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IRI (International Roughness Index): An Indicator Of Vehicle Response
Materials Today: Proceedings, 2018Abstract 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 +2 more
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International Roughness Index (IRI) measurement using Hilbert-Huang transform
Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII, 2018International Roughness Index (IRI) is an important metric to measure condition of roadways. This index is usually used to justify the maintenance priority and scheduling for roadways. Various inspection methods and algorithms are used to assess this index through the use of road profiles. This study proposes to calculate IRI values using Hilbert-Huang
Ming Wang, Wenjin Zhang
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2021
An important part of managing road pavement is an assessment of the functional condition of the road. This assessment is important because it can be used as a material to determine actions to be taken on a road section so that it can function properly until the planned age.
Medis Surbakti +3 more
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An important part of managing road pavement is an assessment of the functional condition of the road. This assessment is important because it can be used as a material to determine actions to be taken on a road section so that it can function properly until the planned age.
Medis Surbakti +3 more
openaire +1 more source
Validation of stamper device to measure international roughness index IRI
Transport and Communications Science JournalMeasuring International Roughness Index (IRI) is one of the tasks in the process of checking, monitoring and evaluating road surface quality. In Vietnam, the types of IRI measuring devices are still limited. There are specialized devices with high accuracy and speed, but the cost is high. Therefore, they are not commonly used for regular monitoring. To
Kien Pham Hoang +2 more
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ICTE 2013, 2013
The most commonly used approach to predict pavement performance is Regression equation based on field data. But there is large gap between the predicted and actual values. Markov approach can be used to predict this gap, and make regression values closer to the measured.
Zhizhong Zhao, Zhongyin Guo
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The most commonly used approach to predict pavement performance is Regression equation based on field data. But there is large gap between the predicted and actual values. Markov approach can be used to predict this gap, and make regression values closer to the measured.
Zhizhong Zhao, Zhongyin Guo
openaire +1 more source
Canadian Journal of Civil Engineering, 2014
International roughness index (IRI) values were calculated from multi-step processing of accelerometer data collected using three smartphone devices in three consumer vehicles under 11 test scenarios on a 1000 m stretch of secondary highway in New Brunswick.
Trevor Hanson +2 more
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International roughness index (IRI) values were calculated from multi-step processing of accelerometer data collected using three smartphone devices in three consumer vehicles under 11 test scenarios on a 1000 m stretch of secondary highway in New Brunswick.
Trevor Hanson +2 more
openaire +1 more source
Canadian Journal of Civil Engineering, 2016
International roughness index (IRI) values were calculated from multi-step processing of accelerometer data collected using three smartphone devices in three consumer vehicles under 11 test scenarios on a 1000 m stretch of secondary highway in New Brunswick.
Trevor Hanson +2 more
openaire +1 more source
International roughness index (IRI) values were calculated from multi-step processing of accelerometer data collected using three smartphone devices in three consumer vehicles under 11 test scenarios on a 1000 m stretch of secondary highway in New Brunswick.
Trevor Hanson +2 more
openaire +1 more source
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022
Wasique Haleem Pandit +2 more
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Wasique Haleem Pandit +2 more
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Development of International Roughness Index (IRI) Prediction Models Using LTPP and MnROAD Databases
2022Beckley, Michelle +3 more
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The International Roughness Index (IRI) is a widely used measure of the roughness of road surfaces and ride quality. The Federal Highway Administration (FHWA) has required States' Departments of Transportation (DOT) to include IRI values in their Pavement Management Systems (PMS) since 1990.
Acharjee, P.K. +5 more
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Acharjee, P.K. +5 more
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