Traffic Flow Modeling of University Road Peshawar Using Simulation

Muhammad Mustafa Ibrahim¹ , Kamran Khan² , Rabia Atiq³

Section:Research Paper, Product Type: Journal-Paper
Vol.11 , Issue.3 , pp.36-44, Jun-2023

Online published on Jun 30, 2023

Copyright © Muhammad Mustafa Ibrahim, Kamran Khan, Rabia Atiq . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The city of Peshawar is facing a severe traffic problem due to the rapid increase in population and the inefficient public transport system. This study focuses on analyzing the main reasons for traffic congestion in Peshawar and proposes a solution through traffic simulation modeling. The lack of traffic signals, narrow roads, and lack of awareness about traffic laws contribute to the traffic jams. The study aims to develop a PTV VISSIM traffic simulation model and improve the transportation system to improve the traffic congestion problem. Data collection is conducted at different locations and times, including vehicle speed, types, and length. The findings will provide insights for better traffic management and infrastructure planning in Peshawar.

Key-Words / Index Term :
Simulation technique, Automobile oriented, VISSIM, Traffic Flow Modeling, Data Collection, Data Analysis.

References :
[1] Maitra, B, “Microsimulation based evaluation of Queue jump Lane at isolated urban intersections,” Journal of Transport Literature., Vol. 9, pp. 10-14, 2015.
[2] Zhang, X, Adamatzky, A and Yang, X.S, “A Physarum-inspired approach to supply chain network design,” Science China. Information Sciences., Vol. 59, pp. 1-14, 2016.
[3] Zhang, X, Chan, F.T.S and Adamatzky, “An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition,” International Journal of Production Research, Vol. 55, pp. 244-263, 2017.
[4] Ambarwatia, L, “An Empirical analysis of heterogeneous traffic flow,” Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 9, 2013.
[5] Rakha, H, “Systematic verification, validation and calibration of traffic simulation models,” Transportation Research Record, Vol. 1876, pp. 20-31, 1996.
[6] Gabriel, G, “A micro simulation model of congested freeway using VISSIM,” Transportation Research Record., Vol. 1876, 2004
[7] Abuamera, I.M and Celikglua, “Local ramp metering strategy ALINEA: microscopic simulation based evaluation study on Istanbul freeways,” Transportation Research Procedia., Vol. 22, pp. 598-606, 2017
[8] Arasan, V.T and Arkatkar, S.S, “Microsimulation study of vehicular interactions in heterogeneous traffic flow on intercity roads. ISTIEE,” pp. 60-86, 2011.
[9] Greenshields, B.D, Channing, W. and Miler, H.A, “A Study Of Traffic Capacity. In Highway research board proceedings,” National Research Council, pp. 448-477. 1935.
[10] Enrique Saldivar-Carranza, Jijo K. Mathew, Howell Li, Darcy M. Bullock, “Roundabout Performance Analysis Using Connected Vehicle Data,” Journal of Transportation Technologies, , Vol. 12, 2021
[11] Yu, L, “Calibration Of Platoon Dispersion Parameters On The Basis Of Link Travel Time Statistics,”, Journal of the Transportation Research Board, Vol. 1727, pp. 89-94, 2000.
[12] Barcelo, J, “Simulation Modelling Applied to Road Transport European Scheme Tests (SMARTEST),” IATSS Research, , Vol. 43, pp. 27-36, 2019.