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Genetic Algorithm-based Dynamic Vehicle Route Search using Car-to-Car CommunicationOH, B. , NA, Y. , YANG, J. , PARK, S. , NANG, J. , KIM, J.
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adaptive system, genetic algorithm, traffic information system
genetic(10), algorithm(6), routing(5), problem(4), learning(4), algorithms(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 81 - 86
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04013
Web of Science Accession Number: 000284782700013
SCOPUS ID: 78649707649
Suggesting more efficient driving routes generate benefits not only for individuals by saving commute time, but also for society as a whole by reducing accident rates and social costs by lessening traffic congestion. In this paper, we suggest a new route search algorithm based on a genetic algorithm which is more easily installable into mutually communicating car navigation systems, and validate its usefulness through experiments reflecting real-world situations. The proposed algorithm is capable of searching alternative routes dynamically in unexpected events of system malfunctioning or traffic slow-downs due to accidents. Experimental results demonstrate that our algorithm searches the best route more efficiently and evolves with universal adaptability.
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Stefan cel Mare University of Suceava, Romania
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