A bayesian network approach to traffic flow forecasting

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...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2006-03, Vol.7 (1), p.124-132
Hauptverfasser:	Sun, S., Zhang, C., Yu, G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Bayesian analysis Bayesian methods Bayesian network Communication system traffic control Computer science control theory systems Computer systems and distributed systems. User interface Control theory. Systems Exact sciences and technology expectation maximization algorithm Forecasting Gaussian mixture model Ground, air and sea transportation, marine construction Information analysis Intelligent transportation systems Links Mathematical models Maximization Mean square errors Networks Prediction methods Predictive models Road transportation and traffic Roads Robotics Software Studies Sun Telecommunication traffic Traffic control Traffic flow traffic flow forecasting
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