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This paper describes a methodology and results of traffic prediction by extracting important time related association rules using an evolutionary algorithm named Genetic Network Programming(GNP). The extracted rules provides an useful mean to investigate the future traffic density of traffic networks and hence to develop traffic navigation systems. The proposed methodology is implemented and experimentally...
In this paper, a method is proposed which evaluates Q Value-based Dynamic Programming with Boltzmann Distribution in static road network. The method could distribute vehicles well on all the possible routes from the origin to destination according to the probability. And in this paper, a new method is proposed to calculate the probability which considers the expected traveling time to the destination...
The multiple origins multiple destinations routing (MOMDR) problem becomes extremely complicated when considering the traffic volumes on road sections. When solving this kind of problem, only heuristic algorithms have practical values because it is a typical NP-Hard problem. This paper applies Genetic Algorithm (GA) to enhance Sorting-Randomizing-Adjusting-Updating (SRAU) algorithm. The previous paper...
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