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dc.contributor.advisorRahman, Dr. Mohammad Zahidur
dc.contributor.advisorMostakim, Mr. Moin
dc.contributor.authorAlam, Tahmid Tanzi
dc.contributor.authorChowdhury, Ahmad Naquib
dc.date.accessioned2016-09-20T04:44:57Z
dc.date.available2016-09-20T04:44:57Z
dc.date.copyright2016
dc.date.issued2016
dc.identifier.otherID 13101060
dc.identifier.otherID 13101042
dc.identifier.urihttp://hdl.handle.net/10361/6419
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 51-54).
dc.description.abstractRoad traffic congestion remains a global phenomenon that causes great problems in the cities of the world; especially developing countries, resulting in massive delay, unpredicted travel times, increased fuel consumption, man-hour and monetary loss. The issue has arisen from poorly planned road network and traffic management, resulting in unbearable traffic jams. It is prevalent greatly during weekends, public holidays and periods of major activities. Major causes of the congestion include lane indiscipline, high traffic density, low road network carrying capacity, poor traffic management and support infrastructure such as lay-bye, and low response to removal of broken down and crashed vehicles. This paper gives an intelligent solution for tackling the issue of traffic congestion using parallel algorithm with real time data feeding by re-routing.en_US
dc.description.statementofresponsibilityTahmid Tanzi Alam
dc.description.statementofresponsibilityAhmad Naquib Chowdhury
dc.format.extent54 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.subjectIntelligent road trafficen_US
dc.subjectTraffic management systemen_US
dc.subjectReal time schedulingen_US
dc.subjectGoogle trafficen_US
dc.subjectGPU architectureen_US
dc.titleAn intelligent road traffic management systemen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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