Analyzing the Causes and Solutions of Traffic Congestion

This chapter explores the various factors contributing to traffic congestion, such as infrastructure limitations, human behaviors, and phantom traffic jams caused by driving patterns like poor merging. It discusses using artificial intelligence through deep reinforcement learning to optimize traffic light management and improve traffic flow. The chapter also suggests solutions like promoting carpooling, implementing bilateral control to manage vehicle spacing, and utilizing technology in driver-assisted cars to reduce congestion.