Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic

Abstract

The impact of distributed dynamic routing with different market penetration rates (MPRs) of connected autonomous vehicles (CAVs) and congestion levels has been investigated on urban streets. Downtown Toronto network is studied in an agent-based traffic simulation. The higher the MPRs of CAVs–especially in the case of highly congested urban networks–the higher the average speed, the lower the mean travel time, and the higher the throughput.