An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015.
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| Idioma: | English |
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BRAC University
2016
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| Acesso em linha: | http://hdl.handle.net/10361/4927 |
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10361-49272019-09-30T03:15:52Z An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system Karim, Dewan Tanzim ul Shahid, Nafis Ibn Mamun, Abdullah Al Islam, Md. Rokebul Rhaman, Dr. Md. Khalilur Department of Electrical and Electronic Engineering, BRAC University EEE Algorithm Traffic This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015. Cataloged from PDF version of thesis report. Includes bibliographical references (page 36-38). As the number of vehicles is increasing day by day; traffic jams are becoming very common in big cities like Dhaka. Due to this frequent traffic jams at major junctions, lots of man hours are being wasted. Lack of trained traffic police officers and old manual traffic light control system made this problem worse in many cities like Dhaka, Chittagong. Thus it creates a need for an efficient traffic management system. The paper proposes to implement an intelligent traffic control system which is based on the measurement of traffic density on the road using real time video and image processing techniques. The image sequences from a camera are analyzed using object detection and counting methods to obtain the most effective techniques. As in Bangladesh Rickshaw is the most popular vehicle and detection of Rickshaw was never done before efficiently. This model has addressed that problem efficiently. The number of vehicles at the intersections is evaluated and traffic condition could be smartly managed. The computed vehicle density can be compared with other parts of the traffic lanes in order to control the traffic signal intelligently. The system will detect vehicles under different challenging conditions and it has an advantage that we will use RFID sensors to ensure law enforcement. Thus any car or vehicle which breaks traffic rules can be easily caught. By this paper we intend to present an improvement in existing manual traffic control system. It also discusses about using the timer for each phase and detecting vehicles through images instead of using electronic sensors embedded in the road. Finally the traffic lights will be controlled according to the traffic conditions on road. B. Electrical and Electronic Engineering 2016-01-24T11:37:14Z 2016-01-24T11:37:14Z 2015 2015-12-17 Thesis ID 11121017 ID 11121090 ID 11121114 ID 11121104 http://hdl.handle.net/10361/4927 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 47 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
EEE Algorithm Traffic |
| spellingShingle |
EEE Algorithm Traffic Karim, Dewan Tanzim ul Shahid, Nafis Ibn Mamun, Abdullah Al Islam, Md. Rokebul An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015. |
| author2 |
Rhaman, Dr. Md. Khalilur |
| author_facet |
Rhaman, Dr. Md. Khalilur Karim, Dewan Tanzim ul Shahid, Nafis Ibn Mamun, Abdullah Al Islam, Md. Rokebul |
| format |
Thesis |
| author |
Karim, Dewan Tanzim ul Shahid, Nafis Ibn Mamun, Abdullah Al Islam, Md. Rokebul |
| author_sort |
Karim, Dewan Tanzim ul |
| title |
An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system |
| title_short |
An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system |
| title_full |
An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system |
| title_fullStr |
An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system |
| title_full_unstemmed |
An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system |
| title_sort |
efficient algorithm for detecting traffic congestion and a framework for smart traffic control system |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/4927 |
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