Research

A selection of recent work that reflects my current interests. For the full list, see the Publications tab.

Non-compliance route guidance

Navigating the non-compliance effects on system optimal route guidance using reinforcement learning

Hyunsoo Yun, Eui-Jin Kim, Seung Woo Ham, Dong-Kyu Kim

Transportation Research Part C Paper
LLM population synthesis

A large language model for feasible and diverse population synthesis

Sung-Yoo Lim†, Hyunsoo Yun†, Prateek Bansal, Dong-Kyu Kim, Eui-Jin Kim

Transportation Research Part C Paper Code
Gradient-based VDF calibration

Gradient-based calibration of volume delay functions in static traffic assignment via implicit differentiation

Jeric Taehyung Kim, Gyugeun Yoon, Dong-Kyu Kim, Hyunsoo Yun

Under review Preprint
Neural-Bayesian structure learning for discrete choice modeling

Neural-Bayesian structure learning for discrete choice modeling

Hyunsoo Yun†, Eun Hak Lee†, Jiaru Zhang, Ziran Wang, Eui-Jin Kim

Under review Preprint Code

† Equal contribution

Projects

Funded and applied research projects. Coming soon.

Journal Articles
Ongoing Work
  • –Yun, H.†, Lee, E.H.†, Zhang, J., Wang, Z., & Kim, E.J. Neural-Bayesian Structure Learning for Discrete Choice Modeling. Code
  • –Kim, J.T., Yoon, G., 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. Learning Heterogeneous Link Costs for Scalable Real-Time Route Recommendation. (Under review in Transportation Research Part E: Logistics and Transportation Review)
  • –Lee, E.H., Cho, J.H., Tu, Z., & Yun, H. DeciGen: Generative Multi-Criteria Decision Making in Transportation Planning.
  • –Lee, 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. (Under revision in Transportation Research Record)
  • –Choi, S., Choi, J., Kim, D.K., & Yun, H. A two-stage framework for anomaly detection and classification in loop detector data.
  • –Lee, E.H., Lee, J.-H., Kim, J., Yun, H., Cho, S.-H., & Kwon, O.H. Functional Demand-Responsive Transit Planning for Older Adults in a Super-Aging Society Using Generative AI. (Under revision in Transportation Research Part A: Policy and Practice)
  • –Lee, E.H., Lee, E., Yun, H., Cho, S.-H., & Souza, R. Prioritizing Road Drain Cleaning for Urban Flood Resilience in Seoul. (Under review in Transportation Research Record)
  • –Ahn, S., Kim, W., Yun, H., Cho, S.-H., Soltani, A., & Lee, E.H. Morning Guard: Crossing Guard Effects in School Zones Using Vision AI. (Under review in Transportation Research Record)
Conference Presentations
  • 2027Yun, H.†, Lee, E.H.†, Zhang, J., Wang, Z., & Kim, E.J. Neural-Bayesian Structure Learning for Joint Causal Discovery and Discrete Choice Modeling. TRB 106th Annual Meeting (Accepted for presentation)
  • 2027Yun, H.†, Jiang, L.†, Lu, J., Wei, C., McCoy, D., Ruble, T., Lintner, I., Reamer, D., Seely, C., Beck, J., & Wang, Z. Driver Comprehension and Behavior at Reduced Conflict Intersections: Evidence from Field Trajectories, Public Survey, and Driving Simulation. TRB 106th Annual Meeting (Accepted for presentation)
  • 2027Lee, E.H., Lee, J.-H., Kim, J., Yun, H., Cho, S.-H., & Kwon, O.H. Functional Demand-Responsive Transit Planning for Older Adults in a Super-Aging Society Using Generative AI. TRB 106th Annual Meeting (Accepted for presentation)
  • 2027Lee, E.H., Lee, E., Yun, H., Cho, S.-H., & Souza, R. Prioritizing Road Drain Cleaning for Urban Flood Resilience in Seoul. TRB 106th Annual Meeting (Accepted for presentation)
  • 2027Ahn, S., Kim, W., Yun, H., Cho, S.-H., Soltani, A., & Lee, E.H. Morning Guard: Crossing Guard Effects in School Zones Using Vision AI. TRB 106th Annual Meeting (Accepted for presentation)
  • 2026Kim, J.T., Kim, D.K., & Yun, H. Network-Level Volume-Delay Function Parameter Calibration via Path-Based Proxy Gradients. 32nd ITS World Congress
  • 2026Choi, S., Choi, J., Kim, D.K., & Yun, H. Data-driven Identification of Incidents Affecting Traffic Flow under Faulty Sensor Data. 32nd ITS World Congress
  • 2026Yun, H., Jiang, L., Zhang, J., & Wang, Z. Network-Wide Traffic Reconstruction Using a Generative Dynamic Traffic Assignment Framework. IEEE ITSC 2026 Workshop on Disruptive Technologies for Intelligent Urban Traffic Monitoring and Network Management
  • 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.