Lab member

Publication list 2020
2020-1-27
source:unknown
clicks:  259
  • Joint deployment of charging stations and photovoltaic power plants for electric vehicles. Transportation Research Part D: Transport and Environment. (Luo, Z., He, F., Lin, X., Wu, J., Li, M.*)

    A spatiotemporal approach for traffic data imputation with complicated missing patterns. Transportation Research Part C: Emerging Technologies. (Li, H., Li, M., Lin, X., He, F.*, Wang, Y.)

    Online-to-offline mobile charging system for electric vehicles: strategic planning and online operation. Transportation Research Part D: Transport and Environment. (Tang, P., He, F., Lin, X., Li, M.*)

    Space-time routing in dedicated automated vehicle zones. Transportation Research Part C: Emerging Technologies. (An, Y., Li, M., Lin, X., He, F.*, Yang, H.)

    Data-driven traffic speed forecasting: graph attention temporal convolutional network. Transportmetrica B: Transport Dynamics. (Zhang, K., He, F., Zhang, Z., Lin, X., Li, M.*)

    Modeling and optimization of optimized vehicle access on dedicated bus rapid transit lanes. Transportation Research Part C: Emerging Technologies. (Chen, X., Lin, X., He, F., Li, M.*)

    Online operations of automated electric taxi fleets: an advisor-student reinforcement learning framework. Transportation Research Part C: Emerging Technologies. (Tang, X., Li, M., Lin, X., He, F.*) 

    Online Operations Strategies for Automated Multistory Parking Facilities. Transportation Research Part E: Logistics and Transportation Review. (Wang, Y., Li, M., Lin, X., He, F.*)

    Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. Transportation Research Part C: Emerging Technologies. (Zhang, K., He, F., Zhang, Z., Lin, X., Li, M.*)

    Network-wide Traffic Flow Estimation with Insufficient Volume Detection and Crowdsourcing Data. Transportation Research Part C: Emerging Technologies. (Zhang, Z., Li, M.*, Lin, X., Wang, Y.)

    High-performance traffic speed forecasting based on spatiotemporal clustering of road segments. IET Intelligent Transport Systems. (Zhang, Z., He, F., Lin, X., Wang, Y., Li, M.*)

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