Multiple Intersection Traffic Control using Reinforcement Learning

Abstract

This paper introduces application of Multi Agent Deep Deterministic Policy Gradients algorithm for multiple traffic intersection problems. The problem of decrease in waiting time at traffic intersections is still unsolved. Reinforcement learning is the recent technique which was introduced in past years. This paper is an attempt to apply Reinforcement Learning for multiple intersections.