Pothole detection and International Roughness Index (IRI) calculation using ATVs for road monitoring [PDF]
Scientific ReportsThe accelerated deterioration of roads is conditioned by parameters such as climate change, poor construction, and heavy vehicle traffic. Two relevant measures to monitor the condition of a road are the International Roughness Index (IRI) and the number ...
Kevin Guerra +4 more
doaj +5 more sources
A Comparative Study of AI-Based International Roughness Index (IRI) Prediction Models for Jointed Plain Concrete Pavement (JPCP). [PDF]
Materials (Basel), 2022 The international roughness index (IRI) can be employed to evaluate the smoothness of pavement. The previously proposed mechanical-empirical pavement design guide (MEPDG), which is used to model the IRI of joint plain concrete pavement (JPCP), has been modified in this study considering its disadvantage of low prediction accuracy.
Wang Q, Zhou M, Sabri MMS, Huang J.
europepmc +3 more sources
International Roughness Index (IRI) prediction models for freeways
Transportation Research Procedia, 2023 In Pavement Management Systems (PMS), pavement performance models, or pavement deterioration (or evolution) models are regarded as a key element because they are able to forecast the future condition of the pavement based on available data. Hence, once pavement performance is predicted for next years, the optimal moment and treatment can be planned to ...
Heriberto Pérez-Acebo +2 more
exaly +3 more sources
Pavement Quality Evaluation Using Connected Vehicle Data [PDF]
Sensors, 2022 Modern vehicles have extensive instrumentation that can be used to actively assess the condition of infrastructure such as pavement markings, signs, and pavement smoothness.
Justin A. Mahlberg +4 more
doaj +2 more sources
Use of Unmanned Aerial Vehicles (UAVs) and Photogrammetry to Obtain the International Roughness Index (IRI) on Roads [PDF]
Applied Sciences (Switzerland), 2020 Road inspection and maintenance require a large amount of data collection, where the main limiting factor is the time required to cover long stretches of road, having a negative impact on the optimization of the work. This article aims to identify modern tools for road maintenance and analysis.
Edison Atencio +2 more
exaly +5 more sources
Study of Pavement Condition Index (PCI) relationship with International Roughness Index (IRI) on Flexible Pavement. [PDF]
MATEC Web of Conferences, 2019 Road is an infrastructure that built to support the movement of the vehicle from one place to another for different purposes. Today, it is often found damage to road infrastructure, both local roads, and arterial roads.
Psalmen Hasibuan Rijal +1 more
doaj +2 more sources
The Profiling of International Roughness Index (IRI) Based on Lagrangian Method
World Journal of Engineering and Technology, 2018 The phenomenological equations of motion for the international roughness index (IRI) have been reviewed and discussed in terms of Lagrangian method in physics. The current paper proposes a practical, two-dimensional model for studying essentially three-dimensional, vibrating, and mechanical systems (vehicles).
Schun T Uechi, Hiroshi Uechi
exaly +3 more sources
Intelligent Transportation Infrastructure, 2022 Abstract The International Roughness Index (IRI) is one of the most commonly used indicators to measure pavement surface smoothness. This paper uses the data obtained from the Specific Pavement Studies-3 (SPS-3) of the Long Term Pavement Performance (LTPP) program to study the influencing factors of the International Roughness Index of ...
You Zhan, Allen Zhang, Zhan You
exaly +2 more sources
Application of Mobile Mapping System to a Cable-Stayed Bridge in Thailand [PDF]
Sensors, 2022 Infrastructures must be inspected regularly to ensure serviceability and public safety. In the case of the Thailand expressway, 200 km of an elevated structure must be inspected once a year.
Ekarin Lueangvilai, Taweep Chaisomphob
doaj +2 more sources
Probabilistic International Roughness Index (IRI) prediction model for a climate homogeneous region
Transportation Research Procedia, 2023 Ángela Alonso Solórzano +3 more
exaly +2 more sources