16 citations · 33 across the 12 of their papers we have counts for
13 papers
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…
Estimating the Impact of COVID-19 on Travel Demand in Houston Area Using Deep Learning and Satellite Imagery
Alekhya Pachika, Lu Gao, Lingguang Song +2
Considering recent advances in remote sensing satellite systems and computer vision algorithms, many satellite sensing platforms and sensors have been used to monitor the condition…
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…
Network-Level Travel Time Prediction Considering The Effects of Weather and Seasonality
Yufei Ai, Yao Yu, Wenjing Pu +2
Accurately predicting travel time information can be helpful for travelers. This study proposes a framework for predicting network-level travel time index (TTI) using machine learn…
Evaluating the Impact of COVID-19 on Transportation Infrastructure Funding
Lu Gao, Pan Lu, Fengxiang Qiao +3
The coronavirus disease 2019 (COVID-19) pandemic has caused a reduction in business and routine activity and resulted in less motor fuel consumption. Thus, the gas tax revenue is r…
Assessing Cybersecurity Risks and Traffic Impact in Connected Autonomous Vehicles
Saurav Silwal, Lu Gao, Ph. D. Yunpeng Zhang +4
Given the promising future of autonomous vehicles, it is foreseeable that self-driving cars will soon emerge as the predominant mode of transportation. While autonomous vehicles of…
Developing an AI Assistant for Knowledge Management and Workforce Training in State DOTs
Divija Amaram, Lu Gao, Gowtham Reddy Gudla +1
Effective knowledge management is critical for preserving institutional expertise and improving the efficiency of workforce training in state transportation agencies. Traditional a…
A Bilevel Optimization Framework for Adversarial Control of Gas Pipeline Operations
Tejaswini Sanjay Katale, Lu Gao, Yunpeng Zhang +1
Cyberattacks on pipeline operational technology systems pose growing risks to energy infrastructure. This study develops a physics-informed simulation and optimization framework fo…
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…
Deep Learning for Pavement Condition Evaluation Using Satellite Imagery
Prathyush Kumar Reddy Lebaku, Lu Gao, Pan Lu +1
Civil infrastructure systems covers large land areas and needs frequent inspections to maintain their public service capabilities. The conventional approaches of manual surveys or…
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…
Large Language Model-Driven Code Compliance Checking in Building Information Modeling
Soumya Madireddy, Lu Gao, Zia Din +4
This research addresses the time-consuming and error-prone nature of manual code compliance checking in Building Information Modeling (BIM) by introducing a Large Language Model (L…
Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models
Lu Gao, Yongxin Liu, Hongyun Chen +3
Intelligent Transportation Systems (ITS) are increasingly vulnerable to sophisticated cyberattacks due to their complex, interconnected nature. Ensuring the cybersecurity of these…