鲁文博，讲师，文峰副教授，东南大学交通运输专业博士。博士在读期间受CSC资助于2023-2024年前往澳大利亚莫纳什大学进行博士研究生联合培养。主要研究方向包括无人系统、智能货运、人工智能在物流领域的应用等。累计发表研究论文20余篇，其中以第一/通讯作者在eTransportation 、Transportation Research Part E、EAAI等交通物流和人工智能领域期刊上发表论文9篇。为IEEE TITS、TRC、Transport Policy、IEEE TNSE等交通物流和人工智能应用领域的学术期刊提供同行评审服务。

代表性论文：

[1] Lu, W., Zhang, Y., Vu, H. L., Xu, J., & Li, P. (2026). A novel integrative prediction framework for metro passenger flow. Journal of Intelligent Transportation Systems, 30(3), 490-515.

[2] Lu, W., Zhang, Y., Xu, J., Yuan, Z., Li, P., Zhang, M., & Vu, H. L. (2025). Exploring spatiotemporal heterogeneity of urban green freight delivery parking based on new energy vehicle GPS data. Transportation Research Part E: Logistics and Transportation Review, 193, 103870.

[3] Lu W, Yuan Z, Wang T, et al. Will it get there? A deep learning model for predicting next-trip state of charge in Urban Green Freight Delivery with electric vehicles. eTransportation, 2024: 100372.

[4] Lu, W., Zhang, Y., Li, P., & Wang, T. (2023). Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow. Engineering Applications of Artificial Intelligence, 125, 106741.

[5] Lu, W., Xu, J., Zhang, Y., Wang, T., & Li, P. (2023). MOHP-EC: A multiobjective hierarchical prediction framework for urban rail transit passenger flow. IEEE Intelligent Transportation Systems Magazine, 15(4), 86-105.

个人主页：https://lwb951228.github.io/

Google scholar：https://scholar.google.com.hk/citations?user=8gVNtwsAAAAJ&hl=zh-CN

ResearchGate：https://www.researchgate.net/profile/Wenbo-Lu-4?ev=hdr_xprf

GitHub：https://github.com/Lwb951228

ORCID：https://orcid.org/0000-0003-3697-1493

邮箱 : 8624320863b2929120d2af48c2d635d7b1c529acf977120398fd78e34614682ce1dc3be8e625243c5c9507ab6b0bc6543030592d2daa69d3360854d5db55df25952fbe2caa18911937140044e7bea65498664d74e1e3018ab02484e4e34cdf1fc501045107fdac9e368ec05bafed3a3b94a3d826522e5ba6e20e019d655b70de