16 citations · 33 across the 12 of their papers we have counts for
4 papers · 1 filter
Deep learning-based pavement performance modeling using multiple distress indicators and road work history
Lu Gao, Zhe Han, Yunshen Chen
The deterioration of pavement is a complex and dynamic process determined by different factors including material, environment, design, and some other unobserved variables. Accurat…
Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks
Ke Yu, Lu Gao
Pavement condition data is important in providing information regarding the current state of the road network and in determining the needs of maintenance and rehabilitation treatme…
Considering Spatial Structure of the Road Network in Pavement Deterioration Modeling
Lu Gao, Ke Yu, Pan Lu
Pavement deterioration modeling is important in providing information regarding the future state of the road network and in determining the needs of preventive maintenance or rehab…
Evaluating Pavement Deterioration Rates Due to Flooding Events Using Explainable AI
Lidan Peng, Lu Gao, Feng Hong +1
Flooding can damage pavement infrastructure significantly, causing both immediate and long-term structural and functional issues. This research investigates how flooding events aff…