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dc.contributor.authorAbdelhafid, Zeroual
dc.contributor.authorHarrou, Fouzi
dc.contributor.authorSun, Ying
dc.date.accessioned2019-07-21T12:48:03Z
dc.date.available2019-07-21T12:48:03Z
dc.date.issued2018-10
dc.identifier.citationAbdelhafid, Z., Harrou, F., & Sun, Y. (2018). Flexible and efficient model-based congestion detection approach. 2018 6th International Conference on Control Engineering & Information Technology (CEIT). doi:10.1109/ceit.2018.8751929
dc.identifier.doi10.1109/CEIT.2018.8751929
dc.identifier.urihttp://hdl.handle.net/10754/656137
dc.description.abstractThis paper addresses the problem of road traffic congestion detection. We propose an effective approach to detect traffic congestion by combining the piecewise switched linear traffic (PWSL) and Shewhart control scheme. This approach uses PWSL model to describe the evolution of traffic density, and Shewhart chart to detect traffic congestions based on residuals obtained from PWSL model. The PWSL-Shewhart approach is evaluated using traffic data from the four-lane State Route 60 (SR-60) freeway in California. Results indicate that our approach accomplished reliable detection of traffic congestion.
dc.description.sponsorshipThis publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8751929/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8751929
dc.rights(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectTraffic density
dc.subjectmacroscopic modelling
dc.subjectCTM
dc.subjectPWSL model
dc.subjectmonitoring chart
dc.titleFlexible and efficient model-based congestion detection approach
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.date25-27 Oct. 2018
dc.conference.name2018 6th International Conference on Control Engineering & Information Technology (CEIT)
dc.conference.locationIstanbul, Turkey
dc.eprint.versionPost-print
dc.contributor.institutionLAIG Laboratory, University of 08 May 1945, Guelma, 24000, Algeria
dc.contributor.institutionCReSTIC, university of Reims, Champagne-ardenne, France
kaust.personHarrou, Fouzi
kaust.grant.numberCRG4-2582
refterms.dateFOA2019-07-22T12:44:39Z


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