International Roughness Index as Road Performance Indicator: A Literature Review

Abstract

Rough pavements have a substantial influence on public approval, safety, and the economy. It is imperative to understand road surface conditions, particularly in decision-making processes for road maintenance, asset management, maintenance planning, and programming. In interpreting road pavement conditions, there are various methods of determining metrics and parameters. Thus, ride quality is one of the essential requirements for travelers to check road pavements. Addressing the identified research gaps is needed: 1) sensitivity of IRI values, 2) inaccuracy between no. of vehicles’ wheels, 3) characteristics of Android-based smartphones used, and 4) age of pavement. Results show the need for developing an index of roughness, representing urban roads’ unique features and predicting users’ road conditions. It is an impressive win for a model that would cover all the identified gaps—further recommends that future researchers consider the cause of when, how, and why a pavement deteriorates, given that there are different pavement situations. Thus, it complements the analysis results significantly and provides a better picture of the paving conditions.

Identifikasi Dan Analisis Tingkat Kerusakan Jalan Berbasis Spasial Ruas Jalan Tobelo – Podiwang

“…Dengan kata lain, bahwa kerusakan fungsional jalan dimulai dengan perubahan tingkat kekasaran pada lapis permukaannya. Sehingga, dibutuhkan sebuah indeks kekasaran untuk merepresentasikan spesifikasi khusus dari jalan dan menaksir kondisi para pengguna jalan [2].…”

The Analysis of Road Performance on Jalan Gajah Mada Batam, Indonesia

“…Road roughness must be continuously monitored to accurately understand the road infrastructure's condition (Bajic, et al, 2021). Knowledge of "road roughness" has long been acknowledged as a crucial measure of road performance in terms of safety and ride quality, automobile working conditions, and pavement deterioration (Cruz, Mendoza, & Lopez, 2021). There are many ways to quantify road roughness.…”

A Systematic Literature Network Analysis: Research Mapping of International Roughness Index

“…-IRI values are sensitive to different factors, such as vehicle speed, wheelbase, and suspension [50].…”

“…Gaps in the studies related to IRI, are: -There is a need to address the sensitivity of IRI values, inaccuracy between the number of vehicles' wheels, and the characteristics of Android-based apps for measuring IRI [50].…”