C2SMART Announces 12 New Research Projects C2SMART has designated funding for 12 new projects that seek to tackle a wide range of issues in transportation, both building on the center’s current work and investigating new challenges in the center’s research areas. With these new projects, NYU professors Anil K. Agrawal, Elizabeth Henaff, Zhong-Ping Jiang, and…
DetailsC2SMART 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…
DetailsC2SMART/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…
DetailsAnil 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…
DetailsBackground 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…
DetailsNYU 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…
DetailsC2SMART’s NYC Urban Roadway Testbed Structural Health Monitoring on the Brooklyn-Queens Expressway The Brooklyn-Queens Expressway (BQE) handles substantial daily traffic, with an annual average daily traffic of more than 153,000 vehicles. The triple cantilever section, which splits the BQE on two cantilevers carrying three levels, has been disproportionately impacted by overweight trucks and environmental conditions.…
DetailsHani 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,…
DetailsXuegang (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…
DetailsHai 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…
Details
