Modeling and simulation of advisory speed and re-routing strategies in connected vehicles systems for crash risk and travel time reduction

Conventional traffic simulator systems do not support Connected Vehicles (CV). The focus of this study is to extend the functionality of a traffic simulator and developing APIs for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. We use the extended simulation system to examine the implementation of advisory speed recommendation and re-routing guidance for urban freeways under various load conditions to recommend the optimum treatments and reduce rear-end and lane-change crash risks where speed differences between upstream and downstream vehicles were high. We use these strategies as a tool for safety improvement on a section of Deerfoot trail, Calgary, Alberta. Results of the experiments demonstrate the overall effectiveness of the approach.