THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ROAD TRAFFIC MANAGEMENT AND ITS SAFETY IMPROVEMENT

Artificial intelligence (AI) is used in many aspects of life, from personal voice assistants to product recommendations in online stores to advanced diagnostic systems in medicine. All these applications show how AI technology is becoming an increasingly integral part of everyday life. Understanding the basics of AI is key to recognizing its role in traffic management. AI can be used to monitor and control road traffic, prevent traffic jams and road crashes, support vehicle diagnostics, and optimize response times for emergency services and roadside assistance. Particular attention should be paid to reducing the number of fatal road crashes. This goal is to be achieved by integrating AI with autonomous vehicle technology, which should improve or even reduce the number of road accident victims to 0.

Authors

Publication Details

Journal
Transport Problems
Published
2024-12-01
DOI
https://doi.org/10.20858/tp.2024.19.4.01
Citations
1
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.27
Controls
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article

THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ROAD TRAFFIC MANAGEMENT AND ITS SAFETY IMPROVEMENT

Bartosz Kozicki, Aleksandra Skrabacz, Magdalena Bsoul-Kopowska
1 citations
Transport Problems
Traffic Prediction and Management Techniques
0.27
article

THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN ROAD TRAFFIC MANAGEMENT AND ITS SAFETY IMPROVEMENT

Bartosz Kozicki, Aleksandra Skrabacz, Magdalena Bsoul-Kopowska
article en
1 citations

Abstract

Artificial intelligence (AI) is used in many aspects of life, from personal voice assistants to product recommendations in online stores to advanced diagnostic systems in medicine. All these applications show how AI technology is becoming an increasingly integral part of everyday life. Understanding the basics of AI is key to recognizing its role in traffic management. AI can be used to monitor and control road traffic, prevent traffic jams and road crashes, support vehicle diagnostics, and optimize response times for emergency services and roadside assistance. Particular attention should be paid to reducing the number of fatal road crashes. This goal is to be achieved by integrating AI with autonomous vehicle technology, which should improve or even reduce the number of road accident victims to 0.

Transport ProblemsVol. 19(4)
Good health and well-being
Openalex Percentile: Top 40%
Traffic Prediction and Management Techniques
0.27
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