May 27, 2024
Mehdi Khazaei

Mehdi Khazaei

Academic rank: Assistant professor
Address: Kermanshah University of Technology, School of Information Technology
Education: Ph.D in Computer Engineering- Computer architecture
Phone: 08338305041
Faculty: Faculty of Information Technology

Research

Title
A Learner Method to Schedule the Traffic Signals
Type Presentation
Keywords
Reinforcement learning, Scheduling, Traffic signals
Researchers Mehdi Khazaei

Abstract

Traffic is a complex problem and many approaches are suggested to control it. The most famous way to control the traffic is traffic lights scheduling. Traffic lights scheduling is usually done by person base on trial and error.But moving towards intelligence is inevitable. For this purpose, we offer an auto intelligent method based on reinforcement learning. In this article, an intersection is considered as an agent with the learning ability. Therefore, the multi-agent environment is all intersections. The traffic can be controlled through collaboration between the agents. The agents use reinforcement learning to offer an efficient timing for traffic signals. The proposed method is not depended on predetermined rules and, learning is done by the history of the components of the network.