The published journals in PDF format can also be found here.
Tak, S., Kim, S., & Lee, D*. (2024). "Risk‐based Maximum Speed Advisory System for Driving Safety of Connected and Automated Bus", IET Intelligent Transport Systems, vol.18, pp.2896-2920.
B.Woo, D. Lee, Y. Chang, S. Park and S. Tak*. (2024). “An Optimal Road Network Extraction Methodology for an Autonomous Driving-Based Demand-Responsive Transit Service Considering Operational Design Domains”, Sustainability, vol.16, no.20, pp.8819.
D. Lee*. (2024). “Driving Safety Area Classification for Automated Vehicles on Data Augmentation Using Generative Models”, Sustainability, vol.16, no.11, pp.4337, 2024.
D. Lee*. (2024). “Transfer Learning-Based Deep Reinforcement Learning Approach for Robust Route Guidance in Mixed Traffic Environment”, IEEE Access, vol.12, pp.61667-61680, 2024.
S. Choi, D. Lee, S. Kim and S. Tak*. (2023). “Framework for Connected and Automated Bus Rapid Transit with Sectionalized Speed Guidance based on deep reinforcement learning: Field test in Sejong City”, Transportation Research Part C: Emerging Technologies, vol.148, pp.104049.
D. Lee* and Y. Ahn, “A Study on the Analysis of Spatial Characteristics with Respect to Regional Mobility Using Clustering Technique Based on Origin-Destination Mobility Data”, The Journal of The Korea Institute of Intelligent Transport, vol.22, no.1, pp.219-232, 2023.
D. Lee, S. Tak* and S. Kim. (2022). “Development of Reinforcement Learning-based Traffic Predictive Route Guidance Algorithm Under Uncertain Traffic Environment”, IEEE Access, vol.10, pp.58623-58634.
J. Kim and D. Lee*. (2022). “Study on the Extraction Method of Sub-Network for Optimal Operation of Connected and Automated Vehicle-Based Mobility Service and Its Implication”, Sustainability, vol.14, no.6, pp.3688.
S. Kim, H. Yu and D. Lee*. (2022). “Analysis of Relationship between Road Geometry and Automated Driving Safety for Automated Vehicle-Based Mobility Service”, Sustainability, vol.14, no.4, pp.2336.
D. Lee, S. Kim, S. Tak and H. Yeo*. (2019). “Real-Time Feed-Forward Neural Network-based Forward Collision Warning System under Cloud Communication Environment”, IEEE Transactions on Intelligent Transportation Systems, vol.20, no.12, pp.4390-4404.
D. Lee, S. Tak, S. Choi and H. Yeo*. (2019). “Development of Risk Predictive Collision Avoidance System and Impact on Traffic and Vehicular Safety”, Transportation Research Record: Journal of the Transportation Research Board, vol.2673, no.7, pp.454-465.
D. Ka, D. Lee, H. Yeo*, “Development of Predictive Pedestrian Collision Warning Service Considering Pedestrian Characteristics”, The Journal of the Korea Institute of Intelligent Transportation Systems, Vol.18, No.3, pp.68-83, 2019.
D. Ka, D. Lee, S. Kim and H. Yeo*. (2019). “Study On the Framework of Intersection Pedestrian Collision Warning System Considering Pedestrian Characteristics”, Transportation Research Record: Journal of the Transportation Research Board, vol.2673, no.5, pp.747-758.
S. Kim, S. Tak, D. Lee and H. Yeo*. (2019). “Distributed Model Predictive Approach for Large-scale Road Network Perimeter Control”, Transportation Research Record: Journal of the Transportation Research Board, vol.2673, no.5, pp.515-527.
S. Tak, H. Kim, K. Kang, D. Lee*, “A Study on the Introduction for Automated Vehicle-based Mobility Service Considering the Level of Service of Road Infrastructure”, The Journal of the Korea Institute of Intelligent Transportation Systems, Vol.18, No.5, pp.19-33, 2019.
S. Tak, K. Kang, D. Lee*, “Development of V2I2V Communication-based Collision Prevention Support Service Using Artificial Neural network”, The Journal of the Korea Institute of Intelligent Transportation Systems, Vol.18, No.5, pp.126-141, 2019.
S. Kim, Y. Byon, D. Lee, H. Yeo*. (2018). “Measuring health of highway network configuration against dynamic Origin Destination demand network using weighted complex network analysis”, PLOS ONE, Vol.13, No.11, pp. 1-21.
S. Tak, S. Kim, D. Lee, H. Yeo*. (2018). “A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System”, Journal of Advanced Transportation, 2018, 1-14.
S. Tak, D. Lee, H. Yeo*. (2017). “A Study on Impact of SPAD and Signal Failure Events on Railway Safety Based on Incorporating Train Drivers’ Behaviors into Train-Simulator”, International Journal of Railway, Vol.10, No.2, pp. 40-49.
D. Lee, S. Tak, S. Park and H. Yeo*. (2017). “Real-Time Associative Memory–Based Rear-End Collision Warning System”, Transportation Research Record: Journal of the Transportation Research Board, 2621, pp.1-9.
D. Lee, and H. Yeo*. (2016). “Real-Time Rear-End Collision Warning System Using a Multi-Layer Perceptron Neural Network”, IEEE Transactions on Intelligent Transportation Systems, Vol.17, No.11, pp. 3087-3097.
D. Lee, S. Tak, S. Kim, and H. Yeo*, “A Conceptual Study of a Framework for Real-Time Railway Safety Monitoring and Control System Based on Safety Performance Monitoring Indicators”, Journal of the Korean Society for Railway, Vol.19. No.4, pp.1-13, 2016.
D. Lee, H. Yeo*, S. Kim, and S. Kim, “A study on the Framework for Real-time Railway Safety Integrated Monitoring and Control System”, Journal of the Korean Society for Urban Railway, Vol.3, No.2, pp.367-373, 2015.
J. Lee, D. Lee, Y. Yoon*, “A Study on Aviation Safety Plan and Safety Performance Indicator of the Domestic and International Case Studies”, Journal of Korean Society of Transportation, Vol.32, No.5, pp.431-440, 2014.
(under review) Donghoun Lee*. Hierarchical Strategies of Optimizing Route Planning for Automated Vehicle-based Demand Responsive Transit.
(under review) Donghoun Lee*. Constrained Reinforcement Learning for Route Guidance in a Large Scale Road Network.
D. Lee, S. Tak, S. Choi and H. Yeo*, “Development of Risk Predictive Collision Avoidance System and Impact on Traffic and Vehicular Safety”, 98th Transportation Research Board Annual Meeting, Washington, DC, USA, 2019.
D. Ka, D. Lee, S. Kim and H. Yeo*, “Study On the Framework of Intersection Pedestrian Collision Warning System Considering Pedestrian Characteristics”, 98th Transportation Research Board Annual Meeting, Washington, DC, USA, 2019.
S. Kim, S. Tak, D. Lee and H. Yeo*, “Distributed Model Predictive Approach for Large-scale Road Network Perimeter Control”, 98th Transportation Research Board Annual Meeting, Washington, DC, USA, 2019.
J. Yoon, S. Tak, D. Lee and H. Yeo*, "C-ITS 서비스 만족도 개선을 위한 미시적 차량 정보 및 거시적 V2I2V 통신 정보를 활용한 충돌 경고 서비스에 관한 연구", 2019 Korean Institute of ITS Conference, Jeju, South Korea, 2019.
D. Ka, D. Lee and H. Yeo*, "영상처리를 통한 신호교차로에서의 보행자 횡단 의도 파악", 2018 Korean Institute of ITS Conference, Jeju, South Korea, 2018.
S. Tak, S. Choi, D. Lee and H. Yeo*, "A Comparison Analysis of Track-Based Train Operation System and Communication-Based Tran Operation System for Train Safety", 96th Transportation Research Board Annual Meeting, Washington, DC, USA, 2017.
S.Tak, D. Lee, S. Choi and H. Yeo*, "Collision Avoidance System with Uni-directional Communication for Mitigating the Adverse Effects on Following Vehicles", 23rd International Conference on Urban Transport and the Environment, Rome, Italy, 2017.
D. Lee, H. Yeo* and J. Suh, "A Study on Development of Real-time Railway Accident Prevention and Control System Based on Event Sequence Diagram", 2016 Spring Conference of the Korean Society for Urban Railway, Jeju, South Korea, 2016.
D. Lee, S. Tak and H. Yeo*, "A Simulation-based Analysis to the Impact of Train Drivers' Behaviors on Railway Safety: the Cases of SPAD and Signal Failure Events", 1st Asian Conference on Railway Engineering and Transportation, Jeju, South Korea, 2016.
D.Lee, H. Yeo*, S. Kim and S. Kim, "A Study on the Framework for Real-time Railway Safety Integrated Monitoring and Control System", 2015 Spring Conference of the Korean Society for Urban Railway, Jeju, South Korea, 2015.
D.Lee and H. Yeo*, "A Study on the Rear-End Collision Warning System by Considering Different Perception-Reaction Time Using Multi-Layer Perceptron Neural Network", Seoul, South Korea, 2015.
VEHICLE DRIVING MANAGEMENT SYSTEM, CLIENT FOR VEHICLE DRIVING MANAGEMENT, SERVER DEVICE, AND METHOD FOR VEHICLE DRIVING MANAGEMENT
Issuing country: South Korea
Publication Number: 1025871190000
Publication Date: 2023/10/04
CONTROL SERVER THAT SUPPORTS SAFETY MONITORING AND OPERATIONAL DESIGN DOMAIN OF CONNECTED AUTONOMOUS VEHICLE
Issuing country: South Korea
Publication Number: 1025083670000
Publication Date: 2023/03/06
CONTROL SERVER THAT PROVIDES AN ADVISORY SPEED LIMIT FOR AUTONOMOUS VEHICLE
Issuing country: South Korea
Publication Number: 1024977160000
Publication Date: 2023/02/03
CONTROL SERVER THAT GENERATES ROUTE GUIDANCE DATA THROUGH TRAFFIC PREDICTION BASED ON REINFORCEMENT LEARNING
Issuing country: South Korea
Publication Number: 1024613620000
Publication Date: 2022/10/26
SERVER AND METHOD FOR MANAGING SHARED AUTONOMOUS VEHICLES
Issuing country: South Korea
Publication Number: 1022795860000
Publication Date: 2021/07/14
SYSTEM AND METHOD FOR CONTROLLING TRAFFIC SIGNALS BASED ON DISTRIBUTED PREDICTION
Issuing country: South Korea
Publication Number: 1021794330000
Publication Date: 2020/11/10
REAL-TIME SYSTEM AND METHOD FOR WARNING REAR-END COLLISION
Issuing country: South Korea
Publication Number: 1021019750000
Publication Date: 2020/04/10
SYSTEM AND METHOD FOR WARNING PEDESTRIAN COLLISION
Issuing country: South Korea
Publication Number: 1021019860000
Publication Date: 2020/04/10
SYSTEM FOR CONTROLING TRAFFIC OF HIGHWAY
Issuing country: South Korea
Publication Number: 1021019910000
Publication Date: 2020/04/10
Simulation of Urban Region-based Traffic Signal Control and Traffic State Estimation
Copyright number: C-2018-026662
Human Behavior-based Train Simulation Program
Copyright number: C2016-001257
Aviation Risk Identification and Assessment Program
Copyright number: C-2014-012791
2016 제5회 교통데이터 활용 공모전 한국도로공사 사장상
“Safety Shield” (앱 개발 부분)
IEEE IV2015 Best Student Paper Award
“A Study on the Rear-End Collision Warning System by Considering Different Perception-Reaction Time Using Multi-Layer Perceptron Neural Network”
Only 3 winners out of 223 papers
2015 Korean Society for Urban Railway Annual Spring Conference Best Paper Award
“A Study on the Framework for Real-time Railway Safety Integrated Monitoring and Control System”