黄迪，现任东南大学交通学院副研究员、博士研究生导师，东南大学复杂交通网络研究中心副主任，入选江苏省科协青年科技人才托举工程（2023）。2020至2022年于香港理工大学物流与航运学系担任博士后研究员。目前担任江苏省工程师学会副秘书长、江苏省综合交通运输学会青年专家人才委员会委员、中国优选法统筹法与经济数学研究会网络科学分会理事等职务。
主要研究领域聚焦复杂城市交通系统供需平衡高效计算、大规模无人驾驶公交系统协同控制、供应链管理与优化等多个前沿多学科交叉方向。在国内外知名期刊发表学术论文30余篇，其中20余篇被SCI/SSCI检索，ESI高被引论文3篇，授权发明专利5项。获2022年度中国智能交通协会科技进步奖二等奖（排1）、2023年度江苏省交通技术能手、2023年度第一届“姑苏杯”长三角智能交通创新技术应用大赛高校专题赛特等奖（排1）、2023年度中国公路学会科学技术奖三等奖（排3）、2023年度江苏省高等学校科学技术研究成果奖二等奖（排2）、2023年度江苏省科学技术奖一等奖（排9）、2024年度中国智能交通协会科技进步奖一等奖（排3）等荣誉。
欢迎有较强数学建模、统计学、机器学习、计算机编程等方面基础，对科研有深入兴趣的同学报考硕士、博士研究生。
联系电话：13913906795
电子邮箱：dihuang@seu.edu.cn
办公地址：东南大学九龙湖校区交通大楼1013
科研项目
国家自然科学基金青年项目，成网条件下无人驾驶与常规公交混合系统协同运行优化方法研究，项目负责人，在研
国家自然科学基金国际(地区)合作与交流项目，城市MaaS系统多方式协同运营关键问题研究，项目负责人，在研
GF科技创新特区，冲突实时消解多阶段协同计算，项目负责人，在研
华为技术有限公司，供应链增量学习高效排产技术合作项目，项目负责人，在研
江苏省基础研究计划（自然科学基金）前沿引领技术基础研究专项攀登项目，交通数字孪生供需平衡计算与仿真优化方法，项目骨干，在研
南京现代综合交通实验室开放课题，综合交通系统供需平衡理论研究，项目骨干，在研
Selected Publication
Zhang, J., Huang, D.*, Liu, Z., Zheng, Y., Han, Y., Liu, P., & Huang, W. (2024). A data-driven optimization model for freeway traffic state estimation based on heterogeneous sensor data fusion. Transportation Research Part E,189, 103656.
Huang, D., Peng, X., Liu, Z.*, Chen, J., & Liu, P. (2024). Understanding the route choice behavior of metro passenger using the smartphone applications. Travel Behaviour and Society, 36, 100804.
Huang, D., Zhang, J., Liu, Z.*, He, Y., & Liu, P. (2024). A novel ranking method based on semi-SPO for battery swapping allocation optimization in a hybrid electric transit system. Transportation Research Part E, 188, 103611.
Huang, D., Yang, Y., Peng, X., Huang, J., Mo, P., Liu, Z.*, Wang, S. (2024). Modelling the pedestrian’s willingness to walk on the subway platform: A novel approach to analyze in-vehicle crowd congestion. TransportationResearchPart E, 181, 103359.
Huang, D., Zhang, J., Liu, Z.* (2023). A robust coordinated charging scheduling approach for hybrid electric bus charging systems, Transportation Research Part D, 125, 103955.
Fu, X.*,Wu Y., & Huang, D. (2022). An activity-based model for transit network design and activity location planning in a three-party game framework. TransportationResearchPart E, 168, 102939.
Huang, D.* & Wang, S. (2022). A two-stage stochastic programming model of coordinated electric bus charging scheduling for a hybrid charging scheme. Multimodal Transportation, 1(1): 100006.
Huang, D., Wang, Y., Jia, S., Liu, Z.*, & Wang, S. (2022). A Lagrangian relaxation approach for the electric bus charging scheduling optimization problem. Transportmetrica A, 19(2), 2023690(ESI highly cited paper)
Huang, D., Wang, S. & Liu, Z.* (2021). A systematic review of prediction methods for emergency management. International Journal of Disaster Risk Reduction, 62, 102412.
Zuo, Y., Fu, X., Liu, Z., & Huang, D. (2021). Short-term forecasts on individual accessibility in bus system based on neural network model. Journal of Transport Geography, 93, 103075.
Huang, D., Xing, J., Liu, Z.*, & An, Q. (2021) A multi-stage stochastic optimization approach to the stop-skipping and bus lane reservation schemes. Transportmetrica A, 17(4), 1272-1304.
An, Q., Fu, X., Huang, D.,Cheng, Q., & Liu, Z.* (2020) Analysis of adding-runs strategy for peak-hour bus services. TransportationResearchPart E, 143, 102100.
Huang, D., Chen, X., Liu, Z.*, Lyu, C., Wang, S. & Chen, X. (2020) A static bike repositioning model in a hub-and-spoke network framework. Transportation Research Part E, 141, 102031.
Huang, D., Gu, Y., Wang, S., Liu, Z.*, & Zhang, W. (2020) A two-phase optimization model for the demand-responsive customized bus network design. Transportation Research Part C, 111, 1-21.(ESI highly cited paper)
Huang, D., Liu, Z.*, Fu, X., & Blythe, PT. (2018). A multimodal bus network design approach in a hub-and-spoke network framework. Transportmetrica A, 14(8), 706-735.
Huang, D., Liu, Z.*, Liu, P., & Chen, J. (2016). Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure. Transportation Research Part E, 96, 1-19.
Zhou, B., Bliemer, M. C.*, Li, X., & Huang, D. (2015). A modified truncated Newton algorithm for the logit-based stochastic user equilibrium problem. Applied Mathematical Modelling, 39(18), 5415-5435.
