一种健康出行路径动态搜索算法与系统实现

为方便公众优化出行路径，规避或减少空气污染暴露损害，提出一种基于低空气污染暴露的健康出行路径动态搜索算法（dynamic healthy-route search algorithm，DHRSA），并设计开发了相应健康出行路线规划系统。该算法通过融合土地利用回归制图、暴露风险权重估算和Dijkstra最短路径搜索算法，基于实时空气污染情景动态规划健康出行路径。以长沙主城区为例进行随机车辆出行方式测试实验，通过比较DHRSA算法规划的健康出行路径与传统最短出行路径、最快出行路径的出行暴露风险，验证了该算法的可靠性与系统的实用价值。

A Dynamic Healthy-Route Search Algorithm and System Realization

In order to reduce the public air pollution exposure risk at daily comminuting time, a dynamic healthy-route searching algorithm(DHRSA) is proposed and consequently a healthy-route searching system is developed in this paper. The system can be applied to search the healthy-route dynamically, by integrating the land use regression air concentration mapping model, the exposure risk weight estimated model and the Dijkstra searching method. Through the case study of random tests for vehicle in the Changsha urban agglomeration area, results show that the potential population exposure risk can be reduced significantly through healthy-routes comparing to the shortest routes and the least travel time routes, which indicates the reliability and practical value of DHRSA and the healthy-route searching system.