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DTSTART;TZID=America/New_York:20211207T120000
DTEND;TZID=America/New_York:20211207T133000
DTSTAMP:20260421T153405
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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:20211215T140000
DTEND;TZID=America/New_York:20211215T150000
DTSTAMP:20260421T153405
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:20220215T123000
DTEND;TZID=America/New_York:20220215T133000
DTSTAMP:20260421T153405
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:20220222T120000
DTEND;TZID=America/New_York:20220222T130000
DTSTAMP:20260421T153405
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:20220224T120000
DTEND;TZID=America/New_York:20220224T130000
DTSTAMP:20260421T153405
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:20220328T120000
DTEND;TZID=America/New_York:20220328T170000
DTSTAMP:20260421T153405
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:20220401T130000
DTEND;TZID=America/New_York:20220401T140000
DTSTAMP:20260421T153405
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:20220420T120000
DTEND;TZID=America/New_York:20220420T130000
DTSTAMP:20260421T153405
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:20220708T150000
DTEND;TZID=America/New_York:20220708T160000
DTSTAMP:20260421T153405
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:20220912T100000
DTEND;TZID=America/New_York:20220912T110000
DTSTAMP:20260421T153405
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;VALUE=DATE:20221015
DTEND;VALUE=DATE:20221024
DTSTAMP:20260421T153405
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:20221116T160000
DTEND;TZID=America/New_York:20221116T170000
DTSTAMP:20260421T153405
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;TZID=America/New_York:20230206T174500
DTEND;TZID=America/New_York:20230206T193000
DTSTAMP:20260421T153405
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:20230221T160000
DTEND;TZID=America/New_York:20230221T170000
DTSTAMP:20260421T153405
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:20230222T083000
DTEND;TZID=America/New_York:20230222T120000
DTSTAMP:20260421T153405
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:20230406T120000
DTEND;TZID=America/New_York:20230406T130000
DTSTAMP:20260421T153406
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:20230516T120000
DTEND;TZID=America/New_York:20230516T130000
DTSTAMP:20260421T153406
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:20230519T140000
DTEND;TZID=America/New_York:20230519T150000
DTSTAMP:20260421T153406
CREATED:20230503T170846Z
LAST-MODIFIED:20230504T194131Z
UID:79072-1684504800-1684508400@c2smart.engineering.nyu.edu
SUMMARY:Deep Neural Networks for Choice Analysis
DESCRIPTION:Individual choice has been an enduring question across disciplines. Deep neural networks (DNNs) have demonstrated their high predictive power over the classical discrete choice models (DCMs) in many empirical studies. However\, DNNs as a new modeling paradigm still present pressing challenges in interpretation\, generalization\, and robustness. This presentation introduces a deep choice framework that synergizes DNNs and DCMs to model individual travel decision. It demonstrates that the DNNs can provide economic information as complete as classical DCMs\, including choice predictions\, choice probabilities\, market shares\, substitution patterns of alternatives\, social welfare\, heterogeneous values of time\, among many others\, thus partially resolving the interpretation challenge. It introduces how to use the prior behavioral knowledge to design a particular DNN architecture with alternative-specific utility functions\, which improves the generalizability of DNNs with a domain-knowledge-based regularization method. It then extends the framework to deep hybrid models\, which integrates classical numerical data and the unstructured data (i.e.\, imagery and graphs) to analyze travel behavior. Overall\, this presentation lays out a new foundation of using DNNs to analyze travel demand\, enhancing economic interpretation\, architectural design\, and robustness of deep learning through classical utility theory. \n\n\nSPEAKER \nShenhao Wang is an assistant professor and the director of the Urban Artificial Intelligence Laboratory at the University of Florida. He is also a research affiliate to Urban Mobility Lab and Media Lab at the Massachusetts Institute of Technology. He seeks to develop fundamental theory for urban science using artificial intelligence. He develops deep choice models\, which analyze individual decision-making by integrating discrete choice models and deep learning with applications to urban travel behavioral analysis. He also analyzes collective mobility networks by integrating classical network theory and graph neural networks to quantify risk and uncertainty\, thus promoting resilient economic growth. Dr. Wang completed his interdisciplinary Ph.D. in Computer and Urban Science at Massachusetts Institute of Technology in 2020. He received B.A. in Economics from Peking University (2014) and B.A. in architecture and law from Tsinghua University (2011)\, Master of Science in Transportation\, and Master of City Planning from MIT (2017).
URL:https://c2smart.engineering.nyu.edu/event/deep-neural-networks-for-choice-analysis/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Big Data & Planning for Smart Cities,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230522T153000
DTEND;TZID=America/New_York:20230522T164500
DTSTAMP:20260421T153406
CREATED:20230503T171010Z
LAST-MODIFIED:20230504T154007Z
UID:79082-1684769400-1684773900@c2smart.engineering.nyu.edu
SUMMARY:USDOT Free Public Webinar:  Intersection Safety Challenge Prize Competition
DESCRIPTION:The U.S. Department of Transportation (DOT) will host a webinar on May 22 to discuss the Intersection Safety Challenge Prize Competition\, which launched on April 25\, 2023. \nEach year\, roughly one-quarter of traffic fatalities and about one-half of all traffic injuries in the United States are attributed to intersections. According to the latest data from the National Highway Traffic Safety Administration (NHTSA)\, an estimated 42\,939 people died in motor vehicle traffic crashes in 2021\, a 10.1% increase compared to 39\,007 fatalities reported in 2020. From 2020 to 2021\, pedestrian and pedalcyclist fatalities and injuries increased at an alarming rate. For example\, pedestrian fatalities increased 13% and pedestrian injuries increased 11% from 2020 to 2021. In response to growing concerns regarding the safety of vulnerable road users at intersections and as part of the recent National Roadway Safety Strategy (NRSS) Call to Action\, the DOT aims to transform intersection safety through the innovative application of emerging technologies to identify and mitigate unsafe conditions involving vehicles and vulnerable road users. \nTo help address this growing problem and support U.S. DOT’s vision\, U.S. DOT is launching the Intersection Safety Challenge. This Challenge includes a multi-stage Prize Competition to encourage teams of innovators and end-users to develop and test their intersection safety systems (ISS) to compete for up to $6 million total in prizes. \nThe Challenge is considering the potential of emerging technologies to transform intersection safety and ensure equity among all road users (including vehicles and vulnerable road users). Leveraging emerging technologies to anticipate\, prevent\, and mitigate unsafe roadway conditions could augment traditional safety engineering in roadway design and intersection control. These emerging technologies could include machine vision\, machine perception\, sensor fusion\, real-time decision-making\, artificial intelligence\, and vehicle-to-everything (V2X) communications (among other approaches). These technologies in most cases rely on real-time decision-making informed by data ingested and analyzed from multiple sensor systems. \nThe webinar will discuss the U.S. DOT Intersection Safety Challenge Prize Competition\, including a program overview\, the Prize Competition structure\, and Stage 1A expectations. Please register for this webinar by visiting the following registration link: https://iscwebinar.eventbrite.com. \nFor more information about the program\, please visit the program website: https://its.dot.gov/isc. For more information about the ITS JPO\, please visit: https://www.its.dot.gov/.
URL:https://c2smart.engineering.nyu.edu/event/usdot-free-public-webinar-intersection-safety-challenge-prize-competition/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Safety in Transportation Systems,Virtual Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230524T120000
DTEND;TZID=America/New_York:20230524T130000
DTSTAMP:20260421T153406
CREATED:20230425T133642Z
LAST-MODIFIED:20230504T153822Z
UID:79046-1684929600-1684933200@c2smart.engineering.nyu.edu
SUMMARY:Summer Webinar Series- Route Choice and Spatio-Temporal Behavior: The Perturbed Utility Route Choice Model
DESCRIPTION:  \nThe perturbed utility route choice model represents traveler behavior as a utility maximizing assignment of flow across an entire network under a flow conservation constraint. Substitution between routes depends on how much they overlap. The model is estimated considering the full set of route alternatives\, and no choice set generation is required. Nevertheless\, estimation requires only linear regression and is very fast. Predictions from the model can be computed using convex optimization\, and computation is straightforward even for large networks. In this talk\, Professor Fosgerau presents results from application to large datasets (1\,337\,096 GPS traces of car trips\, 280\,000 GPS traces of bicycle trips) in Copenhagen. \nSPEAKER \nMogens Fosgerau is a professor in the Economics Department\, University of Copenhagen. His areas of research include micro-economics and micro-econometrics applied to problems in transportation\, in particular to issues concerning time\, reliability and congestion. \nPresented by the Transportation Research Board Subcommittee on Route Choice and Spatio-Temporal Behavior (AEP30/AEP40)
URL:https://c2smart.engineering.nyu.edu/event/route-choice-and-spatio-temporal-behavior-the-perturbed-utility-route-choice-model/
CATEGORIES:Big Data & Planning for Smart Cities
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230613T120000
DTEND;TZID=America/New_York:20230613T130000
DTSTAMP:20260421T153406
CREATED:20230602T162031Z
LAST-MODIFIED:20230602T162031Z
UID:79286-1686657600-1686661200@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Quantifying and Visualizing City Truck Route Network Efficiency Using a Virtual Testbed
DESCRIPTION:Presented by: Joseph Chow\, Associate Professor\, NYU\nHaggai Davis\, PHD Candidate\, NYU\nTuesday\, June 13\, 2023: 12:00pm – 1:00pm ET | Virtual
URL:https://c2smart.engineering.nyu.edu/event/webinar-quantifying-and-visualizing-city-truck-route-network-efficiency-using-a-virtual-testbed/
CATEGORIES:Big Data & Planning for Smart Cities
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230615T150000
DTEND;TZID=America/New_York:20230615T160000
DTSTAMP:20260421T153406
CREATED:20230531T163314Z
LAST-MODIFIED:20230531T163536Z
UID:79276-1686841200-1686844800@c2smart.engineering.nyu.edu
SUMMARY:Summer Webinar Series
DESCRIPTION:Presented by the Transportation Research Board (TRB) subcommittee AEP30(2) Route Choice and Spatio-Temporal Behavior \nSpeaker: Professor Marcela A. Munizaga\, Universidad de Chile.
URL:https://c2smart.engineering.nyu.edu/event/summer-webinar-series/
CATEGORIES:Big Data & Planning for Smart Cities
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230629T120000
DTEND;TZID=America/New_York:20230629T130000
DTSTAMP:20260421T153406
CREATED:20230620T165219Z
LAST-MODIFIED:20230622T153755Z
UID:79431-1688040000-1688043600@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Autonomous Vehicle Good Citizenry Standard
DESCRIPTION:Presented by:\nSarah Kaufman\, Interim Director\, NYU Rudin Center for Transportation\nJoseph Chow\, Associate Professor\, NYU\nThursday\, June 29\, 2023: 12:00pm – 1:00pm ET | Virtual \nNew York City is moving toward a more efficient\, safer\, and sustainable future that includes autonomous vehicles for transit\, e-commerce\, and medical transport. However\, autonomy often runs on incomplete or flawed foundations: training data sets might not prepare vehicles to “see” people of color; transit shuttles may operate without safety considerations for women\, frequent targets of sexual harassment on transit; delivery pods might be sharing personal data with several third parties. Although the City will regulate vehicle safety and efficacy on the street\, autonomous mobility must be evaluated under more ambitious and holistic standards. The Responsible Autonomous Mobility (RAM) Framework aims to identify partnership in several areas.
URL:https://c2smart.engineering.nyu.edu/event/webinar-autonomous-vehicle-good-citizenry-standard/
CATEGORIES:Connected & Autonomous Mobility
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230717T180000
DTEND;TZID=America/New_York:20230717T193000
DTSTAMP:20260421T153406
CREATED:20230620T170709Z
LAST-MODIFIED:20230620T170709Z
UID:79435-1689616800-1689622200@c2smart.engineering.nyu.edu
SUMMARY:Transit Techies July Meetup
DESCRIPTION:Technologists who love transit.\nTransit enthusiasts who hack!\nAt Transit Techies NYC\, speakers present transit-related projects. Presenters may be household hackers\, data scientists\, researchers\, product developers\, or you! All presentations will be technical and awesome.
URL:https://c2smart.engineering.nyu.edu/event/transit-techies-july-meetup/
CATEGORIES:Connected & Autonomous Mobility
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230814T120000
DTEND;TZID=America/New_York:20230814T130000
DTSTAMP:20260421T153406
CREATED:20230810T200203Z
LAST-MODIFIED:20230810T200252Z
UID:79982-1692014400-1692018000@c2smart.engineering.nyu.edu
SUMMARY:Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: Phase 2
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/digital-twin-technologies-towards-understanding-the-interactions-between-transportation-and-other-civil-infrastructure-systems-phase-2/
CATEGORIES:Big Data & Planning for Smart Cities,Webinars
LOCATION:https://nyu.zoom.us/webinar/register/WN_jQg9UllxRB26w9QmMn9OqQ
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T093000
DTEND;TZID=America/New_York:20230922T110000
DTSTAMP:20260421T153406
CREATED:20230912T190235Z
LAST-MODIFIED:20230912T190235Z
UID:80573-1695375000-1695380400@c2smart.engineering.nyu.edu
SUMMARY:Reconnecting Communities: Creating More Equitable Outcomes in Transportation Projects
DESCRIPTION:Presented by the NYU Rudin Center for Transportation and AECOMThe Infrastructure Investment and Jobs Act (IIJA) represents an unprecedented investment in our country’s transportation system. As part of this investment\, the Biden Administration is seeking not only to build more roads and bridges\, but to address the harmful impacts of past transportation projects\, which have disproportionately fallen on low income communities and communities of color. For neighborhoods around the country that remain divided or isolated by transportation infrastructure\, this investment is a once-in-a-generation opportunity for reconnection. This panel discussion\, co-hosted by AECOM\, will address: How might we best reconnect communities? What does reconnection involve\, and how can we ensure future projects mitigate any further disruption and displacement? Join us for a discussion of ongoing developments and how agencies and stakeholders can best seize this opportunity to create more equitable outcomes. Panelists: Ritchie Torres\, United States Representative (NY-15) Meera Joshi\, New York City Deputy Mayor for Operations Tom Prendergast\, Executive Vice President & New York Metro Chief Executive\, AECOM Moderator: Sarah Kaufman\, Director\, NYU Rudin Center for Transportation.
URL:https://c2smart.engineering.nyu.edu/event/reconnecting-communities-creating-more-equitable-outcomes-in-transportation-projects/
LOCATION:NYU Wagner\, 295 Lafayette Street
CATEGORIES:Equity & Accessibility
ORGANIZER;CN="Rudin Center for Transportation Policy and Management":MAILTO:rudin.center@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240425T140000
DTEND;TZID=America/New_York:20240425T150000
DTSTAMP:20260421T153406
CREATED:20240326T171207Z
LAST-MODIFIED:20240417T195043Z
UID:84503-1714053600-1714057200@c2smart.engineering.nyu.edu
SUMMARY:Seminar: The Intersection of Cloud Computing and Civil Infrastructure
DESCRIPTION:Over the coming years\, bridges and other physical infrastructure will experience unprecedented demands due to climate driven changes and trends in freight. These increasing demands are set against a backdrop of infrastructure deterioration as many assets reach the end of their intended life. This presentation will examine not only these trends but also technology that can be leveraged by the engineering community to better analyze\, understand\, and overcome these challenges. \nThe objective of this presentation is to familiarize the engineering community with technology tools that have become well established in adjacent industries and are poised to play a large role in the field of civil infrastructure. These include cloud computing\, programming languages\, data visualization and machine learning. These tools are examined in the context of two upcoming challenges for our industry: climate threats and increasingly heavy freight. Ultimately\, the engineers who know these problems inside and out should have the tools and skill sets to know the data inside and out. \nPresented by HNTB’s Erik Zuker\, PE\, and Rob Wildish\, EIT. Co-hosted by Rutgers and the RIME Bridge Resource Program
URL:https://c2smart.engineering.nyu.edu/event/seminar-the-intersection-of-cloud-computing-and-civil-infrastructure/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Infrastructure Resiliency
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240917T170000
DTEND;TZID=America/New_York:20240917T180000
DTSTAMP:20260421T153406
CREATED:20240904T162336Z
LAST-MODIFIED:20240911T161335Z
UID:85969-1726592400-1726596000@c2smart.engineering.nyu.edu
SUMMARY:Transportation & Urban Systems Fall Welcome Event
DESCRIPTION:Come meet your fellow students and faculty\, learn about upcoming courses\, programs\, and research opportunities in transportation and urban systems\, and eat snacks!
URL:https://c2smart.engineering.nyu.edu/event/transportation-urban-systems-fall-welcome-event/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Research Areas,Shared & Micromobility
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240926T093000
DTEND;TZID=America/New_York:20240926T110000
DTSTAMP:20260421T153406
CREATED:20240910T184102Z
LAST-MODIFIED:20240910T205234Z
UID:85999-1727343000-1727348400@c2smart.engineering.nyu.edu
SUMMARY:Mass Transit & Climate Change
DESCRIPTION:Public transportation plays a critical role in the fight against climate change. Transportation is the single largest source of greenhouse gas (GHG) emissions\, accounting for about 28% of the U.S. total. Of that\, public transportation contributes little\, but it plays a critical role in enabling mode shift. Reducing emissions and improving air quality in all modes\, including transit\, is also important to counter the effects of climate change. With excessive flooding and extreme heat on the rise\, climate change is challenging our transportation networks. In response\, the MTA recently published its Climate Resilience Roadmap\, a comprehensive framework to fortify the transit system against the impacts of climate change. With increased funding\, FTA is expanding public transportation’s role in mitigating climate effects\, making a record investment in low- and no-emission technology\, promoting more equitable transit-oriented development and fostering resiliency through grant programs. The NYU Rudin Center for Transportation presents an expert panel to discuss strategies that will enable our transit system to adapt and expand. \nPanelists\nVeronica Vanterpool\, Acting Administrator\, Federal Transportation Administration\nJamie Torres-Springer\, President\, MTA Construction & Development\nTom Prendergast\, Executive Vice President & New York Metro Chief Executive\, AECOM\nModerator: Sarah M. Kaufman\, Director\, NYU Rudin Center for Transportation\nThis event is sponsored by AECOM\, with additional support from NYU C2SMARTER\, a Tier 1 University Transportation Center\, and the NYU Climate Change Initiative Seed Grant.
URL:https://c2smart.engineering.nyu.edu/event/mass-transit-climate-change/
LOCATION:Kimmel Center\, Room 914\, 60 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Research Areas
END:VEVENT
END:VCALENDAR