Extracting vehicle trajectories using unmanned aerial vehicles in congested traffic conditions EJ Kim, HC Park, SW Ham, SY Kho, DK Kim Journal of Advanced Transportation 2019 (1), 9060797, 2019 | 60 | 2019 |
Spatiotemporal demand prediction model for e-scooter sharing services with latent feature and deep learning SW Ham, JH Cho, S Park, DK Kim Transportation research record 2675 (11), 34-43, 2021 | 46 | 2021 |
Investigating the influential factors for practical application of multi-class vehicle detection for images from unmanned aerial vehicle using deep learning models SW Ham, HC Park, EJ Kim, SY Kho, DK Kim Transportation Research Record 2674 (12), 553-567, 2020 | 11 | 2020 |
Enhancing the accuracy of peak hourly demand in bike-sharing systems using a graph convolutional network with public transit usage data JH Cho, SW Ham, DK Kim Transportation Research Record 2675 (10), 554-565, 2021 | 10 | 2021 |
Deep multimodal learning for traffic speed estimation combining dedicated short-range communication and vehicle detection system data JH Min, SW Ham, DK Kim, EH Lee Transportation research record 2677 (5), 247-259, 2023 | 8 | 2023 |
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning H Yun, EJ Kim, SW Ham, DK Kim Journal of Intelligent Transportation Systems 28 (3), 409-423, 2024 | 7 | 2024 |
User segmentation based on travel regularity in e-scooter sharing service SY Park, SW Ham, DK Kim Transportation research record 2677 (7), 290-306, 2023 | 2 | 2023 |
Rethinking Traffic Speed Prediction with Traffic Flow-Aware Graph Attention Networks SW Ham, DK Kim 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |