Developing a Smart IoT based Traffic Management System

يوسف وجيه صباح | Yousef W. Sabbah, محمد شفيق أبو قرع | Mohammad Shafeeq Abu Qare’, نزار سليم بركات | Nizar Salim Barakat, جميل شحادة سيد | Jameel Shhadi Sayed, محمد فواز نجوان سالمية | Mohammad Fawaz Najwan Salmiyeh, يوسف داود سلامة | Yousef Dawood Salameh, صلاح رياض بدوان | Salah Rayyad Baddwan, أحمد محمود النجار | Ahmad Mhmouad Al-Najjar, ايهاب صلاح حمدان | Ihab Salah Hamdan


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.


Fines, IoT, Issuing e-Tickets, Smart City, Running a Red Light, Over-speeding, Track and Detect Offenses, Traffic Accident, Traffic Management System, Traffic Offense

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