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机构地区:[1]浙江大学工业控制技术国家重点实验室,杭州310027
出 处:《控制与决策》2013年第12期1907-1911,共5页Control and Decision
基 金:国家自然科学基金项目(61174174);浙江科技计划项目(2012C21071);浙江自然科学基金项目(Y1090208)
摘 要:针对主干道信号协调控制问题,提出一种新的动态分段协调控制技术.首先分析路段长度、交通密度以及信号周期时间对关联度的影响,设计了基于分层结构的关联度模糊计算方法和基于关联度的控制子区划分方法;然后提出一种子区协调控制算法,根据一段时间内交通流信息计算子区公共信号周期、上下行相位差和各路口的绿信比.实际应用表明,该控制技术能有效降低主干道交通流平均旅行时间和平均停车率,效果令人满意.Aiming at the problem of the signal coordination control in trunk road, a novel dynamic subsection coordination control technique is proposed. Firstly, the influences of the intersection distance, the traffic density and the cycle time on the correlation degree between two neighboring intersections are analysed. The fuzzy computing method of correlation degree based on hierarchical structure and the division method of control subarea based on correlation degree are designed. Then the subarea coordination control algorithm is also designed by which the public cycle time of control subarea, up-run offset and down-run offset of section, and split of each intersection are obtained. The actual application shows that the proposed technique can decrease the average travel time and average stop rate effectively, and the application result is very satisfied.
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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