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Published on 1 August 2023
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Gordon,M.R. (2023). Review on Traffic Light Control Systems Based on Single-Chip Microcomputers and Smart Traffic Light Control Systems. Applied and Computational Engineering,8,213-221.
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Review on Traffic Light Control Systems Based on Single-Chip Microcomputers and Smart Traffic Light Control Systems

Matthew Robert Gordon *,1,
  • 1 No.2 High School of East China University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/8/20230131

Abstract

With the development of the economy and the improvement of living standards, the number of private cars is increasing, which brings about traffic congestion and increased traffic safety hazards. Although some cities have widened some urban roads, traffic congestion and traffic safety hazards have not been effectively alleviated, and the speed of road construction and urban construction is far from meeting the needs of citizens. Therefore, traffic congestion is the primary problem that needs to be solved at present. This paper introduces single-chip microcomputers with their functions and applications as well as designs for traffic light control systems based on microcomputers. By comparing previous research designs and models, this paper points out the comparisons between different models and provides research suggestions and future prospects.

Keywords

traffic light, single-chip microcomputers, intelligent transportation

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Cite this article

Gordon,M.R. (2023). Review on Traffic Light Control Systems Based on Single-Chip Microcomputers and Smart Traffic Light Control Systems. Applied and Computational Engineering,8,213-221.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Software Engineering and Machine Learning

Conference website: http://www.confseml.org
ISBN:978-1-915371-63-8(Print) / 978-1-915371-64-5(Online)
Conference date: 19 April 2023
Editor:Anil Fernando, Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.8
ISSN:2755-2721(Print) / 2755-273X(Online)

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