Research Reports

Improving intersection safety through variable speed limits for connected vehicles

Principal Investigator:

Michael Levin, Rongsheng Chen, Chen-Fu Liao, Tab Zhang

May 2019

Report no. CTS 19-12

Projects: Improving intersection safety through variable speed limits for connected vehicles

Topics: Connected and automated vehicles, Intelligent vehicles, Safety

Autonomous vehicles create new opportunities for innovative intelligent traffic systems. Variable speed limits, which is a speed management systems that can adjust the speed limit according to traffic condition or predefined speed control algorithm on different road segments, can be better implemented with the cooperation of autonomous vehicles. These compliant vehicles can automatically follow speed limits. However, non-compliant vehicles will attempt to pass the moving bottleneck created by the compliant vehicle. This project builds a multi-class cell transmission model to represent the relation between traffic flow parameters. This model can calculate flows of both compliant and non-compliant vehicles. An algorithm is proposed to calculate variable speed limits for each cell of the cell transmission model. This control algorithm is designed to reduce the stop-and-go behavior of vehicles at traffic signals. Simulation is used to test the effects of VSLs on an example network. The result shows that VSL is effective at reducing the energy consumption of the whole system and reduce the likelihood of crash occurrence.

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