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Titlebook: Advances in Smart Vehicular Technology, Transportation, Communication and Applications; Proceedings of VTCA Shaoquan Ni,Tsu-Yang Wu,George

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https://doi.org/10.1007/978-1-84800-141-1problems of different frame overhaul modes and resource optimization of rail transit operation, this paper summarizes the frame overhaul and maintenance of major cities, and proposes a quality management method for urban rail transit vehicle frame overhaul project. The method is composed of a combin
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https://doi.org/10.1007/978-1-84800-141-1ay transportation system. In this paper, the advantages of least square support vector machine (LSSVM) in small sample data prediction are integrated, and the ARIMA-LSSVM hybrid model based on residual linear transfer superposition is proposed, which is verified by Xiamen Spring Festival railway pas
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https://doi.org/10.1007/978-1-84800-141-1refore, refinement operational requirements are increasingly prominent. However, the passenger flow itself has time-varying characteristics, and the division of passenger flow seasons and periods is divided by manual methods and experience subjectively. As a result, it is difficult to adjust it dyna
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https://doi.org/10.1007/978-1-84800-141-1med into the problem of direct train operation and train combination between regions on cluster network. The design of train operation scheme based on the railway network realizes the passenger flow transportation within the regional network. However, the cross-network passenger flow on the regional
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Computer Graphics for Java Programmersing operation and maintenance data, and difficulty in accurate positioning of equipment under the existing equipment operation and maintenance management mode have become the focus. In this paper, the operation and maintenance management process of equipment is divided into three stages: fault predi
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