关键词: 路径规划, 大气污染, Android, PM2.5, 健康出行

Abstract: Daily travelling is one of the main sources of public air pollution exposure risk. The ambient air quality of 75.1% of cities exceeds the national standard in China. In such situation, avoiding air pollution exposure strength during daily travelling is a new requirement to prevent and control the public health damage. This research integrates the common Kriging interpolation method, model of exposure dose evaluation and Dijkstra path search algorithm to design and develop a public health path planning APP service for Android smartphone device. It has implemented the public health path planning in the situation of dynamic changes of pollution concentration with exposure dose as the indicator. The results of outdoor PM2.5 exposure test show that the healthy path under the Application（APP） service is effective to avoid the risk of air pollution exposure, reducing exposure dose by 5.0% and 7.3% of the traveling individuals compared with the shortest path and the fastest path respectively.

Key words: routing planning, air pollution, Android, PM2.5, health traveling