The optimization algorithms and evaluation methods of intersection traffic organization

Xupeng Zhang; Yuhan Zhu

doi:10.1117/12.2639460

17 May 2022 The optimization algorithms and evaluation methods of intersection traffic organization

Xupeng Zhang, Yuhan Zhu

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122595S (2022) https://doi.org/10.1117/12.2639460
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

The increase in traffic volume in cities has a significant impact on road traffic congestion. Effective vehicle flow regulation at intersections has always been a critical issue in the traffic control system. Over the past several decades, many optimization algorithms have been developed and used for intersection traffic organization. The aim of this work is to provide the research community with comprehensive overview of the intersection traffic problems. First, multi-objective optimization problem and genetic algorithm, especially the nondominated sorting genetic algorithm (NSGA), are summarized. Then recent advances in optimization design are further described, including signal light and lane optimization. Next evaluation methods, VISSIM simulation and HAD model, are clearly analyzed. Finally, the main challenges in the intersection traffic organization are addressed.

Citation Download Citation

Xupeng Zhang and Yuhan Zhu "The optimization algorithms and evaluation methods of intersection traffic organization", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122595S (17 May 2022); https://doi.org/10.1117/12.2639460

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