Assistant Professor Li Jin

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…

2020 Your Vision, Your Future poster

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

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 for on-line calibration, real-time computation, etc. were developed using this new simulation tool. The…

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C2SMART/NYU Establishes Multi-year Agreement with NYSDOT

C2SMART/NYU Establishes Multi-year Agreement with 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, C2SMART…

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…

C2SMART Research on the Effect of COVID-19 on Transportation Systems

Background The outbreak of the novel coronavirus COVID-19 has brought profound changes to almost every aspect of transportation. C2SMART researchers have launched new initiatives to observe how transportation systems are being affected. Current research efforts have focused on: Short-term passenger travel trends in affected cities during the pandemic Long-term changes to mode choice and travel…

Learning to Predict the Effects of Pandemics on Transportation Networks

NYU Students Learn to Predict the Effects of Pandemics on Transportation Networks Using Agent-Based Simulation In a recent class, NYU Tandon graduate students learned how to create an agent-based simulation (ABS) model to predict the effects of pandemics using software called NetLogo, a java-based modeling and simulation tool. ABS models are micro-scale models that simulate…

C2SMART Urban Roadway Testbed in Brooklyn, New York

Overview C2SMART researchers from Rutgers University and NYU designed and constructed a new “smart roadway testbed” along the cantilevered section of the Brooklyn-Queens Expressway (BQE) in Brooklyn, New York.  This new testbed collect real-time data on truck loads using weigh-in-motion (WIM) sensors to measure their impact on the roadway. Due to the ineffectiveness of current…