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- W2382307519 abstract "The urban traffic state could be forecast.Efficient traffic forecast can optimize the traffic state and reduce the traffic jam.Bayesian network (BN) is one of the most efficient models in the uncertain knowledge and theorization field.In this Paper,a network model has been established by compressively considering the traffic jam causes;and a Bayes rule base study algorithm has been proposed based on the available traffic data,which can calculate the probability of traffic jam by counting the conditional probability among variables." @default.
- W2382307519 created "2016-06-24" @default.
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- W2382307519 date "2007-01-01" @default.
- W2382307519 modified "2023-09-28" @default.
- W2382307519 title "Traffic Status Forecast Based on Bayesian Network Model" @default.
- W2382307519 hasPublicationYear "2007" @default.
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