IMPACT OF ROAD AND INTELLIGENT TRANSPORTATION INFRASTRUCTURE ON TRAFFIC SAFETY: NEW APPROACHES TO RISK CLASSIFICATION

The article presents a new approach to the classification and assessment of risks on suburban highways based on the multidimensional analysis of the Driver-Automobile-Road-Environment (DARS) system. The methodology of risk assessment using a comprehensive index (CRI), which takes into account the degree of impact of factors, types of interaction between system elements and components of the transportation system, is developed. Special attention is paid to the role of road infrastructure and the capabilities of intelligent transportation systems (ITS) in risk management. Innovative solutions to improve traffic safety are proposed, including the use of “smart” pavements, vehicular communication systems (V2X) and “road digital twin” technologies. It is shown that the complex introduction of modern technologies can reduce the number of traffic accidents by 20-30% within 5-10 years. The analysis of socioeconomic effects from the implementation of the proposed solutions is presented.

Authors

Institutions

Publication Details

Journal
Herald of Polotsk State University Series B Industry Applied Sciences
Published
2025-02-27
DOI
https://doi.org/10.52928/2070-1616-2025-51-1-39-48
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IMPACT OF ROAD AND INTELLIGENT TRANSPORTATION INFRASTRUCTURE ON TRAFFIC SAFETY: NEW APPROACHES TO RISK CLASSIFICATION

С. В. Богданович, Denis Kapski, M. BUROVA
Herald of Polotsk State University Series B Industry Applied Sciences
Traffic Prediction and Management Techniques
article

IMPACT OF ROAD AND INTELLIGENT TRANSPORTATION INFRASTRUCTURE ON TRAFFIC SAFETY: NEW APPROACHES TO RISK CLASSIFICATION

С. В. Богданович, Denis Kapski, M. BUROVA
article en

Abstract

The article presents a new approach to the classification and assessment of risks on suburban highways based on the multidimensional analysis of the Driver-Automobile-Road-Environment (DARS) system. The methodology of risk assessment using a comprehensive index (CRI), which takes into account the degree of impact of factors, types of interaction between system elements and components of the transportation system, is developed. Special attention is paid to the role of road infrastructure and the capabilities of intelligent transportation systems (ITS) in risk management. Innovative solutions to improve traffic safety are proposed, including the use of “smart” pavements, vehicular communication systems (V2X) and “road digital twin” technologies. It is shown that the complex introduction of modern technologies can reduce the number of traffic accidents by 20-30% within 5-10 years. The analysis of socioeconomic effects from the implementation of the proposed solutions is presented.

Herald of Polotsk State University Series B Industry Applied Sciences(1)
Belarusian National Technical University (BY)
Openalex Percentile: Top 96%
Traffic Prediction and Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

IMPACT OF ROAD AND INTELLIGENT TRANSPORTATION INFRASTRUCTURE ON TRAFFIC SAFETY: NEW APPROACHES TO RISK CLASSIFICATION — С. В. Богданович, Denis Kapski, et al. · Herald of Polotsk State University Series B Industry Applied Sciences (2025) | TGRS Research Map | TGRS