A hybrid algorithm based on GWO and GOA for cycle traffic light timing optimization

Tzu Chi Teng, Ming Chao Chiang, Chu Sing Yang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Since the number of vehicles on the road has been dramatically increased, how to find out a 'good solution' to improve the traffic situation is a difficult optimization problem even if there is still plenty of room for improvement. The main focus of this study is on improving the quality of solutions for the traffic light optimization problem to minimize the waiting time of all the vehicles and maximize the number of vehicles arriving at the destination within a certain time period. An effective hybrid metaheuristic algorithm, called grey wolf grasshopper hybrid algorithm (GWGHA), that leverages the strength of grey wolf optimizer and grasshopper optimization algorithm will be presented in this paper to find a better result in solving the cycle traffic light problem (CTLP). The solutions obtained are simulated with a well-known microscopic traffic simulator named Simulation of Urban MObility (SUMO). Experiments were carried out based on data from Kaohsiung, Taiwan, Bahia Blanca, Argentina, and Ma laga, Spain that represent different experimental cases to evaluate the performance of GWGHA. The simulation results show that the proposed algorithm is superior to the state-of-the-art search algorithms compared in this paper for solving the CTLP.

原文English
主出版物標題2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面774-779
頁數6
ISBN(電子)9781728145693
DOIs
出版狀態Published - 2019 十月
事件2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy
持續時間: 2019 十月 62019 十月 9

出版系列

名字Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
2019-October
ISSN(列印)1062-922X

Conference

Conference2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
國家Italy
城市Bari
期間19-10-0619-10-09

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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