Accurate freeway travel time prediction with state-space neural networks under missing data

Transportation Research Part C: Emerging Technologies

Volumn 13, Issue 5-6, 2005, Pages 347-369

  van Lint, J W C ^a   Hoogendoorn, S P ^a   van Zuylen, H J ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Advanced traffic information systems; Missing data; Neural network design; Non linear state space models; Recurrent neural networks; Robustness; Simple imputation; State space neural networks; Traffic prediction; Travel time prediction

Indexed keywords

HIGHWAY TRAFFIC CONTROL; NONLINEAR SYSTEMS; REAL TIME SYSTEMS; RECURRENT NEURAL NETWORKS; STATE SPACE METHODS; TIME SERIES ANALYSIS;

ADVANCED TRAFFIC INFORMATION SYSTEMS; MISSING DATA; TRAFFIC PREDICTION; TRAVEL TIME PREDICTION;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

ARTIFICIAL NEURAL NETWORK; INFORMATION SYSTEM; MODEL; TRAFFIC MANAGEMENT; TRAVEL TIME;

EID: 33646762818     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2005.03.001     Document Type: Article

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