Erbil Public Transportation Tracking: An IoT-based Solution for Urban Mobility Enhancement

Authors

DOI:

https://doi.org/10.23918/eajse.v10i3p11

Keywords:

Public Transportation Tracking, Information systems, Internet of Things (IoT), Machine Learning, IT, Urban Mobility in Erbil

Abstract

Erbil, the capital of the Kurdistan Region of Iraq, is expanding and accommodating more residents. These changes require a better public transportation system. To address this issue, this paper presents the "Erbil Public Transportation Tracking" system. The system employs IoT and machine learning to create a real-time tracking solution for Erbil's public transport requirements in the form of a mobile app. The presented app is based on Flutter and uses GIS and machine learning to provide real-time data and predictive guidance regarding bus and minibus routes and schedules in the city of Erbil. The app uses machine learning algorithms to predict delays, suggest the best routes, and personalize the commuter experience. The results indicate that 70% of the respondents use public transportation, and 86% of the surveyed commuters showed a willingness to adopt the presented system to help them make better-informed decisions about their routes and daily commutes.

Author Biographies

  • Mohammad Salim, Information Technology Department, Faculty of Applied Science, Tishk International University, Erbil, Iraq

      

  • Mohamed Tahir Shoani, Computer Engineering Department, College of Engineering and Computer Science, Lebanese French University, Erbil, Iraq

    Dr. Mohamed Shoani was born in 1968. He received his B.Sc. in Computer Engineering from the University of Technology in Baghdad-Iraq in 1991, and an M.Eng. degree in Electrical Engineering – Mechatronics from Universiti Teknologi Malaysia in 2015 for his work on developing a security robot. Dr. Shoani completed his PhD degree at Universiti Tun Hussein Onn Malaysia on August 2023 for his work on “A Fixed Length Single Segment Soft Continuum Manipulator for Multi-Environmental Inspection”. Dr. Shoani is currently affiliated with the Lebanese French University in Erbil-Iraq, at the Department of Computer Engineering.

References

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Published

2025-03-25

Issue

Vol. 10 No. 3 (2024)

Section

Articles

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Copyright (c) 2025 Mohammad Salim, Mohamed Tahir Shoani

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Eurasian J. Sci. Eng is distributed under the terms of the Creative Commons Attribution License 4.0 (CC BY-4.0) https://creativecommons.org/licenses/by/4.0/

How to Cite

Salim, M., & Shoani, M. T. (2025). Erbil Public Transportation Tracking: An IoT-based Solution for Urban Mobility Enhancement. EURASIAN JOURNAL OF SCIENCE AND ENGINEERING, 10(3), 113-124. https://doi.org/10.23918/eajse.v10i3p11

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