As a vital and integral component of transportation infrastructure, pavement has a direct and
tangible impact on socio-economic sustainability. In recent years, an influx of …

Pavement performance prediction is necessary for road maintenance and repair (M&R)
management and plans. The accuracy of performance prediction affects the allocation of …

Pavement management systems (PMS) are used by transportation government agencies to
promote sustainable development and to keep road pavement conditions above the …

The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid
pavement distress. The process of classifying pavement distress is usually performed by …

One of the most important and widely accepted pavement performance and ride quality
indicators is the International Roughness Index (IRI). This study investigates the combined …

The Pavement Condition Index (PCI) is one of the most critical pavement performance
indicators and ride quality. This study aims to develop PCI models based on pavement …

This study investigates the possibility for augmenting infrequent standard pavement survey
data with spatiotemporally continuous sensor data crowdsourced from connected vehicles …

Abstract The International Roughness Index (IRI) is the most popular index used to measure
road surface roughness. In the current study, three integrated approaches based on Multiple …

Physics-informed neural networks (PINN) are machine learning (ML) algorithms that can
bridge the gap between our understanding of physical phenomena and the corresponding …

新藏公路既是通往西藏地区重要的人员, 物资运输通道, 又是我国海拔最高的公路,
沿线地质条件复杂, 病害发生率高. 为研究新藏公路各类路面病害空间分布特征 …