为提高路况信息获取的预知性和路径引导的时效性,首先综合车辆运行过程中不同时段的路况差异和人因作用,运用时间递推原理,构建交通路径动态诱导整体结构模型,比较知识库累积经验路径与实时路况信息,为驾驶人的时间最短通行路径选择提供信息支撑;然后基于有师学习思路,对路径诱导逻辑内核结构进行解析,给出局部绕行和整体绕行2种算法实现的伪代码;最后通过对不同时刻出行和相同时刻出行的实例仿真分析,验证模型及程序的可靠性。研究结果表明:该交通路径动态诱导方法可辅助驾驶人及时对路况做出正确判断,减少因经验不足和突发事件造成的时间损失,适用于安装有GPS导航的车辆。
In order to improve the predictability for traffic information acquisition and the timeliness for path guiding, firstly, combining the difference of the road conditions in different periods with the human factors, and with the theory of time recursion, the whole structure model for traffic route dynamic guidance was constructed. Based on the comparison of the accumulated experience in knowledge base and the real-time traffic information, the route with the shortest time was proposed for driver's selection with real-time and effective road information. Secondly, according to supervised learning analysis, the dynamic guidance kernel structure was analyzed and the pseudo codes of the logical algorithms for local and whole rerouting were presented. Finally, with the example simulation analysis of different time travels and the same time travels, the reliability of the model and the program were verified. The results show that the method of the traffic route dynamic guidance can assist the drivers to have a correct judgment of traffic information in time, and reduce the loss of time because of lack of experience, or traffic emergencies. The guidance technology can be applied for the vehicles with GPS.