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…
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…
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…
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,…
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…
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…
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…
Lily Elefteriadou, Optimizing Traffic Signal Control with Connected and Autonomous Vehicles in the Traffic Stream The presentation discussed the on-going work to develop optimization algorithms, simulation tools, and sensor capabilities for enhancing traffic signal control operations when the traffic stream consists of connected vehicles, autonomous vehicles, and conventional vehicles. The presentation also discussed algorithms…
Yacine Ghamri-Doudane, Mobile Crowd Sensing (MCS) – a First Step Towards Building Collective Intelligence This presentation focused on the discussion of the concept of “crowd sensing”, as an approach to collect data from embedded sensors in smartphones. Its positioning as a first, inexpensive, step for the building of a collective intelligence makes it a tool…
Gonçalo H. A. Correia, Shared on-demand automated vehicles for first/last mile transit and beyond In this presentation Gonçal talked about recent developments from TU Delft research about the usage of automated vehicles as part of public transport networks. The research objectives, methods and results were discussed in a critical perspective with the main goal of…