Developing Resilient Mechanisms to Cyber Security Threats in CAVs

Quanyan Zhu, Rae Zimmerman, Secure Strategies for Vehicular Ad Hoc Networks in CAV A Vehicular Ad hoc Network (VANET) is a recent innovation in information and communication technologies to allow communications among vehicles and enable a connected and autonomous transportation system. However, its security and resilience are of serious concern. This talk aims to give…

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COVID-19 Transportation Data Dashboard and White Papers

COVID-19 Transportation Data Dashboard and White Paper Issue 3 The COVID-19 pandemic and ensuing social distancing orders have had dramatic impacts on the use of every mode of transportation. C2SMART researchers have developed an interactive data dashboard that investigates changes in mobility patterns and travel trends as the crisis evolves. Through this dashboard, policymakers and researchers can…

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Using Queuing Models to Design CATS

Li Jin, Using Queuing Models to Design Connected and Autonomous Transportation Systems In this webinar, Professor Li Jin discusses a class of design problems related to connected and autonomous transportation systems (CATS) using queuing models. Classical queuing models have been extensively used for conventional transportation systems. However, their application in CATS has not been well…

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NYU ITE Student Chapter Wins Top Prizes

NYU ITE Student Chapter Wins Top Prizes The NYU Institute of Transportation Engineers (ITE) student chapter received both the inaugural ITE Student Chapter Momentum Award and the 2019 ITE Student Chapter Award,  selected out of over 150 student chapters worldwide.The NYU ITE Student Chapter was declared the winner along the following core criteria: Chapter Administration…

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C2SMART Congratulates 2020 Graduates!

C2SMART faculty and staff proudly recognize the following graduates. These students were not only crucial to day-to-day research activities at C2SMART, they also contributed in myriad ways to a sense of levity, innovation, and mission, making C2SMART a wonderful place to work, learn, teach and conduct research. C2SMART is collectively grateful for their efforts on…

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Collective Behavior over Social Networks

Yan Leng, Collective Behavior over Social Networks Social networks are ubiquitous and shape individual behaviors; yet, behavioral data over networks are complex and stretch the limit of conventional analysis and models. In this talk, Dr. Leng presented two complementary projects that extend existing prediction and inference methods over social networks. First, she investigated how social…

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Open Source Multi-Agent Virtual Simulation Test Bed in NYC

Joseph Chow, Yueshuai Brian He, Open Source Multi-Agent Virtual Simulation Test Bed in NYC C2SMART researchers at NYU developed a virtual testbed for NYC using large-scale transportation simulation models built with the MATSim and SUMO open-source simulation platforms. In addition to the development of the integrated and open simulation platform, several algorithms and novel approaches…

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C2SMART/NYU Establishes Multi-year Agreement with NYSDOT

C2SMART/NYU Establishes Multi-year Agreement with the NYSDOT C2SMART/NYU established a multi-year agreement with the New York State Department of Transportation (NYSDOT) to provide on-call research services in support of the Department’s goals. C2SMART was selected based on its USDOT UTC designation and due to its research portfolio and outputs being aligned with NYSDOT needs. Broadly,…

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Link Criticality Index for Analysis of Large Transportation Networks

Anil Yazici, Link Criticality Index (LCI) for Analysis of Large Transportation Networks Designing and maintaining resilient and robust transportation systems requires identification of links that are critical for the functionality of the network. Traditional traffic simulations techniques create a large computational burden, especially for larger traffic networks. This talk presented the recently developed Link Criticality…

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