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单点交叉口信号实时配时模型及蚂蚁算法
引用本文:颜艳霞,李文权.单点交叉口信号实时配时模型及蚂蚁算法[J].公路交通科技,2006,23(11):116-119,125.
作者姓名:颜艳霞  李文权
作者单位:东南大学,交通学院,江苏,南京,210096
基金项目:国家自然科学基金资助项目(50478071)
摘    要: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。

关 键 词:单点信号配时  通行能力  实时模型  蚂蚁算法
文章编号:1002-0268(2006)11-0116-04
收稿时间:2005-08-18
修稿时间:2005-08-18

Ant Colony Optimization for Signalized Intersection
YAN Yan-xia,LI Wen-quan.Ant Colony Optimization for Signalized Intersection[J].Journal of Highway and Transportation Research and Development,2006,23(11):116-119,125.
Authors:YAN Yan-xia  LI Wen-quan
Institution:Transportation College, Southeast University, Jiangsu Nanjing 210096, China
Abstract: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.
Keywords:signal timing  expressway capacity  real-time model  ant algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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