By Topic

A new public transportation data model and shortest-path algorithms

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

4 Author(s)
Hongmei Wang ; School Of Computer Science and Engineering, Changchun University Of Technology, JiLin, China ; Ming Hu ; Wei Xiao ; Hongmei Wang

By studying the best-path problem for public transportation systems, we found that the nature of transfer is that it requires extra costs from an edge to its adjacent edge. Therefore, we propose the notion of direct/indirect adjacent edges in weighted directed multigraphs and extend the notion of path to the line. We use the direct/indirect adjacent edges weighted directed multigraph as a public transportation data model and improve the storage of an adjacency matrix. We introduce the space storage structure, the matrix VL, in order to store the scattered information of transfer in indirect adjacent edges lists. Thus, we solve the problem of complex network graphs' storage and design a new shortest path algorithm to solve transit problem based on the data model we propose in this paper. Algorithm analysis exhibits that the data model and the algorithm we propose are prior to a simple graph based on the Dijkstra's algorithm in terms of time and space.

Published in:

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on  (Volume:1 )

Date of Conference:

6-7 March 2010