Use of sequential learning for short-term traffic flow forecasting

Transportation Research Part C: Emerging Technologies

Volumn 9, Issue 5, 2001, Pages 319-336

  Chen, Haibo ^a   Grant Muller, Susan ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Dynamic model; Incidents; Inter urban data; Motorway; Neural networks; Resource allocating network (RAN); Sequential learning; Traffic forecasting

Indexed keywords

DATA REDUCTION; FORECASTING; HIGHWAY ADMINISTRATION; NEURAL NETWORKS; ROADS AND STREETS; STATISTICAL METHODS;

TRAFFIC FLOW;

TRAFFIC SURVEYS;

MOTORWAY; TRAFFIC MANAGEMENT;

EID: 0035480351     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0968-090X(00)00039-5     Document Type: Article

References (29)

1. Recursive node creation in back-propagation neural networks using orthogonal projection method
2. Investigation of network performance prediction
3. Investigation of network performance prediction
4. Link/network performance models: Results in DYNA
5. The use of neural networks and time series models for short-term traffic forecasting: A comparative study
6. ATHENA, une methode de precision a court terme du trafic autoroutier
7. Short-term road traffic forecasting using neural network
8. Investigation of network performance prediction literature review
9. Short-term inter-urban traffic forecasts using neural networks
10. Nonparametric traffic flow prediction using kernel estimator
11. A function estimation approach to sequential learning with neural networks
12. Should we use neural networks or statistical models for short term motorway traffic forecasting?
13. A sequential learning scheme for function approximation using minimal radial basis function neural networks
14. Strategic traffic control on the English motorway network
15. Slow, slow, quick, quick, slow: Taking the stop-start out of the London orbital
16. Dynamic prediction of traffic volume through Kalman filtering theory
17. A resource-Allocating Network for Junction Interpolation
18. Two dimensional estimation of speed-flow relationships with back propagation neural networks
19. Multiple-Interval freeway traffic flow forecasting
20. Traffic flow forecasting: Comparison of modelling approaches
21. Combining Kohonen maps with ARIMA time series models to forecast traffic flow
22. Travel time estimation in the GERDIEN project
23. Alternative approaches to short term forecasting for use in driver information systems
24. Tracking and predicting a network traffic process
25. Pattern-based forecasting