基于多属性优先级的动态路径规划方法

Dynamic route planning method based on multi-attribute and priority

针对现存大多数动态路径规划算法目标单一问题进行研究,提出基于理想点的多属性决策方法解决该问题,属性的选取融合时间、路程及现代最为重视的安全因素,使得动态路径规划的结果更加均衡。同时在多属性决策过程中引入优先级这一概念,使得驾驶员可以根据自身的需求及驾驶技术对交通信息的重要度进行排序,得到匹配度最高的驾驶方案。仿真结果表明,基于多属性优先级的动态路径规划算法既能够起到多目标均衡的路径规划效果,同时又能够实现个性化驾驶。

Most dynamic route planning methods now existed only have a single target. In view of this circumstance, a method called MADM based on the ideal point is proposed to solve this problem. The attributes merge time, distance and safety together to make a balance routing result. It also introduces an idea of priority to sort the traffic information according to their requirement and road sense, and finally the traveler could get the best route navigation. The result of simulation shows the dynamic route planning method based on multi-attribute and priority can make multi-objective of route planning equilibrium, as well as can realize a personalized driven.