Results 231 to 240 of about 9,200 (284)
Some of the next articles are maybe not open access.

Application of an Inexpensive Sensor in Calculating the International Roughness Index

Journal of Computing in Civil Engineering, 2018
AbstractThe international roughness index (IRI) is one of the most common indices applied in the assessment of road roughness.
Amir Golroo
exaly   +2 more sources

Relationship between International Roughness Index and Straightedge Index

Journal of Transportation Engineering, 2012
AbstractThis study presents the regression relationships between two commonly used indicators of longitudinal road unevenness, the international roughness index (IRI) and the straightedge index. A total of 290 real longitudinal road-profile records were processed. The asphalt-concrete and cement-concrete road surfaces were analyzed separately.
Peter Múčka, Múčka Peter
exaly   +2 more sources

Influence of Profile Specification on International Roughness Index

Journal of Infrastructure Systems, 2019
AbstractThis paper addressed an important question of selection of wheel path(s) for International Roughness Index (IRI) or Mean Roughness Index (MRI) estimation.
Peter Múčka
exaly   +2 more sources

Smooth Enough?: Estimated Roughness on Roads with Low International Roughness Index Values [PDF]

open access: yesTransportation Research Record: Journal of the Transportation Research Board, 2003
The reported investigation is one part of a project concerning methods for measurement of the longitudinal roughness of roads and the necessary accuracy. In this study the main focus was on the subjective experience of roughness on roads with low international roughness index (IRI) values, that is, fairly good roads. With the available data it was also
Dahlstedt, Sven,
openaire   +2 more sources

Applicability of the International Roughness Index as a Predictor of Asphalt Pavement Condition [PDF]

open access: yesJournal of Transportation Engineering, 2007
This note establishes the relationship between the surface distress of an asphalt pavement and its roughness, as conveyed respectively by the pavement condition index (PCI) and the international roughness index (IRI). The DataPave software provides the roughness of varied roadway pavement sections from the North Atlantic region that were investigated ...
Park, Kyungwon   +2 more
openaire   +3 more sources

IRI (International Roughness Index): An Indicator Of Vehicle Response

Materials Today: Proceedings, 2018
Abstract Public roads are the principle source of excitation to ground vehicles. Objective roughness/severity classification of the public roads is essential to predict vehicle response/fatigue damage at an early stage of vehicle development program.
Prashant R Pawar, Arun Tom Mathew
exaly   +2 more sources

Factors Contributing to Differences between Profiler and the International Roughness Index [PDF]

open access: yesTransportation Research Record: Journal of the Transportation Research Board, 2006
One of the data elements included in a pavement management system is the roughness of each highway segment. State highway agencies use inertial profilers to collect profile data of the pavements and then use these data to compute the International Roughness Index (IRI) of each highway segment.
Rohan W. Perera   +2 more
openaire   +2 more sources

Optimization of International Roughness Index Model Parameters for Sustainable Runway [PDF]

open access: yesSustainability, 2021
Pavement roughness is a critical airport pavement characteristic that has been linked to impacts such as safety and service life. A properly defined roughness evaluation method would reduce airport operational risk, prolong the life of aircraft landing ...
Yu Tian, Shifu Liu
exaly   +2 more sources

Effects of maintenance, traffic and climate condition on International Roughness Index of flexible pavement [PDF]

open access: yesInternational Journal of Pavement Engineering, 2023
This paper focuses on developing the predictive models for International Roughness Index (IRI) of flexible pavement using several soft computing systems.
Cafer Kayadelen   +2 more
exaly   +2 more sources

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