traffic

Some field studies have observed reductions in travel time by coordinating freeway ramps with adjacent arterial signals. To advance the investigation, the researchers propose an integrated traffic management strategy that involves variable speed limit, lane change, ramp metering for freeway traffic flow control, and a traffic-responsive signal control scheme for adjacent traffic light intersections.

To validate their approach, the authors construct test cases based on the New York City taxicab dataset.

This data stems from a project in which researchers used a microscopic road traffic model with local travel activity data to simulate vehicle travel in San Francisco’s downtown central business district to explore traffic flow, VMT, and GHG effects of AV scenarios.

These data stem from a project that developed a powerful and user-friendly web-based version of the Integrated Transport and Health Impact Model tool for the Sacramento Area Council of Governments (SACOG) six county region

This data is from the project, Dynamic Routing for Ridesharing. The data is randomly generated within grids where each unit of the grid represents a 1-mile by 1-mile square. It is used to generate the origins and destinations of passengers.

This dataset is related to a project proposing a low-cost, measurement-based approach for assessing the impacts of sustainable traffic interventions on local air pollution. he chosen testbed location is the City of Riverside Innovation Corridor, a six-mile roadway that services downtown Riverside, the University of California, Riverside, and several businesses and community organizations.

Data for the project Incentive Systems for New Mobility Services, including all the resulting code for offering incentives.