|4/2010 - 13|
Genetic Algorithm-based Dynamic Vehicle Route Search using Car-to-Car CommunicationOH, B. , NA, Y. , YANG, J. , PARK, S. , NANG, J. , KIM, J.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (4,747 KB) | Citation | Downloads: 1,343 | Views: 2,719|
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.
|References|||||Cited By «-- Click to see who has cited this paper|
| 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 9770]
 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 148]
 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 82]
 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 51]
 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 261]
Web of Science® Citations for all references: 148 TCR
SCOPUS® Citations for all references: 10,164 TCR
Web of Science® Average Citations per reference: 8 ACR
SCOPUS® Average Citations per reference: 535 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2017-11-20 00:44 in 93 seconds.
Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.