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机构地区:[1]浙江工业大学计算机科学与技术学院,浙江杭州310023
出 处:《浙江工业大学学报》2017年第6期591-596,共6页Journal of Zhejiang University of Technology
基 金:国家自然科学基金资助项目(61174174);浙江省科技厅公益技术研究工业项目(2015C31059);浙江省交通运输厅科研计划项目(2014T08)
摘 要:过饱和状态下城市路网的控制子区划分是实施高效信号控制的必要基础.根据城市路网过饱和状态下交通流的特点,结合路口饱和度和车辆排队情况,提出了一种路口过饱和状态识别方法,并进一步将过饱和路口划分为三个不同的拥堵等级.在引入路段车辆容量比和路段交通需求影响度的基础上,采用模糊控制算法对相邻路口关联度大小进行计算.基于路口拥堵等级划分与相邻路口关联度提出一种子区分级动态划分策略,并给出一个完整的动态子区划分流程,最后通过算例说明了该控制子区划分方法的可行性.The division of subarea is a vital base for implementing the control of traffic signal efficiently under oversaturated state. Based on the features of the oversaturated traffic flow, combining traffic saturation of intersection and the vehicle queue length, this paper proposed a method to recognize the oversaturated state of single intersection, and these oversaturatedintersections are divided into three different congestion levels. By introducing the road traffic capacity and road traffic demand impact, the fuzzy control algorithm is used to , calculate the correlation of adjacent intersections. Based on three different congestion levels and the correlation of adjacent intersections , this paper proposed a dynamic division strategy and put out a complete dynamic subarea division process. Finally , the feasibility of the subarea division method isillustrated by an example.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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