基本情况
刘迪一，男，博士。2024年于美国田纳西大学诺克斯维尔分校获得交通工程博士学位。现主要从事利用机器学习/深度学习技术的交通信息感知，交通流预测等方面的研究。共发表相关论文/报告7篇，发表在Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Accident Analysis & Prevention，Transportation Research Record等权威期刊。获国家发明专利一项。
教育工作背景
2025/10至今：北京工业大学yh533388银河官网版，教师
2024/10-2025/6：美国乔治华盛顿大学，博士后
2022-2023：美国橡树岭国家实验室，研究助理
2021/01-2024/08：美国田纳西大学诺克斯维尔分校，交通工程博士
2018/08-2020/01：美国佐治亚理工学院，交通工程硕士
2017/06-2018/08：美国哥伦比亚大学，统计学硕士
2016/08-2017/06：美国加州大学伯克利分校，交通工程硕士
2012/08-2016/06：东南大学交通学院，交通工程学士
研究方向
交通信息感知，交通流预测；
参与的科研项目
National Institute of Environmental Health Sciences (1-P20ES036775)
Center for Freight Transportation for Efficient & Resilient Supply Chain (FERSC)
NSF (2038922): Secure Constrained Machine Learning for Critical Infrastructure CPS
Tennessee Department of Transportation (TDOT): Smartway program
National Center for Sustainable Transportation (NCST): Evaluating Sustainability Impacts of Intelligent Carpooling/Vanpooling System among SOV Commuters – Phase II: Park and Ride Interactions (GT-DG-F20-55)
National Center for Sustainable Transportation (NCST): Evaluating Sustainability Impacts of Intelligent Carpooling/Vanpooling System among SOV Commuters – Phase II: Park and Ride Interactions (GT-DOT-613)
科研成果
Liu, D., Gu, Y., Zhang, H., Khojastehpour, M., & Han, L. D. (2026). TIE-LR: A multi-module deep learning framework for traffic monitoring on low-resolution videos. Engineering Applications of Artificial Intelligence, 163, 113112.
Liu, D., Lim, H., Uddin, M., Liu, Y., Han, L. D., Hwang, H. L., & Chin, S. M. (2024). Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques. Expert Systems with Applications, 240, 122478.
Liu, D., Guo, J., Gu, Y., King, M., Han, L. D., & Brakewood, C. (2025). Analyzing Transit Systems Using General Transit Feed Specification (GTFS) by Generating Spatiotemporal Transit Networks. Information (2078-2489), 16(1).
Gu, Y., Liu, D., Stanford, J., & Han, L. D. (2022). Innovative Method for Estimating Large Truck Volume Using Aggregate Volume and Occupancy Data Incorporating Empirical Knowledge Into Linear Programming. Transportation research record, 2676(11), 648-663.
Gu, Y., Liu, D., Arvin, R., Khattak, A. J., & Han, L. D. (2023). Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest. Accident Analysis & Prevention, 179, 106880.
Gu, Y., Liu, Y., Liu, D., Han, L. D., & Jia, X. (2024). Spatiotemporal kernel density clustering for wide area near Real-Time pothole detection. Advanced Engineering Informatics, 60, 102351.
Gu, Y., Liu, D., Kim, H., & Han, L. D. (2024). Discover Spatiotemporal Association and Causation between Potholes and Flat Tire Frequency. Journal of Infrastructure Systems, 30(4), 04024020.
Liu, D., Shiledar, A., Lim, H., Sujan, V., Siekmann, A., Fan, J., & Han, L. D. (2024). An Iterative Algorithm to Impute Truck Information over Nationwide Traffic Networks. arXiv preprint arXiv:2411.00789.
Liu, D., Fan, H., Guin, A., & Guensler, R. (2024). Evaluating Carpool Potential for Home-to-Work SOV Commuters Using a Scalable and Practical Simulation Framework.
Liu, D. (2020). Evaluating the Sustainability Impacts of Intelligent Carpooling Systems for SOV Commuters in the Atlanta Region (Master's thesis, Georgia Institute of Technology).
Liu, D., Gu, Y., & Han, L. D. (2024). Estimating journey time for two-point vehicle re-identification survey with limited observable scope using 2-dimensional truncated distributions. arXiv preprint arXiv:2411.02539.
