NDLI: HAS: Hierarchical A-Star Algorithm for Big Map Navigation in Special Areas

Content Provider	IEEE Xplore Digital Library
Author	Haifeng Wang Jiawei Zhou Guifeng Zheng Yun Liang
Copyright Year	2014
Description	Author affiliation: Coll. of Inf., South China Agric. Univ., Guangzhou, China (Yun Liang) \|\| Sch. of Software, Sun Yat-sen Univ., Guangzhou, China (Haifeng Wang; Jiawei Zhou; Guifeng Zheng)
Abstract	The problem of path-finding has to be solved in transportation, city planning, commercial computer games, navigation and many other fields. How to find the shortest path is the key point of this problem. For computer games and many other fields, since the maps are usually not very big, traditional algorithms such as Dijkstra algorithm and AStar algorithm work well. But if we want to find the shortest path of two points in a big city or even a country, the memory and CPU resources are limited and these algorithms may result in bad performance. To solve the problem of navigation in big maps, this paper introduces and analyzes the use of Hierarchical A-Star algorithm which adds the hierarchical mechanism into traditional A-Star algorithm and save the resources of CPU and memory. For a big map such as the map of a country, to find the shortest path of two points, we successively divide the map of the country into maps of states, cities, towns, and blocks. Then we implement A Star algorithm for each layer and recursively find the shortest path of these two points.
Sponsorship	IEEE
Starting Page	222
Ending Page	225
File Size	319544
Page Count	4
File Format	PDF
e-ISBN	9781479942848
DOI	10.1109/ICDH.2014.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis A-Star Navigation Roads Games Map navigation Cities and towns Mathematical model Shortest path algorithm
Content Type	Text
Resource Type	Article

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