Title: Evaluation method for adaptability of expressway toll stations based on fuzzy logic

Authors: Zengli Fang; Yali Liang; Fang Wang; Gaoling Li; Shuai Di

Addresses: Zhengzhou Institute of Transportation Co., Ltd., Zhengzhou, 450000, China ' Zhengzhou Institute of Transportation Co., Ltd., Zhengzhou, 450000, China ' Zhengzhou Institute of Transportation Co., Ltd., Zhengzhou, 450000, China ' Zhengzhou Institute of Transportation Co., Ltd., Zhengzhou, 450000, China ' Zhengzhou Institute of Transportation Co., Ltd., Zhengzhou, 450000, China

Abstract: Evaluating the adaptability of highway toll stations can optimise road traffic flow and improve traffic service quality. Therefore, this article proposes a fuzzy logic-based evaluation method for the adaptability of highway toll stations. Firstly, establish an evaluation system for the adaptability of highway toll stations, divide the adaptability standards of toll stations, and obtain the final evaluation indicators through correlation analysis method. Then, the grey correlation analysis method is used to determine the degree of correlation of the development trend of the grey process, determine the weights, and calculate the grey correlation coefficient; finally, the combination weight of indicators is determined using fuzzy logic to obtain the final fitness evaluation certainty, achieving evaluation. The results indicate that the method proposed in this paper improves the evaluation effect of adaptability of highway toll stations, with a maximum accuracy of 0.99.

Keywords: grey correlation coefficient; fuzzy logic; factor analysis method; degree of correlation; information overlap test.

DOI: 10.1504/IJSD.2024.136611

International Journal of Sustainable Development, 2024 Vol.27 No.1/2, pp.45 - 63

Received: 13 Apr 2023
Accepted: 30 Aug 2023
Published online: 08 Feb 2024 *

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