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RETRACTED ARTICLE: Visualization model of big data based on self-organizing feature map neural network and graphic theory for smart cities

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This article was retracted on 05 December 2022

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Abstract

The process of current urban and accelerating the number of motor vehicles increased rapidly resulting in road traffic pressure is increasing, we need to analyze large data traffic in the city, to guide urban road planning and improve the level of city management, and city operation rules found from traffic data in complex. However, traffic data are characterized by large amount and high dimension, which makes the analysis process difficult. In this paper, the composition, characteristics and application of large data in traffic field are introduced. Mining multi-source heterogeneous data traffic generated by the depth of the traffic data to establish a comprehensive analysis platform and project evaluation subsystem, the formation of integrated traffic system model for multi field, multi-level application requirements. In this paper, we propose a visualization model based on self-organizing feature map neural networks with graph theory. This paper analyzes the traffic data of the whole life cycle, combing the traffic data collection, analysis, discovery, the level of application, and uses big data techniques to guide the city traffic planning, construction, management, operation and decision support.

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Acknowledgements

This study was supported by GoPerception Open Project Funding.

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Authors and Affiliations

  1. Zhejiang Gongshang University, Hangzhou, China

    Xiaowei Chen

  2. The Design Institute of Landscape & Architecture, China Academy of Art, Hangzhou, China

    Bin Tian

  3. GoPerception Laboratory, New York, NY, USA

    Harry Haoxiang Wang

Authors
  1. Xiaowei Chen
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  2. Harry Haoxiang Wang
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  3. Bin Tian
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Correspondence to Bin Tian.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10586-022-03907-6

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Chen, X., Wang, H.H. & Tian, B. RETRACTED ARTICLE: Visualization model of big data based on self-organizing feature map neural network and graphic theory for smart cities. Cluster Comput 22 (Suppl 6), 13293–13305 (2019). https://doi.org/10.1007/s10586-018-1848-1

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  • DOI: https://doi.org/10.1007/s10586-018-1848-1

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