Ho-Hyuk Na holds a Ph.D. in Transportation Engineering from the University of Seoul, South Korea, and currently works as a postdoctoral researcher. His research interests include traffic safety, transportation planning, and AI-based big data analysis. Recently, he has been conducting research on establishing new infrastructure management standards for autonomous driving using vision-based detection techniques.

Do-Gyeong Kim is a professor in the Department of Transportation Engineering and the Graduate School of Urban Big Data Convergence at the University of Seoul, South Korea. His main research interests include transportation statistics, traffic safety, and big data analysis. He has actively conducted studies on driver behavior, vulnerable road user safety, and demand-responsive transport systems. Recently, he has been conducting research on establishing criteria for crowd congestion detection using vision-based detection techniques, aiming to improve urban mobility and public safety through data-driven approaches.

Currently, he is pursuing a Master’s degree in Transportation Engineering with a double major in Urban Big Data Convergence at the University of Seoul. He earned his Bachelor’s degree in Transportation Engineering from the same university, along with a double major in Big Data Analytics. Since 2023, he has been working as a research assistant at the Sustainable Transportation Laboratory, focusing on solving transportation issues through data-driven approaches.

Cheong-Won Lee is a professor in the Department of Civil and Environmental Engineering at Seoul National University, specializing in transportation engineering. His research focuses on traffic network analysis, intelligent transportation systems (ITSs), autonomous cooperative driving, and urban mobility innovation. He actively leads the Transportation Engineering Laboratory and participates in the Smart City Engineering program, contributing to research on data-driven traffic management, mobility as a service (MaaS), and infrastructure design for sustainable urban transport systems.