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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...
Genetic Network Programming(GNP) based time related association rules mining method provides an useful mean to investigate future traffic volumes of road networks and hence helps to develop traffic navigation systems. Further improvements have been proposed in this paper about the time related association rule mining using generalized GNP with Accuracy Validation. For better adapting to the real-time...
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