The Optimization of Traffic Signal Light using Genetic Algorithms coupled with a Simulation Tool (SUMO)

摘要：

Maintaining a good Car Traffic system is a priority of the government. This paper presents a way for improving such kind of systems in crossroads, based on the use of Genetic Algorithm to optimize Traffic Light cycles characteristics. However, it is not easy to define an objective function as a mathematical expression; thus the use of the SUMO freeware can provide us traffic simulation in order to determine an objective function of a given traffic cycle. We define this function (referred to as fitness function) as being the mean traveling time spent by the cars in the crossroad. Our algorithm gave us an improvement up to 20% in the cases we tried and has proven to be even more efficient for great traffic densities.

关键词： Genetic algorithm Traffic light Improve traffic simulation SUMO Crossroad management

作者: Thuong, Jean-Francois Wang Jintao

作者单位: Management Science Department Shanghai Jiaotong University Shanghai, China

会议类型: 国际会议

会议名称: 2007 Conference on Systems Science, Management Science and System Dynamics(第二届系统科学、管理科学与系统动力学国际会议)

会议地点: 上海

会议语种:英文

页码: 2087-2094

在线出版日期: 2007-10-19（万方平台首次上网日期，不代表论文的发表时间）