An adaptive traffic signal control system based on PPO-LSTM reinforcement learning for urban intersections
Traffic congestion at signalized intersections leads to significant delays, increased fuel consumption, and elevated emissions, motivating adaptive control strategies that can respond to time-varying traffic conditions. This paper presents an adaptive traffic signal control framework based on deep reinforcement learnin...