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机构地区:[1]北方工业大学城市道路交通智能控制技术北京市重点实验室,北京100144
出 处:《道路交通与安全》2015年第3期23-28,共6页Road Traffic & Safety
基 金:学科建设-国家特殊需求-城市道路交通智能控制人才培养项目(PXM2013_014212_000031);研究生培养-研究生教育-产学研联合培养研究生基地(市级)项目(PXM2014_014212_000032)
摘 要:提出了一种基于多传感器信息融合的交通路口排队长度检测方法,该系统以无线地磁车辆检测器作为数据检测来源,基于无线传感器网络,构建了一种互联感知的分布式检测系统.系统以多检测节点协同工作的模式,由点到面,实现排队长度等深度路交通流信息获取,为交通信号控制系统提供准确的路网交通流数据.系统基于交通流特性建立数学模型,采用无线地磁车辆检测器及多传感器融合算法实现交通路口各方向排队长度检测.可实现红灯期间实时排队长度检测及绿灯放行期间队首位置判别及实时排队长度检测.通过绿信比优化,均衡各相位绿灯时间的分配,对提高道路通行能力有重要意义.This paper proposes aninnovative method of detecting queue length based on information fusion of multi-sensor. This system uses wireless magnetometer-based vehicle detection and wireless sensor networks as a data source, building an Internet-aware distributed detection system. It can obtain comprehensive information on traffic flow from a spot to an area by the multi-detector nodes working together and provide an accurate data of transportation network traffic-flow for traffic information management system. The mathematical model can be established by the traffic-flow characteristics. It uses wireless magnetometer-based vehicle detection and the algorithm of multi-sensor fusion to achieve the detection of queue length for all approaches of an intersection. It can also detect the queue length during the period of the red light and the first car' s position of the queue as well as the real-time queue length. It can significantly improve the intersection level of service by optimizing the green ratioand balancing the distribution of green light interval during each cycle.
分 类 号:U491.1[交通运输工程—交通运输规划与管理]
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