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Volumn 1, Issue , 2008, Pages 242-247
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A short-term prediction model for forecasting traffic information using Bayesian network
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Author keywords
ITS; Short term prediction; Telematics; Traffic information forecasting
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Indexed keywords
DYNAMIC SHORTEST PATHS;
GAUSSIAN MIXTURE MODELS;
HIGH QUALITIES;
INTELLIGENT TRANSPORT SYSTEMS;
ITS;
JOINT PROBABILITY DENSITY FUNCTIONS;
PREDICTION MODELS;
REAL TRAFFICS;
REALTIME TRAFFIC INFORMATIONS;
ROOT MEAN SQUARE ERRORS;
SHORT-TERM PREDICTION;
SHORTEST PATHS;
TELEMATICS;
TRAFFIC INFORMATION FORECASTING;
TRAFFIC INFORMATION SERVICES;
TRAFFIC INFORMATION USING;
TRAINING DATA SETS;
TRAVEL TIMES;
BAYESIAN NETWORKS;
DISTRIBUTED PARAMETER NETWORKS;
FORECASTING;
INFERENCE ENGINES;
INFORMATION SERVICES;
INFORMATION TECHNOLOGY;
INTELLIGENT NETWORKS;
INTELLIGENT VEHICLE HIGHWAY SYSTEMS;
MATHEMATICAL MODELS;
PROBABILITY DENSITY FUNCTION;
SPEECH ANALYSIS;
TRAFFIC CONTROL;
WIRELESS SENSOR NETWORKS;
TRAFFIC SURVEYS;
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EID: 57849093583
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICCIT.2008.355 Document Type: Conference Paper |
Times cited : (14)
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References (9)
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