Short-term traffic flow prediction with linear conditional Gaussian Bayesian network
Author:
Affiliation:
1. Department of Civil and Environmental Engineering; University of Maryland; College Park MD United States
2. Associate Professor, Department of Civil and Environmental Engineering; University of Maryland; College Park MD United States
Publisher
Wiley
Subject
Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering
Reference29 articles.
1. Ahmed MS Cook AR Analysis of freeway traffic time-series data by using Box-Jenkins techniques (No. 722) 1979
2. An evolutionary algorithm that constructs recurrent neural networks;Angeline;IEEE Transactions on Neural Networks,1994
3. Short-term prediction of traffic volume in urban arterials;Hamed;Journal of Transportation Engineering,1995
4. Urban freeway traffic flow prediction: application of seasonal autoregressive integrated moving average and exponential smoothing models;Williams;Transportation Research Record: Journal of the Transportation Research Board,1998
5. On forecasting freeway occupancies and volumes (abridgment);Levin;Transportation Research Record,1980
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