A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times

Transportation Research Part C: Emerging Technologies

Volumn 46, Issue , 2014, Pages 83-97

  Kim, Jiwon ^a   Mahmassani, Hani S ^a  

^a Northwestern University   (United States)

Author keywords

Expectation Maximization algorithm; Finite mixture model; Gamma Gamma distribution; Travel time reliability; Travel time variability

Indexed keywords

IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; METEOROLOGY; MIXTURES; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; TRAVEL TIME; VEHICLE TO VEHICLE COMMUNICATIONS; VEHICLES; ACCIDENTS;

EXPECTATION-MAXIMIZATION ALGORITHMS; FINITE MIXTURE MODELING; GAMMA-GAMMA DISTRIBUTION; TRAVEL TIME RELIABILITY; TRAVEL TIME VARIABILITIES;

ACCIDENTS; TRAVEL TIME;

ALGORITHM; NUMERICAL MODEL; ROAD TRANSPORT; TRAFFIC CONGESTION; TRAVEL TIME; MODELING; RELIABILITY ANALYSIS; TRAFFIC MANAGEMENT;

EID: 84901985314     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.05.011     Document Type: Article

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