A Gaussian maximum likelihood formulation for short-term forecasting of traffic flow

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2001, Pages 150-155

  Lin, W H ^a  

^a University of Arizona   (United States)

Author keywords

Statistical analysis; Traffic flow; Traffic forecasting

Indexed keywords

COMPUTATIONAL METHODS; ERROR ANALYSIS; FORECASTING; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DISTRIBUTIONS; TRAFFIC SURVEYS;

GAUSSIAN MAXIMUM LIKELIHOOD METHOD; TRAFFIC FLOW FORECASTING; TRAFFIC SURVEILLANCE SYSTEM;

HIGHWAY TRAFFIC CONTROL;

EID: 0034779489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Short term traffic forecasting using time series methods
2. Application of subset autoregressive integrated moving average model for short-term freeway traffic volume forecasting
3. Dynamic prediction of traffic volume through Kalman filter theory
4. Non-parametric regression and short-term freeway traffic forecasting
5. High performance microscopic simulation for traffic forecasting
6. Adaptive forecasting of freeway traffic congestion
7. Traffic flow forecasting: Comparison of modeling approaches
8. Short-term traffic flow prediction: Neural network approach
9. Short term traffic forecasting using neural network
10. Neural network models for classification and forecasting of freeway traffic flow stability
11. Short-term freeway traffic volume forecasting using radial basis function neural network
12. Freeway service patrol evaluation