Road traffic infrastructure toughness evaluation method, system, equipment and medium

Abstract

The invention belongs to the field of highway systems, and discloses a highway traffic infrastructure toughness evaluation method, system, equipment and medium, and the method comprises the steps: analyzing the infrastructure toughness of a to-be-evaluated highway based on a highway full life cycle theory, and constructing a highway traffic infrastructure toughness evaluation index system based on an analysis result, the highway traffic infrastructure toughness evaluation index system comprises a plurality of criterion layer indexes, the criterion layer indexes comprise a pre-disaster early warning index, an in-disaster guarantee index and a disaster recovery index, and each criterion layer index comprises a plurality of subclass indexes; performing weighted calculation on each index in the highway traffic infrastructure toughness evaluation index system based on a fuzzy analytic hierarchy process to obtain weight data of each index; and calculating a comprehensive evaluation result of the to-be-evaluated road based on the weight data of each index. According to the technical scheme, the subjective problem can be solved, and the toughness level of the highway infrastructure can be conveniently and comprehensively mastered.

Description

Technical Field

[0001] The present invention belongs to the field of highway systems, and in particular relates to a method, system, equipment and medium for evaluating the resilience of highway traffic infrastructure. Background Art

[0002] The occurrence of abnormal highway events has a huge impact on the highway traffic system. How to avoid the impact of road flooding on driving, the collapse of road infrastructure caused by heavy rain, ensure the smooth operation of lifeline projects, improve the resilience of the road system, and reduce the damage to the road system caused by disasters are issues worthy of study. However, the current "resilience" project is still in the exploratory stage, especially in the highway industry. Due to the large number of influencing factors and the wide range of involvement, a complete evaluation method has not yet been formed, and it is impossible to describe in detail the impact of various influencing factors on highway resilience at different stages. Therefore, it is urgent to form a set of evaluation methods covering the entire life cycle of highways to systematically evaluate the resilience of highway traffic infrastructure.

[0003] In terms of evaluation methods, existing resilience evaluation methods include simulation and analytic hierarchy process. Laboratory simulation is used, but this method is complex to operate and has large errors in evaluation results; analytic hierarchy process can analyze influencing factors at different levels and can perform full life cycle analysis, but it is too subjective. In order to further solve its subjective problem, further research on this method is needed. Summary of the invention

[0004] The purpose of the present invention is to provide a method, system, device and medium for evaluating the resilience of highway traffic infrastructure to solve the problems existing in the above-mentioned prior art.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for evaluating the resilience of highway traffic infrastructure, including: analyzing the infrastructure resilience of a highway to be evaluated based on the highway life cycle theory, and constructing a highway traffic infrastructure resilience evaluation index system based on the analysis results, wherein the highway traffic infrastructure resilience evaluation index system includes several criterion layer indicators, wherein the criterion layer indicators include pre-disaster warning indicators, disaster protection indicators, and disaster recovery indicators, and each of the criterion layer indicators includes several sub-category indicators; Based on the fuzzy analytic hierarchy process, weighted calculation is performed on each indicator in the highway traffic infrastructure resilience evaluation index system to obtain weight data of each indicator; The comprehensive evaluation results of the highway to be evaluated are calculated based on the weight data of each indicator.

[0006] Optionally, the pre-disaster warning indicators include risk management indicators, environmental monitoring indicators, facility monitoring indicators, hidden danger inspection indicators, hidden danger disposal indicators and severe convective weather warning advance time indicators.

[0007] Optionally, the disaster protection indicators include design parameter indicators, engineering quality indicators, technical condition indicators, road section flood resistance indicators and bridge flood resistance indicators.

[0008] Optionally, the disaster recovery indicators include a rescue time indicator, a rescue scope indicator, a rescue capability indicator, a rescue time indicator and a reconstruction quality indicator.

[0009] Optionally, weighted calculation is performed on each indicator in the road traffic infrastructure resilience evaluation index system based on the fuzzy analytic hierarchy process, specifically including: Step S1: Evaluate and score each indicator in the highway traffic infrastructure resilience evaluation index system based on the three-scale method to obtain scoring data for each indicator; Step S2: Determine the weight data of each indicator based on the scoring data of each indicator according to the fuzzy hierarchical analysis method.

[0010] Optionally, the step S2 specifically includes: Step S21: constructing a fuzzy complementary judgment matrix based on the scoring data of each indicator, wherein the fuzzy complementary judgment matrix includes a criterion layer fuzzy complementary judgment matrix and a sub-category indicator fuzzy complementary judgment matrix corresponding to each criterion layer indicator; Step S22: Calculate the weight vectors corresponding to each fuzzy complementary judgment matrix based on the row sum method, and calculate the feature matrix corresponding to each fuzzy complementary judgment matrix based on the calculated weight vectors; Step S23: Calculate the compatibility index between each of the fuzzy complementary judgment matrices and the corresponding feature matrix. When the calculation result of the compatibility index is less than or equal to the preset threshold, the corresponding fuzzy complementary judgment matrix passes the consistency test; when the calculation result of the compatibility index is greater than the preset threshold, the corresponding fuzzy complementary judgment matrix fails the consistency test, and returns to step S1; Step S24: After the consistency check is passed, the weight vectors corresponding to each fuzzy complementary judgment matrix are iteratively optimized based on the eigenvalue method. When the iterative optimization reaches a preset number of times, the optimized weight vector is output.

[0011] Optionally, the comprehensive evaluation result of the highway to be evaluated is calculated based on the weight data of each indicator, including: Based on the weight data of each indicator, the comprehensive evaluation result of the transportation infrastructure resilience of the highway to be evaluated is calculated according to the weighted average method, and the calculated comprehensive evaluation result is graded based on the preset grade classification rules.

[0012] A road traffic infrastructure resilience evaluation system, comprising: An indicator system construction module is used to analyze the infrastructure resilience of the highway to be evaluated according to the highway life cycle theory, and to construct a highway transportation infrastructure resilience evaluation indicator system based on the analysis results. The highway transportation infrastructure resilience evaluation indicator system includes several criterion layer indicators, including pre-disaster warning indicators, disaster protection indicators, and disaster recovery indicators. Each of the criterion layer indicators includes several sub-category indicators. A comprehensive evaluation module, used for performing weighted calculation on each indicator in the evaluation index system of road traffic infrastructure resilience according to the fuzzy analytic hierarchy process to obtain weight data of each indicator; The comprehensive evaluation results of the highway to be evaluated are calculated based on the weight data of each indicator.

[0013] An electronic device comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program so that the electronic device executes a road traffic infrastructure resilience assessment method.

[0014] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for evaluating the resilience of highway traffic infrastructure.

[0015] The technical effects of the present invention are: The present invention establishes an evaluation index system for the resilience of highway infrastructure. According to the time of disaster occurrence, the system is divided into three stages: pre-disaster warning, disaster protection, and post-disaster recovery for evaluation. In terms of the evaluation model, by fuzzy processing the analytic hierarchy process, on the one hand, it can solve the subjective problem, and on the other hand, it can improve the model accuracy, make the results more objective and scientific, and improve the applicability of the model. Finally, the method is condensed into an evaluation system, which is convenient for comprehensively grasping the resilience level of highway infrastructure, and at the same time, it can also carry out real-time monitoring of pre-disaster resilience warning for the highway system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 It is a flowchart of the resilience evaluation of highway traffic infrastructure in an embodiment of the present invention; Figure 2 This is the road traffic infrastructure resilience evaluation index system in the embodiment of the present invention. DETAILED DESCRIPTION

[0018] Various exemplary embodiments of the present invention will now be described in detail. This detailed description should not be considered as limiting the present invention, but should be understood as a more detailed description of certain aspects, features, and embodiments of the present invention.

[0019] It should be understood that the terms described in the present invention are only for describing special embodiments and are not intended to limit the present invention. In addition, for the numerical range in the present invention, it should be understood that each intermediate value between the upper and lower limits of the scope is also specifically disclosed. Each smaller range between the intermediate value in any stated value or stated range and any other stated value or intermediate value in the described range is also included in the present invention. The upper and lower limits of these smaller ranges can be independently included or excluded in the scope.

[0020] Unless otherwise indicated, all technical and scientific terms used herein have the same meanings as those of ordinary skill in the art generally understood by the present invention. Although the present invention describes only preferred methods, any method similar or equivalent to that described herein may also be used in the implementation or testing of the present invention. All documents mentioned in this specification are incorporated by reference to disclose and describe the methods related to the documents. In the event of a conflict with any incorporated document, the content of this specification shall prevail.

[0021] It will be apparent to those skilled in the art that various modifications and variations may be made to the specific embodiments of the present invention description without departing from the scope or spirit of the present invention. Other embodiments derived from the present invention description will be apparent to those skilled in the art. The present application description and examples are exemplary only.

[0022] The words “include,” “including,” “have,” “contain,” etc. used in this article are open-ended terms, meaning including but not limited to.

[0023] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments. Example

[0024] like Figure 1 - Figure 2As shown, a highway traffic infrastructure resilience evaluation method is provided in this embodiment, including: analyzing the infrastructure resilience of a highway to be evaluated based on the highway life cycle theory, constructing a highway traffic infrastructure resilience evaluation index system based on the analysis results, the highway traffic infrastructure resilience evaluation index system including a number of criterion layer indicators, the criterion layer indicators including pre-disaster warning indicators, disaster protection indicators, and disaster recovery indicators, and each of the criterion layer indicators includes a number of sub-category indicators; performing weighted calculation on each indicator in the highway traffic infrastructure resilience evaluation index system based on the fuzzy hierarchical analysis method to obtain weight data of each indicator; and calculating a comprehensive evaluation result of the highway to be evaluated based on the weight data of each indicator.

[0025] This embodiment selects evaluation factors from three aspects, namely, pre-disaster warning, disaster protection, and post-disaster recovery, in accordance with the chronological order of disaster occurrence, based on the theory of the entire life cycle of highways; obtains evaluation index data, conducts quantitative evaluation and grading of the indicators, and obtains standardized evaluation index data; sorts the data of indicators at each level to determine their importance; determines the evaluation results of the resilience of highway transportation infrastructure by using the weighted average method based on the weight of each indicator; selects evaluation indicators for the resilience of highway transportation infrastructure, and predicts the resilience of highway transportation infrastructure by combining them with the improved fuzzy hierarchical analysis method.

[0026] This embodiment is mainly to solve the problem that there is no comprehensive and accurate evaluation system to evaluate the resilience level of infrastructure in the current highway field. The resilience of highway transportation infrastructure is evaluated from three perspectives, namely pre-disaster warning, disaster protection and post-disaster recovery, in the chronological order of disaster occurrence. An improved fuzzy hierarchical analysis method is used to determine the weights of evaluation indicators. The overall situation of the resilience performance of highway infrastructure can be obtained through the evaluation of the criterion layer. The weak links of highway transportation infrastructure can be determined through the evaluation of the indicator layer, laying the foundation for the subsequent determination of improvement plans.

[0027] This embodiment provides a road traffic infrastructure resilience evaluation method and system, which belongs to the field of resilient infrastructure. The method includes: (1) firstly, a qualitative and quantitative combination method is used to determine the road infrastructure resilience evaluation classification standard; (2) secondly, an evaluation index system based on the time of disaster occurrence, pre-disaster warning, disaster protection, and post-disaster recovery is established; (3) each index is scored using an expert scoring method; (4) an improved fuzzy hierarchical analysis method is used to determine the weight to make the evaluation result more accurate; (5) finally, the weight and the expert scoring are combined to determine the comprehensive evaluation result. The specific evaluation process is as follows: Figure 1 shown.

[0028] Step 1: Determine the secondary evaluation indicators; As shown in Table 1 below, three categories of evaluation indicators (secondary evaluation indicators D) are established for the highway transportation system: pre-disaster warning (D1), disaster protection (D2), and post-disaster recovery (D3).

[0029] Step 2: Determine the three-level evaluation indicators; Based on the evaluation indicators determined in step 1, determine the specific indicators that can be used to evaluate the resilience of highway transportation infrastructure; Pre-disaster warning (D1) consists of six sub-categories of indicators (three-level indicator layer f), namely risk management, environmental monitoring, facility monitoring, hidden danger inspection, hidden danger disposal, and advance warning of severe convective weather; Disaster protection (D2) consists of five sub-categories of indicators (three-level indicator layer f), namely design parameters, engineering quality, technical conditions, road section flood resistance, and bridge flood resistance; Post-disaster recovery (D3) consists of five sub-categories of indicators (third-level indicator layer f), namely rescue time, rescue scope, rescue capacity, emergency recovery time, and reconstruction quality.

[0030] In summary, a total of sixteen sub-categories of indicators (three-level indicators) are set up.

[0031] Table 1 Evaluation index system of road traffic infrastructure resilience , Step 3: Determine the index weights using the improved fuzzy analytic hierarchy process; The weights of indicators at each level are determined according to the improved fuzzy analytic hierarchy process, and the weights of various resilience evaluation indicators are obtained. The influence of the weight values ​​on the resilience of the highway transportation system is judged according to the weight values. The improved fuzzy analytic hierarchy process is used to determine the resilience weight of highway transportation infrastructure, which includes the following steps: Step 3.1: Establish the fuzzy complementary judgment matrix A; A number of highway industry experts used the three-scale method to evaluate and score the selected indicators and obtain the fuzzy complementary judgment matrix. In this embodiment, n=15, that is, 15 highway system experts participate in the scoring.

[0032] (2) Criterion-level fuzzy complementary judgment matrix ; Target layer fuzzy complementary judgment matrix: ; ; ; Step 3.2: Use the row sum method to calculate the weight vector : (3) in, is the sum of the elements in the i-th row.

[0033] Step 3.3: Calculate the feature matrix R: (4) (5) Step 3.4: Calculate the compatibility index of the fuzzy judgment matrix A and its characteristic matrix R : (6) Step 3.5: Determine whether the compatibility index passes the consistency test. If , then the consistency check passes, otherwise the questionnaire is reissued. .

[0034] Step 3.6: Sorting the vector As the initial value of the eigenvalue method iteration , further iterate to solve the sorting vector with higher accuracy .

[0035] Furthermore, the iterative solution of the sorting vector To check whether the iteration requirements are met, follow these steps: 3.6.1: Determine the initial value of the eigenvector The infinite norm of , specifically: , 3.6.2 Using the iterative formula, solve the eigenvector , specifically: , Where E is Reciprocal matrices, , .

[0036] 3.6.3: Determine the sorting vector Whether it meets the iteration requirements, if ,but is the maximum eigenvalue, is the iteration error. .

[0037] 3.6.4: If To meet the iteration requirements, Normalization is performed to obtain the target weight vector, and the iteration ends. Specifically: (11) like If the iteration requirement is not met, the value obtained by formula (11) is used as a new initial value and iterated again until the maximum number of iterations is completed. In this embodiment, the maximum number of iterations is 1000.

[0038] (12) The sorted vector obtained at this time That is the weight determined by the improved fuzzy analytic hierarchy process.

[0039] Step 4: Determine the comprehensive evaluation results using the weighted average method: , Where: —Indicator weight of the i-th characteristic, i=1,2,3; —The jth evaluation index weight of the ith characteristic; ——The evaluation score of the jth evaluation index of the ith characteristic; Step 5: According to the evaluation results, the system is divided into five levels: excellent, good, fair, passable and poor. The specific classification standards are shown in Table 2: Table 2 Classification standard of highway system resilience evaluation results , By analyzing the scores of each criterion layer, it is found that in this embodiment, the value of I is 86 points, and the evaluation result is good. According to the evaluation results, we can get the level of resilience of the highway transportation system. Combined with the size of the weight and the score of each criterion layer, we can analyze the reasons for the decline in the level of resilience of the highway transportation system and make targeted suggestions for the development of the resilience of the highway transportation system.

[0040] This embodiment constructs an evaluation index system for three aspects, namely, pre-disaster warning, disaster protection, and disaster recovery. An improved fuzzy analytic hierarchy process is used to determine the weight of each index. Based on the index weight and the quantitative score of each index, the weighted average method is used to determine the evaluation result of the resilience of highway transportation infrastructure. The improved fuzzy analytic hierarchy process can improve the problem of strong subjective factors in the analytic hierarchy process on the one hand, and improve the iteration efficiency and convergence accuracy of the fuzzy theory on the other hand, making the evaluation work more scientific and objective.

[0041] This embodiment also establishes three modules of pre-disaster warning, disaster protection, and disaster recovery for the road traffic infrastructure resilience evaluation system. Based on the above three categories of evaluation indicators, an improved fuzzy hierarchical analysis method is used to conduct a comprehensive evaluation of the resilience of the road system, with a total of 16 sub-category indicators (three-level indicators).

[0042] This system reserves an interface for the urban traffic management platform. Based on pre-disaster warning indicators, it can monitor the resilience of the highway system, facilitate real-time understanding of the current state of the resilience of the highway traffic system, and reduce casualties and losses caused by disasters.

[0043] A road traffic infrastructure resilience evaluation system, comprising: An indicator system construction module is used to analyze the infrastructure resilience of the highway to be evaluated according to the highway life cycle theory, and to construct a highway transportation infrastructure resilience evaluation indicator system based on the analysis results. The highway transportation infrastructure resilience evaluation indicator system includes several criterion layer indicators, including pre-disaster warning indicators, disaster protection indicators, and disaster recovery indicators. Each of the criterion layer indicators includes several sub-category indicators. A comprehensive evaluation module, used for performing weighted calculation on each indicator in the evaluation index system of road traffic infrastructure resilience according to the fuzzy analytic hierarchy process to obtain weight data of each indicator; The comprehensive evaluation results of the highway to be evaluated are calculated based on the weight data of each indicator.

[0044] An electronic device comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program so that the electronic device executes a road traffic infrastructure resilience assessment method.

[0045] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for evaluating the resilience of highway traffic infrastructure.

[0046] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for evaluating the resilience of highway traffic infrastructure, characterized in that: include: Based on the theory of the whole life cycle of highways, the infrastructure resilience of the highway to be evaluated is analyzed, and based on the analysis results, a highway transportation infrastructure resilience evaluation index system is constructed, which includes several criterion-level indicators, including pre-disaster warning indicators, disaster protection indicators, and disaster recovery indicators. Each of the criterion-level indicators includes several sub-category indicators; Based on the fuzzy analytic hierarchy process, weighted calculation is performed on each indicator in the highway traffic infrastructure resilience evaluation index system to obtain weight data of each indicator; The comprehensive evaluation results of the highway to be evaluated are calculated based on the weight data of each indicator.

2. A road traffic infrastructure resilience evaluation method according to claim 1, characterized in that: The pre-disaster warning indicators include risk management indicators, environmental monitoring indicators, facility monitoring indicators, hidden danger inspection indicators, hidden danger disposal indicators and severe convective weather warning advance time indicators.

3. A road traffic infrastructure resilience evaluation method according to claim 1, characterized in that: The disaster protection indicators include design parameter indicators, engineering quality indicators, technical condition indicators, road section flood resistance indicators and bridge flood resistance indicators.

4. A road traffic infrastructure resilience evaluation method according to claim 1, characterized in that: The disaster recovery indicators include rescue time indicators, rescue scope indicators, rescue capacity indicators, emergency recovery time indicators and reconstruction quality indicators.

5. A road traffic infrastructure resilience evaluation method according to claim 1, characterized in that: Based on the fuzzy analytic hierarchy process, each index in the highway traffic infrastructure resilience evaluation index system is weighted and calculated, including: Step S1: Evaluate and score each indicator in the highway traffic infrastructure resilience evaluation index system based on the three-scale method to obtain scoring data for each indicator; Step S2: Determine the weight data of each indicator based on the scoring data of each indicator according to the fuzzy hierarchical analysis method.

6. A road traffic infrastructure resilience evaluation method according to claim 5, characterized in that: The step S2 specifically includes: Step S21: constructing a fuzzy complementary judgment matrix based on the scoring data of each indicator, wherein the fuzzy complementary judgment matrix includes a criterion layer fuzzy complementary judgment matrix and a sub-category indicator fuzzy complementary judgment matrix corresponding to each criterion layer indicator; Step S22: Calculate the weight vectors corresponding to each fuzzy complementary judgment matrix based on the row sum method, and calculate the feature matrix corresponding to each fuzzy complementary judgment matrix based on the calculated weight vectors; Step S23: Calculate the compatibility index between each of the fuzzy complementary judgment matrices and the corresponding feature matrix. When the calculation result of the compatibility index is less than or equal to the preset threshold, the corresponding fuzzy complementary judgment matrix passes the consistency test; when the calculation result of the compatibility index is greater than the preset threshold, the corresponding fuzzy complementary judgment matrix fails the consistency test, and returns to step S1; Step S24: After the consistency check is passed, the weight vectors corresponding to each fuzzy complementary judgment matrix are iteratively optimized based on the eigenvalue method. When the iterative optimization reaches a preset number of times, the optimized weight vector is output.

7. A road traffic infrastructure resilience evaluation method according to claim 1, characterized in that: The comprehensive evaluation results of the highway to be evaluated are calculated based on the weight data of each indicator, including: Based on the weight data of each indicator, the comprehensive evaluation result of the transportation infrastructure resilience of the highway to be evaluated is calculated according to the weighted average method, and the calculated comprehensive evaluation result is graded based on the preset grade classification rules.

8. A road traffic infrastructure resilience evaluation system, characterized in that: include: An indicator system construction module is used to analyze the infrastructure resilience of the highway to be evaluated according to the highway life cycle theory, and to construct a highway transportation infrastructure resilience evaluation indicator system based on the analysis results. The highway transportation infrastructure resilience evaluation indicator system includes several criterion layer indicators, including pre-disaster warning indicators, disaster protection indicators, and disaster recovery indicators. Each of the criterion layer indicators includes several sub-category indicators. A comprehensive evaluation module, used for performing weighted calculation on each indicator in the highway traffic infrastructure resilience evaluation index system according to the fuzzy analytic hierarchy process to obtain weight data of each indicator; The comprehensive evaluation results of the highway to be evaluated are calculated based on the weight data of each indicator.

9. An electronic device, characterized in that: It includes a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute a road traffic infrastructure resilience evaluation method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: It stores a computer program, which, when executed by a processor, implements a road traffic infrastructure resilience evaluation method as described in any one of claims 1-7.

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