교통시스템공학과 교수 목록 - 교통시스템공학과

사람들
교수

교수정보의 상세 화면-2019
이름 김의진 학력 박사 전공 교통시스템공학전공(과)
정보	연구실 : 산학협력원 823호 연구실번호 : 2402 이메일 : euijin@ajou.ac.kr 연구관심분야 : 인공지능, 행동모형, 교통계획
학력	졸업연도/학교/학위 2021.02 서울대학교대학원 박사
경력	2021.03~2022.05 서울대학교 BK21인프라스피어 교육연구단, 박사후연구원 2022.06~2023.02 National University of Singapore, Research Fellow
논문 및 연구활동	연구활동(주요논문) [논문] Prateek Bansal, 김의진, Semra Ozdemir, Discrete choice experiments with eye-tracking: How far we have come and ways forward , Journal of Choice Modelling , pp.100478 -100478 (Jun, 2024) [논문] 김의진, Prateek Bansal, A new flexible and partially monotonic discrete choice model , TRANSPORTATION RESEARCH PART B-METHODOLOGICAL , pp.102947 -102947 (May, 2024) [논문] 김의진, 강민지, 박신형, Deep survival analysis model for incidentclearance time prediction , Journal of Intelligent Transportation Systems , pp.2315126 -2315126 (Feb, 2024) [논문] 주양준, 김의진, 김동규, Peter Y. Park, A generalized driving risk assessment on high-speed highways using field theory , Analytic Methods in Accident Research , pp.100303 -100303 (Dec, 2023) [논문] 김의진, Prateek Bansal, A deep generative model for feasible and diverse population synthesis , TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES , Vol.148 , pp.104053 -104053 (Mar, 2023) 국제학술논문지 [논문] Prateek Bansal, 김의진, Semra Ozdemir, Discrete choice experiments with eye-tracking: How far we have come and ways forward , Journal of Choice Modelling , pp.100478 -100478 (Jun, 2024) [논문] 김의진, Prateek Bansal, A new flexible and partially monotonic discrete choice model , TRANSPORTATION RESEARCH PART B-METHODOLOGICAL , pp.102947 -102947 (May, 2024) [논문] 김의진, 강민지, 박신형, Deep survival analysis model for incidentclearance time prediction , Journal of Intelligent Transportation Systems , pp.2315126 -2315126 (Feb, 2024) [논문] 주양준, 김의진, 김동규, Peter Y. Park, A generalized driving risk assessment on high-speed highways using field theory , Analytic Methods in Accident Research , pp.100303 -100303 (Dec, 2023) [논문] 김의진, Prateek Bansal, A deep generative model for feasible and diverse population synthesis , TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES , Vol.148 , pp.104053 -104053 (Mar, 2023) [논문] 신용근, 김동규, 김의진, Activity-based TOD Typology for Seoul Transit Station Areas Using Smart-card Data , Journal of Transport Geography , Vol.150 , pp.103459 -103459 (Dec, 2022) [논문] 신용우, 김동규, 김의진, Impact of Driver Behavior and Vehicle Type on Safety of Vehicle Platoon Under Lane Change Situation , TRANSPORTATION RESEARCH RECORD (Oct, 2022) [논문] 윤현수, 김의진, 함승우, 김동규, Price incentive strategy for the E-scooter sharing service using deep reinforcement learning , Journal of Intelligent Transportation Systems (Oct, 2022) [논문] 조정훈, 김동규, 김의진, Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition , PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS , Vol.600 , pp.127488 -127488 (Aug, 2022) [논문] 김의진, 김동규, 손기민, Imputing qualitative attributes for trip chains extracted from smart card data using a conditional generative adversarial network , TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES , Vol.137 , pp.103616 -103616 (Apr, 2022) [논문] 김의진, 김영서, 장성훈, 김동규, Tourists’ preference on the combination of travel modes under Mobility-as-a-Service environment , TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE , Vol.150 , pp.236 -255 (Aug, 2021) [논문] 김영서, 김의진, 장성훈, 김동규, A Comparative Analysis of the Users of Private Cars and Public Transportation for Intermodal Options under Mobility-as-a-Service in Seoul , Travel Behaviour and Society , Vol.24 , pp.68 -80 (Jul, 2021) [논문] 김의진, 김영서, 김동규, Interpretable machine-learning models for estimating trip purpose in smart card data , PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER , Vol.174 , No.2 , pp.108 -117 (Jun, 2021) [논문] 김의진, 김동규, 박신형, 정구, 권오훈, Application of naïve Bayesian approach in detecting reproducible fatal collision locations on freeway , PLoS One , Vol.16 , No.5 (May, 2021) [논문] 김의진, Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach , JOURNAL OF ADVANCED TRANSPORTATION , Vol.2021 , pp.6685004 -6685004 (Mar, 2021) [논문] 김의진, 고승영, 김동규, 정구홍, Spatiotemporal Filtering Method for Detecting Kinematic Waves in a Connected Environment , PLoS One , Vol.15 , No.12 (Dec, 2020) [논문] 함승우, 김의진, 고승영, 박호철, 김동규, Investigating the Influential Factors for Practical Application of Multi-Class Vehicle Detection for Images from Unmanned Aerial Vehicle using Deep Learning Models , TRANSPORTATION RESEARCH RECORD , Vol.2674 , No.12 , pp.1 -15 (Oct, 2020) [논문] 김의진, 고승영, 박호철, 김동규, A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed , JOURNAL OF ADVANCED TRANSPORTATION , Vol.2019 , pp.3958127 -3958127 (Dec, 2019) [논문] 김의진, 고승영, 박호철, 함승우, 김동규, Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions , JOURNAL OF ADVANCED TRANSPORTATION , Vol.2019 , pp.9060797 -9060797 (Apr, 2019) 국내학술발표 [학술회의] 임승유, 김의진, 베이지안 네트워크를 활용한 통행 의사결정 구조 분석 , 대한교통학회 제89회 학술발표회 (Oct, 2023) [학술회의] 서민수, 이규성, 김의진, 장기 예측에서 기계 학습과 통계모형의 비교: 차량 보유 선택의 맥락에서 , 대한교통학회 제89회 학술발표회 (Oct, 2023) [학술회의] 서민수, 김의진, 이규성, 임승유, 드론 영상 기반 차량검지 및 추적을 위한 YOLO 모형 학습전략 , 대한교통학회 제89회 학술발표회 (Oct, 2023)

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