Analysis of vehicle management based on an improved K-prototype

Xuexin Zhang; Min Liu

doi:10.1117/12.2684329

1 August 2023 Analysis of vehicle management based on an improved K-prototype

Xuexin Zhang, Min Liu

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127542S (2023) https://doi.org/10.1117/12.2684329
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

From the vehicle guarantee big data platform, the vehicle listed data, maintenance data and use data are extracted, through data cleaning, data statute and data transformation, build the indicator system, using the improved K-prototype clustering algorithm, the vehicle use unit is divided into key control unit, key tracking unit, key concern unit, general tracking unit and general concern unit, and by analyzing the different characteristics of each group and its distribution area, it provides a theoretical basis for taking targeted management measures and reducing the proportion of faults, and provides auxiliary decision-making support for vehicle security.

Citation Download Citation

Xuexin Zhang and Min Liu "Analysis of vehicle management based on an improved K-prototype", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127542S (1 August 2023); https://doi.org/10.1117/12.2684329

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