Unscented particle filter for delayed car-following models estimation

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2006, Pages 1598-1603

  Hoogendoom, Serge ^a   Ossen, Saskia ^a   Schreuder, Marco ^a   Gorte, Ben ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; HIGHWAY TRAFFIC CONTROL; MATHEMATICAL MODELS; PARAMETER ESTIMATION;

CAR-FOLLOWING MODELS; PARTICLE FILTER; TRAFFIC ENGINEERING;

DIGITAL FILTERS;

EID: 41849151509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Chandler, R.E., R. Herman, and E.W. Montroll, Traffic Dynamics: Studies in Car-Following. Operations Research, 1958. 6(2): p. 165-184.
2. Leutzbach, W., An Introduction Into the Theory of Traffic Flow. 1988.
3. Helly, W. Simulation of Bottlenecks in Single Lane Traffic Flow, in International Symposium on the Theory of Traffic Flow. 1959. New York.
4. Tampère, C.M.J., Human-kinetic traffic flow modelling for the analysis of Advanced Driver Assistance systems in congestion, in TRAIL Research School. 2004, Delft University of Technology: Delft.
5. Bexelius, S., An extended model for car-following. Transportation Research, 1968. 2(1): p. 13-21.
6. Muñoz, J.C. and C.F. Daganzo. Moving Bottlenecks: a Theory Grounded on Experimental Observation. In Transportation and Traffic Theory in the 21st Century, 15th International Symposium on Transportation and Traffic Theory. 2001: Pergamon-Elsevier, Oxford, U.K.
7. Daganzo, C.F., A Behavioral Theory of Multi-Lane Traffic Flow. Part I: Long Homogeneous Freeway Sections. Transportation Research B, 2002. vol 36B, issue 2: p. 131-158.
8. Dijker, T., P.H.L. Bovy, and R.G.M.M. Vermijs, Car-Following under Congested Conditions: Empirical Findings. Transportation Research Record, 1998. 1644: p. 20-28.
9. Van der Hulst, M., Adaptive control of safety margins in driving. 1998, University of Groningen: Groningen.
10. Hoogendoom, S.P. and H.J.V. Zuylen. Tracing Congestion Dynamics with Remote Sensing, in Management and Information Systems 2004. 2004. Malaga, Spain: WIS.
11. Singhal, S. and L. Wu, Training multilayer perceptrons with the Extended Kalman Filter. Advances in Neural Information Processing Systems, 1989. 1: p. 133-140.
12. Haykin, S., Kalman filtering and Neural Networks. Adaptive and Learning Systems for Signal Processing, Communications, and Control, ed. S. Haykin. 2001, Ontario: John Wiley & Sons, Inc.
13. Hoogendoom, S.P. and S. Ossen. Static and Dynamic Parameter Estimation and Analysis of Car-Following Models. in International Symposium and Transportation and Traffic Theory. 2005. Maryland, USA: Elsevier.