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  Goal Directed Shortest Path Queries Using Precomputed Cluster Distances

Maue, J., Sanders, P., & Matijevic, D. (2006). Goal Directed Shortest Path Queries Using Precomputed Cluster Distances. In Experimental Algorithms, 5th International Workshop, WEA 2006 (pp. 316-327). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-230C-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-230E-5
Genre: Conference Paper

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 Creators:
Maue, Jens1, Author           
Sanders, Peter1, Author           
Matijevic, Domagoj1, Author           
Alvarez, Carme, Editor
Serna, Maria J., Editor
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: We demonstrate how Dijkstra's algorithm for shortest path queries can be accelerated by using precomputed shortest path distances. Our approach allows a completely flexible tradeoff between query time and space consumption for precomputed distances. In particular, sublinear space is sufficient to give the search a strong ``sense of direction''. We evaluate our approach experimentally using large, real-world road networks.

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Language(s): eng - English
 Dates: 2007-02-102006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314658
Other: Local-ID: C1256428004B93B8-E6D1991056F598FCC1257194003878C7-MaueSandersMatijevic2006
 Degree: -

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Title: Untitled Event
Place of Event: Cala Galdana, Menorca, Spain
Start-/End Date: 2006-05-24

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Title: Experimental Algorithms, 5th International Workshop, WEA 2006
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 316 - 327 Identifier: ISBN: 3-540-34597-3

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 4007 Sequence Number: - Start / End Page: - Identifier: -