Traffic Signal Timing Optimisation for Several Intersections in High-Priority Congested Networks Improved on Genetic Algorithm-Reference-Cited by-同舟云学术

Traffic Signal Timing Optimisation for Several Intersections in High-Priority Congested Networks Improved on Genetic Algorithm

Published:2022-06-15 Issue:1 Volume:12 Page:1-14
ISSN:1947-9344
Container-title:International Journal of Organizational and Collective Intelligence
language:ng
Short-container-title:

Author:

Chaima Kouidri¹,Rochdi Bachir Bouiadjra²,Faiza Mahi³

Affiliation:

1. Computer Science Department, Faculty of Exact Sciences, University Mustapha Stambouli Mascara, Algeria

2. Computer science department, Faculty of exact sciences, University Mustapha Stambouli Mascara, Algeria and Laboratory of Research in Industrial Computing and Networks, University Ahmed Benbella Oran 1, Algeria

3. Computer science department, Faculty of exact sciences, Laboratory of Quantum Physics and Mathematical Modeling (LPQ3M), University Mustapha Stambouli Mascara, Algeria

Abstract

Nowadays, getting around has become an essential aspect of everyday life, whether it be public transport or personal vehicles, the vast network formed by these means of transport is immensely complex to manage. Unfortunately, this activity presents serious problems in most cities around the world. In this paper we upgrade traffic capacity of intersections using Genetic algorithm in order to decrease traffic congestion and crossing time of a road network. The main focus of this study is on improving the quality of solutions for the traffic light optimization problem. This proposition calculated and simulated through programming. As it shows, It improve results for solving the cycle traffic light problem (CTLP).

Publisher

IGI Global

Subject

General Chemical Engineering

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