Open Access

ARTICLE

Smart Dynamic Traffic Monitoring and Enforcement System

Youssef El-Hansali¹, Fatma Outay^2,*, Ansar Yasar¹, Siham Farrag^1,3, Muhammad Shoaib⁴, Muhammad Imran⁴, Hammad Hussain Awan⁵

1 Transportation Research Institute (IMOB), Universiteit Hasselt, Hasselt, 3590, Belgium
2 College of Technological Innovation, Zayed University, Dubai, 19282, UAE
3 Department of Civil Engineering, Middle East College (MEC), Muscat, 124, Oman
4 College of Computer and Information Sciences, King Saud University, Riyadh, 12372, Saudi Arabia
5 The University of Lahore (Islamabad Campus), Islamabad, 44000, Pakistan

* Corresponding Author: Fatma Outay. Email:

(This article belongs to this Special Issue: Machine Learning-based Secured and Privacy-preserved Smart City)

Computers, Materials & Continua 2021, 67(3), 2797-2806. https://doi.org/10.32604/cmc.2021.014812

Received 19 October 2020; Accepted 24 December 2020; Issue published 01 March 2021

Abstract

Enforcement of traffic rules and regulations involves a wide range of complex tasks, many of which demand the use of modern technologies. variable speed limits (VSL) control is to change the current speed limit according to the current traffic situation based on the observed traffic conditions. The aim of this study is to provide a simulation-based methodological framework to evaluate (VSL) as an effective Intelligent Transportation System (ITS) enforcement system. The focus of the study is on measuring the effectiveness of the dynamic traffic control strategy on traffic performance and safety considering various performance indicators such as total travel time, average delay, and average number of stops. United Arab Emirates (UAE) was selected as a case study to evaluate the effectiveness of this strategy. A micro simulation software package VISSIM with add-on module VisVAP is used to evaluate the impacts of VSL. It has been observed that VSL control strategy reduced the average delay time per vehicle to around 7%, travel time by 3.2%, and number of stops by 48.5%. Dynamic traffic control strategies also alleviated congestion by increasing the capacity of the bottleneck section and improving safety. Results of this study would act as a guidance for engineers and decision makers to new traffic control system implementation.

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Keywords

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