The Simulation and Prototyping of a Density-Based Smart Traffic Control System for Learning Purposes

Mashael Khayyat, Omar Aboulola, Nahla aljojo, Basma Alharbi, Nada Almalki, Maysoon Al-zahrani, Tasneem Al-ghamdi, Lama Al-qarni


 With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.


Traffic congestion; traffic lights monitoring; IoT; Arduino; Road Sensors; Proteus simula-tion.

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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