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    Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding

    Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding

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    Wide-ranging applications of road traffic detection technology in road traffic state data acquisition have introduced new challenges for transportation and storage of road traffic big data. In this paper, a compression method for road traffic spatial data based on LZW encoding is proposed. First, the spatial correlation of road segments was analyzed by principal component analysis. Then, the road traffic spatial data compression based on LZW encoding is presented. The parameters determination is also discussed. Finally, six typical road segments in Beijing are adopted for case studies. The final results are listed and prove that the road traffic spatial data compression method based on LZW encoding is feasible, and the reconstructed data can achieve high accuracy.

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    Titel :

    Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding

    Beteiligte:
    Dong-wei Xu (Autor:in) / Yong-dong Wang (Autor:in) / Li-min Jia (Autor:in) / Gui-jun Zhang (Autor:in) / Hai-feng Guo (Autor:in)
    Erschienen in:

    Journal of Advanced Transportation, Vol 2017 (2017)

    Erscheinungsdatum :

    2017

    ISSN :

    0197-6729 , 2042-3195

    DOI :

    https://doi.org/10.1155/2017/8182690

    Medientyp :

    Aufsatz (Zeitschrift)

    Format :

    Elektronische Ressource

    Sprache :

    Unbekannt

    Schlagwörter :

    Transportation engineering , TA1001-1280 , Transportation and communications , HE1-9990

    Metadata by DOAJ is licensed under ​CC BY-SA 1.0

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