Abstract
This paper is intended to present a method to find an optimized route with intelligent devices for vehicles. Because the vehicles routing problem is one of the possible applications in which the demands of the driver are not specified, this proposed method will use learning automata and fuzzy logics in dynamic environment in order to learn user behavior to predict future behavior and propose an optimized route for the user. The results show that the proposed route is very close to the user desired one.
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Barzegar, S., Davoudpour, M., Sadeghian, A. (2012). A Hybrid Approach for Adaptive Car Navigation. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34487-9_31
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DOI: https://doi.org/10.1007/978-3-642-34487-9_31
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