基于路网饱和度平滑算法的交通信号群配时系统设计

发布时间：2018-01-10 03:19

本文关键词：基于路网饱和度平滑算法的交通信号群配时系统设计　出处：《西安建筑科技大学学报(自然科学版)》2014年03期 　论文类型：期刊论文

【摘要】：针对棋盘状城市路网交通信号群,提出一种基于饱和度阵列平滑的信号配时算法,并且建立一个路网配时优化系统.采用两种二维模板分别对整体路网信号周期和绿信比进行调控,其中拥堵程度评估模板从小区域进行拥堵判定并对中心交叉口调整周期时长;拥堵方向四邻模板从相邻交叉口空位分析中判断绿信调整方向.从面到点进行宏观到微观的调控,使路网信号群协同工作.动态阈值使路网处于对车流速度能产生线性影响的正常饱和区域,空域滤波使整个路网饱和度快速平滑和降低,进而提高了整体车流的行驶效率,间接降低了整体车辆延误.仿真结果表明:饱和度平滑优化方法效果显著优于传统静态方法,适合于突发性或整体严重不均衡的交通状况,也适合于高饱和度交通状况.
[Abstract]:The checkerboard city traffic signal network group, proposed a signal saturation array based on smoothing algorithm, optimize the system and establish a network distribution. By using two kinds of two-dimensional template of the whole network signal cycle and green ratio control, the congestion degree evaluation template from region determine and adjust the cycle of congestion the center of the intersection; congestion direction neighborhood template to determine green signal to adjust the direction from the analysis of adjacent intersection vacancy. From the point of micro macro control to make the network signal group work. In the linear dynamic threshold so that the road traffic speed can influence on the normal saturation region, so that the entire road network saturation fast spatial filtering smooth and reduce, and improve the overall efficiency of traffic flow, and indirectly reduce the whole vehicle delay. The simulation results show that the saturation smoothing optimization. The method is better than the traditional static method. It is suitable for the traffic condition of sudden or serious unbalance, and it is also suitable for high saturation traffic condition.

【作者单位】：西安建筑科技大学信息与控制工程学院;西安建筑科技大学建筑学院;
【基金】：国家自然科学基金项目(61373112) 陕西省社会发展攻关项目(2013K13-04-08)
【分类号】：U491.54;TP301.6
【正文快照】： 目前,我国很多城市交通供需极不平衡,车辆数剧增,而城市道路拓宽难度很大,使得车辆拥堵频繁发生.在车辆出行时间的延误中,交叉口延误所占的比例远大于路段延误,因此对交叉口信号灯的配时的实时动态优化,对于减少延误,缓解交通拥堵具有很大意义.我国大部分老城区采用棋盘状路网

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