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Route planning is one of the essential functions of vehicle navigation systems. The shortest path problem has been widely studied for route planning. In this paper, a Q value-based Dynamic Programming using Division Concept is proposed for solving shortest path problem. The proposed algorithm can save the route computational time without any preprocessing and precomputing. The simulation results shows...
The optimal route search in car navigation Systems is often considered to be a route search from the origin to destination. Many algorithms have been proposed to search for the optimal route from the origin to destination. However, in real situations several restrictions may need to be considered in the route search like some intersections must be included in the route while some should be excluded...
Unlike conventional shortest route search algorithms, Q value-based Dynamic Programming with Boltzmann Distribution is proposed for providing reliable optimal candidate routes to avoid traffic congestions. Based on the multiple static traffic data, the characteristics of the method are systematically studied: 1) Candidate routes for each vehicle are generated probabilistically by Boltzmann Distribution...
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