Effects of overloaded commercial traffic on pavement surface layer

Abstract Road infrastructure accommodates a wide variety of vehicles, but traffic growth and overloaded vehicles present major problems, which have a negative influence on pavement performance and shorten its lifespan. As a result, the expenses associated with pavement construction and rehabilitation have increased significantly. A weigh-in-motion (WIM) device was used to gather 24-h commercial traffic axle-load data from the two national highway road sections over a 5-year period for the purpose of determining the pavement thickness and vehicle damage factor (VDF) value. This study calculates the overloaded traffic (OLT) and standard-loaded traffic (SLT) VDF values using the fourth power law, and the OLT VDF value was found to be twice as high as that of the SLT value. This research uses IRC:372018 to calculate the pavement thickness for the SLT and OLT, and the IITPAVE software validates the results. The analysis revealed that the calculated surface layer thickness of the OLT is 1.2 times higher than the calculated surface layer thickness of SLT. According to this study, the thickness of the pavement surface layer increases by 1.3 to 1.5 times, and the VDF value increases by 1.2 to 1.5 times if there are 15 per cent more overloaded vehicles. This study also concludes that if the VDF value of the vehicle increases by two times, then the pavement surface layer thickness increases about 1.5 times. This research investigates the idea that OLT is considered during the design of new pavement instead of SLT.

Authors

Institutions

Publication Details

Journal
Intelligent Transportation Infrastructure
Published
2025-01-01
DOI
https://doi.org/10.1093/iti/liaf005
Citations
1
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of overloaded commercial traffic on pavement surface layer

Sanjeev Kumar Suman, Aditya Kumar
1 citations
Intelligent Transportation Infrastructure
Asphalt Pavement Performance Evaluation
0.95
article

Effects of overloaded commercial traffic on pavement surface layer

Sanjeev Kumar Suman, Aditya Kumar
article en
1 citations

Abstract

Abstract Road infrastructure accommodates a wide variety of vehicles, but traffic growth and overloaded vehicles present major problems, which have a negative influence on pavement performance and shorten its lifespan. As a result, the expenses associated with pavement construction and rehabilitation have increased significantly. A weigh-in-motion (WIM) device was used to gather 24-h commercial traffic axle-load data from the two national highway road sections over a 5-year period for the purpose of determining the pavement thickness and vehicle damage factor (VDF) value. This study calculates the overloaded traffic (OLT) and standard-loaded traffic (SLT) VDF values using the fourth power law, and the OLT VDF value was found to be twice as high as that of the SLT value. This research uses IRC:372018 to calculate the pavement thickness for the SLT and OLT, and the IITPAVE software validates the results. The analysis revealed that the calculated surface layer thickness of the OLT is 1.2 times higher than the calculated surface layer thickness of SLT. According to this study, the thickness of the pavement surface layer increases by 1.3 to 1.5 times, and the VDF value increases by 1.2 to 1.5 times if there are 15 per cent more overloaded vehicles. This study also concludes that if the VDF value of the vehicle increases by two times, then the pavement surface layer thickness increases about 1.5 times. This research investigates the idea that OLT is considered during the design of new pavement instead of SLT.

Intelligent Transportation InfrastructureVol. 4
National Institute of Technology Patna (IN)
Openalex Percentile: Top 27%
Asphalt Pavement Performance Evaluation
0.95
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.

Effects of overloaded commercial traffic on pavement surface layer — Sanjeev Kumar Suman, Aditya Kumar · Intelligent Transportation Infrastructure (2025) | TGRS Research Map | TGRS