个人资料
- 直属机构:教师主页校级站点
- 联系电话:19962851822
- 性别:男
- 电子邮箱:wklu@suda.edu.cn
- 专业技术职务:
- 办公地址:交通大楼434
- 毕业院校:西南交通大学
- 通讯地址:苏州大学阳澄湖校区
- 学位:工学博士学位
- 邮编:
- 学历:博士研究生毕业
- 传真:
教育经历
- 本科,2010年9月-2014年6月,交通工程,西南交通大学
- 博士,2015年9月-2019年9月,交通工程,西南交通大学
- 访问学者,2015年11月-2017年1月,土木工程,Jackson Sate University (USA)
工作经历
- 2019年9月-2021年9月,Alabama Transportation Institute (USA),智能网联车建模,(博士后研究员)
- 2021年9月-现在,苏州大学轨道交通学院,智能交通、数字孪生,(讲师,硕士生导师,苏州大学“优秀青年学者”)
个人简历
卢维科,男, 中共党员,1992年11月生,本硕博均就读于西南交通大学交通运输与物流学院,专业为交通工程,2019年9月获得博士学位。研究方向为交通管理与控制、智能交通、与自动驾驶车流建模。2015年11月至2017年1月在美国杰克逊州立大学土木工程学院交通课题组以访问学者的身份学习交流;于2018年1月至6月在美国密西西比州水运研究与教育中心(Maritime Transportation Research and Education Center)作短期交流。博士毕业后进入美国阿拉巴马交通研究所(Alabama Transportation Institute)以博士后研究员身份工作两年。2021年9月以苏州大学“优秀青年学者”身份引进轨道交通学院担任讲师、硕士生导师。
现主持国家自然科学基金青年项目1项,苏大校“优青”项目1项。曾主研或参与了中国国家自然科学基金面上项目1项;国家重点研发计划专项课题子课题1项;美国交通部资助科研项目2项;四川省科技支撑项目1项等科研项目10余项。已发表期刊论文20余篇,其中一作SCI论文发表于(《Transportation Research Part C: Emerging Technologies》,《Accident Analysis&Prevention》《Transportation Research Record》,《Journal of Transportation Engineering ASCE 》,《Transport》);被交通领域国际会议TRB收录论文18篇。
研究工作主要集中在大规模微观交通仿真、自动驾驶车流建模,网络流建模以及智能交通控制。以第一完成人身份开发Python 包一个(DTSUMO),具有一些数字孪生平台开发经验。担任交通领域《Transportation Research Part C: Emerging Technologies》,《Transportation Research Record》,《Urban Rail Transit》,《Journal of Transportation Engineering ASCE 》,《Journal of Advanced Transportation》,《International journal of disaster risk reduction》,《Advances in Transportation Studies》,《Journal of Intelligent Transportation Systems: Technology, Planning, and Operations》,《Concurrency and Computation: Practice& Experience》 等学术期刊,以及国际会议Transportation Research Board (AMR20, ACP10, ACH50, ACP30, AFK30)审稿人。入库国家自然科学基金信息系统项目同行评审人。担任Alabama Transportation Institute兼职访问学者。
本人Github 网址:https://github.com/wkgj
本人ResearchGate网址:https://www.researchgate.net/profile/Weike-Lu/research
研究领域
1.智能网联车建模
2.交通数字孪生
3.网络流建模
4.路网应急疏散
开授课程
科研项目
- 1、非完全智能网联环境下路网交通流效率与安全协同研究,2021年-,卢维科,国家自然科学基金青年项目,苏州大学,30万,62103292
- 2、苏州大学优秀青年学者基金,2021年-,卢维科,苏州大学,40万
- 3、West Central Alabama ACTION Advanced Connected Transportation Infrastructure and Operations Network,6/2020.7/2021-,Shashi S. Nambisan,U.S. Department of Transportation,$16,876,921,参研
- 4、基于VISSIM的智能交通仿真平台开发,卢维科,10万
- 5、基于虚拟供需闭合区域的受控智能路网拥挤控制理论和方法,2019-,国家自然基金面上项目,62万,61873126,4/10
- 6、区域轨道交通协同运输与服务系统子课题-区域轨道交通运力资源配置与运输组织决策关键技术,7/2017.9/2019-,(参研),国家重点研发计划重点专项课题,1808万
- 7、武汉大学成都珞珈科技园项目交通影响评估与交通组织改善,08/2018.10/2018-,卢维科,4万
论文
- 1、Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Lu, W., Liu, J.,Fu, X., Yang, J., Steven,J.,TRBAM-22-04126
- 2、Multi-Agent Transmission Model of COVID-19 in Coach Bus,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Chen G. ,Lu, W., Chen, Y., Mao J., Huang, H., Liu, L.,TRBAM-22-01884
- 3、Optimal operation of the paratransit in small urban area during COVID-19 pandemic: risk assessment and exposure mitigation,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Guo, S., Lu, W., Qian X.,TRBAM-22-03262
- 4、Exploring the Spatial-temporal Anomalies in Urban Traffic Speed Data,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Mao, J.,Huang, H., Chen, Y., Lu. W., Yao, S., Liu, L.,TRBAM-22-04561
- 5、A Quasi-contagion Process Modelling and Characteristic Analysis for Real-world Urban Traffic Network Congestion Patterns,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Chen, Y., Mao, J., ,Huang, H., Lu,W., Yan, Q., Liu, L. ,TRBAM -22-01039
- 6、Research on Route Hierarchical Control Strategy from The Perspective of Macroscopic Traffic Network,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Kang, L., Lu, W., Liu, L.,TRBAM-22-01576
- 7、SGDE-S2S: A Novel Graph-based Short-term Traffic Prediction Model with Spatial Graph Representation,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Mao, J., Huang, H., Chen, Y., ,Lu, W., Chen, G., Liu L. ,TRBAM-22-01784
- 8、A hybrid dynamic propagation graph attention network with multivariate empirical mode decomposition for multistep network-wide passenger flow prediction,Transportation Research Board (TRB) 101st Annual Meeting,(Top conference),2022,Huang, H.,Mao, J., Lu, W., Liu, L.,TRBAM-22-02267
- 9、Two-phase optimization model for ride-sharing with transfers in short-notice evacuations ,Transportation Research Part C: Emerging Technologies,(Top journal),2020,Lu, W.,Liu, L., Wang, F., Zhou, X., & Hu, G.,114, 272-296.
- 10、An Analytical Approximation for the Corridor Macroscopic Fundamental Diagram of Mixed Human and Connected & Autonomous Traffic,IET Intelligent Transport Systems,(JCR, Q3),2020,Hu, G.,Lu, W., Whalin, R.W., Wang, F., & Kwembe ,T.A
- 11、A Macroscopic Fundamental Diagram Approach to Evaluating Performance of Regional Traffic Controls,Transportation Research Record: Journal of the Transportation Research Board (TRR Journal),(JCR, Q3),2020,Lu, W., Liu, J., Mao, J., ,Hu, G., Chu,C., & Liu. L.,2674(7), 420-430
- 12、Pedestrian-bus route and pickup location optimization for planning evacuation under bus resource constraints,Transport,(JCR,Q3),2020,Lu, W.,Wang, F., Liu, L., Hu, G, & Mao, J. ,1-9
- 13、Urban traffic travel time short-term prediction model based on spatio-temporal feature extraction,Journal of Advanced Transportation,(JCR,Q3),2020,Kang, L., Hu, G., ,Huang, H., Lu, W., & Liu, L.
- 14、Game Approach to Vulnerability Analysis of Evacuation Highway Networks,Journal of Transportation Engineering, Part A: Systems,(JCR,Q3),2019,Lu, W.,Wang, F., Bu, L. & Liu. L. ,2019, 145(10), 04019044.
- 15、Macroscopic Fundamental Diagram Based Discrete Transportation Network Design,Journal of Advanced Transportation,(JCR,Q3),2020,Hu, G.,Lu, W., Wang, F., & Whalin, R. W.
- 16、Identifying Bottlenecks in Roadway Networks in Hurricane Evacuation,Journal of Transportation Engineering, Part A: Systems,(JCR,Q3),2018,Lu, W.,Wang, F., Liu, L., & Hu, G,144(9), 04018047
- 17、A Cooperative Bypassing Algorithm for Connected and Autonomous Vehicles in Mixed Traffic.,IET Intelligent Transport Systems,(JCR,Q3),2020,Hu, G.,Wang, F., Lu, W., & Whalin, R. ,14(8), 915-923.
- 18、Survey of Surveys (SoS) - Mapping the Landscape of Travel-Related Surveys in COVID-19,Transportation Research Board (TRB) 100st Annual Meeting,(Top conference),2021,Lu, W.,Li, X., Liu, J., Jones, S., Parrish, A.
- 19、A novel spatio-temporal feature extraction method for short-term travel time predition in an urban network,Transportation Research Board (TRB) 100st Annual Meeting,(Top conference),2021,Kang, L.,Huang, H., Hu., G., Lu, W., Liu, L.
- 20、A Pure Linear Programming Approach to Estimate the Macroscopic Fundamental Diagrams of Urban Networks,Transportation Research Board (TRB) 100th Annual Meeting,(Top conference),2021,Lu, W.,Liu, J., Hu, G., Parrish, A, Hainen., A
- 21、Detecting Stochastic and Deterministic Structures of Short-Term Metro Passenger Flow with CEEMDAN and RQA,Transportation Research Board (TRB) 100th Annual Meeting,(Top conference),2021,Huang, H.,Mao, J., Chen, Y., Lu, W., Liu, L.
- 22、Planning Airways for Urban Air Mobility in Small Cities: A Case Study of Tuscaloosa, Alabama,Transportation Research Board (TRB) 100th Annual Meeting,(Top conference),2021,Yang, C., Lu., W., Liu, J., Jones, S
- 23、A Macroscopic Fundamental Diagram Approach to Evaluating Performance of Regional Traffic Controls,Transportation Research Board (TRB) 99th Annual Meeting,(Top conference),2020,Lu, W.,Jun, Liu., J., Mao, G., Hu, C., Chu and Liu. L.
- 24、A Hybrid CEEMDAN-GRU Model for Short-Term Metro Passenger Flow Prediction,Transportation Research Board (TRB) 99th Annual Meeting,(Top conference),2020,Huang, H., Mao, J., Lu, W., G., Hu and L., Liu.
- 25、Service Network Design for Regional Multi-Modal Rail Transit System,Transportation Research Board (TRB) 99th Annual Meeting,(Top conference),2020,Wang, Y.,Liu. L., Lu, W., and Lao, Y.
- 26、Game-theoretic Analysis of Networks Vulnerability under Hurricane Evacuation,Transportation Research Board (TRB) 96th Annual Meeting,(Top conference),2017,Lu, W.,Wang, F., Bu, L. and Liu. L.
- 27、Bottleneck Identification for Network under Hurricane Evacuation,Transportation Research Board (TRB) 96th Annual Meeting,(Top conference),2017,Lu, W., ,Wang, F., Liu, L. and Hu, G.
- 28、A Transportation Digital-Twin Approach for Adaptive Traffic Control Systems,2022 ASCE International Conference on Transportation and Development,Presentation ID: 1926027,2022,Sagar Dasgupta,Mizanur Rahman,Abhay Lidbe,Weike Lu, Steven Jones
- 29、Mining the Spatial Graph Representation of Urban Traffic for Graph Convolutional Neural,2021 IEEE International Intelligent Transportation Systems Conference (ITSC),2021,Mao, J.,Huang, H., Chen, Y., Lu, W., Chen, G., Liu, L.
- 30、Analysis of Different Graph Convolutional Network Prediction Models with Spatial Dependence,2021 IEEE International Intelligent Transportation Systems Conference (ITSC),2021,Chen,Y.,Mao, J., Huang, H., Yan, Q., Lu, W., Liu, L.
- 31、Two-phase optimization model for ride-sharing with transfers in short-notice evacuations,IRF Global R2T Conference 2019, Las Vegas, NV, USA. ,2020,Lu, W.,Liu, L., Wang, F., Zhou, X., & Hu, G.
- 32、面向边界控制的路网小区划分,中国公路学报,(EI,导师一作),2018,刘澜,卢维科,胡国静,王峰,尹俊淞
- 33、The Theoretical Concept and Method System of Traffic Congestion Control of Urban Road Network with Intelligent Transportation Systems,In ICTE 2019 (pp. 190-198). Reston, VA: American Society of Civil Engineers,(EI 会议),Liu, L.,Gao, C., Mao, J., Lu, W., & Chen, Y.
- 34、Threshold Division of Urban Road Network Traffic State Based on Macroscopic Fundamental Diagram and K-Means Clustering,In ICTE 2019(pp. 31-39). Reston, VA: American Society of Civil Engineers,(EI 会议),Dai, Y.,Lu, W., Huang, H., & Liu, L.
- 35、The Connection Mode Between Inter-City Rail Transit and Urban Transportation System in Urban Agglomeration,In International Conference on Smart Vehicular Technology, Transportation, Communication and Applications. (pp. 11-21). Springer, Cham.,(EI),Zuo, K., Liu, L., & Lu, W.
- 36、基于相邻相位合作博弈的单信号交叉口实时滚动优化建模和仿真,公路交通科技,(CSCD),2015,卢维科, 刘澜, 冯伟,32(11):120-125
- 37、Integrated Simulation Platform of VISSIM, VC , and MATLAB,ICTE2015,(EI会议),2015,Lu, W.,Feng, W., & Huang, L.
- 38、城市快速路入口匝道与交叉口协调控制策略,计算机工程与应用,(中文核心),康雷雷,卢维科,刘澜
- 39、成灌市域铁路对城市圈可达性的影响研究,铁道运输与经济,2020,劳亚龙,刘澜,卢维科,,毛剑楠,周天星,宋元胜,2020(06)
- 40、融合时空信息的短时交通流预测,计算机工程与应用 ,(中文核心),2016(12),褚鹏宇,刘澜,尹俊淞,卢维科
- 41、城市交通拥挤对策新解,交通运输工程与信息学报,2014(04),刘澜,卢维科,尹俊淞
- 42、Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes,Accident Analysis & Prevention,(JCR,Q1),2022,Lu, W., Liu, J,,Fu, X., Yang, J., ,Jones, S.,168
科技成果
- 1、一种基于模态分解及深度学习的城轨短时客流预测方法,刘澜; 黄豪; 毛剑楠; 罗玥; 卢维科; 康雷雷
- 2、面向多制式区域轨道交通的动态服务网络优化设计方法,刘澜; 汪意涵; 卢维科; 毛剑楠; 罗玥; 劳亚龙
荣誉及奖励
招生信息
招收学术型硕士研究生及专业型硕士研究生。
欢迎有意愿攻读智能网联、数字孪生、交通大数据、交通管理与控制等专业的同学与我联系(wklu@suda.edu.cn),研究经费充足,福利待遇好。也欢迎对本人研究有兴趣的同学来课题组交流探讨。
招生信息1: