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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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| Explanation of Transport Protocol Experts Group, Dec. 2, 2008, Available: Temporary on-line reference link removed - see the PDF document
 E. Moon, "The Introduction of Digital Multimedia Broadcasting in Korea," July 2006, Available: Temporary on-line reference link removed - see the PDF document
 D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Upper Saddle River, NJ: Addison-Wesley, 1989.
 C. W. Ahn, R. S. Ramakrishna, and C. G. Kang, "A New Genetic Algorithm for Shortest Path Routing Problem," IEEE Transactions on Evolutionary Computation, Vol. 6, No. 6, Dec. 2002.
 J. Pearl, Heuristics: Intelligent Search Strategies for Computer Problem Solving. Upper Saddle River, NJ: Addison-Wesley, 1984.
 A. Nagurney and Q. Qiang, "Robustness of transportation networks subject to degradable links," A Letters Journal Exploring the Frontiers of Physics, 68001-p1-p6, 2007.
 I. H. Jung, D. H. Son, "Survey of Highway Business Effect," Korea Research Institute for Human Settlements, 1995.
 E. W. Dijkstra, "A Note on Two Problems in Connexion with Graphs," Numerische Mathematik, Vol. 1, pp. 269-271, 1959.
[CrossRef] [SCOPUS Times Cited 16511]
 Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA, 1998.
 G. Harik, E. Cant¢u-Paz, D. E. Goldberg, and B. L. Miller, "The Gambler's ruin problem, genetic algorithms, and the sizing of populations," Evol. Comput., Vol. 7, No. 3, pp. 231-253, 1999.
[CrossRef] [PubMed] [Web of Science Times Cited 182] [SCOPUS Times Cited 214]
 M. Munetomo, Y. Takai, and Y. Sato, "A Migration Scheme for the Genetic Adaptive Routing Algorithm," IEEE International Conference on Systems, Man, and Cybernetics, pp. 2774-2779, 1998.
 J. Inagaki, M. Haseyama, and H. Kitajima, "A Genetic Algorithm for Determining Multiple Route and Its Applications," Proceedings of IEEE International Symposium on Circuits and Systems, pp. 137-140, 1999.
 Y. Leung, G. Li, and Z. B. Xu, "A genetic algorithm for the multiple destination routing problems," IEEE Trans. EVol. Comput., Vol. 2, pp. 150-161, Nov. 1998.
[CrossRef] [SCOPUS Times Cited 91]
 Z. Xiawei, C. Changjia, and Z. Gang, "A genetic algorithm for multicasting routing problem," in Proc. Int. Conf. Communication Technology (WCC-ICCT 2000), pp. 1248-1253, 2000.
 N. Shimamoto, A. Hiramatsu, and K. Yamasaki, "A dynamic routing control based on a genetic algorithm," in Proc. IEEE Int. Conf. Neural Networks, pp. 1123-1128, 1993.
[CrossRef] [SCOPUS Times Cited 63]
 D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley.
 X. Hue, "Genetic algorithms for optimization: Background and applications," Edinburgh Parallel Computing Centre, Univ. Edinburgh, Edinburgh, Scotland, Ver 1.0, Feb. 1997.
 Sebastian Zander, Thuy Nguyen, and Grenville Armitage, "Automated traffic classification and application identification using machine learning," in Proc. of IEEE Conf. on Local Computer Networks, pp. 250-257, 2005.
[CrossRef] [SCOPUS Times Cited 447]
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