Developing a Smart IoT based Traffic Management System
This research paper emerged from the urgent need to address traffic offenses and the accompanying accidents and reduce traffic congestion by developing a smart traffic management system (STMS). The proposed system serves the competent authorities (e.g., the traffic department and the traffic police) in traffic control to reduce traffic offenses and accidents and preserve properties and lives. As such, the system will target drivers, regardless of the type of vehicle they drive. The system handles three major offenses: Running a red light, over-speeding, and parking in a prohibited space.
The system consists of two main parts, a hardware that consists of controllers and sensors to track offenses as soon as they occur and a web application that records these offenses. It comprises the hardware and software components to issue e-tickets to be sent to offenders in short messages specifying the time, type, and fine of each offense ticket to prevent them from recommitting offenses. It also provides a congestion control model at traffic signals on road junctions. In the system analysis phase, data collection was conducted using two instruments, a questionnaire as a quantitative instrument, which was analyzed using the statistical package for the social sciences (SPSS), and personal interviews as a qualitative instrument, which was analyzed through thematic coding and content analysis to classify themes and subthemes. In the development phase, a prototype was developed and tested for running the red light offenses, and the results were generalized to the other types of offenses because they are built on the same basis.
The obstacles and challenges were identified, and recommendations were set on the ways to overcome these offenses by involving the targeted drivers and the community in the development process to raise awareness in this regard. In addition, the proposed system can serve the community by providing a transparent system, and at the same time, increasing the government income and reducing the risk of traffic accidents resulting from offenses.
Abdulmunem, Z. (2015, December 18). Scientists Develop Smart Traffic Signals that Appear on Vehicle’s Windshield. Seventh Day Newspaper. Retrieved from https://tinyurl.com/yb5rnapj.
Abigail Beall (2018). In China, Alibaba’s data-hungry AI is controlling (and watching) cities. WiredUK News & Media Website.
Abu Ahmed, K. A. (2003). Design and Engineering Planning for Urban and Local Roads. First Edition, Al-Rateb House Publishers.
Alkhatib, M. (2013, May 15). Middle East Newspaper. Retrieved 2020, December 14 from https://aawsat.com/home/article/470
Anati, T. (2016). Traffic Engineering Manual. Palestinian Ministry of Transportation.
Angeline, M. N., Aswini, B., Devadharshini, U., Gousalya, S., & Aravind, M. (2018). Development of Digital Traffic Anti-Violation System. 2(2), 563–570.
Bharani, & Sinha, S. (2020). Introduction to Internet of Things. Retrieved 2021, February 21 from blogs https://www.edureka.co/blog/what-is-iot.
Das, A., Dash, P., & Mishra, B. K. (2018). An innovation model for smart traffic management system using Internet of things (IoT). Cognitive Computing for Big Data Systems over IoT (pp. 355-370). Springer, Cham.
Entrepreneur Stories. (2014, August 16). Two students from QOU developed a system to control traffic lights in emergencies. The Economist (Aliqtisadi.ps). Retrieved 2020, December 14 from https://tinyurl.com/ybbxm5v8.
Hafez, M. (2014, February 18). Automatic Opening of Signals for Ambulance and Civil Defense. Raya Newspaper. Retrieved from https://tinyurl.com/yayhebx3.
Husni, I. (2015, April 02). An Advanced, Smart System for Managing Traffic Lights. Seventh Day Newspaper. Retrieved from https://tinyurl.com/yau8qet3.
Hussein, A. (2014, May 30). Intelligence Reaches Traffic Signals. Alkhaleej Newspaper, Alhayat.com. Retrieved from https://tinyurl.com/y8o2lef4.
Inventor of Saher System. (2015, March). Thaqafa Online. Retrieved 2020, December 14 from http://www.thaqafaonline.com/2015/03/blog-post_89.html
Janahan, S. K., Veeramanickam, M. R. M., Arun, S., Narayanan, K., Anandan, R., & Javed, S. (2018). IoT based smart traffic signal monitoring system using vehicles counts. International Journal of Engineering and Technology, 7(221), 309.
Javaid, S., Sufian, A., Pervaiz, S., & Tanveer, M. (2018). Smart traffic management system using Internet of Things. The 20th International Conference on Advanced Communication Technology (ICACT) (pp. 393-398). IEEE.
Jeddi, S. E., Hassouna, A., Shahin, M., & Mir, M. (2016). Design and Implementation of an Over-Speed Monitoring and Recording System. (February), 1–6.
Jichkar, N., Deulkar, A., Thakare, A., Bolakhe, S., & Vaidya, S. (2019). A Novel Approach for Automated E-challan Generation using QR Code and OCR. (3).
Ministry of Transportation (2020). Annual Statistical Report 2019. Ramallah, Palestine. Retrieved 2021, February 20 from http://www.mot.gov.ps/statistics-2/
Muthuramalingam, S., Bharathi, A., Gayathri, N., Sathiyaraj, R., & Balamurugan, B. (2019). IoT based intelligent transportation system (IoT-ITS) for global perspective: a case study. In Internet of Things and Big Data Analytics for Smart Generation (pp. 279-300). Springer, Cham.
Palmer, S. D., & Aharoni, O. N. (2013). ( 12 ) Patent Application Publication ( 10 ) Pub . No .: US 2013 / 0344194A1. 1(19), 2–6.
Rath, M. (2018, June). Smart Traffic Management System for Traffic Control using Automated Mechanical and Electronic Devices. IOP Conference Series: Materials Science and Engineering (Vol. 377, No. 1, p. 012201). IOP Publishing.
Sadhukhan, P., & Gazi, F. (2018, February). An IoT based intelligent traffic congestion control system for road crossings. In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT) (pp. 371-375). IEEE.
Saher System. (2020, November 24). Wikipedia. Retrieved from https://tinyurl.com/ycq9kdx8.
Saifuzzaman, M., Moon, N. N., & Nur, F. N. (2017, December). IoT based street lighting and traffic management system. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 121-124). IEEE.
Sharif, A., Li, J., Khalil, M., Kumar, R., Sharif, M. I., & Sharif, A. (2017). Internet of Things: Smart traffic management system for smart cities using big data analytics. The 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 281-284). IEEE.
Shasha News. (2014, May 27). Thousands of Traffic Offenses and the Deterrent is absent. Retrieved 2020, December 14 from https://www.shasha.ps/news/105027.html.
Singh, A., Alok, P., Manav, Y., & Kandari, R. (2019). Density Based Traffic Controller with Defaulter Identification using IoT. (June), 2069–2074.
Smart Traffic Lights Communicate with Cars to Reduce Traffic. (2017, May 18). Manar TV. Retrieved 2020, December 14 from http://almanar.com.lb/2046867.
Varun Chand, H., & Karthikeyan, J. (2018). Survey on the role of IoT in intelligent transportation system. Indonesian Journal of Electrical Engineering and Computer Science, 11(3), 936–941. https://doi.org/10.11591/ijeecs.v11.i3.pp936-941
Yi, D. (2017, October 19). City Brain: an Intelligent System to Address Traffic Problems. People Newspaper. Retrieved from http://arabic.people.com.cn/n3/2017/1019/c31657-9282180.html.
Yigitcanlar, T., Han, H., & Kamruzzaman, M. L. (Eds.). (2020). Approaches, Advances and Applications in Sustainable Development of Smart Cities. MDPI.
Yogheshwaran, M., Praveenkumar, D., Pravin, S., Manikandan, P. M., & Saravanan, D. S. (2020). IoT Based Intelligent Traffic Control System. International Journal of Engineering Technology Research & Management, 4(4), 59-63.
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