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An adaptive freeway traffic state estimator and its real-data testing-part II: adaptive capabilities

Wang, Y. / Papageorgiou, M. / Messmer, A.

This paper reports on the real-data testing of a real-time adaptive freeway traffic state estimator that is based on macroscopic traffic flow modelling and extended Kalman filtering. The testing intends to demonstrate some main features of the estimator that are partly due to its adaptive capability based on on-line model parameter estimation. These features are (1 ) avoiding off-line model calibration ; (2) adaptation to changing environmental conditions; (3) enabling incident alarms. The reported testing results are quite satisfactory and promising for future applications of the estimator.

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An adaptive freeway traffic state estimator and its real-data testing-part II: adaptive capabilities

Wang, Y. / Papageorgiou, M. / Messmer, A.

This paper reports on the real-data testing of a real-time adaptive freeway traffic state estimator that is based on macroscopic traffic flow modelling and extended Kalman filtering. The testing intends to demonstrate some main features of the estimator that are partly due to its adaptive capability based on on-line model parameter estimation. These features are (1 ) avoiding off-line model calibration ; (2) adaptation to changing environmental conditions; (3) enabling incident alarms. The reported testing results are quite satisfactory and promising for future applications of the estimator.

An adaptive freeway traffic state estimator and its real-data testing-part II: adaptive capabilities

Wang, Y. / Papageorgiou, M. / Messmer, A.

This paper reports on the real-data testing of a real-time adaptive freeway traffic state estimator that is based on macroscopic traffic flow modelling and extended Kalman filtering. The testing intends to demonstrate some main features of the estimator that are partly due to its adaptive capability based on on-line model parameter estimation. These features are (1 ) avoiding off-line model calibration ; (2) adaptation to changing environmental conditions; (3) enabling incident alarms. The reported testing results are quite satisfactory and promising for future applications of the estimator.

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Document information

Title:

An adaptive freeway traffic state estimator and its real-data testing-part II: adaptive capabilities

Contributors:

Wang, Y. (author) / Papageorgiou, M. (author) / Messmer, A. (author)

Published in:

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. ; 537-542

Publication date:

2005-01-01

Size:

525418 byte

ISBN:

DOI:

https://doi.org/10.1109/ITSC.2005.1520105

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

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