교통시스템공학과

연구성과

연구실적

• 2024.4~2025.8 고속도로의 모빌리티 혁신 서비스 모델 구축 전략 수립연구(한국도로공사)
• 2024.01~ 2024.06 교통 시뮬레이션을 위한 DRT 통행 발생 모델 개발(Studio G)
• 2023.06 ~ 2024.11 고속도로 센서 미설치 구간 교통정보 생성을 위한 멀티모달 딥러닝 개발 및 적용(한국도로공사연구원)
• 2023.6~2025.02 활동 기반 교통수요 예측을 위해 모빌리티 데이터를 융합하는 생성형 인공지능(한국연구재단)

연구활동

국제 학술지(SCI(E) Journal


2024년


• Kim, E.J., Bansal, P.*, 2024. A New Flexible and Partially Monotonic Discrete Choice Model, Transportation Research Part B: Methodological
• Bansal, P., Kim, E.J., and Ozdemir, S., 2024. Discrete Choice Experiments with Eye-Tracking: How Far We Have Come and Ways Forward. Journal of Choice Modelling
• Kim, E.J., Kang, M.J., Park, S.*, 2024. Deep Survival Analysis Model for Incident Clearance Time Prediction. Journal of Intelligent Transportation System

2023년


• Joo, Y.J., Kim, E.J., Kim, D.K.*, Park, P.Y., 2023. A Generalized Driving Risk Assessment on High-Speed Highways Using Field Theory. Analytic Methods in Accident Research
• Kim, E.J., Bansal, P.*, 2023. A Deep Generative Model for Feasible and Diverse Population Synthesis. Transportation Research Part C: Emerging Technologies

국제 학술 발표


• Ding, J., Kim, E.J., Maksimenko, V., Yu, J., Bansal, P.* Can Decoy Effects Nudge Ridehailing Drivers’ Preferences to Adopt Electric Vehicles? 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
• Ham, S.W., Kim, E.J., Kim, D.K.* Establishing an Index on Adjacent Network Impact for Extensive Understanding of a Link in Urban Networks. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
• Vo, K., Kim, E.J., Bansal, P.* A Novel Data Fusion Method to Leverage Passively Collected Mobility Data in Generating Spatially Heterogeneous Synthetic Population. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
• Kwon, D., Kim, E.J., Kim, I.* Customized Deep Generative Models to Resolve the Sampling Bias in Population Synthesis. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
• Huo, J., Kim, E.J., Bansal, P.* Understanding Singaporeans' Preferences for Electric Vehicles: Insights from a Latent Class Model with Attribute Cutoffs. 103rd Transportation Research Board Annual Meeting, January 7-11, 2024, Washington, DC.
• Kim, E.J., Bansal, P.* A New Flexible and Interpretable Choice Model with Monotonicity Constraints, Non-linearity, and Taste Heterogeneity. 11th hEART 2023 Symposium, September 6-8, 2023, Zurich.
• Joo, Y.J., Kim, E.J., Kim, D.K.*, Park, P.Y. A Risk Field-based Approach for Driving Risk Assessment: Focusing on the Generalized and Realtime Application. 102nd Transportation Research Board Annual Meeting, January 8-12, 2023, Washington, DC.