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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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…

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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…

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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…

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Hani Nassif, Installation of a Smart Roadway Testbed in Brooklyn, NY to Measure the Impact of Overweight Trucks on Critical Infrastructure

Hani Nassif, Installation of a Smart Roadway Testbed in Brooklyn, NY to Measure the Impact of Overweight Trucks on Critical Infrastructure C2SMART Center researchers worked with the New York City Department of Transportation (NYCDOT) to establish and implement a new smart roadway testbed along a cantilevered section of the Brooklyn-Queens Expressway (Interstate 278) in Brooklyn,…

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Xuegang (Jeff) Ban, Traffic Signal Optimization and Coordination in Connected Cities

Xuegang (Jeff) Ban, Traffic Signal Optimization and Coordination in Connected Cities Connected vehicles in smart cities, including vehicle to vehicle (V2V), vehicle to infrastructure (V2I), and vehicle to anything (V2X) communications, can provide more opportunities and impose more challenges for urban traffic signal control. This project webinar explored the basic research on developing signal control…

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Hai Wang, Ride-sourcing Systems & Multi-objective Online Ride-Matching

Hai Wang, Ride-sourcing Systems & Multi-objective Online Ride-Matching This talk proposed a general framework to study the on-demand shared ride- sourcing transportation systems and summarized the relevant research problems in four areas, namely, demand, supply, platform operation, and system problems. The problem of online matching in the ride-sourcing systems was the main focus of this…

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Christian Claudel, Robust Control of Traffic Flow on Networks using Chance Constrained Optimization

Christian Claudel, Robust Control of Traffic Flow on Networks using Chance Constrained Optimization Traffic control on networks is one of the most cost-effective and scalable solutions to worsening urban traffic congestion. This talk discussed a novel formulation of robust network traffic control involving a first order traffic flow model, with initial condition, model parameter and…

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