Evaluation of a Sustainable Urban Transportation System in Terms of Traffic Congestion—A Case Study in Taxila, Pakistan

Arsalan Raza, Muhammad Umair Ali, Ubaid Ullah, Muhammad Fayaz, Muhammad Junaid Alvi, Karam Dad Kallu, Amad Zafar () and Sarvar Hussain Nengroo
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Arsalan Raza: Department of Civil Engineering, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan
Muhammad Umair Ali: Department of Unmanned Vehicle Engineering, Sejong University, Seoul 05006, Korea
Ubaid Ullah: Department of Civil Engineering, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan
Muhammad Fayaz: Department of Civil Engineering, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan
Muhammad Junaid Alvi: Department of Electrical Engineering, NFC Institute of Engineering and Fertilizer Research, Faisalabad 38090, Pakistan
Karam Dad Kallu: Department of Robotics & Artificial Intelligence (R&AI), School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST) H−12, Islamabad 44000, Pakistan
Amad Zafar: Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea
Sarvar Hussain Nengroo: Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Korea

Sustainability, 2022, vol. 14, issue 19, 1-25

Abstract: Traffic delays are not wholly new and are a well-known problem that impacts many of the world’s populations through disruptions and pollution. The rising urbanization and quantity of powered road vehicles necessitate a greater traffic control demand to maintain flow and avoid jams. In order to understand the notion of sustainable transportation, this study first examined sustainable transportation systems. This research then assessed Pakistan’s present transportation infrastructure and urban transportation to find the most reasonable and sustainable alternative to reduce congestion. The Taxila intersection was utilized as a pilot study area because of its vicinity to Pakistan’s leading economic hubs (i.e., industrial estates and the twin cities of Islamabad and Rawalpindi). The study used multi-criteria decision making (MCDM) techniques, including the fuzzy AHP, TOPSIS, VIKOR, and traffic simulation software, to determine the optimal solution for a more sustainable transportation system, and reducing traffic congestion. A pairwise comparison of the criteria and alternatives was made using a survey. This survey was used to look into the perspectives of various stakeholders and experts. The outcomes of the fuzzy AHP-TOPSIS and fuzzy AHP-VIKOR revealed that a flyover is the best alternative. In contrast, the best alternative, according to the software was a parking area. Ultimately, we assessed our results using the literature, and site observation, and concluded that a parking area would be the most sustainable alternative in the Taxila intersection.

Keywords: MCDM; congestion; fuzzy AHP; fuzzy TOPSIS; fuzzy VIKOR; traffic simulation; AIMSUN (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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