Shortest Path Algorithms in Transportation Networks

Dr. V.V.S.Chandra Mouli; N.Geethanjali

Shortest Path Algorithms in Transportation Networks

Dr. V.V.S.Chandra Mouli * §

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N.Geethanjali

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§ G. Pulla Reddy Engineering College

Shortest Path Algorithms in Transportation Networks

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Abstract

Shortest Path problems are among the most studied network flow optimization problems with interesting applications in a wide range of fields. One such application is in the field of GPS routing systems. These systems need to quickly solve large shortest path problems but are typically embedded in devices with limited memory and external storage. Conventional techniques for solving shortest paths within large networks cannot be used as they are either too slow or require huge amounts of storage. In this project we have tried to reduce the runtime of conventional techniques by exploiting the physical structure of the road network and using network pre-processing techniques. Our algorithms may not guarantee optimal results but can offer significant savings in terms of memory requirements and processing speed. Our work uses heuristic estimates to bind the search and directs it towards a destination. We also associate a radius with each node that gives a measure of importance for roads in the network. The farther we get from either the origin or destination the more selective we become about the roads we travel with greater importance (i.e. roads with larger radii).By using these techniques we were able to dramatically reduce the runtime performance compared to conventional techniques while still maintaining an acceptable level of accuracy.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. V.V.S.Chandra Mouli, N.Geethanjali. 1970. "Shortest Path Algorithms in Transportation Networks". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 1).

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GJCST Volume 10 Issue 1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedFebruary 8, 2010
Peer Review Double Blind
Handling Editor
Accepted February 28, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

July 10, 2010

Language

English

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Article Matrices

Total Score: 148

Country: Unknown

Subject: Global Journal of Computer Science and Technology

Authors: Dr. V.V.S.Chandra Mouli, S.Meena Kumari, N.Geethanjali (PhD/Dr. count: 1)

View Count (all-time): 223

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Publish Date: 2010 03, Mon

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Total Views: 6.6K

Total Downloads: 517

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