Explainable Mobility Intelligence Lab
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Welcome to the Explainable Mobility Intelligence (EMI) Lab at Ajou University.
We are studying methodological innovations at the intersection of Generative AI, Explainable AI, and Econometrics to achieve more dynamic, disaggregated, and transparent urban transportation planning. If you have any questions or comments, please feel free to contact me at euijin@ajou.ac.kr
We are seeking smart, motivated, and friendly Undergraduate Research Interns, M.S., and Ph.D. students to join our research group!
Don't hesitate to get in touch with Prof. Kim at euijin@ajou.ac.kr
학부연구생, 석사과정, 박사과정 학생을 모집하고 있으니 위 이메일로 김의진 교수에게 직접 연락주세요.
Data Fusion for Urban Digital twin Simulation
Data Fusion for Urban Digital twin Simulation
Collaborative Generative Adversarial Networks for Fusing Household Travel Survey and Smart Card Data to Generate Heterogeneous Activity Schedules in Urban Digital Twins
Lee, H., Bansal, P., Vo, K., Kim, E.J.*
Transportation Research Part C: Emerging Technologies (2025)
Explainable AI for Travel Demand Forecasting
Explainable AI for Travel Demand Forecasting
A New Flexible and Partially Monotonic Discrete Choice Model
Kim, E.J., Bansal, P.*
Transportation Research Part B: Methodological (2024)
Generative AI for Travel Demand Forecasting
Generative AI for Travel Demand Forecasting
A Deep Generative Model for Feasible and Diverse Population Synthesis
Kim, E.J., Bansal, P.*
Transportation Research Part C: Emerging Technologies (2023)
Generative Data-Fusion of Mobility data
Generative Data-Fusion of Mobility data
Imputing Qualitative Attributes for Trip Chains Extracted from Smart Card Data Using a Conditional Generative Adversarial Network
Kim, E.J., Kim, D.K., Sohn, K.*
Transportation Research Part C: Emerging Technologies (2022)
Modeling Preference for Mobility-as-a-Service
Modeling Preference for Mobility-as-a-Service
Tourists’ Preference on the Combination of Travel Modes under Mobility-as-a-Service Environment
Kim, E.J., Kim, Y., Jang, S.H., Kim, D.K.*
Transportation Research Part A: Policy and Practice (2021)
Data-driven Evaluation of Travel Behaviour
Data-driven Evaluation of Travel Behaviour
Activity-based TOD Typology for Seoul Transit Station Areas Using Smart-card Data
Shin, Y., Kim, D.K., Kim, E.J.*
Journal of Transport Geography (2022)
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