卢维科

发布时间：2024-09-25浏览次数：3974

  • 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
  • 43、DEASeq2Seq: An attention based sequence to sequence model for short-term metro passenger flow prediction within decomposition-ensemble strategy.,Transportation Research Part C: Emerging Technologies,(JCR,Q1),2023,Hao Huang, Jiannan Mao, Weike Lu ,Guojing Hu, and Lan Liu
  • 44、Multi-precision traffic speed predictions via modified sequence to sequence model and spatial dependency evaluation method,Applied Soft Computing ,(JCR,Q1),2022,Jiannan Mao, Hao Huang, Weike Lu ,Yuting Chen, and Lan Liu
  • 45、Research on route hierarchical control strategy from the perspective of macroscopic traffic network,Journal of Intelligent Transportation Systems ,(JCR,Q2),2022,Leilei Kang, Weike Lu, and Lan Liu
  • 46、A Neat Urban Traffic Pattern EstimationFramework through Trajectories of Car-hailing Vehicles,Transportation Research Board (TRB) 102nd Annual Meeting,(Top conference),2023,Jiannan Mao,Kaiyu Yang,Yuting Chen,Weike Lu,Hao Huang,Tianli Tang,Lan Liu,TRBAM-23-03669
  • 47、DTSUMO: A “Digital Twin” Traffic SimulationTool for Network-Wide Real-Time Traffic Monitoring and Management,Transportation Research Board (TRB) 102nd Annual Meeting,(Top conference),2023,Xing Fu,Weike Lu,Jun Liu, Alex Hainen,TRBAM-23-04288
  • 48、Quantifying the Network-Wide TrafficEfficiency-Safety Relationship: A Case Studyof Evaluating Mixed Urban Traffic Flows withHuman-Driven and Connected and Automated Vehicles,Transportation Research Board (TRB) 102nd Annual Meeting,(Top conference),2023,Xiwen Lou,Guojing Hu,Jun Liu,Weike Lu,Wenjuan E, Qifan Nie,TRBAM-23-01598
  • 49、Exploring Causality through Time Series Data in Urban Traffic Networks,Transportation Research Board (TRB) 102nd Annual Meeting,(Top conference),2023,Jiannan Mao,Hao Huang,Weike Lu,Yuting Chen,Tianli Tang, Bin Ran,Lan Liu,TRBAM-23-01680
  • 50、A Quasi-Contagion Process Modelling and Characteristic Analysis for Real-World Urban Traffic Network Congestion Patterns,Physica A: Statistical Mechanics and its Applications,(JCR,Q2),2022,Yuting Chen,Jiannan Mao,zhao zhang,Hao Huang,Weike Lu,Qipeng Yan,Lan Liu