A Review of Techniques, Indicators and Devices for Traffic Congestion Monitoring

Road transport undeniably constitutes the predominant mechanism for facilitating the transportation of both goods and individuals on a global scale, serving as an essential backbone for economic and social interactions across diverse regions and cultures. The noticeable decrease in the flow of vehicles, which can be attributed to a plethora of internal and external factors, with a particular emphasis on the phenomenon of congestion, has profound implications that significantly influence fuel consumption rates, contribute to pollution associated with emissions, adversely affect the health and well-being of bystanders, and culminate in a considerable loss of time for individuals navigating these congested environments. In light of their elevated population densities coupled with their classification as emerging economies, South Asian countries find themselves necessitated to implement automated systems for the critical processes of predicting, identifying, and effectively addressing the challenges posed by road traffic congestion in order to enhance urban mobility and overall transport efficiency. This thorough research carefully explores the various techniques that have been utilized to recognize traffic congestion, presenting an extensive assessment of their individual strengths and weaknesses, thus offering insightful observations about the existing situation in this field of study. The examination of the diverse approaches and advanced technologies that have been utilized for the operation of lane-less roadways have been conducted, revealing substantial potential for further innovations that could greatly assist future researchers in their endeavors to enhance traffic management and improve roadway safety and efficiency.

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Publication Details

Journal
Al-Nahrain Journal for Engineering Sciences
Published
2025-12-20
DOI
https://doi.org/10.29194/njes.28040622
Primary Topic
Traffic Prediction and Management Techniques
Type
article
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article

A Review of Techniques, Indicators and Devices for Traffic Congestion Monitoring

Shahad mahmood Khalil, Hasan Al-Mosawe, Hamid A. Awad
Al-Nahrain Journal for Engineering Sciences
Traffic Prediction and Management Techniques
article

A Review of Techniques, Indicators and Devices for Traffic Congestion Monitoring

Shahad mahmood Khalil, Hasan Al-Mosawe, Hamid A. Awad
article en

Abstract

Road transport undeniably constitutes the predominant mechanism for facilitating the transportation of both goods and individuals on a global scale, serving as an essential backbone for economic and social interactions across diverse regions and cultures. The noticeable decrease in the flow of vehicles, which can be attributed to a plethora of internal and external factors, with a particular emphasis on the phenomenon of congestion, has profound implications that significantly influence fuel consumption rates, contribute to pollution associated with emissions, adversely affect the health and well-being of bystanders, and culminate in a considerable loss of time for individuals navigating these congested environments. In light of their elevated population densities coupled with their classification as emerging economies, South Asian countries find themselves necessitated to implement automated systems for the critical processes of predicting, identifying, and effectively addressing the challenges posed by road traffic congestion in order to enhance urban mobility and overall transport efficiency. This thorough research carefully explores the various techniques that have been utilized to recognize traffic congestion, presenting an extensive assessment of their individual strengths and weaknesses, thus offering insightful observations about the existing situation in this field of study. The examination of the diverse approaches and advanced technologies that have been utilized for the operation of lane-less roadways have been conducted, revealing substantial potential for further innovations that could greatly assist future researchers in their endeavors to enhance traffic management and improve roadway safety and efficiency.

Al-Nahrain Journal for Engineering SciencesVol. 28(4)
University of Anbar (IQ), Nahrain University (IQ)
Sustainable cities and communities
Openalex Percentile: Top 38%
Traffic Prediction and Management Techniques
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A Review of Techniques, Indicators and Devices for Traffic Congestion Monitoring — Shahad mahmood Khalil, Hasan Al-Mosawe, et al. · Al-Nahrain Journal for Engineering Sciences (2025) | TGRS Research Map | TGRS