Metaheuristic Techniques in Optimizing Traffic Control Lights: A Systematic Review

Israa Y. AbuShawish, S. Ghunaim, A. B. Nassif, Mohammad Azzeh
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Abstract

Traffic congestion is a serious problem on every roadway and streets in many cities around the world. This systematic review is devoted to analyze research papers that deal with the optimization of traffic signal timing. The main objective of such optimization is maximizing the number of the vehicles leaving the network in a given period of time. This will lead to enhancing the performance of the road system. In this work, we researched the most recent metaheuristic optimized traffic light control techniques. It was shown that integrating optimization techniques in the field of traffic lights control had a great impact on the performance of traffic monitoring. During our research, we found that the most used method was the Genetic Algorithm (GA).
优化交通控制灯的元启发式技术:系统综述
交通拥堵是世界上许多城市道路和街道上的一个严重问题。本文系统地分析了有关交通信号配时优化的研究论文。这种优化的主要目标是在给定时间内使离开网络的车辆数量最大化。这将提高道路系统的性能。在这项工作中,我们研究了最新的元启发式优化交通灯控制技术。研究表明,在交通信号灯控制领域集成优化技术对交通监控的效果有很大的影响。在我们的研究中,我们发现最常用的方法是遗传算法(GA)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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