Traffic congestion detection based on hybrid observer and GLR test

Fouzi Harrou, Abdelhafid Zeroual, Ying Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This paper introduces an effective approach for detecting road traffic congestion. This approach uses a hybrid observer (HO) that exploits both the flexibility and simplicity of the piecewise switched linear model to estimate the traffic density parameter and employs a generalized likelihood ratio (GLR) test to detect traffic congestion. We evaluated the HO-GLR with real data from a segment of the four-lane State Route 60 (SR-60) highway in southern California. Results show that the HO-GLR approach is suitable for traffic congestion monitoring.
Original languageEnglish (US)
Title of host publication2018 Annual American Control Conference (ACC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages604-609
Number of pages6
ISBN (Print)9781538654286
DOIs
StatePublished - Aug 17 2018

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