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Reseach Article

Enhanced Routing in Disaster Management based on GIS

Published on August 2012 by Varsha Mali, Madhuri Rao, S. S. Mantha
International Conference on Intuitive Systems and Solutions 2012
Foundation of Computer Science USA
ICISS - Number 1
August 2012
Authors: Varsha Mali, Madhuri Rao, S. S. Mantha
ee46e3e1-6a7c-49d9-8ed5-88d54ef2e1a2

Varsha Mali, Madhuri Rao, S. S. Mantha . Enhanced Routing in Disaster Management based on GIS. International Conference on Intuitive Systems and Solutions 2012. ICISS, 1 (August 2012), 14-18.

@article{
author = { Varsha Mali, Madhuri Rao, S. S. Mantha },
title = { Enhanced Routing in Disaster Management based on GIS },
journal = { International Conference on Intuitive Systems and Solutions 2012 },
issue_date = { August 2012 },
volume = { ICISS },
number = { 1 },
month = { August },
year = { 2012 },
issn = 0975-8887,
pages = { 14-18 },
numpages = 5,
url = { /proceedings/iciss/number1/7952-1004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Intuitive Systems and Solutions 2012
%A Varsha Mali
%A Madhuri Rao
%A S. S. Mantha
%T Enhanced Routing in Disaster Management based on GIS
%J International Conference on Intuitive Systems and Solutions 2012
%@ 0975-8887
%V ICISS
%N 1
%P 14-18
%D 2012
%I International Journal of Computer Applications
Abstract

In emergency routing, core problem is how to reach accident area in minimum time. Traditional distance based routing does not always gives optimal path in time in need. This paper presents an enhanced routing method which is based on Dijkstra's algorithm and Analytical hierarchical processing. Seven impendence factors which cause delay in emergency situations are found and Analytical hierarchical processing is used to compared and analyze these seven factors to give overall weight to each road in network. Then Dijkstra's Algorithm is applied on this weighted road network to give optimal path between source and destination. Optimal path here does not necessarily mean shortest path but a path which takes minimum travel time. Seven impedance factors considered here are, Road length, Road width, Road type, Traffic volume, Mass density, Velocity limit, Junction Delay. As Traffic Volume does not remain constant throughout a day on particular road, dynamic emergency routing is proposed in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gis Ahp Emergency Routing Dijkstra's Algorithm Optimal Path