单点交叉口信号实时配时模型及蚂蚁算法

Ant Colony Optimization for Signalized Intersection

以延误时间、停车次数和通行能力作为性能指标,各性能指标的加权系数随交通需求的不同而变化,提出交叉口实时配时,采用一种新型随机搜索思想———蚂蚁优化算法来求解此模型的非线形问题。仿真试验表明,所得结果优于经典方法,降低了交叉口的总延误时间和停车次数,提高了通行能力。

Analysis of a timing optimization model is presented based on the performance indexes with coefficient varying with different capacity as well as delay, stop times and traffic capacity. A new stochastic searching strategy, which is ant colony optimization algorithm,is used to solve the nonlinear problem. Simulation experiments show that the results can be better than that ~ classical methods, and can reduce total delay and stops and improve traffic capacity at intersections.