Bayesian neural networks for the prediction of stochastic travel times in urban networks

IET Intelligent Transport Systems

Volumn 5, Issue 4, 2011, Pages 259-265

  Van Hinsbergen, C P I J ^a,b   Hegyi, A ^a   Van Lint, J W C ^a   Van Zuylen, H J ^a,b,c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b TRAIL Research School   (Netherlands)

^c HUNAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NEURAL NETWORKS; BAYESIAN TECHNIQUES; CONFIDENCE BOUNDS; DE-NOISING; HIGH FREQUENCY COMPONENTS; LOW FREQUENCY; NEURAL NETWORK COMMITTEE; NOISY DATA; ROAD USERS; TRAVEL TIME; TRAVEL TIME PREDICTION; URBAN NETWORKS;

BAYESIAN NETWORKS; FORECASTING; TIME VARYING CONTROL SYSTEMS;

NEURAL NETWORKS;

EID: 82955217246     PISSN: 1751956X     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-its.2009.0114     Document Type: Conference Paper

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