| 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 | 69 | 2015 |
| 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 | 59 | 2016 |
| 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 | 47 | 2014 |
| 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 | 43 | 2017 |
| 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 | 31 | 2016 |
| 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 | 25 | 2019 |
| 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 | 25 | 2018 |
| 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 | 25 | 2018 |
| Agent-based pedestrian cell transmission model for evacuation S Tak, S Kim, H Yeo Transportmetrica A: Transport Science 14 (5-6), 484-502, 2018 | 21 | 2018 |
| 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 | 18 | 2021 |
| 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 | 16 | 2018 |
| 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 | 15 | 2019 |
| Investigating Transfer Flow between Urban Networks Based on a Macroscopic Fundamental Diagram S Kim, S Tak, H Yeo Transportation Research Record, 0361198118778927, 2018 | 15 | 2018 |
| 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 | 15 | 2016 |
| 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 | 10 | 2018 |
| 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 | 10 | 2013 |
| 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 | 9 | 2014 |
| 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 2021 |
Hwasoo YeoDept. of Civil and Enviromental Eng., KAISTkaist.ac.kr의 이메일 확인됨
