dc.contributor.advisor | Rahman, Dr. Mohammad Zahidur | |
dc.contributor.advisor | Mostakim, Mr. Moin | |
dc.contributor.author | Alam, Tahmid Tanzi | |
dc.contributor.author | Chowdhury, Ahmad Naquib | |
dc.date.accessioned | 2016-09-20T04:44:57Z | |
dc.date.available | 2016-09-20T04:44:57Z | |
dc.date.copyright | 2016 | |
dc.date.issued | 2016 | |
dc.identifier.other | ID 13101060 | |
dc.identifier.other | ID 13101042 | |
dc.identifier.uri | http://hdl.handle.net/10361/6419 | |
dc.description | This 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.description | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (page 51-54). | |
dc.description.abstract | Road 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.statementofresponsibility | Tahmid Tanzi Alam | |
dc.description.statementofresponsibility | Ahmad Naquib Chowdhury | |
dc.format.extent | 54 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.subject | Intelligent road traffic | en_US |
dc.subject | Traffic management system | en_US |
dc.subject | Real time scheduling | en_US |
dc.subject | Google traffic | en_US |
dc.subject | GPU architecture | en_US |
dc.title | An intelligent road traffic management system | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B. Computer Science and Engineering | |