the state of SHM applications and case studies from the Mario M. Cuomo Bridge\, Verrazzano Narrows Bridge\, and the Marine Parkway Bridge\, in the New York City area. URL:https://c2smart.engineering.nyu.edu/event/state-of-the-field-structural-health-monitoring-shm-towards-infrastructure-resiliency/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Infrastructure Resiliency,Webinars ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211022T090000 DTEND;TZID=America/New_York:20211022T103000 DTSTAMP:20260429T144323 CREATED:20211019T142036Z LAST-MODIFIED:20211019T142036Z UID:69368-1634893200-1634898600@c2smart.engineering.nyu.edu SUMMARY:NYC 2025: Road to Recovery Series DESCRIPTION:The inaugural event of the NYC 2025: Road to Recovery Series\, a partnership between NYU Wagner and the Stern Center for Sustainable Business\, presents an interactive panel featuring contributors to NYC 2025. Panelists will discuss their vision for a stronger\, fairer and more equitable New York City. \nAnnounced this summer\, NYC 2025 convenes non-partisan experts to hold an ongoing conversation on issues that must be addressed for New York City to become a stronger and more equitable city than it was before COVID-19. This event is part of a series of public discussions following the release of the NYC 2025 policy proposals. URL:https://c2smart.engineering.nyu.edu/event/nyc-2025-road-to-recovery-series/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Equity & Accessibility,Virtual Events ORGANIZER;CN="NYU Wagner Graduate School of Public Service":MAILTO:https://wagner.nyu.edu/contact END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211020T090000 DTEND;TZID=America/New_York:20211020T223000 DTSTAMP:20260429T144323 CREATED:20211015T152838Z LAST-MODIFIED:20211015T153235Z UID:69117-1634720400-1634769000@c2smart.engineering.nyu.edu SUMMARY:Flooding and Public Transportation DESCRIPTION:Hurricane Ida presented the latest example of climate change impacts to the subway system\, with extensive damage and a systemwide shutdown. As storms intensify and sea levels rise\, New York City’s public transportation systems will endure repetitive flooding and destructive events. \nThe NYU Rudin Center for Transportation presents a virtual panel discussion about mitigating climate change impacts\, keeping transit riders safe and reassured\, and activating alternative modes. \nPanelists: \n\nChante Harris\, Director\, Climate Investment & Partnerships\, SecondMuse\nGreg Lindsay\, Director of Applied Research\, NewCities\nJose Martinez\, Transportation Reporter\, THE CITY\nJamie Torres-Springer\, Commissioner\, NYC Department of Design and Construction \nModerated by Sarah M. Kaufman\, NYU Rudin Center for Transportation URL:https://c2smart.engineering.nyu.edu/event/flooding-and-public-transportation/ CATEGORIES:Infrastructure Resiliency,Virtual Events ORGANIZER;CN="Rudin Center for Transportation Policy and Management":MAILTO:rudin.center@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20211019T150000 DTEND;TZID=America/New_York:20211019T160000 DTSTAMP:20260429T144323 CREATED:20211015T152545Z LAST-MODIFIED:20211015T153257Z UID:69113-1634655600-1634659200@c2smart.engineering.nyu.edu SUMMARY:Proactive Safety Management Empowered by Big Data DESCRIPTION:In the last few decades\, data-driven methods have been used to assist with key tasks of road safety management like hotspot identification\, countermeasure development\, and before-after evaluation. These methods have traditionally relied heavily on historical crash data for safety assessment\, which can take a long time to collect. Professor Kun Xie will share a more proactive and time-efficient approach based on surrogate safety measures (SSMs)\, which can assess safety by capturing the more frequent “near-crash” situations. Massive amounts of data from emerging sources like GPS devices\, smartphone apps\, traffic cameras\, naturalistic driving\, and connected vehicles (CV) can be leveraged to extract SSMs on a large scale\, presenting new opportunities for proactive traffic safety management. Results will show that risk status is a reliable criterion for safety assessment\, and promisingly point towards the use CV data for proactive traffic safety management. URL:https://c2smart.engineering.nyu.edu/event/proactive-safety-management-empowered-by-big-data/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Big Data & Planning for Smart Cities,Safety in Transportation Systems,Webinars ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210929T120000 DTEND;TZID=UTC:20210929T130000 DTSTAMP:20260429T144323 CREATED:20210909T211618Z LAST-MODIFIED:20210909T211618Z UID:1706-1632916800-1632920400@c2smart.engineering.nyu.edu SUMMARY:Employer-Backed Bikes Concept Showcase DESCRIPTION:Join the New York City Economic Development Corporation (NYCEDC)\, in partnership with NYU C2SMART Center\, Fraunhofer\, and Nelson\Nygaard\, as they convene public and private stakeholders toward implementing this bike access model in NYC. The goal of this effort is to define the opportunity and connect stakeholders interested in growing cycling for employees in New York City. The Concept Showcase will evaluate potential approaches to catalyze employer leasing programs for bikes\, e-bikes\, and scooters in New York City. It will take place on Sept 29\, 12 to 1 PM ET. You can register for that event here. URL:https://c2smart.engineering.nyu.edu/event/employer-backed-bikes-concept-showcase/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Shared & Micromobility,Virtual Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20210908T150000 DTEND;TZID=UTC:20210908T160000 DTSTAMP:20260429T144323 CREATED:20210902T204704Z LAST-MODIFIED:20210902T204704Z UID:1480-1631113200-1631116800@c2smart.engineering.nyu.edu SUMMARY:Incentive Design for Promoting Ridesharing DESCRIPTION:Traffic congestion has become a serious issue around the globe\, partly owing to single-occupancy commuter trips. Ridesharing can present a suitable alternative for serving commuter trips. However\, there are several important obstacles that impede ridesharing systems from becoming a viable mode of transportation\, including the lack of a guarantee for a ride back home as well as the difficulty of obtaining a critical mass of participants. At this event\, Neda Masoud will discuss a study which addresses these obstacles by introducing a Traveler Incentive Program (TIP) to promote community-based ridesharing with a ride-back home guarantee among commuters. The TIP program allocates incentives to (1) directly subsidize a select set of ridesharing rides\, and (2) encourage a few\, carefully selected set of travelers to change their travel behavior. We formulate the underlying ride-matching problem as a budget-constrained min-cost flow problem and present a Lagrangian Relaxation-based algorithm with worst-case optimality bound to solve large-scale instances of this problem in polynomial time. We further propose a polynomial-time budget-balanced version of the problem. Numerical experiments suggest that allocating subsidies to change travel behavior is significantly more beneficial than directly subsidizing rides. Furthermore\, using a flat tax rate as low as 1% can double the system’s social welfare in the budget-balanced variant of the incentive program. \nBio: Neda Masoud is an Assistant Professor of Civil and Environmental Engineering at the University of Michigan. She holds a Bachelor’s of Science Degree in Industrial Engineering and a Master’s of Science degree in Physics. She received her Ph.D. in Civil and Environmental Engineering from the University of California Irvine. Her research focuses on devising operational and planning tools to facilitate the transition into the next generation of mobility systems\, which are envisioned to be connected\, automated\, electrified\, and shared. URL:https://c2smart.engineering.nyu.edu/event/incentive-design-for-promoting-ridesharing/ LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States CATEGORIES:Big Data & Planning for Smart Cities,Virtual Events,Webinars END:VEVENT END:VCALENDAR