By Topic

Practical algorithm for shortest path on transportation network

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
$31 $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)
Zhen Zhang ; Sch. of Comput. Sci. & Software, Tianjin Polytech. Univ., Tianjin, China ; Wu Jigang ; Xinming Duan

The shortest path problem is to find a path between two vertices (nodes) on a given graph, such that the sum of the weights on its constituent edges is minimized. This problem has been intensively investigated over years, due to its extensive applications in graph theory, artificial intelligence, computer network and the design of transportation systems. The classic Dijkstra's algorithm was designed to solve the single-source shortest path problem for a static graph. It works starting from the source node and calculating the shortest path on the whole network. Noting that an upper bound of the distance between two nodes can be evaluated in advance on the given transportation network, we proposes a practical algorithm in this paper to calculate the shortest path. The proposed algorithm works on a sub-graph limited by the given upper bound of the distance between the two nodes, rather than on the whole network as did in Dijkstra's algorithm. Experimental results on real dataset with 150 nodes and 176 edges, which is a subnet of the road-map in the Maryland State in US, show that the proposed algorithm reduce the calculations by about 8% on average in comparison to the traditional Dijkstra's algorithm.

Published in:

Computer and Information Application (ICCIA), 2010 International Conference on

Date of Conference:

3-5 Dec. 2010