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A Novel Fuzzy Comprehensive Evaluation Model for Application Effect of Connected Vehicle System in a Tunnel Scenario

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Abstract

This paper proposes a novel fuzzy comprehensive evaluation model based on the 2-tuple linguistic model and grey target decision method (2TL-GTD) for evaluating the comprehensive application effect of the connected vehicle system. Since the evaluation indicator system of the research problem belongs to multi-source heterogeneous data, the original data is firstly converted into a unified 2-tuple form using linguistic 2-tuple model, which can avoid information distortion or loss. Second, the deviation maximization method is used to objectively determine the weight of each indicator. Then, the grey target decision-making method is used to deal with the uncertain information in the data and select the optimal solution according to the bullseye degree, which allows a comprehensive evaluation of the application effectiveness of the connected vehicle system. Taking the tunnel scenario as an example to verify the effectiveness of 2LT-GTD, it is found that in the tunnel scenario, the connected vehicle system can remind the driver to prepare in advance, effectively reducing traffic accidents and pollutant emissions. Based on the results, it can provide technical improvement directions for relevant technical departments to achieve the coordinated development of safe driving, efficient driving and ecological driving.

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Acknowledgements

This work was jointly supported by the National Nature Science Foundation of China (Grant numbers 61403288, U1764262, 71871174); the Science Fund for Creative Research Groups of the National Nature Science Foundation of Hubei Province (Grant number 2017CFA008).

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Authors and Affiliations

  1. School of Science, Wuhan University of Technology, Wuhan, 430063, People’s Republic of China

    Shuai Wang, Jianghui Wen & Congjun Rao

  2. Intelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan, 430063, People’s Republic of China

    Jianghui Wen

  3. Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing, 100124, People’s Republic of China

    Haijian Li & Xiaohua Zhao

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  1. Shuai Wang
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  2. Jianghui Wen
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  3. Haijian Li
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  4. Congjun Rao
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  5. Xiaohua Zhao
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Correspondence to Jianghui Wen or Haijian Li.

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Wang, S., Wen, J., Li, H. et al. A Novel Fuzzy Comprehensive Evaluation Model for Application Effect of Connected Vehicle System in a Tunnel Scenario. Int. J. Fuzzy Syst. 24, 1986–2004 (2022). https://doi.org/10.1007/s40815-022-01254-7

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  • DOI: https://doi.org/10.1007/s40815-022-01254-7

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