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信号交叉口周期时长区间决策模型 被引量:3

Interval Decision Making Model of Cycle Length at Signal Intersection
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摘要 为缓解未饱和状态下交通流不确定性对交通信号控制方案实施效果的影响,针对单交叉路口定时控制信号周期时长优化问题,通过分析比较交通流不确定性、周期时长设计、控制实施效果三者之间的相互影响程度,依据区间数多属性决策评价方法,在属性权重完全未知、属性值为区间数且对方案无偏好的情形下,提出了基于相离度和可能度的交叉口信号周期时长多属性决策模型,最后运用VISSIM仿真软件对北京市某相交路口晚高峰时段进行模拟分析.结果表明:该周期时长区间决策方法可行有效,且当该交叉口交通流量比介于[0.804,0.909]时,机动车平均延误、交叉口通行能力分别较Webster方法优化了17.4%与6%. In order to relieve the impact of the uncertainty of traffic flow on the actualization of signal control scheme under a unsaturated condition, this paper initially proposes a new optimization model of cycle length for sin- gle intersection by using the timed control. Secondly, through the analysis and comparison of the degree of mutual influence of the uncertainty of traffic flow, design of cycle length and effectiveness of control plan, the interval number muhiple attribute decision model of signal cycle length at intersection is proposed on the basis of deviation and possibility degrees of interval number when attribute weights are completely unknown, attribute values are inter val numbers, and the method shows no preference. Finally, the intersection in Beijing is simulated for analysis by using VISSIM simulation software. The results show that when the traffic flow ratio is between 0. 804 and 0. 909, the vehicle average delay decreases by 17.4% and capacity increases by 6%, compared with the Webster method. The method is feasible and effective.
作者 陈小红 张协奎 陈诗淼 CHEN Xiaohong;ZHANG Xiekui;CHEN Shimiao(College of Civil Engineering and Architecture,Guangxi University,Nanning 530004,Guangxi,China;School of Mathematics and hformation Science,Guangxi University,Nanning 530004,Guangxi,China)
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2018年第4期44-50,共7页 Journal of South China University of Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(71571054) 中国博士后科学基金资助项目(2015M572416) 广西高校科学研究基金资助项目(KY2015YB010)~~
关键词 城市交通 周期时长 区间数多属性决策 信号交叉口 不确定性 urban traffic cycle length interval number muliple attribute decision making signal intersection uncertainty
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