Research

• 2026Lim, S.Y.†, Yun, H.†, Bansal, P., Kim, D.K., & Kim, E.J. A Large Language Model for Feasible and Diverse Population Synthesis. Transportation Research Part C Code
• 2025Lee, E.H., Yun, H., Cho, S.H., & Lee, E. Aggressive driving in ride-hailing: Work hours and road conditions. Journal of Transportation Safety & Security
• 2025Yun, H. & Lee, E.H. Party politics in transport policy with a large language model. Transport Policy
• 2025Min, D., Yun, H., Kim, D.K., & Ham, S.W. Dynamic origin-destination matrix estimation using metamodel-based model predictive control for real time application. Transportation Research Record
• 2025Kim, P., Yun, H., Kim, J., & Kim, D.K. Scalable link cost learning for real-time route guidance systems. Transportation Research Part C
• 2024Yun, H., Kim, E.J., Ham, S.W., & Kim, D.K. Navigating the non-compliance effects on system optimal route guidance using reinforcement learning. Transportation Research Part C
• 2023Min, D., Yun, H., Ham, S.W., & Kim, D.K. Real-time estimation of origin-destination matrices using a deep neural network for digital twins. Transportation Research Record
• 2023Yun, H., Lee, E.H., Moon, S., & Kim, D.K. Data-driven approach for measuring and managing physical distancing in subways during pandemic conditions. Transportation Research Record
• 2022Yun, H., Kim, E.J., Ham, S.W., & Kim, D.K. Price incentive strategy for the e-scooter sharing service using deep reinforcement learning. Journal of Intelligent Transportation Systems
• 2021Yun, H., Lee, E.H., Kim, D.K., & Cho, S.H. Development of estimating methodology for transit accessibility using smart card data. Transportation Research Record

• –Kim, J.T., Kim, D.K., & Yun, H. Gradient-Based Calibration of Volume Delay Functions in Static Traffic Assignment via Implicit Differentiation.
• –Kim, P., Yun, H., & Kim, D.K. Modeling unmet bus demand with passenger reneging behavior in a city-wide bus network.
• –Kim, P., Yun, H., & Kim, D.K. Two-phase clustering for behavior-adaptive route guidance systems.
• –Lee, E.H., Cho, J.H., Tu, Z., & Yun, H. DeciGen: Generative model for multi-criteria decision making in transportation planning.
• –Choi, S., Choi, J., Kim, D.K., & Yun, H. A two-stage framework for anomaly detection and classification in loop detector data.
• –Lee, S.H., Yun, H., Ham, S.W., & Kim, D.K. Impact of traffic management center functionality on speed harmonization in urban networks under mixed traffic environments.

• 2026Lim, S.Y.†, Yun, H.†, Bansal, P., & Kim, E.J. A Large Language Model for Feasible and Diverse Population Synthesis. TRB 105th Annual Meeting
• 2026Lee, E.H., Lee, E., Lee, Y.-I., Yun, H., Yun, H.-R., Lee, G., & Lee, T. Fare-free Subway and Senior Delivery Work in Seoul. TRB 105th Annual Meeting
• 2026Kim, J.T., Kim, D.K., & Yun, H. Gradient-Based Calibration of Volume Delay Functions in Static Traffic Assignment via Implicit Differentiation. TRB 105th Annual Meeting
• 2026Lee, E.H., Yun, H., & Tu, Z. A Generative Multi-Criteria Decision-Making Framework for Evaluating Transportation Systems: A Case Study of Texas. TRB 105th Annual Meeting
• 2025Yun, H., Kim, E.J., & Kim, D.K. The Potential of Large-Language Models as Regularizers in Deep Generative Models for Population Synthesis. ITS Asia Pacific Forum
• 2025Yun, H., Kim, D.J., & Kim, D.K. Managing Supply-Demand Imbalance in Shared Mobility Services Through Spatiotemporal Pricing. Transportation Research Symposium 2025
• 2025Lee, S.H., Ham, S.W., Yun, H., & Kim, D.K. Speed Harmonization Based on Multi-agent Reinforcement Learning for Mitigating Traffic Congestion under Mixed Traffic Environment. TRB 104th Annual Meeting
• 2025Min, D., Yun, H., Ham, S.W., & Kim, D.K. Real-time Dynamic Origin-Destination Matrix Estimation Using Metamodel-based Model Predictive Control. TRB 104th Annual Meeting
• 2024Min, D., Yun, H., Ham, S.W., & Kim, D.K. Real-time Estimation of Origin-Destination Matrices Using a Deep Neural Network for Digital Twins. TRB 103rd Annual Meeting
• 2023Yun, H., Lee, E.H., Moon, S., & Kim, D.K. Analysis of Subway Passenger's Physical Distancing Before and After the Outbreak of COVID-19. TRB 102nd Annual Meeting
• 2023Min, D., Yun, H., & Kim, D.K. Developing Lane-changing Strategy of Autonomous Vehicles Based on Deep Reinforcement Learning Using Long-range Information for Mitigating Traffic Congestion. 15th International Conference of EASTS

† Equal contribution · * Corresponding author