Real-time freeway traffic state estimation based on extended Kalman filter: Adaptive capabilities and real data testing

Transportation Research Part A: Policy and Practice

Volumn 42, Issue 10, 2008, Pages 1340-1358

  Wang, Yibing ^a   Papageorgiou, Markos ^b   Messmer, Albert ^c  

^a MONASH UNIVERSITY   (Australia)

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

^c NONE   (Germany)

Author keywords

Adaptive capabilities; Changing external conditions; Extended Kalman filter; Freeway traffic state estimation; Incident alarm; Online model parameter estimation; Stochastic macroscopic traffic flow model; Traffic incidents

Indexed keywords

ADAPTIVE FILTERING; EXTENDED KALMAN FILTERS; HIGHWAY TRAFFIC CONTROL; STATE ESTIMATION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; STREET TRAFFIC CONTROL;

ADAPTIVE CAPABILITIES; CHANGING EXTERNAL CONDITIONS; FREEWAY TRAFFIC STATE ESTIMATION; INCIDENT ALARM; ONLINE MODEL PARAMETER ESTIMATION; STOCHASTIC MACROSCOPIC TRAFFIC FLOW MODEL; TRAFFIC INCIDENTS;

PARAMETER ESTIMATION;

ADAPTIVE MANAGEMENT; DATA PROCESSING; ESTIMATION METHOD; FLOW MODELING; KALMAN FILTER; REAL TIME; STOCHASTICITY; TRAFFIC CONGESTION; TRAFFIC MANAGEMENT;

EID: 54049147670     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2008.06.001     Document Type: Article

References (10)

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