By Topic

Approximate shortest path algorithms for network-tree model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Guozhen Tan ; Dept. of Comput. Sci. & Eng., Dalian Univ. of Technol., China ; Xiaojun Han ; Yilin Zhao

The problem addressed in this paper is how to efficiently compute the approximate shortest paths of large-scale network. We propose the wholly new network-tree model (NTM) constructed from arbitrary network and associated approximate algorithms for high performance computation of shortest path in large-scale network. For the tradeoffs between the computational speed and errors, three approximate network-tree shortest path (ANTSP) algorithms are presented: nearest ANTSP, heuristic ANTSP and sub-optimal ANTSP algorithms. The experiment results based on grid network show that all ANTSP algorithms achieve much higher computational efficiency than Dijkstra algorithm, and the average errors of heuristic ANTSP and sub-optimal ANTSP algorithms are significantly reduced.

Published in:

Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE  (Volume:2 )

Date of Conference:

12-15 Oct. 2003