基于动态路况信息的时间最优交通流诱导系统研究

Time-Optimal traffic flow guidance system based on the dynamic traffic information

针对提高城市车辆通行效率缓解交通压力的迫切需求,文章设计研究了一种基于动态路况信息的时间最优交通流诱导系统。该系统利用移动通讯网络将无线电子车牌数据及发送至云服务平台,该平台依据信息分析统计并预测出每条街道通行状况,并针对每个行驶车辆动态分配最优导引路径。文中首先介绍了无线电子车牌的硬件组成结构。其次,重点研究了时间最优车辆诱导路径规划算法,包括路段时间权值的确定方法以及基于路段时间权值信息的改进型A*算法。最后,针对该系统进行了一系列半物理仿真及实验。实验结果表明,该系统不仅能够搜索到准确的时间最优路径,同时还具有较快的运行速度。

This paperproposes a kind oftraffic flow guidance system based ontbe dynamic traffic information for improving the traffic efficiency. In this system, the data of wireless electronic license plate is sent to cloud platform through the mobile communication net-work. Then, the cloud platform predicts all road condition on the basis of the data analysis and also allots the optimal guidance path for each vehicle. The paper firstintroduces the system hardware structure, then focuses on the time optimalpath planning algorithm, inclu-ding the improved A＊ algorithm andthe evaluation method of time weight. Finally, we perfonn a series of semi physical simulation and experiment, and the result shows that the system can find a time optimalguidance path with higher efficiency.