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DTSTART;TZID=America/New_York:20220328T120000
DTEND;TZID=America/New_York:20220328T170000
DTSTAMP:20260406T141101
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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:20220304T140000
DTEND;TZID=America/New_York:20220304T150000
DTSTAMP:20260406T141101
CREATED:20220217T151150Z
LAST-MODIFIED:20220217T212946Z
UID:73303-1646402400-1646406000@c2smart.engineering.nyu.edu
SUMMARY:Build Your First Interactive Data Dashboard Using Dash Plotly
DESCRIPTION:Instructor: Murat Barlas\, New York UniversityHands-on exercise: YesLevel: No prior experience required\, but knowledge of Python is preferred.Schedule: March 4\, 2022 | 2:00 PM – 3:00 PM ET \nThis course is for students who want to learn about interactive data visualization. Students will learn the basics of creating an interactive data dashboard using Python. Data cleaning and formatting methods will be introduced using the pandas and NumPy libraries. Students will learn through examples of how to create a dashboard using a sample dataset using Dash Plotly. \nRSVP here.
URL:https://c2smart.engineering.nyu.edu/event/build-your-first-interactive-data-dashboard-using-dash-plotly/
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220225T140000
DTEND;TZID=America/New_York:20220225T150000
DTSTAMP:20260406T141101
CREATED:20220217T144154Z
LAST-MODIFIED:20220217T212946Z
UID:73300-1645797600-1645801200@c2smart.engineering.nyu.edu
SUMMARY:Hands-On Tutorials for Amazon Web Services (AWS)
DESCRIPTION:Instructor: Yubin Shen\, Research EngineerHands-on exercise: YesBeginner level: No prior experience required.Schedule: February 25\, 2022 | 2:00 PM – 3:00 PM ET \nThis course will go through the most popular Amazon Web Services (AWS) with two small projects: 1) build a static website using AWS Simple Storage Service (S3)\, and 2) build a WordPress website using AWS Elastic Computing (EC2) and Relational Database Service (RDS). \nRSVP here. \n \n 
URL:https://c2smart.engineering.nyu.edu/event/hands-on-tutorials-for-amazon-web-services-aws/
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220224T140000
DTEND;TZID=America/New_York:20220224T160000
DTSTAMP:20260406T141101
CREATED:20220223T211416Z
LAST-MODIFIED:20220223T211951Z
UID:73527-1645711200-1645718400@c2smart.engineering.nyu.edu
SUMMARY:USDOT Artificial Intelligence Video Forum
DESCRIPTION:The U.S. Department of Transportation (USDOT) will be offering a preview of the latest innovative research in artificial intelligence (AI) in transportation from University Transportation Centers (UTCs) across the country. The webinar will feature the research of 11 UTCs\, each of which has produced a short video showcasing their USDOT-funded AI research and its potential impact on society. Videos will address issues of national importance such as distracted driving\, pedestrian safety\, traffic mitigation\, and much more. The video presentation segment is approximately one hour\, with Q&A afterwards. \nFeatured universities include: \n\nCarnegie Mellon University\nClemson University\nLouisiana State University\nMissouri University of Science and Technology\nMorgan State University\nNew York University\, University of Texas – El Paso\, University of Washington\, Rutgers University\, and The City College of New York (consortium)\nNorth Carolina Agricultural and Technical State University\nSan Jose State University\nSouth Dakota State University\nThe University of Tennessee and The University of North Carolina at Chapel Hill\nVirginia Tech Transportation Institute
URL:https://c2smart.engineering.nyu.edu/event/usdot-artificial-intelligence-video-forum/
CATEGORIES:Conferences
LOCATION:https://c2smart.engineering.nyu.edu/event/usdot-artificial-intelligence-video-forum/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220224T120000
DTEND;TZID=America/New_York:20220224T130000
DTSTAMP:20260406T141101
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:20260406T141101
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:20220218T133000
DTEND;TZID=America/New_York:20220218T143000
DTSTAMP:20260406T141101
CREATED:20220203T172747Z
LAST-MODIFIED:20220217T212658Z
UID:72308-1645191000-1645194600@c2smart.engineering.nyu.edu
SUMMARY:Improving Contraflow Left-Turn Lane Design at Signalized Intersections to Decrease Traffic
DESCRIPTION:Contraflow left-turn lanes (CLL) are designed for increasing left-turn capacity and have been increasingly implemented at signalized intersections. Professor Yi Qi will introduce this innovative intersection design and the signal timing and geometric design required for its implementation. She will share a systematic method for determining CLL length and signal timing\, and a case study for evaluating the operational benefits of redesigning a real-world CLL intersection using these recommendations\, which resulted in decreased average traffic delay\, vehicle travel time\, and queue length. Professor Qi will also discuss an innovative signal timing strategy\, Counterclockwise Split Phasing (CSP) signal timing\, for implementing CLLs at signalized intersections with split phasing (SIWSPs.) She’ll share the results of a traffic simulation-based case study which indicate that by using the proposed CSP signal timing plan\, CLLs can be implemented at SIWSP to significantly reduce traffic congestion caused by high left-turn demand at this type of intersection. \n  \n \nDr. Yi Qi is the Chair of the Transportation Studies Department and a professor at Texas Southern University. Dr. Yi Qi is a very productive scholar who has directed more than 20 external foundered projects sponsored by various federal and local governments and has more than 50 journal publications\, and numerous conference proceeding papers and technical report publications. Her research areas include transportation safety analysis\, traffic signal operation\, intersection geometric design\, and GIS-based transportation system performance analysis. Dr. Qi is a nationally recognized scholar and serves as a member of numerous committees of national and international organizations. She received her M.S. and Ph.D. degrees in transportation planning and engineering from the Polytechnic University of New York (New York University Tandon School of Engineering) in 2002. In addition\, she has a B.S. in mathematics and an M.S. in probability and statistics from East China Normal University (ECNU) in China.
URL:https://c2smart.engineering.nyu.edu/event/improving-contraflow-left-turn-lane-design-at-signalized-intersections-to-decrease-traffic-2/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220215T123000
DTEND;TZID=America/New_York:20220215T133000
DTSTAMP:20260406T141101
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:20260406T141101
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:20260406T141101
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:20211203T140000
DTEND;TZID=America/New_York:20211203T150000
DTSTAMP:20260406T141101
CREATED:20211105T161705Z
LAST-MODIFIED:20211105T161754Z
UID:69674-1638540000-1638543600@c2smart.engineering.nyu.edu
SUMMARY:Get started with Blockchain: Distributed ledgers for real use cases\, using Hyperledger Fabric
DESCRIPTION:As blockchain continues to grow in popularity\, another type of distributed ledger is gaining traction as well: enterprise grade distributed ledgers. This session will give an overview on enterprise grade distributed ledgers\, answering the questions on how they work\, and when to use them. A tutorial using Hyperledger Fabric will also show how we can create and interact with our own traffic specialized distributed ledger\, to demonstrate a real use case.
URL:https://c2smart.engineering.nyu.edu/event/get-started-with-blockchain-distributed-ledgers-for-real-use-cases-using-hyperledger-fabric/
CATEGORIES:Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211201T140000
DTEND;TZID=America/New_York:20211201T150000
DTSTAMP:20260406T141102
CREATED:20211105T161327Z
LAST-MODIFIED:20211201T210229Z
UID:69672-1638367200-1638370800@c2smart.engineering.nyu.edu
SUMMARY:Introduction to Cybersecurity and Its Application in Transportation
DESCRIPTION:The Introduction to Cybersecurity and its application in Transportation will help you to discover essential knowledge\, skills\, key elements and topics in cybersecurity. We will briefly discuss the history of security analysis of modern automobiles and the need for cybersecurity including typical threats and potential solutions.
URL:https://c2smart.engineering.nyu.edu/event/introduction-to-cybersecurity-and-its-application-in-transportation/
CATEGORIES:Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211130T110000
DTEND;TZID=America/New_York:20211130T170000
DTSTAMP:20260406T141102
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:20260406T141102
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:20211119T143000
DTEND;TZID=America/New_York:20211119T153000
DTSTAMP:20260406T141102
CREATED:20211112T155047Z
LAST-MODIFIED:20211112T155047Z
UID:69713-1637332200-1637335800@c2smart.engineering.nyu.edu
SUMMARY:Transportation Engineering Minor Social Hour and Info Session
DESCRIPTION:Join our Transportation Engineering Minor Social Hour and Info Session with current and prospective transportation minor students. It’s a chance for current students to get to know their peers\, for interested students to learn more about the minor\, and to address any questions they might have about job/internship opportunities\, course requirements\, grad school\, research\, student activities\, and more.
URL:https://c2smart.engineering.nyu.edu/event/transportation-engineering-minor-social-hour-and-info-session/
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211119T120000
DTEND;TZID=America/New_York:20211119T130000
DTSTAMP:20260406T141102
CREATED:20211112T173747Z
LAST-MODIFIED:20211112T173813Z
UID:70131-1637323200-1637326800@c2smart.engineering.nyu.edu
SUMMARY:Info-Session: C2SMART Center 2022 Funding for Student Research Projects and Initiatives
DESCRIPTION:Have an idea for a startup\, research project\, or other academic program?\nThis information session will walk students and faculty mentors through the different opportunities for funding available through the C2SMART Center’s annual call for proposals. \nThis year\, the C2SMART Center is seeking to expand its platform for providing student opportunities\, particularly for students belonging to under-represented groups. We are widening our student-led research focus to include flexible\, agile funding for student-driven projects\, entrepreneurship\, and events. To that end\, C2SMART is calling for proposals opening a sub-RFP exclusively led by graduate students to Masters and PhD students looking to: \n• launch or expand a graduate research project related to the student’s area of research\,\n• incubate an idea or innovation towards a commercial or nonprofit enterprise\,\n• develop mentorship or programming for K-12 or undergraduate students\, and\n• pre-professional networking activities such as panels events or roundtable discussions that will be made available to other students throughout the consortium. \nSuccessful proposals should identify a faculty mentor from the C2SMART consortium to work under.
URL:https://c2smart.engineering.nyu.edu/event/info-session-c2smart-center-2022-funding-for-student-research-projects-and-initiatives/
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211118T120000
DTEND;TZID=America/New_York:20211118T130000
DTSTAMP:20260406T141102
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:20260406T141102
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:20211116T160000
DTSTAMP:20260406T141102
CREATED:20211105T160147Z
LAST-MODIFIED:20211117T190826Z
UID:69667-1637074800-1637078400@c2smart.engineering.nyu.edu
SUMMARY:Natural language processing methods for textual similarity using Python
DESCRIPTION:In this session\, you will learn the basics of text representation in natural language processing (NLP) and various state-of-the-art NLP techniques for (semantic) textual similarity tasks. We will walk through data preparation and processing steps with language modeling tools in Python (e.g.\, Doc2Vec\, Sentence-BERT) for computing text/document similarity and discuss several practical applications of such NLP techniques in transportation related downstream tasks. \nClick Here to View Video Recording
URL:https://c2smart.engineering.nyu.edu/event/natural-language-processing-methods-for-textual-similarity-using-python/
CATEGORIES: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:20260406T141102
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:20260406T141102
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:20260406T141102
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:20260406T141102
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:20260406T141102
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:20260406T141102
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:20260406T141102
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=America/New_York:20211016T103000
DTEND;TZID=America/New_York:20211016T150000
DTSTAMP:20260406T141102
CREATED:20211015T152239Z
LAST-MODIFIED:20211015T152239Z
UID:69107-1634380200-1634396400@c2smart.engineering.nyu.edu
SUMMARY:Transportation Camp NYC 2021
DESCRIPTION:TransportationCamp is an unconference – every session is planned\, proposed\, and led by attendees like you. It’s the perfect opportunity to share your transportation passion with a diverse gathering of fellow enthusiasts. TransportationCamp welcomes all attendees\, whether you’re a planner\, software developer\, engineer\, student\, transportation professional\, community member\, policy maker\, or just excited about mobility! TransportationCamp is an opportunity for professionals\, students\, and enthusiasts of urban transportation and technology get together to discuss the most diverse ideas. The unconference format of the event makes it easy for like-minded people to shape the best experience\, \nOnce you get your ticket\, keep an eye out for our emails with further information and links for the exclusive TransportationCamp NYC 2021 Slack workspace and Zoom information for the sessions. You can find the main event schedule below. \n2021 Main Event Tentative Schedule\nEastern Daylight Time (EDT) in US \n10:30AM EDT Welcome and Kick Off\n11:00AM EDT Session 1\n12:00PM EDT Session 2\n1:00PM EDT Lunch & Keynote Talk by Chris Pangilinan – Head of Global Policy\, Public Transportation\, Uber\n2:00PM EDT Session 3\n3:00PM EDT Session 4 \nFirst Time at a TransportationCamp?\n\nHow To TransportationCamp: The folks at MobilityLab have taken the time to put together a TransportationCamp 101 guide that explains all aspects of the event.\nParticipation Encouraged: Sessions are formed as the day goes on\, so be sure to come with topics for discussion. If you have an idea\, feel free to share and add your thoughts.\nRule of Two Clicks: Never hesitate to leave a session if you suddenly find it’s not for you\, or if there’s another session that you want to check out\, too!\nNew! Scholarship Essay Opportunity! Check here for more details.
URL:https://c2smart.engineering.nyu.edu/event/transportation-camp-nyc-2021/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Conferences
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210929T120000
DTEND;TZID=UTC:20210929T130000
DTSTAMP:20260406T141102
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:20260406T141102
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
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