Finding shortest paths on real road networks: the case for A

The problem of identifying the shortest path along a road network is a fundamental problem in network analysis, ranging from route guidance in a navigation system to solving spatial allocation problems. Since this type of problem is solved so frequently, it is important to craft an approach that is...

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Vydáno v:International journal of geographical information science : IJGIS Ročník 23; číslo 4; s. 531 - 543
Hlavní autoři: Zeng, W., Church, R. L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Abingdon Taylor & Francis 01.04.2009
Taylor & Francis LLC
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ISSN:1365-8816, 1362-3087, 1365-8824
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Shrnutí:The problem of identifying the shortest path along a road network is a fundamental problem in network analysis, ranging from route guidance in a navigation system to solving spatial allocation problems. Since this type of problem is solved so frequently, it is important to craft an approach that is as efficient as possible. Based upon past research, it is generally accepted that several efficient implementations of the Dijkstra algorithm are the fastest at optimally solving the 'one-to-one' shortest path problem (Cherkassky et al. 1996 ). We show that the most efficient state-of-the-art implementations of Dijkstra can be improved by taking advantage of network properties associated with GIS-sourced data. The results of this paper, derived from tests of different algorithmic approaches on real road networks, will be extremely valuable for application developers and researchers in the GIS community.
Bibliografie:SourceType-Scholarly Journals-1
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ISSN:1365-8816
1362-3087
1365-8824
DOI:10.1080/13658810801949850