Vehicular congestion detection and short-term forecasting: A new model with results

IEEE Transactions on Vehicular Technology

Volumn 60, Issue 7, 2011, Pages 2936-2948

  Marfia, Gustavo ^a   Roccetti, Marco ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Intelligent transportation systems; traffic forecasting; vehicular software technology for congestion detection; vehicular traffic congestion definition

Indexed keywords

CONGESTION DETECTION; CONGESTION FORECASTING; EMPIRICAL RESULTS; FIELD TRIAL; INTELLIGENT TRANSPORTATION SYSTEMS; LANE OCCUPANCY; MAXIMUM VALUES; NEW MODEL; NUMBER OF LANES; PRIORI KNOWLEDGE; PROBE VEHICLES; ROAD PARAMETERS; SHORT-TERM FORECASTING; TIME INTERVAL; TRAFFIC CONDITIONS; TRAFFIC FORECASTING; TRAFFIC LIGHT; TRAFFIC VOLUMES; URBAN ROAD; VEHICULAR SOFTWARE TECHNOLOGY FOR CONGESTION DETECTION;

AIRPORT VEHICULAR TRAFFIC; FORECASTING; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; MOTOR TRANSPORTATION; ROADS AND STREETS; SOFTWARE ENGINEERING;

TRAFFIC CONGESTION;

EID: 80052859528     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2011.2158866     Document Type: Article

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