Cover
Vol. 19 No. 2 (2025)

Published: December 31, 2025

Pages: 1-16

Research Article

Evaluation of Traffic Congestion Solutions in Peshawar Chowk Using AIMSUN Software

Abstract

The negative impacts of road traffic congestion in the Smart City environment are the subject of this study. Although the postponements are not entirely new, they are a well-known issue that affects a large portion of the worldwide population through pollution and postponements. In order to maintain flow and prevent traffic bottlenecks, there is a higher need for traffic management due to the growing urbanization and number of motorized motor vehicles. We use Peshawar Chowk, being one of Pakistan's most important urban and economic centers, it was chosen as a pilot research location. It is experiencing an uncontrolled phase of fast urbanization and motorization. The study first examines sustainable transportation systems to comprehend the idea of environmentally friendly transportation. The research then assesses to determine the most sustainable kind of transportation, considering Pakistan's current urban transportation and transportation infrastructure. Using AIMSUN software, the best option for a more environmentally friendly transportation system may be found. We do this by comparing the criteria and alternatives in pairs. A survey questionnaire is used to conduct this pair-wise comparison.

References

  1. A Naji, J. (2008). Assessment of Different Traffic Management Scenarios Using Microscopic Simulation: A Case Study. JES. Journal of Engineering Sciences, 36(6), 1347-1360.
  2. Aamir, M., Masroor, S., Ali, Z. A., & Ting, B. T. (2019). Sustainable framework for smart transportation system: A case study of Karachi. Wireless Personal Communications, 106, 27-40.
  3. Adebisi, O. (1987). Improving manual counts of turning traffic volumes at road junctions. Journal of transportation engineering, 113(3), 256-267.
  4. Ali, Z., Shah, D. A. A., & Hussain, A. (2020). Growing traffic in Peshawar: An analysis of causes and impacts. South Asian Studies, 27(2).
  5. Bibri, S. E., & Krogstie, J. (2020). The emerging data–driven Smart City and its innovative applied solutions for sustainability: The cases of London and Barcelona. Energy Informatics, 3(1), 5.
  6. El-Din, Hossam, and I S Ahmed. 2017. “CAR PARKING PROBLEM IN URBAN AREAS, CAUSES AND SOLUTIONS Towards A Better Quality of Life.”
  7. Farooq, D., & Akram, T. (2018). Traffic flow analysis and solutions to ease traffic flow at unsignalized taxila intersection. Periodica Polytechnica Transportation Engineering, 46(2), 101-107.
  8. Findley, D. J., Cunningham, C. M., & Hummer, J. E. (2011). Comparison of mobile and manual data collection for roadway components. Transportation Research Part C: Emerging Technologies, 19(3), 521-540.
  9. Gardezi, H., Ikrama, M., Usama, M., Iqbal, M., Jalal, F. E., Hussain, A., & Li, X. (2024). Predictive modeling of rutting depth in modified asphalt mixes using gene-expression programming (GEP): A sustainable use of RAP, fly ash, and plastic waste. Construction and Building Materials, 443, 137809.
  10. Guo, Y., Tang, Z., & Guo, J. (2020). Could a smart city ameliorate urban traffic congestion? A quasi-natural experiment based on a smart city pilot program in China. Sustainability, 12(6), 2291.
  11. Hardy, J. (2019). Smart City: a traffic signal control system for reducing the effects of traffic congestion in urban environments (Doctoral dissertation). University of Derby (United Kingdom).
  12. Hidas, P. (2005, January). Modelling individual behaviour in microsimulation models. In 28th Australian Transport Research Forum (ATRF). SYDNEY, NEW SOUTH WALES, AUSTRALIA (Vol. 28).
  13. Jan, B., Farman, H., Khan, M., Talha, M., & Din, I. U. (2019). Designing a smart transportation system: An internet of things and big data approach. IEEE Wireless Communications, 26(4), 73-79.
  14. Kesuma, P. A., Rohman, M. A., & Prastyanto, C. A. (2019, October). Risk analysis of traffic congestion due to problem in heavy vehicles: a concept. In IOP Conference Series: Materials Science and Engineering (Vol. 650, No. 1, p. 012011). IOP Publishing.
  15. Liu, R. (2010). Traffic Simulation with DRACULA. In: Barceló, J. (eds) Fundamentals of Traffic Simulation. International Series in Operations Research & Management Science, vol 145. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6142-6_8
  16. Mensah, J. (2019). Sustainable development: Meaning, history, principles, pillars, and implications for human action: Literature review. Cogent Social Sciences, 5(1). https://doi.org/10.1080/23311886.2019.1653531
  17. Morton, S., Pencheon, D., & Squires, N. (2017). Sustainable Development Goals (SDGs), and their implementation: A national global framework for health, development and equity needs a systems approach at every level. British medical bulletin, 124(1), 81-90.
  18. Moslem, S., & Duleba, S. (2019). Sustainable urban transport development by applying a fuzzy-AHP model: a case study from Mersin, Turkey. Urban Science, 3(2), 55.
  19. Pei, Y. L., Amekudzi, A. A., Meyer, M. D., Barrella, E. M., & Ross, C. L. (2010). Performance measurement frameworks and development of effective sustainable transport strategies and indicators. Transportation research record, 2163(1), 73-80.
  20. Peñaranda, C., Agüero, J., Carrascosa, C., Rebollo, M., & Julián, V. (2016). An Agent-Based Approach for a Smart Transport System. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal. Salamanca, 5(2).
  21. Prakash, P., Bandyopadhyaya, R., & Sinha, S. (2020). Study of effect of on-street parking on traffic capacity. In Transportation Research: Proceedings of CTRG 2017 (pp. 409-417). Springer Singapore.
  22. Raza, A., Ali, M. U., Ullah, U., Fayaz, M., Alvi, M. J., Kallu, K. D., ... & Nengroo, S. H. (2022). Evaluation of a sustainable urban transportation system in terms of traffic congestion—A case study in Taxila, Pakistan. Sustainability, 14(19), 12325.
  23. Saikar, A., Parulekar, M., Badve, A., Thakkar, S., & Deshmukh, A. (2017, February). TrafficIntel: Smart traffic management for smart cities. In 2017 International Conference on Emerging Trends & Innovation in ICT (ICEI) (pp. 46-50). IEEE.
  24. Schmale, J., Von Schneidemesser, E., & Dörrie, A. (2015). An integrated assessment method for sustainable transport system planning in a middle sized German city. Sustainability, 7(2), 1329-1354.
  25. Shen, T., Hong, Y., Thompson, M. M., Liu, J., Huo, X., & Wu, L. (2020). How does parking availability interplay with the land use and affect traffic congestion in urban areas? The case study of Xi’an, China. Sustainable Cities and Society, 57, 102126.
  26. Thondoo, M., Marquet, O., Marquez, S., & Nieuwenhuijsen, M. J. (2020). Small cities, big needs: Urban transport planning in cities of developing countries. Journal of Transport & Health, 19, 100944.
  27. Ullah, U., Usama, M., Abbas, M., & Muhammad, Z. (2024). Revitalizing Urban Mobility: A Comprehensive Analysis of Traffic Flow and Sustainable Solutions at the Un-signalized Taxila Intersection. Iraqi Journal of Information and Communication Technology, 7(1), 61-74.
  28. United Nations. (2021). Sustainable Transport, Sustainable Development: Interagency Report| Second Global Sustainable Transport Conference. United Nations Publications.
  29. UNO - United Nations. 2018. The 2030 Agenda and the Sustainable Development Goals An Opportunity for Latin America and the Caribbean Thank You for Your Interest in This ECLAC Publication.
  30. Usama, M., Gardezi, H., Jalal, F. E., Rehman, M. A., Javed, N., Janjua, S., & Iqbal, M. (2023). Predictive modelling of compression strength of waste GP/FA blended expansive soils using multi-expression programming. Construction and Building Materials, 392, 131956.
  31. Usama, M., Ullah, U., & Sajid, A. (2024). Cyber attacks against intelligent transportation systems. In Cyber Security for Next-Generation Computing Technologies (pp. 190-230). CRC Press.
  32. Usama, M., Ullah, U., Muhammad, Z., Bux, M., Ullah, I., Rouf, M., & Islam, T. (2024). Data traffic management in AI-IoT network to reduce congestion. In Artificial Intelligence for Intelligent Systems (pp. 145-189). CRC Press.
  33. Vilarinho, C., Soares, G., Macedo, J., Tavares, J. P., & Rossetti, R. J. (2014). Capability-enhanced AIMSUN with real-time signal timing control. Procedia-Social and Behavioral Sciences, 111, 262-271.
  34. Zapolskytė, S., Burinskienė, M., & Trépanier, M. (2020). Evaluation criteria of smart city mobility system using MCDM method. The Baltic journal of road and bridge engineering, 15(4), 196-224.
  35. Zhai, Y., Wan, Y., & Wang, X. (2022). Optimization of Traffic Congestion Management in Smart Cities under Bidirectional Long and Short‐Term Memory Model. Journal of Advanced Transportation, 2022(1), 3305400.
  36. Zheng, P., & Mike, M. (2012). An investigation on the manual traffic count accuracy. Procedia-Social and Behavioral Sciences, 43, 226-231.
  37. Zhenmin, Liu. 2021. “SUSTAINABLE TRANSPORT , SUSTAINABLE DEVELOPMENT Introduction : The Importance of Sustainable Transport for the 2030 Agenda and the Paris Agreement.”