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作 者:王亚平[1] 李占锋[1] Wang Yaping;Li Zhanfeng(College of Automotive Engineering,Shaanxi Institute of Communications Technology,Xi'an 710018,China)
机构地区:[1]陕西交通职业技术学院汽车工程学院,陕西西安710018
出 处:《无线互联科技》2018年第19期53-54,共2页Wireless Internet Technology
基 金:陕西省教育厅专项科研计划项目;项目名称:基于智能网联技术的交通拥堵疏散策略研究;项目编号:17JK0071
摘 要:文章对于城市交通路口车辆拥堵问题,完成了疏散路径方法的设计。以各帧线段间交点的出现频率为依据,完成对车道线和车辆消失点位置的确定,针对事故多发区域,为对变换后车辆位置进行确定,组建路段车道坐标变换方程,对车辆进行跟踪匹配时,给出其状态特征,在路口交通流状态的隶属函数的获取上,采用模糊推理实现,对于路段交通流速度和流量,给出其变化特征,据此完成疏散路径的设计,经实验检测后表明该设计方法具有较高的精确度。In this paper, the method of evacuation path is designed to solve the problem of traffc congestion at urban traffc junctions. Based on the frequency of intersection points between lines of each frame, the location of lane line and vehicle vanishing point is determined. In order to determine the position of the vehicle after the transformation, the coordinate transformation equation of the lane is established for the accident prone area. When the vehicle is tracked and matched, the state characteristics of the vehicle are given, and the membership function of the traffc fow state at the intersection is obtained. Fuzzy reasoning is used to realize the fow velocity and fow rate of road sections. According to this, the design of evacuation path is completed. The experimental results show that the design method has high accuracy.
分 类 号:U491[交通运输工程—交通运输规划与管理]
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