Simulation Analysis of the Influence of Automated Vehicles on the Performance of Signalized Intersections

抄録

This research explores the impacts of automated vehicles on the capacity of signalized intersections under various automation degrees and penetration levels of automated vehicles. We perform simulation and analysis of mixed traffic flows, including automated vehicles, cars, trucks, buses, and scooters. The effects are assessed by simulating two representative signalized intersections in Taoyuan, Taiwan, using actual data considering the intersection geometry, the signal control, and the traffic volume. Three metrics, average stopped delay, average queue length, and average travel time were adopted as performance indicators. Our study shows that automated vehicles with the automation degree of AV caution will not positively impact traffic flows, especially in mixed traffic. If exclusive lanes are provided for such a level of AVs, this intersection’s performance would be improved. Introducing automated vehicles with automation degrees of AV Normal and AV Aggressive will positively affect a signalized intersection’s vehicle flows even under mixed traffic flows.