1–13 von 13 Ergebnissen
|

    Forecasting container throughput with big data using a partially combined framework

    Huang, Anqiang / Zhang, Zhenji / Shi, Xianliang et al. | IEEE | 2015

    Multi-step Time Series Forecasting of Bus Passenger Flow with Deep Learning Methods

    Jiao, Feng / Huang, Lei / Gao, Zetian | Springer Verlag | 2021
    Beteiligte: Shi, Xianliang

    Evacuation Design and Simulation of Rail Transit Platforms

    Wang, Fang | Springer Verlag | 2021
    Beteiligte: Shi, Xianliang

    Port Logistics Demand Forecast Based on Grey Neural Network with Improved Particle Swarm Optimization

    Yuan, Ruiping / Wei, Hui / Li, Juntao | Springer Verlag | 2021
    Beteiligte: Shi, Xianliang

    Rail Passenger Flow Prediction Combining Social Media Data for Rail Passenger

    Shen, Jiren | Springer Verlag | 2022
    Beteiligte: Shi, Xianliang

    Research on Labor Costs Analysis Model for Condition-Based Maintenance of Railway Freight Cars Based on the Integration of Business and Finance

    Gao, Junxin / Cui, Yongmei / Li, Xuemei et al. | Springer Verlag | 2022
    Beteiligte: Shi, Xianliang

    Optimization of Non-motorized Traffic Around Rail Transit Stations

    Zhao, Ziyao / Wang, Li / Zhu, Xiaoning | Springer Verlag | 2021
    Beteiligte: Shi, Xianliang

    Correlation Analysis of Waterway Passenger Transport and Tourism Development in Beihai City

    Liu, Xiaolei / Li, Xiaofeng / Fei, Wenpeng et al. | Springer Verlag | 2021
    Beteiligte: Shi, Xianliang

    Research on the Current Situation of Work Style Construction in Civil Aviation Industry

    Yang, Zhidong / Liu, Ruijian / Wang, Yuhan | Springer Verlag | 2022
    Beteiligte: Shi, Xianliang

    Temporal and Spatial Patterns of Ship Accidents in Arctic Waters from 2006 to 2019

    Luo, Qiaoyun / Liu, Wei | Springer Verlag | 2022
    Beteiligte: Shi, Xianliang

    Integrated Planning for the Intermodal Container Terminals of the CR Express based on Markov Process

    Diao, Cuijie / Guo, Shujuan / Li, Gang et al. | Springer Verlag | 2021
    Beteiligte: Shi, Xianliang