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…