About Me
I am a Ph.D. candidate in the Department of Civil and Environmental Engineering at Seoul National University, where I am fortunate to be advised by Prof. Dong-kyu Kim.
My research focuses on designing, operating, and maintaining transportation systems, aiming to develop smart, safe, and equitable solutions. Currently, I’m focusing on congestion games and mechanism design, exploring how the principles from these areas can be used to develop efficient operational strategies within emerging mobility systems.
I'm always up for discussing related topics and exploring potential collaborations. If you're interested in these areas as much as I am, please don't hesitate to reach out.
Contact me at: yoonhs1113@snu.ac.kr
News
February 2024: I have completed a 3-week Basic Military Training course of the Republic of Korea Army!
January 2024: I am honored to be selected for the Brain Korea 21 Future Innovative Talent scholarship
Publications
Yun, H., Lee, E. H., Moon, S., & Kim, D. K. (2023). Data-driven approach for measuring and managing physical distancing in subways during pandemic conditions
Transportation Research Record
Yun, H., Kim, E. J., Ham, S. W., & Kim, D. K. (2022). Price incentive strategy for the e-scooter sharing service using deep reinforcement learning
Journal of Intelligent Transportation Systems
Yun, H., Lee, E. H., Kim, D. K., & Cho, S. H. (2021). Development of estimating methodology for transit accessibility using smart card data
Transportation Research Record
Manuscripts in review
Yun, H., Kim, E. J., Ham, S. W., & Kim, D. K. (2023). Navigating the non-compliance effects on system optimal route guidance using reinforcement learning.
(under 2nd round revision in Transportation Research Part C: Emerging Technologies)
Min, D., Yun, H., Ham, S.W., & Kim, D. K. (2023). Real-time estimation of origin-destination matrices using a deep neural network for digital twins
(under revision in Transportation Research Record)
Lee, S.H., Yun, H., Ham, S. W., & Kim, D. K. (2023). Quantifying effects of system optimal rerouting of autonomous vehicles in mixed-traffic environments
(under review in IET Intelligent Transport Systems)
Experiences
Research internship at Kakao Mobility data intelligence team (2021)
During my internship program, I developed a dynamic pricing algorithm for bike-sharing service with dynamic programming and reinforcement learning, considering supply capacity and demand fluctuation
I also created a short-term demand prediction model using the inhomogeneous poisson point process to discover the time-variant supply-demand relationship of the bike-sharing service
Honors and Awards
Brain Korea 21 Future Innovative Talent Scholarship, 2024
Best Paper Award for Technological Innovation, The 15th International Conference of Eastern Asia Society for Transportation Studies, 2023
Ph.D. Candidate Scholarship from National Research Foundation of Korea, 2022
Excellent Paper Award, The Korea Institute of Intelligent Transportation Systems, 2021, 2022, 2023 (2)
Excellence Award, ESG Smart City Entrepreneurship Hackathon. 2023