A method and system for evaluating the position of a construction fence of a highway construction zone

Abstract

The application discloses a construction fence position evaluation method and system for a highway construction zone, and belongs to the technical field of safety management of highway construction zones. The evaluation method comprises the following steps: performing a driving simulation experiment based on an experimental scene of different construction fence spacings of the highway construction zone to obtain experimental data; obtaining evaluation indexes based on the experimental data; constructing an AHP-SPA comprehensive evaluation model based on the evaluation indexes, obtaining an evaluation index set and an evaluation standard set, and constructing a comprehensive evaluation set pair based on the evaluation index set and the evaluation standard set; constructing an evaluation index membership degree model based on the comprehensive evaluation set pair; constructing an evaluation index weight model based on the evaluation index set; obtaining a connection degree of an evaluation object based on the evaluation index membership degree model and the evaluation index weight model; determining a safety evaluation grade based on the connection degree of the evaluation object, completing the construction fence position evaluation of the highway construction zone, and helping to reasonably set the fence facilities of the highway construction zone.

Description

[0001] This application is a divisional application of a patent application entitled "An Evaluation Method and System for the Location of Construction Enclosures in Highway Construction Zones", the original application was filed on January 3, 2023, application number 202310003899.1. Technical Field

[0002] This invention belongs to the field of safety management technology for highway construction areas, and in particular relates to a method and system for evaluating the location of construction enclosures in highway construction areas. Background Technology

[0003] Construction site fencing is a common traffic safety facility in road construction areas. The proper placement of these fencing locations plays a crucial role in ensuring traffic safety and conserving land resources within the construction zone. The sudden changes in the traffic environment caused by road construction significantly impact traffic flow and safety, sometimes even leading to traffic accidents. Considering the existing traffic flow on the road, construction typically involves closing some lanes or occupying the shoulder. Setting up construction fencing along the roadside creates a relatively isolated space, which is significant in reducing traffic accidents. When setting up construction zones within roads undergoing reconstruction or expansion, it is essential to ensure the passage of existing saturated traffic flow and operational safety, while also considering the land use and interface issues of the reconstruction / expansion work area. Therefore, the placement of construction fencing on highways during reconstruction and expansion projects becomes a critical issue in the process. Summary of the Invention

[0004] This invention provides a method and system for evaluating the location of construction barriers in highway construction areas. It evaluates the safety level of the spacing of construction barriers in construction areas from the perspective of driver load level and behavioral characteristics, thereby achieving optimized setting of construction barriers in highway construction areas.

[0005] To achieve the above objectives, the present invention provides the following technical solutions.

[0006] An evaluation method for construction enclosures in highway construction zones, specifically including the following steps: Driving simulation experiments were conducted based on experimental scenarios with different spacing between construction barriers in highway construction areas to obtain experimental data. The experimental scenario adopted a two-way six-lane highway. Under the condition of limited hard shoulder width, the existing emergency lane must have at least 1m as the working surface for road surface overlap and compaction, and the rightmost lane has a minimum lateral clearance of 0.5m. Based on the barrier height and barrier color determined by the preliminary design scheme of the reconstruction and expansion project, and using different lateral distances under the standard requirements as scenario variables, the driver's load level and vehicle response characteristics in different barrier scenarios were compared and analyzed. Based on the experimental data, evaluation indicators were obtained; the evaluation indicators included eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators; the eye movement indicators included blink frequency, pupil area, and the proportion of fixation time in the area of ​​interest; the EEG indicators included absolute power of beta waves and absolute power of theta waves; the driving evaluation indicators included longitudinal velocity standard deviation, brake pedal depth, and steering wheel angle. Based on the evaluation indicators, an AHP-SPA comprehensive evaluation model is constructed to obtain an evaluation indicator set and an evaluation standard set. Based on the evaluation indicator set and the evaluation standard set, a comprehensive evaluation set is constructed. The evaluation indicator set includes a target layer, primary indicators, and secondary indicators. The target layer is the evaluation of the location of construction enclosures in highway construction areas. The primary indicators include eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators. The secondary indicators include blink frequency, pupil area, fixation time ratio of interest areas, absolute power of beta waves, absolute power of theta waves, standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle. The k-means clustering method is used to calculate the evaluation indicator set to obtain the value range of the evaluation level corresponding to the evaluation indicator set, forming the evaluation standard set. Based on the comprehensive evaluation set pair, an evaluation index membership model is constructed; the membership degree of the comprehensive evaluation set pair is calculated using the intermediate maximum membership function to obtain the membership degree of the evaluation index and thus the index membership degree matrix R is obtained. Based on the evaluation index set, an evaluation index weight model is constructed; using expert scoring and a 1-9 scale method, the importance of each layer of evaluation indexes is compared pairwise to construct a judgment matrix; the judgment matrix is ​​standardized and summed to calculate the evaluation index weight values; a consistency check is performed to obtain the weight matrix W. Based on the membership model and weight model of the evaluation index, the connection degree of the evaluation object is obtained; the experimentally measured data is substituted into the AHP-SPA comprehensive evaluation model, and the n-ary connection degree expression and connection degree value of each index and the target layer are calculated according to the calculated membership degree and weight of each index. Based on the connectivity of the evaluated objects, the safety evaluation level is determined, and the evaluation of the location of the construction enclosure in the highway construction area is completed.

[0007] Optionally, the emergency lane of the highway is more than 3 meters wide.

[0008] Optionally, in the AHP-SPA comprehensive evaluation model, each indicator is divided into 5 levels according to the degree of safety: good, relatively good, average, relatively poor, and poor.

[0009] Optionally, the basic idea of ​​the AHP-SPA comprehensive evaluation model includes: Define the evaluation objectives; Determine the set of evaluation indicators and the set of evaluation criteria; Calculate the membership degree of the index; AHP calculates the weights of the indicators; Determine if the consistency check is satisfied; if not, return to the step of calculating the index weights in AHP. If the consistency check is satisfied, then calculate the degree of connection. Determine the safety assessment level; To conduct an evaluation.

[0010] Optionally, the step of substituting the experimentally measured data into the AHP-SPA comprehensive evaluation model, and calculating the n-ary correlation expression and correlation value between each indicator and the target layer based on the calculated indicator membership degree and the weight of each indicator, specifically includes: The experimental data obtained during the driving simulation experiment are input into the AHP-SPA comprehensive evaluation model. The membership matrix R of the indicators and the corresponding weight matrix W of the indicators are multiplied to calculate the 5-element relationship expression between each indicator and the target layer. Combined with the component matrix E = (1, i1, i2, ..., i... n‐2 The degree of connection of each evaluation object is calculated according to the formula U=W·R·E.

[0011] A system for evaluating the location of construction enclosures in a highway construction area includes an indicator selection module, an evaluation system construction module, an indicator membership degree calculation module, an indicator weight calculation module, a correlation degree calculation module, and a result analysis module; the indicator selection module, the evaluation system construction module, the indicator membership degree calculation module, the indicator weight calculation module, the correlation degree calculation module, and the result analysis module are connected sequentially. The selected indicator module is used to obtain evaluation indicators based on experimental data. The experimental data is obtained through driving simulation experiments in experimental scenarios with different spacing between construction barriers in highway construction areas. The experimental scenario adopts a two-way six-lane highway. Under the condition of limited hard shoulder width, the existing emergency lane must have at least 1m as the road surface overlap and compaction working surface, and the rightmost lane has a minimum lateral clearance of 0.5m. Based on the barrier height and barrier color determined by the preliminary design scheme of the reconstruction and expansion project, and using different lateral distances under the specifications as scenario variables, the driver's load level and vehicle response characteristics are compared and analyzed in different barrier scenarios. The evaluation indicators include eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators. The eye movement indicators include blink frequency, pupil area, and fixation time ratio of the area of ​​interest. The EEG indicators include absolute power of beta waves and absolute power of theta waves. The driving evaluation indicators include longitudinal velocity standard deviation, brake pedal depth, and steering wheel angle. The evaluation system construction module is used to construct an AHP-SPA comprehensive evaluation model based on the evaluation indicators, obtain an evaluation indicator set and an evaluation standard set, and construct a comprehensive evaluation set pair based on the evaluation indicator set and the evaluation standard set. The evaluation indicator set includes a target layer, primary indicators, and secondary indicators. The target layer is the evaluation of the location of construction enclosures in the highway construction area. The primary indicators include eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators. The secondary indicators include blink frequency, pupil area, fixation time ratio of interest area, absolute power of beta wave, absolute power of theta wave, standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle. The k-means clustering method is used to calculate the evaluation indicator set to obtain the value range of the evaluation level corresponding to the evaluation indicator set, forming an evaluation standard set. The index membership calculation module is used to calculate the membership degree of the evaluation index; the intermediate maximum membership function is used to calculate the membership degree of the comprehensive evaluation set pair to obtain the membership degree of the evaluation index and obtain the index membership degree matrix R. The indicator weight calculation module is used to calculate the weight values ​​of rating indicators; by using expert scoring and according to the 1-9 scale method, it compares the importance of each layer of evaluation indicators pairwise to construct a judgment matrix; it performs standardization and summation steps on the judgment matrix to calculate the weight values ​​of the evaluation indicators; and it performs consistency checks to obtain the weight matrix W. The connection degree calculation module is used to calculate the connection degree value; the experimentally measured data is substituted into the AHP-SPA comprehensive evaluation model, and the n-ary connection degree expression and connection degree value of each indicator and the target layer are calculated according to the calculated index membership degree and the weight of each indicator. The results analysis module is used to evaluate the location of construction enclosures in highway construction areas.

[0012] Optionally, the emergency lane of the highway is more than 3 meters wide.

[0013] Optionally, in the AHP-SPA comprehensive evaluation model, each indicator is divided into 5 levels according to the degree of safety: good, relatively good, average, relatively poor, and poor.

[0014] Optionally, the basic idea of ​​the AHP-SPA comprehensive evaluation model includes: Define the evaluation objectives; Determine the set of evaluation indicators and the set of evaluation criteria; Calculate the membership degree of the index; AHP calculates the weights of the indicators; Determine if the consistency check is satisfied; if not, return to the step of calculating the index weights in AHP. If the consistency check is satisfied, then calculate the degree of connection. Determine the safety assessment level; To conduct an evaluation.

[0015] Optionally, the step of substituting the experimentally measured data into the AHP-SPA comprehensive evaluation model, and calculating the n-ary correlation expression and correlation value between each indicator and the target layer based on the calculated indicator membership degree and the weight of each indicator, specifically includes: The experimental data obtained during the driving simulation experiment are input into the AHP-SPA comprehensive evaluation model. The membership matrix R of the indicators and the corresponding weight matrix W of the indicators are multiplied to calculate the 5-element relationship expression between each indicator and the target layer. Combined with the component matrix E = (1, i1, i2, ..., i... n‐2 The degree of connection of each evaluation object is calculated according to the formula U=W·R·E.

[0016] The present invention has the following beneficial effects: This invention constructs a comprehensive evaluation model based on AHP-SPA, which evaluates the location of construction enclosures in highway construction areas from the perspective of driver load level and behavioral characteristics, and determines the safety evaluation level of different construction enclosure spacing, which helps to rationally set up enclosure facilities in highway construction areas. Attached Figure Description

[0017] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an undue limitation of this application.

[0018] Figure 1 This is a flowchart illustrating an evaluation method for construction enclosures in a highway construction area according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the evaluation index system for evaluating driver load levels and behavioral characteristics constructed according to an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the basic concept of the AHP-SPA comprehensive evaluation model proposed in this embodiment of the invention. Detailed Implementation

[0019] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0020] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0021] This invention first conducts driving simulation experiments based on experimental scenarios with different spacing between construction barriers in highway construction areas to obtain experimental data; based on the experimental data, it obtains evaluation indicators; based on the evaluation indicators, it constructs an AHP-SPA comprehensive evaluation model to obtain a set of evaluation indicators and a set of evaluation standards; based on the set of evaluation indicators and the set of evaluation standards, it constructs a comprehensive evaluation set pair; based on the comprehensive evaluation set pair, it constructs an evaluation indicator membership degree model; based on the evaluation indicator set, it constructs an evaluation indicator weight model; based on the evaluation indicator membership degree model and the evaluation indicator weight model, it obtains the correlation degree of the evaluation objects; based on the correlation degree of the evaluation objects, it determines the safety evaluation level, thus completing the evaluation of the location of construction barriers in highway construction areas.

[0022] Example 1 like Figure 1 As shown in the figure, this embodiment provides a method for evaluating the location of construction enclosures in a highway construction area, specifically including the following steps S1 to S7.

[0023] S1. Design experimental scenarios with different spacing between construction barriers in the highway construction area and conduct driving simulation experiments.

[0024] First, the experimental scenario needs to be designed, using the spacing of different construction barriers in the highway construction area as experimental variables, and a driving simulation experiment should be conducted to obtain experimental data.

[0025] This experiment uses a six-lane, two-way highway as the experimental scenario. Lane width, emergency lane width, and road markings all meet the requirements of GB 5768.2-2022. Because the traffic volume has exceeded the maximum design capacity, it is necessary to widen the existing road to add new lanes. A certain width of the existing emergency lane will be used as the construction work surface for foundation compaction and the connection between the old and new sections. The remaining width of the emergency lane will be used for the construction barriers along the roadside. Therefore, the main purpose of this experiment is to investigate the distance between the construction barriers on the rightmost lane and the emergency lane of the highway under the condition of limited hard shoulder width.

[0026] Emergency lanes on highways are generally over 3 meters wide. Based on the actual construction needs of the reconstruction and expansion project, existing emergency lanes must have at least 1 meter of surface width for road overlap and compaction. According to JTG B01—2014 "Technical Standards for Highway Engineering," the minimum lateral clearance of the rightmost lane is 0.5 meters. Therefore, to determine a reasonable location for construction barriers within the existing emergency lanes, this study uses the barrier height and color determined in the preliminary design of the reconstruction and expansion project as a basis, and different lateral distances as required by regulations as scenario variables to compare and analyze driver load levels and vehicle response characteristics under different barrier scenarios.

[0027] S2. Based on research needs, select multiple psychological, physiological, and driving performance indicators that can characterize the driver's workload level and behavioral characteristics.

[0028] Multiple psychological, physiological, and driving performance indicators that characterize driver workload and behavioral characteristics were selected. These performance indicators (evaluation indicators) include eye-tracking indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators. Specifically, these include three eye-tracking indicators: blink frequency, pupil area, and the proportion of time spent fixating on areas of interest; two EEG indicators: absolute power of beta waves and absolute power of theta waves; and three driving behavior indicators: longitudinal velocity standard deviation, pedal depth, and steering wheel angle.

[0029] S3. Construct a comprehensive evaluation index system based on AHP-SPA, determine the evaluation index set according to the research objectives and the selected indicators, and determine the evaluation standard set according to the k-means clustering method.

[0030] Specifically, based on the evaluation indicators, an AHP-SPA comprehensive evaluation model is constructed; based on the AHP-SPA comprehensive evaluation model, an evaluation indicator set is obtained; the evaluation indicator set is calculated using the k-means clustering method to obtain the value range of the evaluation level corresponding to the evaluation indicator set; based on the value range of the evaluation level corresponding to the evaluation indicator set, an evaluation standard set is obtained. The evaluation indicator set includes a target layer, primary indicators, and secondary indicators; the target layer is the evaluation of the location of construction enclosures in the highway construction area; the primary indicators include eye-tracking indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators; the secondary indicators include blink frequency, pupil area, proportion of fixation time in the area of ​​interest, absolute power of beta waves, absolute power of theta waves, standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle.

[0031] Based on the research objectives of this experiment and the psychological, physiological, and driving evaluation indicators selected in S2 to characterize driver workload and behavioral characteristics, a comprehensive evaluation index system based on AHP-SPA is constructed, including a set of evaluation indicators and a set of evaluation criteria. For example... Figure 2 As shown, in the AHP-SPA comprehensive evaluation index system, the evaluation of the location of construction enclosures in highway construction areas is used as the target layer of the evaluation index set. It also includes three primary indicators (eye-tracking indicators, electroencephalogram indicators, and driving evaluation indicators) and eight secondary indicators (blink frequency, pupil diameter, fixation time ratio of areas of interest, absolute power of beta waves, absolute power of theta waves, standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle). Each indicator is divided into five levels based on safety (good, relatively good, average, relatively poor, and poor). The k-means clustering method is used to calculate the value range of each indicator's corresponding evaluation level, forming an evaluation standard set. The evaluation index set and the evaluation standard set constitute a set pair in the comprehensive evaluation, called the comprehensive evaluation set pair.

[0032] like Figure 3 As shown, the basic idea of ​​the AHP-SPA comprehensive evaluation model includes: determining the evaluation objective; determining the evaluation index set and evaluation standard set; calculating the membership degree of the indicators; calculating the weights of the indicators using AHP; determining whether the consistency check is satisfied; if not satisfied, returning to the step of calculating the weights of the indicators using AHP; if the consistency check is satisfied, calculating the correlation degree value; determining the safety evaluation level; and conducting the evaluation.

[0033] S4. Use the intermediate maximum membership function to determine the membership degree of each evaluation index.

[0034] Membership degrees are calculated for the comprehensive evaluation set pairs to obtain the membership degrees of the evaluation indicators; based on the membership degrees of the evaluation indicators, an evaluation indicator membership degree model is obtained.

[0035] Specifically, by using the intermediate maximum membership function and fuzzy analytical expression calculation, the membership degree of each index is obtained, thus obtaining the index membership degree matrix R.

[0036] S5. The weights of each evaluation index are calculated using the Analytic Hierarchy Process (AHP).

[0037] First, the evaluation index set is evaluated to obtain the importance of the evaluation indexes; based on the importance of the evaluation indexes, a judgment matrix is ​​constructed; the judgment matrix is ​​calculated to obtain the weight values ​​of the evaluation indexes; the consistency of the weight values ​​of the evaluation indexes is checked to construct an evaluation index weight model.

[0038] Specifically, the Analytic Hierarchy Process (AHP) is used to calculate the weights of each evaluation indicator. First, using expert scoring and a 1-9 scale, the importance of each evaluation indicator at each level is compared pairwise to construct a judgment matrix. The judgment matrix is ​​then standardized and summed to calculate the weight values ​​of the evaluation indicators. Finally, a consistency check is performed to obtain the weight matrix W.

[0039] S6. Substitute the experimentally measured data into the comprehensive evaluation model of AHP-SPA. Based on the membership degree of the indicators and the weight of each indicator calculated above, calculate the n-ary correlation expression and correlation value between each indicator and the target layer.

[0040] The experimental data is input into the AHP-SPA comprehensive evaluation model. Based on the membership degree and weight value of the evaluation index, the membership degree model and weight model of the evaluation index are calculated to obtain several element-wise correlation expressions. Based on the several element-wise correlation expressions and the component matrix, the correlation value of the evaluation object is obtained.

[0041] Specifically, the data measured during the driving simulation experiment are substituted into the comprehensive evaluation model based on AHP-SPA. The membership degree and weight of each indicator are calculated using the method described above. The membership degree matrix R and the corresponding weight matrix W are multiplied to calculate the 5-element relationship expression between each indicator and the target layer. This is combined with the component matrix E = (1, i1, i2, ..., i...). n‐2 The degree of connection of each evaluation object is calculated according to the formula U=W·R·E.

[0042] S7. Based on the correlation values ​​of each evaluation object calculated by the model, the safety evaluation level is determined, thereby evaluating the location of the construction enclosure in the highway construction area.

[0043] Based on the connectivity values ​​of each evaluation object calculated by the AHP-SPA comprehensive evaluation model, the safety evaluation level of each evaluation object is determined. Based on the safety evaluation results of different construction fence spacing, the location of the highway construction fence is evaluated.

[0044] This invention constructs a comprehensive evaluation model based on AHP-SPA, which evaluates the location of construction enclosures in highway construction areas from the perspective of driver load level and behavioral characteristics, and determines the safety evaluation level of different construction enclosure spacing, which helps to rationally set up enclosure facilities in highway construction areas.

[0045] Example 2 This embodiment provides a construction site enclosure location evaluation system for highway construction areas, including an indicator selection module, an evaluation system construction module, an indicator membership degree calculation module, an indicator weight calculation module, a correlation degree calculation module, and a result analysis module; the indicator selection module, the evaluation system construction module, the indicator membership degree calculation module, the indicator weight calculation module, the correlation degree calculation module, and the result analysis module are connected sequentially.

[0046] The indicator selection module is used to select rating indicators.

[0047] Specifically, the indicator module is used to select evaluation indicators that can characterize the driver's workload level and behavioral characteristics, including eye movement indicators: blink frequency, pupil area, and fixation time ratio of the area of ​​interest; EEG indicators: absolute power of beta waves and absolute power of theta waves; and driving evaluation indicators: standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle.

[0048] The evaluation system construction module is used to construct a comprehensive evaluation index system based on AHP-SPA.

[0049] Specifically, the evaluation system construction module is used to construct a comprehensive evaluation index system based on AHP-SPA, and to determine the evaluation index set, including the evaluation of the location of the construction enclosure in the highway construction area of ​​the target layer, as well as 3 primary indicators (eye movement index, electroencephalogram index, driving evaluation index) and 8 secondary indicators (blink frequency, pupil area, fixation time ratio of the area of ​​interest, absolute power of beta wave, absolute power of theta wave, standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle); and to determine the evaluation standard set, which is divided into 5 levels (good, relatively good, average, relatively poor, and poor) according to the degree of safety, thus forming the set pairs in the comprehensive evaluation.

[0050] The index membership calculation module is used to calculate the membership degree of evaluation indicators.

[0051] Specifically, the index membership calculation module uses the intermediate maximum membership function and fuzzy analytical expression to obtain the membership degree of each index.

[0052] The indicator weight calculation module is used to calculate the weight values ​​of the rating indicators.

[0053] Specifically, the indicator weight calculation module constructs a judgment matrix using expert scoring; it then performs calculations on the judgment matrix to determine the weight values ​​of each evaluation indicator; and finally, it conducts a consistency check to obtain the weight matrix W.

[0054] The connection degree calculation module is used to calculate the connection degree value.

[0055] Specifically, the connectivity calculation module calculates the 5-element connectivity expression for each evaluation object based on the calculated membership degree of the indicators and the weight of each indicator, and calculates the connectivity value based on the component matrix.

[0056] The results analysis module is used to evaluate the location of construction enclosures in highway construction areas.

[0057] Specifically, the results analysis module determines the safety evaluation level of each evaluation object based on the calculated correlation value of each evaluation object, and evaluates the location of the construction enclosure in the highway construction area based on the quality of the safety evaluation level.

[0058] This invention evaluates the location of construction barriers in highway construction areas from the perspective of driver load level and behavioral characteristics, and constructs a comprehensive evaluation model based on AHP-SPA to determine the safety evaluation level of different construction barrier spacing, which helps to rationally set up construction barrier facilities in highway construction areas.

[0059] The above description is merely a preferred embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for evaluating the location of construction enclosures in a highway construction area, characterized in that, Includes the following steps: Driving simulation experiments were conducted based on experimental scenarios with different spacing between construction barriers in highway construction areas to obtain experimental data. The experimental scenario adopted a two-way six-lane highway. Under the condition of limited hard shoulder width, the existing emergency lane must have at least 1m as the working surface for road surface overlap and compaction, and the rightmost lane has a minimum lateral clearance of 0.5m. Based on the barrier height and barrier color determined by the preliminary design scheme of the reconstruction and expansion project, and using different lateral distances under the standard requirements as scenario variables, the driver's load level and vehicle response characteristics in different barrier scenarios were compared and analyzed. Based on the experimental data, evaluation indicators were obtained; the evaluation indicators included eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators; the eye movement indicators included blink frequency, pupil area, and the proportion of fixation time in the area of ​​interest; the EEG indicators included absolute power of beta waves and absolute power of theta waves; the driving evaluation indicators included longitudinal velocity standard deviation, brake pedal depth, and steering wheel angle. Based on the evaluation indicators, an AHP-SPA comprehensive evaluation model is constructed to obtain an evaluation indicator set and an evaluation standard set. Based on the evaluation indicator set and the evaluation standard set, a comprehensive evaluation set is constructed. The evaluation indicator set includes a target layer, primary indicators, and secondary indicators. The target layer is the evaluation of the location of construction enclosures in highway construction areas. The primary indicators include eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators. The secondary indicators include blink frequency, pupil area, fixation time ratio of interest areas, absolute power of beta waves, absolute power of theta waves, standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle. The k-means clustering method is used to calculate the evaluation indicator set to obtain the value range of the evaluation level corresponding to the evaluation indicator set, forming the evaluation standard set. Based on the aforementioned comprehensive evaluation set, a membership model for evaluation indicators is constructed. The membership degree of the comprehensive evaluation set is calculated by using the intermediate maximum membership function to obtain the membership degree of the evaluation index and thus the index membership degree matrix R. Based on the evaluation index set, an evaluation index weight model is constructed; using expert scoring and a 1-9 scale method, the importance of each evaluation index is compared pairwise to construct a judgment matrix. The judgment matrix is ​​standardized and summed to calculate the weight values ​​of the evaluation indicators; a consistency check is performed to obtain the weight matrix W. Based on the membership model and weight model of the evaluation indicators, the degree of connection of the evaluation objects is obtained. Substitute the experimentally measured data into the AHP-SPA comprehensive evaluation model, and calculate the n-ary correlation expression and correlation value between each indicator and the target layer based on the calculated membership degree and weight of each indicator. Based on the connectivity of the evaluated objects, the safety evaluation level is determined, and the evaluation of the location of the construction enclosure in the highway construction area is completed.

2. The method for evaluating the location of construction enclosures in a highway construction area as described in claim 1, characterized in that, The emergency lane of the highway is more than 3 meters wide.

3. The method for evaluating the location of construction enclosures in a highway construction area as described in claim 1, characterized in that, In the AHP-SPA comprehensive evaluation model, each indicator is divided into 5 levels according to its safety level: good, relatively good, average, poor, and very poor.

4. The method for evaluating the location of construction enclosures in a highway construction area as described in claim 1, characterized in that, The basic idea of ​​the AHP-SPA comprehensive evaluation model includes: Define the evaluation objectives; Determine the set of evaluation indicators and the set of evaluation criteria; Calculate the membership degree of the index; AHP calculates the weights of the indicators; Determine if the consistency check is satisfied; if not, return to the step of calculating the index weights in AHP. If the consistency check is satisfied, then calculate the degree of connection. Determine the safety assessment level; To conduct an evaluation.

5. The method for evaluating the location of construction enclosures in a highway construction area as described in claim 1, characterized in that, The process involves substituting the experimentally measured data into the AHP-SPA comprehensive evaluation model, and calculating the n-ary correlation expression and correlation value between each indicator and the target layer based on the calculated indicator membership degree and weight of each indicator. Specifically, this includes: The experimental data obtained during the driving simulation experiment are input into the AHP-SPA comprehensive evaluation model. The membership matrix R of the indicators and the corresponding weight matrix W of the indicators are multiplied to calculate the 5-element relationship expression between each indicator and the target layer. Combined with the component matrix E = (1, i1, i2, ..., i... n‐2 The degree of connection of each evaluation object is calculated according to the formula U=W·R·E.

6. A system for evaluating the location of construction enclosures in a highway construction zone, characterized in that, It includes an indicator selection module, an evaluation system construction module, an indicator membership degree calculation module, an indicator weight calculation module, a correlation degree calculation module, and a result analysis module; the indicator selection module, the evaluation system construction module, the indicator membership degree calculation module, the indicator weight calculation module, the correlation degree calculation module, and the result analysis module are connected in sequence; The selected indicator module is used to obtain evaluation indicators based on experimental data. The experimental data is obtained through driving simulation experiments in experimental scenarios with different spacing between construction barriers in highway construction areas. The experimental scenario adopts a two-way six-lane highway. Under the condition of limited hard shoulder width, the existing emergency lane must have at least 1m as the road surface overlap and compaction working surface, and the rightmost lane has a minimum lateral clearance of 0.5m. Based on the barrier height and barrier color determined by the preliminary design scheme of the reconstruction and expansion project, and using different lateral distances under the specifications as scenario variables, the driver's load level and vehicle response characteristics are compared and analyzed in different barrier scenarios. The evaluation indicators include eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators. The eye movement indicators include blink frequency, pupil area, and fixation time ratio of the area of ​​interest. The EEG indicators include absolute power of beta waves and absolute power of theta waves. The driving evaluation indicators include longitudinal velocity standard deviation, brake pedal depth, and steering wheel angle. The evaluation system construction module is used to construct an AHP-SPA comprehensive evaluation model based on the evaluation indicators, obtain an evaluation indicator set and an evaluation standard set, and construct a comprehensive evaluation set pair based on the evaluation indicator set and the evaluation standard set. The evaluation indicator set includes a target layer, primary indicators, and secondary indicators. The target layer is the evaluation of the location of construction enclosures in the highway construction area. The primary indicators include eye movement indicators, electroencephalogram (EEG) indicators, and driving evaluation indicators. The secondary indicators include blink frequency, pupil area, fixation time ratio of interest area, absolute power of beta wave, absolute power of theta wave, standard deviation of longitudinal velocity, brake pedal depth, and steering wheel angle. The k-means clustering method is used to calculate the evaluation indicator set to obtain the value range of the evaluation level corresponding to the evaluation indicator set, forming an evaluation standard set. The index membership calculation module is used to calculate the membership degree of the evaluation index; the intermediate maximum membership function is used to calculate the membership degree of the comprehensive evaluation set pair to obtain the membership degree of the evaluation index and obtain the index membership degree matrix R. The indicator weight calculation module is used to calculate the weight values ​​of the rating indicators; by using the expert scoring method and the 1-9 scale method, the importance of each layer of evaluation indicators is compared pairwise to construct a judgment matrix; The judgment matrix is ​​standardized and summed to calculate the weight values ​​of the evaluation indicators; a consistency check is performed to obtain the weight matrix W. The connection degree calculation module is used to calculate the connection degree value; the experimentally measured data is substituted into the AHP-SPA comprehensive evaluation model, and the n-ary connection degree expression and connection degree value of each indicator and the target layer are calculated according to the calculated index membership degree and the weight of each indicator. The results analysis module is used to evaluate the location of construction enclosures in highway construction areas.

7. The construction enclosure location evaluation system for highway construction areas as described in claim 6, characterized in that, The emergency lane of the highway is more than 3 meters wide.

8. The construction enclosure location evaluation system for highway construction areas as described in claim 6, characterized in that, In the AHP-SPA comprehensive evaluation model, each indicator is divided into 5 levels according to its safety level: good, relatively good, average, poor, and very poor.

9. The construction enclosure location evaluation system for highway construction areas as described in claim 6, characterized in that, The basic idea of ​​the AHP-SPA comprehensive evaluation model includes: Define the evaluation objectives; Determine the set of evaluation indicators and the set of evaluation criteria; Calculate the membership degree of the index; AHP calculates the weights of the indicators; Determine if the consistency check is satisfied; if not, return to the step of calculating the index weights in AHP. If the consistency check is satisfied, then calculate the degree of connection. Determine the safety assessment level; To conduct an evaluation.

10. The construction enclosure location evaluation system for highway construction areas as described in claim 6, characterized in that, The process involves substituting the experimentally measured data into the AHP-SPA comprehensive evaluation model, and calculating the n-ary correlation expression and correlation value between each indicator and the target layer based on the calculated indicator membership degree and weight of each indicator. Specifically, this includes: The experimental data obtained during the driving simulation experiment are input into the AHP-SPA comprehensive evaluation model. The membership matrix R of the indicators and the corresponding weight matrix W of the indicators are multiplied to calculate the 5-element relationship expression between each indicator and the target layer. Combined with the component matrix E = (1, i1, i2, ..., i... n‐2 The degree of connection of each evaluation object is calculated according to the formula U=W·R·E.

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