INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A Review of Traffic Light Control System with Reinforcement Learning
Authors Name:
Om Rachalwar
, Prof. Rahul Suryawanshi , Abhit Hedaoo , Ankit Thakur , Tanmay Rane
Unique Id:
IJSDR2301086
Published In:
Volume 8 Issue 1, January-2023
Abstract:
There are many different traffic congestion issues as a result of the vehicle revolution. Largescale traffic makes it impossible for people to reach their destination on time. The method used to coordinate traffic is independent of how an intersection is currently functioning. The traffic created at the junctions of multiple streets is frequently monitored and controlled by traffic light control systems with pre-set timings. However, considering the different elements involved, synchronization of several traffic signal systems at nearby junctions is a challenge. Increasing the number of roads is one option, while another is installing an intelligent adaptive traffic control system. This study describes a Traffic Light Control System that automatically adjusts signal strength based on traffic density by employing Artificial Intelligence to manage traffic. In this system, the Reinforcement Learning algorithm was used to determine optimal traffic light configuration and using Deep Neural Networks the obtained results were used to extract the features required to make a decision. This project presents a Reinforcement Learning approach to traffic lights control, coupled with an agent-based simulator (Simulation of Urban MObility - SUMO) providing a baseline simulation for the model.
Keywords:
Traffic Light Control System, Artificial Intelligence, Reinforcement Learning, Deep Neural Network, SUMO, Simulation.
Cite Article:
"A Review of Traffic Light Control System with Reinforcement Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 1, page no.517 - 523, January-2023, Available :http://www.ijsdr.org/papers/IJSDR2301086.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR2301086
Registration ID:203056
Published In: Volume 8 Issue 1, January-2023
DOI (Digital Object Identifier):
Page No: 517 - 523
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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