Investigation of the adaptive features of a real-time nonlinear freeway traffic state estimator

Nonlinear Dynamics

Volumn 49, Issue 4, 2007, Pages 511-524

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

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b NONE   (Germany)

Author keywords

Congestion; Extended Kalman filter; Freeway traffic state estimation; On line model parameter estimation; Stochastic macroscopic traffic flow model; Traffic incidents

Indexed keywords

ADAPTIVE SYSTEMS; EXTENDED KALMAN FILTERS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; STATE ESTIMATION; STOCHASTIC MODELS;

CONGESTION; FREEWAY TRAFFIC STATE ESTIMATION; ONLINE MODEL PARAMETER ESTIMATION; STOCHASTIC MACROSCOPIC TRAFFIC FLOW MODELS; TRAFFIC INCIDENTS;

HIGHWAY SYSTEMS;

EID: 34547473187     PISSN: 0924090X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11071-006-9112-2     Document Type: Article

References (8)

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2. Wang, Y., Papageorgiou, M., Messmer, A.: A real-time freeway network traffic surveillance tool. IEEE Trans. Control Syst. Tech. 14, 18-32 (2006)
3. Wang, Y., Papageorgiou, M., Messmer, A.: Algorithms and preliminary testing for traffic surveillance. Deliverable 3.2 for the Project RHYTHM (IST-2000-29427), report for the Information Society Technologies Office of the European Commission, Brussels, Belgium (2003)
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8. Wang, Y., Papageorgiou, M., Messmer, A.: Real-time freeway traffic state estimation: a case study. Transp. Sci., accepted for publication