Enhancing Highway Safety Through Intelligent Transportation System

The transportation industry has to deal with two major, ongoing problems: congestion andaccidents. These issues pose a serious risk to public safety and could cause fatalities or serious injuries. Thetransportation industry is predicted to undergo a revolutionary shift with the introduction of IntelligentTransportation Systems (ITS). This research uses a qualitative design to provide a thorough understanding of thefactors impacting highway safety and the effectiveness of Intelligent Transportation Systems (ITS). Semistructured interviews and focus groups with key stakeholders, including tech developers, user groups, andtransportation authorities, were conducted during the research. Thematic analysis of the responses wasperformed using NVivo Software. Key findings show that ITS shows promise in improving traffic flow, raisingdriver awareness and enabling effective emergency response. Nonetheless, key barriers still exist like datasecurity and infrastructure updates. In line with suggestions from earlier research, the study emphasizes thesignificance of stakeholder collaboration, public-private partnerships, and capacity building to optimize thepotential of ITS.

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Publication Details

Journal
The Eurasia Proceedings of Science Technology Engineering and Mathematics
Published
2025-08-15
DOI
https://doi.org/10.55549/epstem.1754663
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
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article

Enhancing Highway Safety Through Intelligent Transportation System

Mustafa Alas, Hillary MAKONISE
The Eurasia Proceedings of Science Technology Engineering and Mathematics
Traffic Prediction and Management Techniques
article

Enhancing Highway Safety Through Intelligent Transportation System

Mustafa Alas, Hillary MAKONISE
article en

Abstract

The transportation industry has to deal with two major, ongoing problems: congestion andaccidents. These issues pose a serious risk to public safety and could cause fatalities or serious injuries. Thetransportation industry is predicted to undergo a revolutionary shift with the introduction of IntelligentTransportation Systems (ITS). This research uses a qualitative design to provide a thorough understanding of thefactors impacting highway safety and the effectiveness of Intelligent Transportation Systems (ITS). Semistructured interviews and focus groups with key stakeholders, including tech developers, user groups, andtransportation authorities, were conducted during the research. Thematic analysis of the responses wasperformed using NVivo Software. Key findings show that ITS shows promise in improving traffic flow, raisingdriver awareness and enabling effective emergency response. Nonetheless, key barriers still exist like datasecurity and infrastructure updates. In line with suggestions from earlier research, the study emphasizes thesignificance of stakeholder collaboration, public-private partnerships, and capacity building to optimize thepotential of ITS.

The Eurasia Proceedings of Science Technology Engineering and MathematicsVol. 34
Near East University (CY)
Openalex Percentile: Top 78%
Traffic Prediction and Management Techniques
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Enhancing Highway Safety Through Intelligent Transportation System — Mustafa Alas, Hillary MAKONISE · The Eurasia Proceedings of Science Technology Engineering and Mathematics (2025) | TGRS Research Map | TGRS