Investigating the Impact of Connected and Automated Vehicles on Signalized and Unsignalized Intersections Safety in Mixed Traffic

Road traffic crashes are a major safety problem, with one of the leading factors in being human error. Automated and connected vehicles (CAVs) that equipped Advanced Driver Assistance Systems (ADAS) expected to reduce In this paper, Simulation Urban MObility (SUMO) simulator is used investigate how CAVs impact road safety. order define longitudinal behavior Human Drive Vehicles (HDVs) CAVs, car-following models, including Krauss, Intelligent Model (IDM), Cooperative Adaptive Cruise Control (CACC) models were simulate CAVs. Surrogate measures utilized analyze CAVs’ using time-to-collision. Two case studies evaluated: signalized grid network included nine intersections, second consisting an unsignalized intersection. The results demonstrate could potentially number conflicts based on each car following model simulations two studies. A secondary finding research identified additional benefits collision avoidance control, through reduction rear-end observed for CACC model.