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

Authors

  • Mashael Khayyat Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.
  • Omar Aboulola Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.
  • Nahla aljojo Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.
  • Basma Alharbi Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.
  • Nada Almalki Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.
  • Maysoon Al-zahrani Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.
  • Tasneem Al-ghamdi Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.
  • Lama Al-qarni Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

DOI:

https://doi.org/10.3991/ijoe.v16i12.16849

Keywords:

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

Abstract


 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.

Author Biographies

Mashael Khayyat, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

MASHAEL Khayat has been  the supervisor of the Department of Computer and Network Engineering and an assistant professor in the Information Systems and Technology Department at the College of Computer Science and  Engineering at  Jeddah University since  2017.  Prior to that, she worked at King Abdul-Aziz university as an assistant professor in the Information Systems Department. She  graduated with  honors with a Bachelor of Computer Science in 2004 from King Abdul-Aziz University. She  later earned a Master of Applied Information systems (AIS) from the Arab Academy for Science and Technology and Maritime Transport, in  Alexandria, Egypt.  She  received her second Master’s degree in Technology Management (MTM) from the University of  New South Wales (UNSW), Sydney, Australia. In 2017, Dr. Khayyat was granted a Ph.D.  degree in Computer Science and Statistics from  Trinity  College Dublin (TCD), Dublin, Ireland. Dr. Khayyat has received international and distinguished research grants from the University of Jeddah. Her research interests in Engineering, Visualization, Augmented Reality, Technology Management, and Open Government data.

Omar Aboulola, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

Omar. I. Aboulola is an Assistant Professor at the Information Systems and Technology Department, College of Computer Science and Engineering (CCSE), University of Jeddah. He obtained his bachelor's degree in Science in Computer Science from KAU back in 2001. In 2009, He earned his master's degree in Information Science from the University of Indiana, Bloomington, USA. His master thesis was related to the technology of banking. Dr. Aboulola received his Ph.D. in Information Systems and Technology, from Claremont Graduate University (CGU), USA, 2018. His Ph.D. dissertation aimed to design an innovative assistive technology to Help retail companies to predict optimum locations for their businesses. Dr. Aboulola has some publications in disciplinary fields of GIS, Persuasive Technology, and Design Science Research. 

 

Nahla aljojo, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

Nahla aljojo obtained her PhD in Computing at Portsmouth University. She was Associate Professor at Faculty of Computing and Information Technology Information System Department – King AbdulAziz University, Jeddah, Saudi Arabia. She is working currently as Associate Professor at College of Computer science and Engineering, Information system and Information Technology Department, University of Jeddah, Jeddah, Saudi Arabia. Her research interests include adaptivity in web-based Educational Systems, E-business, leadership’s studies, information security and Data Integrity, E-Learning, Education, and Machine Learning (e-mail: nmaljojo@uj.edu.sa)

Basma Alharbi, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

Basma Alharbi received a B.Sc. degree in Computer Science from Effat University, Jeddah, Saudi Arabia in 2008, and a M.Sc. degree in Computer Science from Durham University, Durham, the United Kingdom in 2009. She received her Ph.D. degree in Computer Science from KingAbdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia in 2017. Dr. Alharbi is currently an assistant professor at the Computer Science and AI department, in the College of Computer Science and Engineering, at the University of Jeddah, Jeddah, Saudi Arabia. Her research interests include machine learning and its applications, representation learning and knowledge discovery (e-mail: bmalharbi@uj.edu.sa).

Nada Almalki, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

Nada Almalki graduated in 2020 with a Bachelor of Information systems and Technology, from the College of Computer Science and Engineering at the University of Jeddah, Jeddah, Saudi Arabia (e-mail: Salem.nada@hotmail.com).

Maysoon Al-zahrani, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

Maysoon Al-zahrani graduated in 2020 with a Bachelor of Information systems and Technology, from the College of Computer Science and Engineering at the University of Jeddah, Jeddah, Saudi Arabia (e-mail: mmamjartist@gmail.com ).

Tasneem Al-ghamdi, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

Tasneem Al-ghamdi graduated in 2020 with a Bachelor of Information systems and Technology, from the College of Computer Science and Engineering at the University of Jeddah, Jeddah, Saudi Arabia (e-mail: T.ali4@yahoo.com).

Lama Al-qarni, Department of Information Systems and Technology, College of Computer Science and Engineering University of Jeddah, Jeddah, Saudi Arabia.

Lama Al-qarni graduated in 2020 with a Bachelor of Information systems and Technology, from the College of Computer Science and Engineering at the University of Jeddah, Jeddah, Saudi Arabia.(email: Lama-algarni@hotmail.com).

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Published

2020-10-19

How to Cite

Khayyat, M., Aboulola, O., aljojo, N., Alharbi, B., Almalki, N., Al-zahrani, M., … Al-qarni, L. (2020). The Simulation and Prototyping of a Density-Based Smart Traffic Control System for Learning Purposes. International Journal of Online and Biomedical Engineering (iJOE), 16(12), pp. 70–81. https://doi.org/10.3991/ijoe.v16i12.16849

Issue

Vol. 16 No. 12 (2020)

Section

Papers