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城市单点交叉口信号配时优化 预览 被引量:87

Signal timing optimization of urban single-point intersections
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摘要 为了缓解城市交通拥挤,分析了城市单点交叉口交通流特性与通行能力,建立以平均延误时间最短、平均停车次数最少为目标,以相位有效绿灯时间、饱和度及周期时长为约束条件的城市单点交叉口信号配时优化非线性函数模型,用遗传算法及遗传模拟退火算法对其进行求解。求解结果表明,遗传算法及遗传模拟退火算法均可将平均延误由现状的40.394s优化至10^-3,减少了平均停车次数,获得较为理想的效益值,将各交叉口服务水平由C级提升到A级。 In order to mitigate city traffic jam, the traffic flow characteristics and capabilities of urban intersections were analyzed, a nonlinear function model of urban single-point intersections was put forward, in which shortest average delay and stopping time were taken as objectives, and phase effective green time, saturation degree and cycle time length were taken as restrictions, the objective function of the model was solved by genetic algorithm and genetic simulated annealing algorithm. Solved result indicates that average delay is optimized from present 40. 394 s to 10^-3 s by genetic algorithm and genetic simulated annealing algorithm, the average stopping time is reduced and the good benefit value of the function is obtained, the intersection service level is improved from level C to level A. 7 tabs, 6 figs, 8 refs.
作者 王秋平 谭学龙 张生瑞 Wang Qiu-ping , Tan Xue-long , Zhang Sheng rui (1. School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China; 2. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China)
出处 《交通运输工程学报》 EI CSCD 北大核心 2006年第2期 60-64,共5页 Journal of Traffic and Transportation Engineering
基金 陕西省教育厅专项基金项目(03JK149) 国家自然科学基金项目(50578009)
关键词 交通控制 单点交叉口 信号配时优化 非线性函数模型 遗传模拟退火算法 traffic control single point intersection signal timing optimization nonlinear function model genetic simulated annealing algorithm
作者简介 王秋平(1962-),女,陕西城固人,西安建筑科技大学教授,长安大学工学博士研究生,从事交通运输规划与管理研究。86-29-82205572, wqp1168@sina. com.
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