A structural state space model for real-time traffic origin-destination demand estimation and prediction in a day-to-day learning framework

Transportation Research Part B: Methodological

Volumn 41, Issue 8, 2007, Pages 823-840

  Zhou, Xuesong ^a   Mahmassani, Hani S ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Dynamic OD estimation and prediction; Kalman filter; Real time traffic estimation and prediction; Traffic system management

Indexed keywords

ESTIMATION; KALMAN FILTERS; MANAGEMENT; OPTIMIZATION; REAL TIME SYSTEMS;

ORIGIN-DESTINATION ESTIMATION; REAL-TIME TRAFFIC; TRAFFIC SYSTEM MANAGEMENT;

HIGHWAY TRAFFIC CONTROL;

ESTIMATION METHOD; KALMAN FILTER; NUMERICAL MODEL; PREDICTION; REAL TIME; TRAFFIC MANAGEMENT; TREND ANALYSIS;

EID: 34250655003     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2007.02.004     Document Type: Article

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