An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorIslam, Md. Rokebul
dc.contributor.authorShahid, Nafis Ibn
dc.contributor.authorUl Karim, Dewan Tanzim
dc.contributor.authorMamun, Abdullah Al
dc.contributor.authorRhaman, Md. Khalilur
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2026-09-01T07:26:04Z
dc.date.available2026-09-01T07:26:04Z
dc.date.issued2016-03-01
dc.description.abstractSince the number of vehicles is increasing day by day, traffic jams are becoming a common scenario in large cities like Dhaka. These frequent traffic jams at major junctions kill a lot of man hours. Thus it creates a need for an efficient traffic management system. This paper proposes to implement a smart traffic control system which is based on the measurement of traffic density using real time video processing technique. The video sequences from a camera are analyzed using object detection and counting methods to obtain the most effective way. The computed vehicle density is compared with other parts of the traffic in order to control the traffic signal brilliantly. The system has an advantage of using RFID sensors to ensure law enforcement. Therefore, any car or vehicle which breaks the traffic rules can be easily caught. Through this paper we tried to present a progress in the existing manual traffic control system.
dc.description.versionPublished
dc.format.extent802-807
dc.identifier.citationM. R. Islam, N. I. Shahid, D. T. ul Karim, A. A. Mamun and M. K. Rhaman, "An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system," 2016 18th International Conference on Advanced Communication Technology (ICACT), PyeongChang, Korea (South), 2016, pp. 802-807, doi: 10.1109/ICACT.2016.7423566.
dc.identifier.doi10.1109/ICACT.2016.7423566
dc.identifier.issn17389445
dc.identifier.issn9788996865063
dc.identifier.other2-s2.0-84962816196
dc.identifier.urihttps://hdl.handle.net/10361/29654
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/ICACT.2016.7423566
dc.relation.ispartofInternational Conference on Advanced Communication Technology Icact
dc.relation.ispartofseriesInternational Conference on Advanced Communication Technology Icact
dc.relation.urihttps://ieeexplore.ieee.org/document/7423566
dc.subjectRadiofrequency identification
dc.subjectAutomobiles
dc.subjectMicrocontrollers
dc.subjectIntelligent traffic control
dc.subjectObject detection
dc.subjectSequential timing algorithm
dc.subjectTraffic density
dc.subjectVideo processing
dc.subject.lcshIntelligent Transportation Systems.
dc.subject.lcshImage processing--Digital techniques.
dc.titleAn efficient algorithm for detecting traffic congestion and a framework for smart traffic control system
dc.typeConference Proceeding
oaire.citation.volume2016-March
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id57214494146
person.identifier.scopus-author-id56976146900
person.identifier.scopus-author-id57188767705
person.identifier.scopus-author-id55267863000
person.identifier.scopus-author-id26639807800

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