Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection

Ren Wang; Daniel B. Work

doi:10.1109/ITSC.2014.6957788

Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection

Ren Wang, Daniel B. Work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper studies the problem of real-time traffic estimation and incident detection by posing it as a hybrid state estimation problem. An interactive multiple model ensemble Kalman filter is proposed to solve the sequential estimation problem, and to accommodate the switching dynamics and nonlinearity of the traffic incident model. The effectiveness of the proposed algorithm is evaluated through numerical experiments using a perturbed traffic model as the true model. The supporting source code is available for download at https://github.com/Lab-Work/IMM-EnKF-Traffic-Estimation-Incident-Detection.

Original language	English (US)
Title of host publication	2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	804-809
Number of pages	6
ISBN (Electronic)	9781479960781
DOIs	https://doi.org/10.1109/ITSC.2014.6957788
State	Published - Nov 14 2014
Event	2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China Duration: Oct 8 2014 → Oct 11 2014

Other

Other	2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Country/Territory	China
City	Qingdao
Period	10/8/14 → 10/11/14

ASJC Scopus subject areas

Computer Science Applications
Automotive Engineering
Mechanical Engineering

Online availability

10.1109/ITSC.2014.6957788

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Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection. / Wang, Ren; Work, Daniel B.

2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 804-809 6957788.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, R & Work, DB 2014, Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection. in 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014., 6957788, Institute of Electrical and Electronics Engineers Inc., pp. 804-809, 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 10/8/14. https://doi.org/10.1109/ITSC.2014.6957788

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Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection

Abstract

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