Improving the Smart Cities Traffic Management Systems using VANETs and IoT Features

Authors

A. A. Alhaj, Department of IT, School of Information Technology and Systems, The University of Jordan, Aqaba 77110, JordanFollow
N. I. Zanoon, Department of Applied Sciences, Al-Balqa Applied University, Aqaba 77110, JordanFollow
A. Alrabea, Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, Al-Salt, JordanFollow
H. I. Alnatsheh, Department of Applied Sciences, Al-Balqa Applied University, Aqaba 77110, JordanFollow
O. Jawabreh, Department of Hotel Management, School of Tourism and Hospitality, The University of Jordan, Aqaba 77110, JordanFollow
M. Abu-Fara, Department of Computer Information Systems, School of Information Technology and Systems, The University of Jordan, Aqaba 77110, JordanFollow

Author Country (or Countries)

Jordan

Abstract

This paper discusses the creation of an integrated worldwide system based on integrating and linking automobiles with VANET, IoT, and AI technologies, which will have a substantial impact on the smart, safe transportation system. This paper aims to apply a proposed project to a specific area in Jordan to examine the projects viability and its impact on reducing the accident rate by controlling traffic with special traffic rules in the study area using a cloud database that stores all the private information for each car and receives information about the cars speed as it travels. When a driver exceeds the speed established by the Traffic Department, he receives warning messages informing him that he has over the speed limit, and if he does not respond to the warning messages, he gets a fine. The research focuses on optimizing the utilization of VANET network services, which is crucial for enhancing public safety applications involving data exchange between automobiles and RSUs. The simulation was conducted using OMNeT++ version 5.7 on Debian 11, Linux 5, and GNOME 3 operating systems. As a network simulator, it is a scientifically approved open-source tool

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/120208

Recommended Citation

A. Alhaj, A.; I. Zanoon, N.; Alrabea, A.; I. Alnatsheh, H.; Jawabreh, O.; and Abu-Fara, M. (2023) "Improving the Smart Cities Traffic Management Systems using VANETs and IoT Features," Journal of Statistics Applications & Probability: Vol. 12: Iss. 2, Article 8.
DOI: http://dx.doi.org/10.18576/jsap/120208
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol12/iss2/8