DIFFERENTIAL METHOD FOR ASSESSING THE EVENNESS OF THE ROAD SURFACE OF THE STREET AND ROAD NETWORK BY THE IRI INDEX

The article investigates the use of the IRI index to assess the condition of the pavement of streets of different types within a settlement: main city and district roads, residential and industrial. The possibility of applying a differential system for assessing the evenness of the road surface is considered, which makes it possible to more accurately determine its condition in five gradations – from excellent to critical. Based on the results, a map of the district was built, which clearly demonstrates the distribution of the technical condition of its street and road network. This allowed us to identify problem areas, which will make it easier to optimize the planning of repair work and ensure efficient use of resources. The research provides a more comprehensive understanding of the factors contributing to pavement deterioration. Furthermore, the use of modern technologies, such as GIS systems and remote sensing data, facilitated the development of a dynamic model for monitoring road conditions in real-time.

Institutions

Publication Details

Journal
Academia Polonica.
Published
2024-12-25
DOI
https://doi.org/10.23856/6630
Primary Topic
Transportation Systems and Logistics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DIFFERENTIAL METHOD FOR ASSESSING THE EVENNESS OF THE ROAD SURFACE OF THE STREET AND ROAD NETWORK BY THE IRI INDEX

Academia Polonica.
Transportation Systems and Logistics
article

DIFFERENTIAL METHOD FOR ASSESSING THE EVENNESS OF THE ROAD SURFACE OF THE STREET AND ROAD NETWORK BY THE IRI INDEX

article en

Abstract

The article investigates the use of the IRI index to assess the condition of the pavement of streets of different types within a settlement: main city and district roads, residential and industrial. The possibility of applying a differential system for assessing the evenness of the road surface is considered, which makes it possible to more accurately determine its condition in five gradations – from excellent to critical. Based on the results, a map of the district was built, which clearly demonstrates the distribution of the technical condition of its street and road network. This allowed us to identify problem areas, which will make it easier to optimize the planning of repair work and ensure efficient use of resources. The research provides a more comprehensive understanding of the factors contributing to pavement deterioration. Furthermore, the use of modern technologies, such as GIS systems and remote sensing data, facilitated the development of a dynamic model for monitoring road conditions in real-time.

Academia Polonica.Vol. 66(5)
National Transport University (UA)
Sustainable cities and communities
Openalex Percentile: Top 72%
Transportation Systems and Logistics
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.