Abstract: 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.