A Multiscale Simulation Platform for Connected and Automated Transportation Systems

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A Multiscale Simulation Platform for Connected and Automated Transportation Systems Overview Traffic simulation is an important tool that can assist researchers, analysts, and policymakers to test vehicle/traffic control algorithms, gain insights of micro/macro traffic dynamics, and design traffic management strategies. However, different implementations require different simulation scales and there is no multiscale simulation platform that…

Modeling and Optimizing Ridesourcing Services in Connected and Automated Cities

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Modeling and Optimizing Ridesourcing Services in Connected and Automated Cities Background With the wide spread of smart phone users, ridesourcing companies have made remarkable progress on serving urban travel demands by real time matching of drivers and customers. In New York City, for example, ridesourcing served 4.2 billion trips in 2018, up from about 2…

MATSim bus network visualization

Vehicle-Traffic Control with Limited Capacity CAVs

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Research and Field-Testing of Vehicle-Traffic Control with Limited-Capacity Connected/Autonomous Vehicles Overview Connected and automated vehicles (CAVs) are believed to have great promise for the future of urban traffic control, and much research has been conducted in the past decade on the possibilities CAVs present for improving traffic flow in cities. However, the primary focus has…

Integrative Vehicle-Traffic Control in Connected/Automated Cities

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Integrative Vehicle-Traffic Control in Connected/Automated Cities Overview The Importance of Integrative Vehicle-Traffic Control In the United States, gasoline consumption by the transportation sector in 2016 was about 143.37 billion gallons, a daily average of about 9.33 million barrels. At the same time, traffic congestion on urban roads causes extra fuel consumption as well as additional…