Resolution strategies for cooperative vehicle fleets for reducing rear-end collision risks near recurrent freeway bottlenecks

Abstract

Advanced cooperative vehicle fleet technology has shown potential for improving safety and efficiency near freeway bottlenecks. This study focuses on resolution strategies for cooperative vehicle fleets for reducing rear-end collision risks near recurrent bottlenecks. Based on different vehicle types and time requirements and intentions, different resolution strategies are proposed to determine the travel rules and sequence of vehicle flows when a cooperative vehicle fleet needs to change its original fixed formation. Then, a series of experimental scenarios is designed by setting different vehicle types (conventional vehicles and connected and automated vehicles), requirements and intentions in different areas of multilane freeways. The experimental scenarios are simulated based on the MATLAB platform to test the proposed strategy. The results show that the proposed strategy can effectively reduce vehicle rear-end collisions, and the average cost savings of the conflict resolution process is 25.71%. The proposed strategies in this research provide autonomous resolutions for vehicle conflicts in different scenarios.