[Objective]To address the diverse design needs of different products and meet customer requirements for quick design and manufacture of high-speed trains, it is necessary to study demand-driven design methods for rail transit vehicles. [Method]By collecting, classifying, and summarizing various demands for rail transit vehicles, and performing operations such as sorting, matching, and parameterizing these demands, a demand database is established. For the personalized characteristics of rail transit vehicles, personalized demands are gradually decomposed into various levels and components of the vehicles, forming a demand model. Mapping rules between demands and indicators are constructed using direct mapping, function mapping, and knowledge mapping. [Result & Conclusion]The proposed demand-driven design method for rail transit vehicles can define and classify the collected demands for rail transit vehicles structurally, normatively, and attributively, forming demand data of different levels, attributes, and vehicle models. Based on customer-specified demands, corresponding rail transit vehicle demands are proposed, which are then mapped to technical indicators of the rail transit vehicles, ultimately obtaining a set of rapid design data for rail transit vehicles.


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    Title :

    Demand-driven Design Method for Rail Transit Vehicles


    Contributors:
    ZHANG Gongbin (author) / PENG Qingchang (author) / WANG Chuan (author) / ZHANG Shicun (author)


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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