Follow
Donghoun Lee
Donghoun Lee
Department of Artificial Intelligence and Data Science at Sejong University
Verified email at sejong.ac.kr
Title
Cited by
Cited by
Year
Real-time rear-end collision-warning system using a multilayer perceptron neural network
D Lee, H Yeo
IEEE Transactions on Intelligent Transportation Systems 17 (11), 3087-3097, 2016
732016
A study on the rear-end collision warning system by considering different perception-reaction time using multi-layer perceptron neural network
D Lee, H Yeo
2015 IEEE Intelligent Vehicles Symposium (IV), 24-30, 2015
402015
A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System
S Tak, K Sunghoon, D Lee, H Yeo
Journal of Advanced Transportation 2018, 1-15, 2018
252018
Study On the Framework of Intersection Pedestrian Collision Warning System Considering Pedestrian Characteristics
D Ka, D Lee, S Kim, H Yeo
Transportation Research Record: Journal of the Transportation Research Board …, 2019
242019
Real-Time Feed-Forward Neural Network-Based Forward Collision Warning System Under Cloud Communication Environment
D Lee, S Kim, S Tak, H Yeo
IEEE Transactions on Intelligent Transportation Systems 20 (12), 4390-4404, 2019
162019
Distributed Model Predictive Approach for Large-scale Road Network Perimeter Control
S Kim, S Tak, D Lee, H Yeo
Transportation Research Record: Journal of the Transportation Research Board …, 2019
152019
Measuring health of highway network configuration against dynamic Origin-Destination demand network using weighted complex network analysis
S Tak, S Kim, YJ Byon, D Lee, H Yeo
PLOS ONE 13 (11), 1-21, 2018
102018
Analysis of Relationship between Road Geometry and Automated Driving Safety for Automated Vehicle-Based Mobility Service
S Tak, S Kim, H Yu, D Lee
Sustainability 14 (4), 2336, 2022
82022
Development of Risk Predictive Collision Avoidance System and Its Impact on Traffic and Vehicular Safety
D Lee, S Tak, S Choi, H Yeo
Transportation Research Record: Journal of the Transportation Research Board …, 2019
82019
Development of Predictive Pedestrian Collision Warning Service Considering Pedestrian Characteristics
K Dongho, D Lee, H Yeo
The Journal of the Korea Institute of Intelligent Transport Systems 18 (3 …, 2019
82019
Framework for Connected and Automated Bus Rapid Transit with Sectionalized Speed Guidance based on deep reinforcement learning: Field test in Sejong City
S Choi, D Lee, S Kim, S Tak
Transportation Research Part C: Emerging Technologies 148, 104049, 2023
72023
Real-time associative memory–based rear-end collision warning system
D Lee, S Tak, S Park, H Yeo
Transportation Research Record: Journal of the Transportation Research Board …, 2017
72017
Development of Reinforcement Learning-based Traffic Predictive Route Guidance Algorithm Under Uncertain Traffic Environment
D Lee, S Tak, S Kim
IEEE Access 10, 58623-58634, 2022
62022
A Study on the Introduction for Automated Vehicle-based Mobility Service Considering the Level Of Service of Road Infrastructure
S Tak, H Kim, K Kang, D Lee
The Journal of The Korea Institute of Intelligent Transport Systems 18 (5 …, 2019
42019
A Study on the Framework for Real-time Railway Safety Integrated Monitoring and Control System
D Lee, S Kim, S Kim, H Yeo
Journal of the korean society for urban railway 3 (2), 367-373, 2015
42015
A Conceptual Study of a Framework for Real-Time Railway Safety Monitoring and Control System Based on Safety Performance Monitoring Indicators
D Lee, S Tak, S Kim, H Yeo
Journal of the Korean Society for Railway 19 (4), 526-538, 2016
32016
Study on the Extraction Method of Sub-Network for Optimal Operation of Connected and Automated Vehicle-Based Mobility Service and Its Implication
S Tak, J Kim, D Lee
Sustainability 14 (6), 3688, 2022
22022
COLLISION AVOIDANCE SYSTEM WITH UNI-DIRECTIONAL COMMUNICATION FOR MITIGATING THE ADVERSE EFFECTS ON FOLLOWING VEHICLES
S TAK, D LEE, S CHOI, H YEO
WIT Transactions on The Built Environment 176, 417-429, 2017
22017
Development of V2I2V Communication-based Collision Prevention Support Service Using Artificial Neural Network
S Tak, K Kang, D Lee
The Journal of The Korea Institute of Intelligent Transport Systems 18 (5 …, 2019
12019
A Comparison Analysis of Track-Based Train Operation System and Communication-Based Train Operation System for Train Safety
S Tak, S Choi, D Lee, H Yeo
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20