Optimization of LRT Route for Mobile Web Application Engine

Integrated light rail transit (LRT) system in the capital of Malaysia connects some key districts to historical places, interesting places, business areas and shopping malls are concentrated. The train services are running independently but have interchanges to integrate from one different LRT lines...

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Bibliographic Details
Published in:	2009 International Conference of Soft Computing and Pattern Recognition pp. 642 - 646
Main Authors:	Lim, A.M.H., Sazli, N.S.W., Hussin, B., Azlianor, A.A., Suhaizan, S.M., Massila, K.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2009
Subjects:	Curve fitting Data mining Dijkstra Engines Image segmentation Information science Iterative algorithms Light rail systems Mobile Pattern recognition Phase detection Route Shape Shortest Path Web
Online Access:	Get full text
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Summary:	Integrated light rail transit (LRT) system in the capital of Malaysia connects some key districts to historical places, interesting places, business areas and shopping malls are concentrated. The train services are running independently but have interchanges to integrate from one different LRT lines. This may leads the traveler facing difficulty when they are choosing incorrect destination station especially on different LRT lines which contribute to time consuming and high costing. In previous research we already implement the mobile Web application architecture where the destination-oriented routes need to be dynamically generated by determining the nearest station according to the specific places. In this paper, we proposed the used of Dijkstra's algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination.
ISBN:	1424453305 9781424453306
DOI:	10.1109/SoCPaR.2009.126