| Transformer-based map-matching model with limited labeled data using transfer-learning approach Z Jin, J Kim, H Yeo, S Choi Transportation Research Part C: Emerging Technologies 140, 103668, 2022 | 44 | 2022 |
| From prediction to prevention: Leveraging deep learning in traffic accident prediction systems Z Jin, B Noh Electronics 12 (20), 4335, 2023 | 10 | 2023 |
| Deep learning-based approach on risk estimation of urban traffic accidents Z Jin, B Noh, H Cho, H Yeo 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 9 | 2022 |
| A framework for pedestrian sub-classification and arrival time prediction at signalized intersection using preprocessed Lidar data T Lin, Z Jin, S Choi, H Yeo arXiv preprint arXiv:2201.05877, 2022 | 5 | 2022 |
| Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction J Hwang, B Noh, Z Jin, H Yeo 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
| A gentle introduction and tutorial on deep generative models in transportation research S Choi, Z Jin, SW Ham, J Kim, L Sun arXiv preprint arXiv:2410.07066, 2024 | 2 | 2024 |
| Do enhanced school zone policies improve pedestrians' safety? A deep learning-based case study of Osan City, South Korea Z Jin, W No, B Noh Cities 156, 105505, 2025 | 1 | 2025 |
| SaliencyMix+: Noise-Minimized Image Mixing Method with Saliency Map in Data Augmentation H Lee, Z Jin, J Woo, B Noh IEEE Access, 2025 | | 2025 |
| Macroscopic Dynamic Lane Allocation for Ride-Sharing Vehicles: Incorporating Local Correction Factor Z Jin, N Geroliminis, L Leclercq MFTS 2024, 2024 | | 2024 |
| Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations Z Jin, D Tsitsokas, N Geroliminis, L Leclercq arXiv preprint arXiv:2405.14257, 2024 | | 2024 |
| A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time T Lin, Z Jin, S Choi, H Yeo arXiv preprint arXiv:2404.15635, 2024 | | 2024 |
| A Bi-level Method for Link Speed Estimation Based on Macroscopic Fundamental Diagram Using Deep Learning Z Jin, D Tsitsokas, N Geroliminis, L Leclercq TRB 2024, 2024 | | 2024 |
| Predicted Relative Time-to-Collision: Evaluating Pedestrian Potential Risk at Non-Signalized Intersections T Lin, Z Jin, H Yeo, I Kim ICTCT Conference 2024, 2024 | | 2024 |
| Evaluation of Pedestrians Potential Risk at Non-Signalized Intersections Based on Predicted Relative Time-To-Collision Using Deep Learning Trajectory Prediction Method T Lin, Z Jin, S Choi, H Yeo 대한교통학회 학술대회지, 61-61, 2023 | | 2023 |
| Prioritized Phase Split Optimization for Coordinated Traffic Signal Control in Urban Network Using Deep Reinforcement Learning H Kim, Z Jin, H Tak, H Yu, H Yeo 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| TMM: Transformer-based Map-matching Model with Transfer Learning Approach Z Jin, S Choi, H Yeo TRB 101st Annual Meeting, 2022 | | 2022 |
| Evaluation of Vulnerable Pedestrian Potential Risk at Intersection Based on Arrival Time Prediction using Deep Learning T Lin, Z Jin, H Yeo The Korea Institute of ITS International Conference 2022, 2022 | | 2022 |
| Tsafernet: Predicting Risk Severity of Urban Traffic Accidents and Identifying Risk Sources Using Mobility Data and Road Geometry H Cho, Z Jin, Y Kim, H Yeo, B Noh Available at SSRN 4466979, 0 | | |
Hwasoo YeoDept. of Civil and Enviromental Eng., KAISTVerified email at kaist.ac.kr