Deep Learning vs. Discrete Reinforcement Learning for Adaptive Traffic Signal Control

The population in cities and demand for transportation continuously increases. Space, financial and environmental constraints do not allow for significant infrastructure expansion. Therefore, optimizing the efficiency of the infrastructure is becoming increasingly important. Wait time at traffic lights is a significant proportion of time spent travelling within cities. Time inefficiency of traffic lights is, therefore, a global concern. …