| Application of transparent dye-sensitized solar cells to building integrated photovoltaic systems S Yoon, S Tak, J Kim, Y Jun, K Kang, J Park Building and Environment 46 (10), 1899-1904, 2011 | 271 | 2011 |
| Data-driven imputation method for traffic data in sectional units of road links S Tak, S Woo, H Yeo IEEE Transactions on Intelligent Transportation Systems 17 (6), 1762-1771, 2016 | 133 | 2016 |
| 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 |
| Impact of autonomous-vehicle-only lanes in mixed traffic conditions H Yu, S Tak, M Park, H Yeo Transportation research record 2673 (9), 430-439, 2019 | 60 | 2019 |
| 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 |
| Study on the framework of hybrid collision warning system using loop detectors and vehicle information S Tak, S Woo, H Yeo Transportation Research Part C: Emerging Technologies 73, 202-218, 2016 | 31 | 2016 |
| 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 |
| 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 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 |
| 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, 1-15, 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 20 (12), 4390-4404, 2018 | 16 | 2018 |
| Effect of the changeable organic semi-transparent solar cell window on building energy efficiency and user comfort S Tak, S Woo, J Park, S Park Sustainability 9 (6), 950, 2017 | 16 | 2017 |
| Sectional information-based collision warning system using roadside unit aggregated connected-vehicle information for a cooperative intelligent transport system S Tak, J Yoon, S Woo, H Yeo Journal of advanced transportation 2020, 1-12, 2020 | 15 | 2020 |
| Distributed model predictive approach for large-scale road network perimeter control S Kim, S Tak, D Lee, H Yeo Transportation Research Record 2673 (5), 515-527, 2019 | 15 | 2019 |
| Investigating transfer flow between urban networks based on a macroscopic fundamental diagram S Kim, S Tak, H Yeo Transportation Research Record 2672 (20), 75-85, 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 |
| Identifying major accident scenarios in intersection and evaluation of collision warning system Y Kim, S Tak, J Kim, H Yeo 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 12 | 2017 |
| 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 |
| Trajectory data analysis on the spatial and temporal influence of pedestrian flow on path planning decision J Kim, S Tak, M Bierlaire, H Yeo Sustainability 12 (24), 10419, 2020 | 9 | 2020 |
Hwasoo YeoDept. of Civil and Enviromental Eng., KAISTkaist.ac.kr의 이메일 확인됨
