Results 111 to 120 of about 18,744,769 (200)

Machine Learning Modelling of IRI in Continuously Reinforced Concrete Pavements Using LTPP Data: Comparative Evaluation of Advanced Algorithms

Civil Engineering Dimension
Accurately predicting International Roughness Index (IRI) is essential for effective pavement maintenance and long-term network sustainability. This study evaluates several advanced machine learning models for IRI prediction in Continuously Reinforced ...
Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb, Muamer Abuzwidah   +3 more
doaj   +1 more source

Dual Model for International Roughness Index Classification and Prediction

Infrastructures
Existing models for predicting the international roughness index (IRI) of a road surface often lack adaptability, struggling to accurately reflect variations in climate, traffic, and pavement distresses—factors critical for effective and sustainable ...
Noelia Molinero-Pérez, Laura Montalbán-Domingo, Amalia Sanz-Benlloch, Tatiana García-Segura   +3 more
doaj   +1 more source

Analysis of Pavement Condition Using The International Roughness Index (IRI) Method With The Roadroid Application on The Genengan–Lembeyan Road Section In Magetan District

Journal of Social Research
The Genengan–Lembeyan road in Magetan Regency serves as a vital transportation route, connecting Magetan and Ponorogo Regencies. As a primary collector road, it facilitates the distribution of goods and community mobility but experiences significant surface deterioration due to high traffic volumes and heavy vehicle loads.
Adi Purwanto, Hanie Teki Tjendani, Budi Witjaksana   +2 more
openaire   +1 more source

PENDEKATAN KUANTITATIF DALAM PEMETAAN KENYAMANAN JALAN MENGGUNAKAN INTERNATIONAL ROUGHNESS INDEX (IRI) KENDARAAN RODA DUA: PENDEKATAN KUANTITATIF DALAM PEMETAAN KENYAMANAN JALAN MENGGUNAKAN INTERNATIONAL ROUGHNESS INDEX (IRI) KENDARAAN RODA DUA

The condition of a road section can be known using the IRI (International Roughness Index) value. IRI is the value of the unevenness of the road surface and is determined by the total length of elevation and subsidence of the road surface per unit length.
Rahmadani, Rani, Pratiwi, Nabila Ayu, Suala, Reyhan Tobias Victorio, Pangesti, Rendy Dwi   +3 more
core  

Ride Comfort Prediction on Urban Road Using Discrete Pavement Roughness Index

Applied Sciences
The prediction of ride comfort holds significant potential for enhancing the driving experience of both human drivers and autonomous vehicles, as it is closely correlated with pavement roughness.
Difei Wu
doaj   +1 more source

ANALISIS PEMETAAN KENYAMANAN JALAN BERDASARKAN INTERNATIONAL ROUGHNESS INDEX (IRI) UNTUK KENDARAAN RODA EMPAT KECAMATAN TEMBALANG, KOTA SEMARANG

Bangun Rekaprima
Assessment using the International Roughness Index (IRI) is an important indicator in evaluating the quality of road surfaces, which affects the comfort and safety of users. This study aims to map road conditions in Tembalang District, Semarang City, using the IRI value as a reference for determining maintenance budget needs.
Rendy Dwi Pangesti, Dianita Ratna Kusumastuti, Roselina Rahmawati, Rifqi Aulia Abdillah   +3 more
openaire   +1 more source

Prototype in visual basic for application in excel VBA, for the calculation of the international roughness index (IRI) of the asphalt layer of a flexible pavement

, 2017
El proyecto de grado “prototipo en visual basic for aplication en Excel VBA, para el cálculo del Índice Internacional de Rugosidad (IRI) de la capa asfáltica de un pavimento flexible”, describe los procedimientos realizados y requerimientos necesarios ...
Mendoza Rincón, Jorge Alirio
core  

Penentuan Kemantapan Permukaan Jalan (Internasional Roughness Index-Iri ) Menggunakan Aplikasi Android Roadbump Pro

, 2020
Penilaian kondisi permukaan jalan diperlukan untuk menentukan program evaluasi jalan yang tepat. Salah satu parameter yang digunakan adalah International Roughness Index atau IRI.
RESI, Isabela Gratcia
core  

Using the interpersonal reactivity index to assess empathy in violent offenders [PDF]

, 2004
The Interpersonal Reactivity Index (IRI), developed by Davis (1980), provides an excellent multidimensional measure of empathy for the general adult population, the domain for which it was developed.
O'Brien-Malone, A, Hall, G., Beven, J.P.
core  

LiRA-CD: An open-source dataset for road condition modelling and research. [PDF]

Data Brief, 2023
Skar A, Vestergaard AM, Brüsch T, Pour S, Kindler E, Alstrøm TS, Schlotz U, Larsen JE, Pettinari M.   +8 more
europepmc   +1 more source