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Sunghoon Kim
Sunghoon Kim
The Korea Transport Institute
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Development of a deceleration-based surrogate safety measure for rear-end collision risk
S Tak, S Kim, H Yeo
IEEE transactions on intelligent transportation systems 16 (5), 2435-2445, 2015
712015
A Flow-based Vulnerability Measure for the Resilience of Urban Road Network
S Kim, H Yeo
Procedia-Social and Behavioral Sciences 218, 13-23, 2016
602016
Real-time travel time prediction using multi-level k-nearest neighbor algorithm and data fusion method
S Tak, S Kim, K Jang, H Yeo
Computing in Civil and Building Engineering (2014), 1861-1868, 2014
472014
Evaluating link criticality of road network based on the concept of macroscopic fundamental diagram
S Kim, H Yeo
Transportmetrica A: Transport Science 13 (2), 162-193, 2017
432017
A study on the traffic predictive cruise control strategy with downstream traffic information
S Tak, S Kim, H Yeo
IEEE Transactions on Intelligent Transportation Systems 17 (7), 1932-1943, 2016
312016
A Comparison Analysis of Surrogate Safety Measures with Car-Following Perspectives for Advanced Driver Assistance System
S Tak, S Kim, D Lee, H Yeo
Journal of Advanced Transportation 2018, 2018
262018
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
252019
Agent-based network transmission model using the properties of macroscopic fundamental diagram
S Kim, S Tak, H Yeo
Transportation Research Part C: Emerging Technologies 93, 79-101, 2018
252018
Agent-based pedestrian cell transmission model for evacuation
S Tak, S Kim, H Yeo
Transportmetrica A: Transport Science 14 (5-6), 484-502, 2018
212018
Development of AI-Based Vehicle Detection and Tracking System for C-ITS Application
S Tak, JD Lee, J Song, S Kim
Journal of Advanced Transportation 2021 (Article ID 4438861), 2021
192021
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, 2018
172018
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
Investigating Transfer Flow between Urban Networks Based on a Macroscopic Fundamental Diagram
S Kim, S Tak, H Yeo
Transportation Research Record, 0361198118778927, 2018
152018
Development of a Data‐Driven Framework for Real‐Time Travel Time Prediction
S Tak, S Kim, S Oh, H Yeo
Computer‐Aided Civil and Infrastructure Engineering 31 (10), 777-793, 2016
152016
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), e0206538, 2018
102018
Study on the structure of safety performance indicators for airline companies
S Kim, S Oh, J Suh, K Yu, H Yeo
Proceedings of the Eastern Asia Society for Transportation Studies. Taipei …, 2013
102013
Travel time prediction for Origin-Destination pairs without route specification in urban network
S Tak, S Kim, H Yeo
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International …, 2014
92014
The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System
S Tak, S Woo, S Park, S Kim
Sustainability 13 (12), 6725, 2021
82021
Design of reinforcement learning for perimeter control using network transmission model based macroscopic traffic simulation
J Yoon, S Kim, YJ Byon, H Yeo
PloS one 15 (7), e0236655, 2020
62020
A Study on Travel Time Estimation of Diverging Traffic Stream on Highways Based on Timestamp Data
S Kim, Y Hwapyeong, H Yeo
Journal of Advanced Transportation 2021, 8846634, 2021
52021
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