A bayesian network approach to traffic flow forecasting

@article{Sun2006ABN,
  title={A bayesian network approach to traffic flow forecasting},
  author={Shiliang Sun and Changshui Zhang and Guoqiang Yu},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2006},
  volume={7},
  pages={124-132}
}
A new approach based on Bayesian networks for traffic flow forecasting is proposed. In this paper, traffic flows among adjacent road links in a transportation network are modeled as a Bayesian network. The joint probability distribution between the cause nodes (data utilized for forecasting) and the effect node (data to be forecasted) in a constructed Bayesian network is described as a Gaussian mixture model (GMM) whose parameters are estimated via the competitive expectation maximization (CEM… CONTINUE READING

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