Survey on traffic flow prediction for intelligent transportation system using machine learning
1 Associate professor, Department of Computer Science and Engineering, ACE Engineering College, Hyderabad, Telangana, India.
2 IV B. Tech Students, Department of Computer Science and Engineering, ACE Engineering College, Hyderabad, Telangana, India.
Review Article
World Journal of Advanced Research and Reviews, 2023, 17(02), 460–463
Article DOI: 10.30574/wjarr.2023.17.2.0244
Publication history:
Received on 26 December 2022; revised on 09 February 2023; accepted on 11 February 2023
Abstract:
Controlling traffic has been a problem in the past for a very long time. The technological age demands it. Nowadays, one of the primary means of technological advancement is the automobile. Intelligent Transportation Systems, also referred to as Intelligent Traffic Systems, use communication and information technology to address traffic control issues. The primary issue in transportation is the intelligent transportation system. A programme is ITS. By utilising sensors and connectivity, it is used to increase the effectiveness of transportation through sophisticated technologies. Through the use of the most recent traffic management systems, several issues, such as traffic congestion and low safety, can be resolved. The use of information, control, and electronic technologies that are based on wireless and wired communication enhances ITS.
Keywords:
TFP; Traffic Congestion; Datasets; Deep learning
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0