A Spatial Restricted Heuristic Algorithm of Shortest Path

被引：1
|
作者：
Liu Ying-chun [1 ]
Yang Dong-he [2 ]
机构：
[1] ZheJiang Univ Technol, Inst Integrated Informat Syst, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Sci Tech Univ, Coll Informat & Elect, Hangzhou 310018, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS | 2009年
关键词：
shortest path; spatial restricted; road network; heuristic algorithm;
D O I：
10.1109/AICI.2009.160
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The single-source shortest path problem based on the road network has many obvious geographic spatial characteristics. By designing the spatial data model of the road network and analyzing the geometric characteristic of the spatial trend of the path, we form a spatial restricted function which can reduce the cost of searching the shortest path in the road network. The spatial restricted function is used in the heuristic algorithm as a kind of heuristic function. With this function the spatial restricted heuristic algorithm is designed and described. Experimental results show that: the cost of the spatial restricted heuristic algorithm is close to the heuristic A* algorithm, but it can obtain the optimal solution of the shortest path in real time by an iterative algorithm.
引用
收藏
页码：36 / +
页数：2
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