期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：As the development of the Geospatial Information System (GIS), the application of GIS has spread a variety of realms such as urbanplan, resource management, transportation, environmental protection, surveying, and mapping. Especially the GIS-based path planalgorithm is widely applied for the rescue of emergency, such as earthquakes, forest fires, urban accidents, etc. In an emergencysystem, there are three essential keys to shorten emergency response time. Firstly, there should get real-time position of patrol cars.Secondly, it should obtain emergency resources timely. Lastly, there should be a real-time spatial search method which is basedGIS/GPS emergency response system to get the shortest path for best emergency response force. There are many algorithms foroptimal path computing. Most of these algorithms can give the shortest path results. However, since the shortest path is not surelythe best path with least time-consuming, it is necessary to consider some factors such as the number of lanes, traffic volume, roadlength, road conditions, driving rules in the optimal path computing. In this paper, we provide an improved quick Dijkstra algorithmregarding these factors, instead of taking the shortest distance as target function, the least time is primary taken into account and thetime influence model is used in this method. A simulated case study for urban emergency rescue using high-precision geospatial dataand all related information such as lanes, traffic volume, length, conditions, and driving rules shows this approach feasible
关键词：Optimal path; Time influence model; Emergency rescue
