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Seoul, South Korea

Oh B.,1 Shinsoo Dong | Na Y.,1 Shinsoo Dong | Yang J.,1 Shinsoo Dong | Park S.,1 Shinsoo Dong | And 2 more authors.
Advances in Electrical and Computer Engineering | Year: 2010

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. © 2010 AECE.

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