Volume 4, Issue 3, May 2019, Page: 75-81
Assessment of Traffic Congestion by Traffic Flow Analysis in Pabna Town
Md. Tufajjal Hossain, Department of Urban & Regional Planning, Pabna University of Science and Technology, Pabna, Bangladesh
Md. Kamrul Hasan, Department of Urban & Regional Planning, Pabna University of Science and Technology, Pabna, Bangladesh
Received: Mar. 26, 2019;       Accepted: Apr. 29, 2019;       Published: Jun. 13, 2019
DOI: 10.11648/j.ajtte.20190403.11      View  841      Downloads  302
In recent time, traffic congestion problem has become one of the most costly, both monetary and environmentally, problems in many cities all over the world. It also causes valuable time loss of citizens. Many experts suggested that the foremost step to mitigate the congestion problem is to identify traffic congestion characteristics. This study has been conducted to measure the intensity of traffic congestion of Pabna town. Traffic volume survey and spot speed study were the main methodological approaches to conduct the study. The data collected has been analyzed through the use of different statistical computer packages. Different traffic flow theories and models have also been used to calculate traffic flow parameters that expose traffic characteristics. The study has explored that auto-rickshaw, cycle rickshaw, bicycle, and motorcycle are the popular traffic mode and traffic flow becomes so intensive during the morning, noon and evening hours. It has also revealed that Ataikula road is the most congestion-prone route than A.H road and the level of services of all intersections is F except traffic morr which provided a comparatively better level of services to the travelers of the town. The study has also identified the major problems associated with different road sections having poor level of services.
Traffic Congestion, Traffic Flow Analysis, Traffic Volume Survey, Pabna Town
To cite this article
Md. Tufajjal Hossain, Md. Kamrul Hasan, Assessment of Traffic Congestion by Traffic Flow Analysis in Pabna Town, American Journal of Traffic and Transportation Engineering. Vol. 4, No. 3, 2019, pp. 75-81. doi: 10.11648/j.ajtte.20190403.11
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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