Results 91 to 100 of about 418 (173)

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

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

Analisis International Roughness Index (IRI) Terhadap Nilai Tingkat Kerusakan Ruas Jalan Nasional Batas Kab. Kolaka / Kab. Bombana – Boepinang

Action Research Literate
Penelitian ini bertujuan untuk mengevaluasi kondisi permukaan jalan pada ruas jalan nasional batas Kabupaten Kolaka - Kabupaten Bombana hingga Boepinang di Provinsi Sulawesi Tenggara, dengan menggunakan pendekatan International Roughness Index (IRI) sebagai parameter utama dalam pengukuran kualitas jalan.
Laode Muhamad Nurrakhmad Arsyad, LM Arisman Thamrin MZ, Muhammad Risal Apriansyah, Faharuddin Faharuddin, Wijaya Saputra, Ismail Muhzamin, Adris Ade Putra   +6 more
openaire   +1 more source

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

Evaluation of the Effect of Binary Fly Ash-Lime Mixture on the Bearing Capacity of Natural Soils: A Comparison with Two Conventional Stabilizers Lime and Portland Cement. [PDF]

Materials (Basel), 2023
Arias-Jaramillo YP, Gómez-Cano D, Carvajal GI, Hidalgo CA, Muñoz F.   +4 more
europepmc   +1 more source

Analysis on Effects of Joint Spacing on the Performance of Jointed Plain Concrete Pavements Based on Long-Term Pavement Performance Database. [PDF]

Materials (Basel), 2022
Wang J, Luo X, Huang X, Ye Y, Ruan S.
europepmc   +1 more source

Evaluating the effectiveness of satellite image super-resolution for road quality monitoring. [PDF]

Sci Rep
Thegeya A, Mitterling T, Njoroge C, Martinez A, Iddawela Y, Bulan JAN, Durante RL, Garonita OL, Mag-Atas J.   +8 more
europepmc   +1 more source

Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG. [PDF]

Materials (Basel), 2023
Islam KM, Gassman SL.
europepmc   +1 more source

Prediction of pavement performance via smatrphone vibration-induced unevenness signature using machine learning. [PDF]

Sci Rep
Wasiq S, Golroo A, Amani MJ, Hajikarimi P.   +3 more
europepmc   +1 more source