Study on Risk of Long-Steep Downgrade Sections of Expressways Based on a Fuzzy Hierarchy Comprehensive Evaluation

Abstract

The long-steep downgrade sections of expressways are characterized by a large elevation difference, poor horizontal and vertical alignment, and the easy failure of brakes on large trucks. They are sections with a high overall operation safety risk. It is necessary to strengthen the research on traffic risk evaluation. In order to study the traffic safety risks of long-steep downgrade parts of expressways, the fuzzy hierarchical comprehensive evaluation method is used to establish the calculation model. First, an evaluation index system including the target level, rule level, first-level index level and second-level index level is established. The qualitative and quantitative indicators are processed by the set value statistical method and the linear standard method, respectively, so that all indicators can be quantitatively evaluated together. Then, each indicator is assigned a score and divided into five risk levels, and a ridge-shaped fuzzy distribution is used to constitute a membership function for each level. A hierarchical structure model is established with the analytic hierarchy process to determine the affiliation between the upper and lower levels, and the relative weight of each level to the upper level also can be obtained. Finally, according to the hierarchical relevance of each evaluation indicator, a three-level fuzzy comprehensive evaluation model is constructed. The traffic risk evaluation level for long-steep downgrade sections can be obtained, and the probability of the corresponding risk evaluation level can be calculated. Through the risk evaluation of the long-steep downgrade sections of the Fuzhou Yinchuan Expressway in China, this shows that the risk evaluation conclusion obtained by using this evaluation method is consistent with the actual traffic safety situation, which shows that the traffic safety risk evaluation model based on a fuzzy hierarchy comprehensive evaluation is operable.

Fuzzy comprehensive evaluation and quantitative weight analysis in structure management of human resources

“…The scales 2, 4, 6, and 8 denote intermediate levels of importance between the adjacent scales. Eq (6) satisfies the conditions shown in Eq (7).…”

“…Fuzzy Comprehensive Evaluation (FCE) is a multi-index evaluation method that can convert subjective evaluations into numerical calculations and comprehensively evaluate these factors to obtain a more objective and comprehensive evaluation result using fuzzy mathematics [5,6]. The use of FCE in the application of SMHR has significant advantages and broad application prospects due to its ability to quantify and summarize different factors into several levels, calculate weights between the various elements, and reduce the interference of subjective factors to improve the objectivity and accuracy of evaluation results [7,8].…”

Research on an evaluation index system and evaluation method of green and low-carbon expressway construction

“…Zhang [ 30 ] et al used the AHP-fuzzy comprehensive evaluation method to evaluate the environmental impact of rural roads during construction, and characterized the consistency and credibility of expert scores by introducing the mean and standard deviation of the score values. Zhao [ 31 ] et al used the fuzzy hierarchy comprehensive evaluation method to assess the risk of long-steep downgrade sections of expressways, and the set value statistical method and the linear standard method are used for qualitative and quantitative indicators respectively to make all indicators be quantitatively evaluated together. Bai [ 32 ] et al combined the AHP and entropy method to determine the weight of each index, and evaluated the regional rural highway construction and development by set pair analysis method.…”

Risk Assessment Model and Sensitivity Analysis of Ordinary Arterial Highways Based on RSR–CRITIC–LVSSM–EFAST

“…Road risk object identification [19][20][21][22][23][24][25][26] SVD SVD is a widely used algorithm in the field of machine learning. It is used for feature decomposition in dimensionality reduction algorithms.…”

“…Most of the road safety risk assessment and operation management methods use the MCDM algorithm [18] (multi-criteria decision-making). Among them, the analytic hierarchy process, the fuzzy comprehensive evaluation method, and TOPSIS are the most widely used methods in multi-objective decision-making, but these methods have certain limitations when used alone [19][20][21][22]. At the same time, in terms of project operation management, data development analysis (DEA) was found to be the most effective operation management method for mine blasting [23].…”