Probe vehicle based real-time traffic monitoring on urban roadways

Transportation Research Part C: Emerging Technologies

Volumn 40, Issue , 2014, Pages 160-178

  Feng, Yiheng ^a   Hourdos, John ^a   Davis, Gary A ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Arterial travel time estimation; Bayesian inference; Mixture normal distribution; Probe vehicle; Real time traffic monitoring

Indexed keywords

BAYESIAN NETWORKS; GEOMETRY; GLOBAL POSITIONING SYSTEM; INFERENCE ENGINES; INFORMATION USE; ITERATIVE METHODS; MIXTURES; MOTOR TRANSPORTATION; NORMAL DISTRIBUTION; PROBES; TRAFFIC CONTROL; TRAFFIC SIGNALS;

ARTERIAL TRAVEL TIME ESTIMATIONS; BAYESIAN INFERENCE; MIXTURE NORMAL DISTRIBUTIONS; PROBE VEHICLES; REAL TIME TRAFFICS;

TRAVEL TIME;

ACCURACY ASSESSMENT; ALGORITHM; BAYESIAN ANALYSIS; GPS; MONITORING SYSTEM; PLANNING METHOD; REAL TIME; TRAFFIC MANAGEMENT; TRAVEL TIME; URBAN AREA;

MINNEAPOLIS; MINNESOTA; UNITED STATES;

EID: 84896330587     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.01.010     Document Type: Article

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