Article

Received 12.02.2024

Revised 17.04.2024

Accepted 29.06.2024

Retrieved from Vol. 28, No. 1 2024

Pages 133 -141

Polishchuk, V., Nahrebelna, L., Vyhovska, V., & Popov, S. (2024). Application of energy principles to road safety assessment. The National Transport University Bulletin, 28(1), 133-141. https://doi.org/ 10.33744/2308-6645-2024-1-58-133-141

Application of energy principles to road safety assessment

Volodymyr Polishchuk Liudmyla Nahrebelna Inna Vyhovska Stanislav Popov

In the contemporary realm of traffic management, achieving a balance between enhancing road traffic efficiency and ensuring safety remains paramount. This delicate equilibrium is influenced by the interplay between road conditions, traffic flows, and environmental factors. The object of the study – patterns of safety in the movement of traffic vehicle. Purpose of the study – establishing the relationship between the acceleration index and the safety coefficient of traffic, and their impact on traffic safety. Methods of the study – regression analysis of traffic safety methods and vehicle acceleration noise has been conducted. The optimization of traffic management systems must not only prioritize safety and service quality but also maximize the utilization of road capacities while minimizing environmental impact. A crucial challenge lies in the prediction and prevention of potential conflicts and road accidents through continuous monitoring of relevant traffic characteristics, especially in the context of automated traffic management systems. However, the absence of adequate recommendations for specifying monitoring parameters and realtime informative criteria poses a significant hurdle. This study explores the concept of a composite criterion to harmonize diverse demands on road conditions. Specifically, it investigates the relationship between the safety coefficient (Ka) and the uniformity coefficient (Kb) as indicators of traffic flow stability and safety. While initial regression analysis suggested no significant correlation, further examination with spatial shifts in data pairs revealed a substantial association, thereby supporting the hypothesis of interdependence between Kb and Ka. The findings offer insights into substituting these indicators based on specific operational requirements, facilitating more informed decision-making in traffic management. Overall, this integrated approach underscores the complexity of balancing safety and efficiency in road traffic management and provides a methodological framework for addressing these challenges effectively

traffic management; road safety; safety factor; regression analysis; conflict forecasting; road accident prevention
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https://doi.org/ 10.33744/2308-6645-2024-1-58-133-141