Results 51 to 60 of about 418 (173)

Development of Regression Models for Predicting Pavement Condition Index from the International Roughness Index

Journal of Engineering, 2020
Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure.
Muataz Safaa Abed
doaj   +1 more source

Data Driven Pavement Management: Leveraging Machine Learning for Resilient and Sustainable Pavement Condition Prediction

Journal of Engineering, Volume 2026, Issue 1, 2026.
Infrastructure construction and maintenance is very critical in supporting a robust and sustainable transportation system. The primary goal of transportation infrastructure is to ensure safe and efficient movement. However, aging, traffic loads, and environmental conditions all lead to distress on pavement that necessitates the use of predictive models
Touqeer Ali Rind, Shiraz Ahmed, Muhammad Faisal Javed, Muhammad Arsalan Khan, Natt Makul   +4 more
wiley   +1 more source

Design and Implementation of a Vibration-Based Real-Time Internet of Things Framework for Road Condition Monitoring

IEEE Open Journal of Vehicular Technology, 2023
This paper presents a study on the design and implementation of a real-time Internet of Things (IoT) framework for monitoring road conditions. The proposed system incorporates an accelerometer sensor attached to the rear axle of a vehicle to capture ...
Mohamed AbdelRaheem, Muhammad Hassan, Mahmoud A. Alyousify, Ali Hussein, Amr A. Nassr   +4 more
doaj   +1 more source

Intelligent Prediction of Pavement Structural Degradation Using a Multimodel Ensemble Learning Approach

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Accurate prediction of the long‐term structural response of pavement systems is critical for performance evaluation and intelligent maintenance within the context of structural health monitoring. This study proposes an automated machine learning framework to predict the time‐dependent evolution of pavement rutting and deflection using full‐scale ...
Kaiwen Lei, Bingyan Cui, Mian Zhang, Rui Mao, Yongzuo Du, Xingyu Gu, Zhen Liu, Ka-Veng Yuen   +7 more
wiley   +1 more source

LTTP Data Analysis: Factors Affecting Pavement Roughness for the State of California

Journal of Materials and Engineering Structures, 2019
The contributions of pavement structure and features, rehabilitation techniques, climatic conditions, traffic levels, layer materials and properties, pavement distress, and other factors causing changes in pavement smoothness are not well documented.
Pedro Afonso ZAVAGNA, Alisha KHANAL, Mena SOULIMAN   +2 more
doaj  

Enhancing Road Infrastructure Quality Assessment Through Low-Cost Inertial Sensors [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The quality of road infrastructure significantly influences road safety, vehicle performance, and the overall driving experience. Traditional methods of assessing road quality, such as manual inspections, often lack the efficiency and accuracy needed to ...
T. Singh, K. Garg, S. Goel
doaj   +1 more source

New Climate Change Center of Saudi Arabia: Advancing Understanding and Prediction for the Arabian Peninsula Climate

Earth's Future, Volume 13, Issue 12, December 2025.
Abstract The desert climate of the Arabian Peninsula (AP), marked by sparse rainfall, extreme temperatures, and frequent dust events, significantly impacts its 80‐million population, environment, and economy. Rising temperatures and dust incursions exacerbate these harsh conditions, yet the AP's climate is underrepresented in global climate research ...
Ibrahim Hoteit, Yasser Abualnaja, Shehzad Afzal, Caspar Aman, Charls Antony, Karumuri Ashok, Mazen Ibrahim Asiri, Raju Attada, Majda Abdo Al‐Azemi, Davide Bavera, Saud Al‐Boqami, Christopher Castro, HSin‐I Chang, Bruce Cornuelle, Wenqiang Cui, Hari Prasad Dasari, Srinivas Desamsetti, William Dougherty, Azhar Ehsan, Saber Feki, Harikishan Gandham, Bilel Hadri, Mohamad Abed El‐Rahman Hammoud, Waqar Ul Hassan, Nazrul Islam, Ayman Ghulam, Prajeesh Athippatta Gopinathan, Daquan Guo, Rama Krishna Karumuri, George Krokos, Ravi Kumar Kunchala, Thang Luong, Sateesh Masabathini, Matthew Mazloff, Ramakrishna Pammi, Raju Pathak, Christoforus Bayu Risanto, Andrew Robertson, Elena Lopez Rubio, Md Saquib Saharwardi, Rui Sun, Aneesh Subramanian, Junchuan Sun, Edriss Saleh Titi, Koteswararao Vankayalapati, Yesubabu Viswanadhapalli, David Yates, Matteo Zampieri, Arjan Zamreeq, Peng Zhan   +49 more
wiley   +1 more source

Asphalt Pavement Roughness Prediction Based on Gray GM(1,1|sin) Model

International Journal of Computational Intelligence Systems
Roughness is a comprehensive assessment indicator of pavement performance. Prediction of pavement roughness exhibits great difficulties by using traditional methods such as mechanistic-empirical method and regression method. Considering the fact that the
Xiuli Zhang, Chunming Ji
doaj   +1 more source

A streamlined approach for probabilistic pavement life‐cycle performance prediction via physics‐informed neural networks

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 28, Page 5136-5152, 28 November 2025.
Abstract Pavement life cycle management (LCM) is essential for assessing the long‐term environmental and economic impacts of roadway infrastructure by means of pavement life cycle assessment (LCA) and life cycle cost analysis (LCCA). However, pavement LCA and LCCA studies frequently overlook the use phase due to the limited availability of performance ...
Jin Li, Wentao He, Huailei Cheng, Haopeng Wang   +3 more
wiley   +1 more source

Evaluasi Kondisi Fungsional dan Struktural Menggunakan Metode Bina Marga dan AASHTO 1993 Sebagai Dasar dalam Penanganan Perkerasan Lentur Studi Kasus : Ruas Medan - Lubuk Pakam

Jurnal Teknik Sipil, 2013
Abstrak. Tujuan dari penelitian ini adalah melakukan evaluasi fungsional dan struktural pada perkerasan lentur di Jalan Lintas Timur Sumatera Ruas Medan-Lubuk Pakam, serta memberi rekomendasi penanganan berdasarkan hasil evaluasi tersebut.
M. Yoga Mandala Putra, Bambang Sugeng Subagio, Eri Susanto Hariadi, Sri Hendarto   +3 more
doaj   +1 more source