Results 81 to 90 of about 418 (173)
Pavement damage in road infrastructure is influenced by complex factors, particularly intense traffic and excessive loads, leading to quality decline and rapid deterioration.
Arbi Parianta Lukman +2 more
doaj +1 more source
Abstracts submitted to the ‘EACR 2025 Congress: Innovative Cancer Science’, from 16–19 June 2025 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley +1 more source
A Comparison of Connected-Vehicle Roughness and Traditional Pavement Condition Index
Accurate, scalable pavement condition monitoring is essential for effective asset management, yet traditional methods of collecting metrics like the International Roughness Index (IRI), Pavement Condition Index (PCI), and Pavement Surface Evaluation and ...
Andrew Thompson +2 more
doaj +1 more source
Assessment of the road based on PCI and IRI roadroid measurement
There are two methods of road assessment, ie, visually and using tools. Visual assessment makes use of the PCI (Pavement Condition Index), while assessment with the Roadroid app can be used to obtain the value of IRI (International Roughness Index) with ...
Putra Donny A., Suprapto Mamok
doaj +1 more source
The research assessed the condition of the Sei Duri-Mempawah road segment using the International Roughness Index (IRI) to determine surface roughness. Two smartphone applications, Roadbump and Roadroid, were evaluated against traditional laser profilometers to measure IRI values.
Hafizah Januarsih +2 more
openaire +1 more source
Jalan sangat penting bagi transportasi darat yang dapat memberikan pengaruh terhadap ekonomi, sosial, budaya maupun politik di suatu daerah, namun perkerasan jalan mengalami kerusakan dengan perkembangan penggunaan kenderaan serta beban yang berlebihan sehingga perlu adanya survei kondisi jalan. Penelitian dilakukan di jalan nasional Pulau Seram Barat,
La Hasrudin, Indra Maha
openaire +1 more source
AI for Predicting Pavement Roughness in Road Monitoring and Maintenance
In recent decades, numerous studies have investigated the application of Artificial Intelligence (AI), and more precisely of Artificial Neural Networks (ANNs), in the prediction of complex technical parameters, particularly in the field of road ...
Christina Plati +3 more
doaj +1 more source
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 +3 more
doaj +1 more source
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 +2 more
openaire +1 more source

