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Received 14.02.2025

Revised 31.05.2025

Accepted 24.06.2025

Retrieved from Iss. 117, P. 2, 2025

Pages 97 -105

  • 256 Views

Suggested citation

Myshkovets, S., & Savenko, V. (2025). METHODS FOR ASSESSING ROAD CONDITIONS ON HIGHWAYS TO IMPROVE TRAFFIC SAFETY. Automobile Roads and Road Construction, (117.2), 97-105. https://doi.org/10.33744/0365-8171-2025-117.2-097-105

METHODS FOR ASSESSING ROAD CONDITIONS ON HIGHWAYS TO IMPROVE TRAFFIC SAFETY

Serhii Myshkovets Vyacheslav Savenko

Abstract

Road traffic is a key factor in modern transportation systems and a country’s economy. Traffic safety remains one of the main challenges in many countries. Assessing road conditions is an essential element for reducing accident rates and improving the efficiency of traffic flows. Modern methods for evaluating road conditions include both traditional inspections and digital technologies. The use of artificial intelligence allows for predicting risks and identifying accident-prone areas. Mobile applications enable citizens to promptly report road issues. Intelligent transportation systems integrate data from various sources to optimize traffic. This article analyzes international practices for assessing road conditions, particularly in European and North American countries. A comparison is made with practices in Ukraine, where digital platforms and monitoring systems are gradually being implemented. The regulatory framework and methods of road audits in Ukraine are examined. The advantages of using predictive models for assessing pavement and road infrastructure conditions are identified. An overview of tools for risk analysis and planning measures to enhance traffic safety is provided. The effectiveness of integrating international experience into national practice is evaluated. It has been established that the use of digital technologies reduces response time to emergency situations. The impact of road conditions on traffic intensity and accident frequency is analyzed. Prospects for developing road condition assessment methods using big data are outlined. Assessing road conditions forms the basis for planning repairs and modernizing transportation infrastructure. The role of cooperation between government agencies and the private sector in improving traffic safety is highlighted. The importance of training and upgrading the qualifications of road inspectors is emphasized. The article demonstrates that a systematic approach to assessing road conditions contributes to significantly reducing road risks and enhancing overall traffic safety

Keywords:

road condition assessment, traffic safety, international experience, Ukraine, artificial intelligence, mobile applications, innovative technologies, road monitoring

References

  1. Aimsun. (2023). Aimsun Live: Real-time traffic forecasting. Retrieved from https://www.aimsun.com/aimsun-live/.
  2. Pavement Condition Index. (2023). Methodology for assessing quality of bitumen road. Retrieved from https://en.wikipedia.org/wiki/Pavement_condition_index.
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  5. Global Road Safety Facility. (2023). Practical guide for road safety auditors and inspectors in Ukraine. Retrieved from https://www.globalroadsafetyfacility.org/sites/default/files/2023-10/Practical%20Guide%20for%20Road%20Safety%20Auditors%20and%20Inspectors%20in%20Ukraine.pdf.
  6. International Road Assessment Programme. (2023). iRAP: Road safety audits and inspections. Retrieved from https://irap.org/.
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  9. Bhatt, U., Mani, S., Xi, E., & Kolter, J.Z. (2017). Intelligent pothole detection and road condition assessment. arXiv. doi: 10.48550/arXiv.1710.02595.
  10. Karamanlis, I., Kokkalis, A., Profillidis, V., Botzoris, G., Kiourt, C., Sevetlidis, V., & Pavlidis, G. (2023). Deep learning based black spot identification on Greek road networks. arXiv. doi: 10.3390/data8060110.
  11. State Agency of Automobile Roads of Ukraine. (2022). Methodological recommendations for assessing the condition of roads. Kyiv: State Agency of Automobile Roads of Ukraine.
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  14. World Bank. (2022). Road safety and digital technologies. Washington, DC: World Bank.
  15. United Nations Development Programme in Ukraine. (2022). Use of mobile applications for monitoring road conditions. Kyiv: United Nations Development Programme in Ukraine.
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https://doi.org/10.33744/0365-8171-2025-117.2-097-105

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