Research on comprehensive evaluation method of green ecological road based on extension cloud model

Jia He; Xiaodong Zhu; Xingyu Zhang; Liping Guo; Ruiqi Luo

doi:10.1117/12.2613834

10 November 2021 Research on comprehensive evaluation method of green ecological road based on extension cloud model

Jia He, Xiaodong Zhu, Xingyu Zhang, Liping Guo, Ruiqi Luo

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120502O (2021) https://doi.org/10.1117/12.2613834
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

The green ecological evaluation of municipal roads has the characteristics of multi-attribute, multi-level, and difficult to quantify. Traditional evaluation methods often ignore ambiguity and randomness, and the evaluation results are subjective and one-sided. A new method is needed to break through the limitations of traditional evaluation methods. This paper constructs an index system from five aspects: ecological environment protection, quality improvement, safety and efficiency, green and low-carbon, and information intelligence, and comprehensively uses AHP-entropy weight combination method, matter element analysis theory and cloud model to establish an extensible cloud model. The model can analyze and evaluate green and ecological roads and realize visual cloud image analysis. Finally, Guangyang Avenue in Chongqing is taken as an example, the results verify the scientificity of the extension cloud model, which can provide a certain scientific reference for the evaluation of green and ecological municipal road projects.

Citation Download Citation

Jia He, Xiaodong Zhu, Xingyu Zhang, Liping Guo, and Ruiqi Luo "Research on comprehensive evaluation method of green ecological road based on extension cloud model", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120502O (10 November 2021); https://doi.org/10.1117/12.2613834

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