A method and system for determining the lead distance of a work zone warning sign

Abstract

The application relates to a method and system for determining the front distance of a work zone warning sign, the method comprising: obtaining eye movement and electroencephalogram test data, processing the eye movement and electroencephalogram test data; establishing a matter element comprehensive evaluation model, inputting the processed eye movement and electroencephalogram test data into the matter element comprehensive evaluation model, and obtaining an evaluation grade and a corresponding characteristic value; and determining the front distance of the work zone warning sign according to the evaluation grade and the corresponding characteristic value. The method determines the effective front distance range of the work zone warning sign from the perspective of the change of the driver's alertness, constructs a comprehensive evaluation model based on matter element analysis to determine the time for maintaining the driver's alertness, and thus obtains the reasonable front distance of the work zone warning sign, which is helpful for the reasonable setting of the work zone warning sign.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traffic safety of maintenance work area, in particular to a method and system for determining the pre-position distance of a work area warning sign. BACKGROUND

[0002] As an important safety facility on the road, the setting of traffic signs can guide drivers to drive safely and help drivers to accurately predict the road conditions ahead. Traffic engineering not only requires that the font, size, color, setting form and position of the traffic sign be strictly designed according to the specification, but also has corresponding requirements for the setting position of the traffic sign. If the setting position of the traffic sign is improper, the corresponding information may not be conveyed, and even the opposite effect may be caused, resulting in traffic accidents. In cognitive psychology and human factors engineering, if the distance between the traffic sign setting position and the target object is too close, the driver may have actually seen the target object, and the traffic sign loses the effect of early warning. If the distance is too far, the driver may have forgotten the warning information brought by the traffic sign after a long time of driving. Considering the above two aspects, under the premise that the traffic sign setting position meets the specification, how to realize the pre-position distance of the traffic sign is the key problem of the research.

[0003] With the increasing length of highways in China and the increasing number of cars, the number of highway maintenance operations is increasing, and the number of accidents in the continuously growing maintenance construction area is also increasing. Among the facilities for ensuring traffic safety in the maintenance construction area, the work area warning sign is the most important early warning facility. The work area warning sign warns of the existence of the work area ahead and reminds the driver to take corresponding actions such as lane changing and speed reduction. The pre-position distance of the work area warning sign has a huge impact on its warning effect. If the work area warning sign is set too close to the maintenance area, the driver will still be in a panic state when entering the work area, and the warning sign will not play its role. If the warning sign is set too far from the work area, the driver may think that the warning sign is set incorrectly, which will cause the driver to lose trust in the traffic sign. Therefore, it is necessary to determine the appropriate pre-position distance of the work area warning sign to make it play its role effectively. SUMMARY

[0004] The purpose of the present application is to provide a method and system for determining the pre-position distance of a work area warning sign, which determines the effective pre-position distance range of the work area warning sign from the perspective of the length of the road section that the driver is warned by the work area warning sign, so as to ensure the effectiveness of the work area warning sign and provide protection for the traffic safety of the work area.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] A method for determining the pre-distance of a work zone warning sign, comprising:

[0007] Obtaining eye movement and electroencephalogram test data of a driver, processing the eye movement and electroencephalogram test data;

[0008] Establishing a matter-element comprehensive evaluation model, inputting the processed eye movement and electroencephalogram test data into the matter-element comprehensive evaluation model, and obtaining an evaluation grade and a corresponding characteristic value;

[0009] Determining the pre-distance of a work zone warning sign according to the evaluation grade and the corresponding characteristic value.

[0010] Preferably, obtaining the eye movement and electroencephalogram test data comprises:

[0011] Selecting an experimental scene of an entry section of a work zone, presetting a work zone warning sign, setting an experimental starting point before a minimum recognition distance range of the warning sign, setting an experimental ending point at a minimum recognition range of the work zone, conducting a test experiment, and obtaining the eye movement and electroencephalogram test data;

[0012] The eye movement and electroencephalogram test data include a driver's scan video rate, electroencephalogram beta and theta wave values, skin electricity, and heart rate data.

[0013] Preferably, processing the eye movement and electroencephalogram test data comprises:

[0014] Dividing the eye movement and electroencephalogram test data in chronological order to obtain a plurality of matter elements to be evaluated.

[0015] Preferably, obtaining the evaluation grade and the corresponding characteristic value comprises:

[0016] Normalizing the same data in the matter elements to be evaluated, dividing the normalized matter elements to be evaluated by a K-means mean clustering method to obtain a division result, taking the division result as a definition domain of the matter-element comprehensive evaluation model, and taking a total range of the definition domain as a range domain of the matter-element comprehensive evaluation model;

[0017] Determining the weights of the driver's scan video rate, electroencephalogram beta and theta wave values, skin electricity, and heart rate data in the matter-element comprehensive evaluation model by an entropy weight method;

[0018] Determining the evaluation grade and the corresponding characteristic value of the matter elements to be evaluated by calculating the correlation degree between the matter elements to be evaluated and the evaluation grade.

[0019] Preferably, determining the pre-distance of a work zone warning sign according to the evaluation grade and the corresponding characteristic value comprises:

[0020] The road section without the construction distance sign is selected for a contrast experiment, same experimental data of the eye movement and the electroencephalogram test data are obtained as a control object element, the control object element is input into the object element comprehensive evaluation model, an evaluation grade and a corresponding characteristic value of the control object element are obtained, and the evaluation grade and the corresponding characteristic value of the control object element are input into the object element comprehensive evaluation model.

[0021] A preset judgment threshold is set, the evaluation grade and the corresponding characteristic value of the to-be-evaluated object element and the evaluation grade and the corresponding characteristic value of the control object element are judged according to the judgment threshold, a keeping time of the alert consciousness is obtained, the keeping time of the alert consciousness is calculated, an effective action section length of the warning sign is obtained, and the front distance of the work area warning sign is determined according to the effective action section length of the warning sign.

[0022] Preferably, the keeping time of the alert consciousness comprises:

[0023] When the evaluation grade of the to-be-evaluated object element is different from the evaluation grade of the control object element, the evaluation grade of the to-be-evaluated object element is higher than the evaluation grade of the control object element, and a time period contained thereby is taken as the keeping time of the alert consciousness; when the evaluation grade of the to-be-evaluated object element is the same as the evaluation grade of the control object element, the corresponding characteristic value of the control object element is higher than the corresponding characteristic value of the to-be-evaluated object element, and a time period contained thereby is taken as the keeping time of the alert consciousness.

[0024] Preferably, the front distance of the work area warning sign is determined according to the effective action section length of the warning sign, and comprises:

[0025] A vehicle running speed is obtained, and the effective action section length L1 of the warning sign is obtained by multiplying the vehicle running speed and the keeping time of the alert consciousness.

[0026] The minimum visual recognition distance L2 of the work area warning sign and the minimum visual recognition distance L3 of the proposed maintenance work area are obtained by using a field measurement method, the optimal front distance L1+L3-L2 of the work area warning sign is obtained, and the front distance of the work area warning sign is determined to be in a range of L3 to L1+L3-L2.

[0027] To achieve the above object, the application further provides a system for determining the front distance of the work area warning sign, comprising:

[0028] The real vehicle experiment scene selection and setting module, the experimental data division module, the object element model comprehensive evaluation module, the alert consciousness keeping time measurement module and the farthest front distance determination module;

[0029] The real vehicle experiment scene selection and setting module is configured to obtain eye movement and electroencephalogram test data; the experimental data division module is configured to process the eye movement and electroencephalogram test data to obtain a plurality of to-be-evaluated matter elements; the matter element model comprehensive evaluation module is configured to obtain an evaluation grade and a corresponding characteristic value of the to-be-evaluated matter elements; the alertness consciousness retention time measurement module is configured to obtain the retention time of alertness consciousness according to the evaluation grade and the corresponding characteristic value of the to-be-evaluated matter elements; and the farthest advance distance determination module is configured to determine the advance distance of the work zone warning sign according to the retention time of alertness consciousness.

[0030] The real vehicle experiment scene selection and setting module, the experimental data division module, the matter element model comprehensive evaluation module, the alertness consciousness retention time measurement module and the farthest advance distance determination module are sequentially connected.

[0031] The present application has the following advantages:

[0032] The present application provides a method and system for determining the advance distance of a work zone warning sign, which determines the effective advance distance range of the work zone warning sign from the perspective of providing the length of the alertness consciousness section to the driver by the work zone warning sign, thereby ensuring the effectiveness of the work zone warning sign and providing protection for the traffic safety of the work zone. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0034] Figure 1 A flowchart of a method for determining the advance distance of a work zone warning sign according to an embodiment of the present application;

[0035] Figure 2 A schematic diagram of the calculation principle of the farthest advance distance of a work zone warning sign according to an embodiment of the present application. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0037] A method for determining the advance distance of a work zone warning sign, comprising:

[0038] obtaining eye movement and electroencephalogram test data of the driver, processing the eye movement and electroencephalogram test data;

[0039] establishing a matter element comprehensive evaluation model, inputting the processed eye movement and electroencephalogram test data into the matter element comprehensive evaluation model, and obtaining an evaluation grade and a corresponding characteristic value;

[0040] determining a front distance of a warning sign of a work area according to the evaluation grade and the corresponding characteristic value.

[0041] Further, obtaining the eye movement and electroencephalogram test data comprises:

[0042] selecting an experimental scene of an entrance section of the work area, presetting a warning sign of the work area, setting an experimental starting point before a minimum visual recognition distance range of the warning sign, setting an experimental ending point at a minimum visual recognition range of the work area, performing a test experiment, and obtaining the eye movement and electroencephalogram test data.

[0043] The eye movement and electroencephalogram test data comprise a video scanning rate, electroencephalogram beta and theta wave values, skin electricity, and heart rate data of the driver.

[0044] Further, processing the eye movement and electroencephalogram test data comprises:

[0045] dividing the eye movement and electroencephalogram test data in chronological order to obtain a plurality of matter elements to be evaluated.

[0046] Further, obtaining the evaluation grade and the corresponding characteristic value comprises:

[0047] normalizing the same kind of data in the matter elements to be evaluated, dividing the normalized matter elements to be evaluated by a K-means mean clustering method to obtain a division result, taking the division result as a definition domain of the matter element comprehensive evaluation model, and taking a total range of the definition domain as a range domain of the matter element comprehensive evaluation model.

[0048] determining weights of the video scanning rate, the electroencephalogram beta and theta wave values, the skin electricity, and the heart rate data of the driver in the matter element comprehensive evaluation model by an entropy weight method;

[0049] determining the evaluation grade and the corresponding characteristic value of the matter elements to be evaluated by calculating a correlation degree between the matter elements to be evaluated and the evaluation grade.

[0050] Further, determining the front distance of the warning sign of the work area according to the evaluation grade and the corresponding characteristic value comprises:

[0051] The road section without the construction distance sign is selected for a contrast experiment, same experimental data of the eye movement and the electroencephalogram test data are obtained as a control object element, the control object element is input into the object element comprehensive evaluation model, an evaluation grade and a corresponding characteristic value of the control object element are obtained, and the evaluation grade and the corresponding characteristic value of the control object element are input into the object element comprehensive evaluation model;

[0052] A preset judgment threshold is set, the evaluation grade and the corresponding characteristic value of the to-be-evaluated object element and the evaluation grade and the corresponding characteristic value of the control object element are judged according to the judgment threshold, a keeping time of the alert consciousness is obtained, the keeping time of the alert consciousness is calculated, an effective action section length of the warning sign is obtained, and the front distance of the work area warning sign is determined according to the effective action section length of the warning sign.

[0053] Further, the keeping time of the alert consciousness includes:

[0054] When the evaluation grade of the to-be-evaluated object element is different from the evaluation grade of the control object element, the evaluation grade of the to-be-evaluated object element is higher than the evaluation grade of the control object element, and a time period contained thereby is taken as the keeping time of the alert consciousness; when the evaluation grade of the to-be-evaluated object element is the same as the evaluation grade of the control object element, the corresponding characteristic value of the control object element is higher than the corresponding characteristic value of the to-be-evaluated object element, and a time period contained thereby is taken as the keeping time of the alert consciousness.

[0055] Further, the front distance of the work area warning sign is determined according to the effective action section length of the warning sign, and includes:

[0056] A vehicle running speed is obtained, and the effective action section length L1 of the warning sign is obtained by multiplying the vehicle running speed and the keeping time of the alert consciousness.

[0057] The minimum visual recognition distance L2 of the work area warning sign and the minimum visual recognition distance L3 of the proposed maintenance work area are obtained by using a field measurement method, the best front distance L1+L3-L2 of the work area warning sign is obtained, and the front distance of the work area warning sign is determined to be in a range of L3 to L1+L3-L2.

[0058] To achieve the above object, the application further provides a system for determining the front distance of the work area warning sign, which comprises:

[0059] The real vehicle experiment scene selection and setting module, the experimental data division module, the object element model comprehensive evaluation module, the alert consciousness keeping time measurement module and the farthest front distance determination module;

[0060] The real vehicle experiment scene selection and setting module is configured to acquire eye movement and electroencephalogram test data; the experimental data division module is configured to process the eye movement and electroencephalogram test data to acquire a plurality of to-be-evaluated matter elements; the matter element model comprehensive evaluation module is configured to acquire evaluation levels and corresponding characteristic values of the to-be-evaluated matter elements; the alertness consciousness retention time measurement module is configured to acquire a retention time of alertness consciousness according to the evaluation levels and corresponding characteristic values of the to-be-evaluated matter elements; and the farthest advance distance determination module is configured to determine an advance distance of a work zone warning sign according to the retention time of alertness consciousness.

[0061] The real vehicle experiment scene selection and setting module, the experimental data division module, the matter element model comprehensive evaluation module, the alertness consciousness retention time measurement module, and the farthest advance distance determination module are sequentially connected.

[0062] The application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0063] As shown in Figure 1 , the embodiment provides a method for determining an advance distance of a work zone warning sign, which includes the following steps:

[0064] S1, selecting a suitable test scene at an entrance section of a work zone;

[0065] S2, calling a plurality of drivers to wear eye movement and electroencephalogram test instruments to conduct experiments and acquire video scanning rates, electroencephalogram beta and theta wave values, skin electricity, and heart rate data of the drivers;

[0066] S3, dividing experimental data of the test drivers into a plurality of parts as to-be-evaluated matter elements in chronological order, and making the time length of each part of experimental data as short as possible;

[0067] S4, substituting the plurality of matter element data into a matter element comprehensive evaluation model to obtain evaluation levels and corresponding characteristic values of the plurality of matter elements;

[0068] S5, conducting a contrast real vehicle experiment on a road section without a construction distance sign on site, acquiring the same experimental data as a contrast matter element, and calculating an evaluation level and a characteristic value of the contrast matter element. A time section in which the matter element evaluation level in S4 is higher than the contrast matter element evaluation level is taken as a retention time of alertness consciousness;

[0069] S6, multiplying the retention time of the alertness consciousness of the driver by a running speed on the road section to obtain an effective action distance L1 of the warning sign, taking a minimum distance at which the driver can recognize the warning sign as L2 and a minimum distance at which the driver can recognize the work zone as L3. L2 and L3 change due to terrain, road section, weather, and the like, and therefore a field measurement method is adopted;

[0070] S7, the alertness of the driver brought by the work zone warning sign needs to continue until the driver can identify the work zone at the minimum distance, and the calculation formula of the farthest front distance of the work zone warning sign is L1+L3-L2; taking L3 as the nearest front distance of the work zone warning sign, the front distance range of the finally effective work zone warning sign is L3 to L1+L3-L2 in the maintenance work zone.

[0071] Further optimization scheme, S1, S2, S3, S4, S5, S6 and S7 respectively include:

[0072] S101, select the experimental scene in the project site, and select the experimental section upstream of the actual maintenance area; the experimental scene needs to preset a work zone warning sign, and the experimental starting point is set before the minimum visual recognition distance range of the preset warning sign, and the end point is as close as possible to the minimum visual recognition range of the actual work area;

[0073] S201, call the subjects to wear eye movement, electroencephalogram, and physiological instruments to conduct real vehicle experiments on the experimental road section, and require the subjects to drive at the actual speed of the on-site vehicle as much as possible, and record the real-time eye movement scanning video rate, electroencephalogram β, θ wave value, and physiological skin electricity, heart rate data of the subjects during the experiment;

[0074] S301, divide the experimental data of the subjects in time sequence, divide the experimental data of the subjects into n units every 1 second, and take the average value of each item of data of all subjects in the same time period unit as an evaluation object, and finally obtain n evaluation objects;

[0075] S401, normalize the same kind of data of all subjects in all time period units, and all data values after normalization are between 0 and 1;

[0076] S402, the same kind of data of all subjects in all time period units is divided into 5 different data (very good, good, medium, poor, very poor) through K-means mean clustering method; the value range of each kind of data is taken as the definition domain of the corresponding level in the object model, and the total value range of the same kind of data is taken as the section domain of the index in the object model;

[0077] Among them, the definition domain and the section domain of the index are only the calculation parameters of the object model, which is a condition for calculating the object model;

[0078] S403, 5n data contained in n evaluation units are substituted into the entropy weight method to determine the weight proportion of 5 indexes in the object model;

[0079] S404、After the definition domain, section domain and corresponding weight of each index are determined, the corresponding data of n units to be evaluated are substituted into the matter element comprehensive evaluation unit, and the evaluation level and corresponding characteristic value of n units to be evaluated are calculated;

[0080] S501、Before the field experiment section, a control real vehicle experiment is carried out, in the control real vehicle experiment, except that there is no preset work area warning sign, the rest of the elements are consistent with the experiment section; the mean value of all index data of each subject in the control experiment is taken as a control matter element, which is substituted into the matter element evaluation model in the previous step to obtain the evaluation level and corresponding characteristic value of the control matter element;

[0081] S502、The time period between the first evaluation matter element whose evaluation result is much better than that of the control matter element and the evaluation matter element whose evaluation result is almost consistent with that of the control matter element is taken as the maintenance time T1 of the driver's alertness after recognizing the work area warning sign, specifically:

[0082] The maintenance time of the driver's alertness after seeing the warning sign is the time period contained in the evaluation matter element whose evaluation level is better than that of the control matter element or whose evaluation level is the same as that of the control matter element but whose characteristic value is better than that of the control matter element; this time period should be continuous, if there is a break in the middle, only the time period contained in the part before the break is taken;

[0083] The maintenance time of the alertness is the part of the evaluation result of the evaluation matter element that is better than that of the control matter element. This part contains two cases, the first case is that the evaluation level of the evaluation matter element is directly better than that of the control matter element; the second case is that the evaluation levels of the two are the same, but the characteristic value of the evaluation matter element is better than that of the control matter element.

[0084] S601、The T1 is multiplied by the running speed of the vehicle in the experiment field to obtain the maintenance length L1 of the driver's alertness (alertness maintenance time * vehicle running speed);

[0085] S602、The minimum recognition distance L2 (field test) of the work area warning sign to be set in the field and the minimum recognition distance L3 (field test) of the maintenance work area to be set are determined by field measurement;

[0086] S701、The best preposition distance L1+L3-L2 of the work area warning sign is calculated;

[0087] S702、L3 is taken as the nearest preposition distance of the work area warning sign, and the preposition distance range of the finally effective work area warning sign is set to the range from the front L3 to L1+L3-L2 of the maintenance work area;

[0088] A system for determining the preposition distance of a work area warning sign, comprising:

[0089] The real vehicle experiment scene selection and setting module, the experimental data division module, the matter element model comprehensive evaluation module, the alertness maintenance time measurement module and the farthest front distance determination module;

[0090] The real vehicle experiment scene selection and setting module is used for obtaining eye movement and electroencephalogram test data; the experimental data division module is used for processing the eye movement and electroencephalogram test data to obtain a plurality of to-be-evaluated matter elements; the matter element model comprehensive evaluation module is used for obtaining an evaluation grade and a corresponding characteristic value of the to-be-evaluated matter elements; the alertness maintenance time measurement module is used for obtaining the maintenance time of alertness through the evaluation grade and the corresponding characteristic value of the to-be-evaluated matter elements; and the farthest front distance determination module is used for determining the front distance of the work zone warning sign according to the maintenance time of alertness.

[0091] The real vehicle experiment scene selection and setting module, the experimental data division module, the matter element model comprehensive evaluation module, the alertness maintenance time measurement module and the farthest front distance determination module are sequentially connected, and specifically:

[0092] The real vehicle experiment scene selection and setting module: the experiment should be carried out on the project site, and the experimental section is selected on the upstream of the actual maintenance zone; the experimental scene needs to be preset with a work zone warning sign, and the starting point of the experiment is set before the minimum recognition distance range of the preset warning sign, and the end point is as close as possible to the minimum recognition range of the actual work zone.

[0093] The real vehicle experiment module: the subjects are called to conduct real vehicle experiments on the experimental road section, and the subjects are required to drive at the actual speed of the on-site vehicle as much as possible; the real-time eye movement scanning video rate, electroencephalogram beta and theta wave values, and physiological skin electricity and heart rate data of the subjects during the experiment are recorded;

[0094] The experimental data division module: the experimental data of the subjects are divided in time sequence, and the experimental data of the subjects can be divided into n units according to every 0.5 seconds, 1 second or 2 seconds (the smaller the time period is, the more accurate the final result will be); the average value of each item of data of all subjects in the same time period unit is taken as a to-be-evaluated matter element, and finally n to-be-evaluated matter elements are obtained;

[0095] The complete matter element evaluation model comprises: 1, determining the evaluation index; 2 determining the definition domain and the section domain of the evaluation index; 3, determining the weight of the evaluation index; 4, calculating the correlation degree of the to-be-evaluated scheme and each evaluation grade; 5, determining the final evaluation grade of the to-be-evaluated scheme. In the application, the data divided in each period is regarded as a to-be-evaluated scheme, and after evaluation, the change of the evaluation result (i.e. the alertness) of each period data can be known, when the evaluation result (alertness) is worse than the evaluation result (alertness) without setting the warning sign, it is indicated that the warning sign has no alertness effect on the driver in the period, so that the length of the alertness maintenance time of the warning sign is determined.

[0096] The matter element model comprehensive evaluation module comprises:

[0097] The first matter element comprehensive evaluation module: normalizing the same kind of data of all time period units of all subjects;

[0098] The second matter element comprehensive evaluation module: dividing the same kind of data of all time period units of all subjects into 5 different kinds of data (very good, better, medium, worse and very bad) through the K-means mean clustering method; the value range of each kind of data is taken as the definition domain of the corresponding grade in the matter element model, and the total value range of a kind of data is taken as the section domain of the index in the matter element model;

[0099] The third matter element comprehensive evaluation module: putting the 5n data contained in the n evaluation units into the entropy weight method, to determine the weight proportion of the 5 indexes in the matter element model;

[0100] The fourth matter element comprehensive evaluation module: after determining the definition domain, the section domain and the corresponding weight of each index, the corresponding data of the n to-be-evaluated units are put into the matter element comprehensive evaluation unit, to calculate the evaluation grade and the corresponding characteristic value of the n to-be-evaluated matter elements;

[0101] The alertness maintenance time measurement module comprises:

[0102] The first alertness maintenance time measurement module: a control real vehicle experiment is carried out before the experimental section, and the elements in the control real vehicle experiment are consistent with those in the experimental section except that there is no preset work area warning sign; the mean value of all index data of all subjects in the control experiment is taken as a control matter element, which is put into the matter element evaluation model in the above step to obtain the evaluation grade and the corresponding characteristic value of the control matter element;

[0103] The second alertness maintenance time measuring module: after the driver recognizes the work zone warning sign, the driver's alertness is improved, and the evaluation results of the to-be-evaluated matter elements in a period of time thereafter are better than the evaluation results of the control matter elements on the control experiment road section. The period of time between the first to-be-evaluated matter element whose evaluation result is much better than the result of the control matter element and the to-be-evaluated matter element whose evaluation result is close to the evaluation result of the control matter element is taken as the maintenance time T1 of the driver's alertness after recognizing the work zone warning sign.

[0104] The farthest advance distance determining module:

[0105] The first farthest advance distance determining module: T1 is multiplied by the running speed of the vehicle in the experiment site to obtain the maintenance length L1 of the driver's alertness;

[0106] The second farthest advance distance determining module: the minimum recognition distance L2 of the work zone warning sign to be set in the site and the minimum recognition distance L3 of the maintenance work zone are determined by field measurement;

[0107] The third farthest advance distance determining module: the farthest advance distance is L1+L3-L2;

[0108] The final effective advance distance range determining module: when the driver can recognize the maintenance work zone, the driver can understand the specific location information of the maintenance work zone, and at this time, setting the work zone warning sign is "unnecessary", therefore, the advance distance of the work zone sign should be greater than the minimum recognition distance L3 of the maintenance work zone; therefore, the setting range of the final work zone effective advance distance is L3 to L1+L3-L2 in front of the maintenance work zone.

[0109] The above-described embodiments are only descriptions of the preferred modes of the present application, and do not limit the scope of the present application. Various modifications and improvements to the technical solutions of the present application made by those of ordinary skill in the art without departing from the design spirit of the present application should fall within the protection scope of the present application as defined by the claims.

Claims

1. A method for determining the lead distance of a warning sign in a work area, characterized in that, The method comprises the following steps: obtaining eye movement and electroencephalogram test data of a driver, and processing the eye movement and electroencephalogram test data; processing the eye movement and electroencephalogram test data comprises the following steps: dividing the eye movement and electroencephalogram test data in chronological order to obtain a plurality of to-be-evaluated matter elements; establishing a matter element comprehensive evaluation model, inputting the processed eye movement and electroencephalogram test data into the matter element comprehensive evaluation model to obtain an evaluation grade and a corresponding characteristic value; obtaining the evaluation grade and the corresponding characteristic value comprises the following steps: normalizing the same kind of data in the to-be-evaluated matter elements, dividing the normalized to-be-evaluated matter elements by means of K-means mean clustering to obtain a division result, taking the division result as a definition domain of the matter element comprehensive evaluation model, and taking a total range of the definition domain as a section domain of the matter element comprehensive evaluation model; determining the weight of the driver's video scanning rate, electroencephalogram beta and theta wave values, skin electricity and heart rate data in the matter element comprehensive evaluation model by means of entropy weight method; determining the evaluation grade and the corresponding characteristic value of the to-be-evaluated matter elements by calculating the correlation degree between the to-be-evaluated matter elements and the evaluation grade; determining the pre-position distance of a work zone warning sign according to the evaluation grade and the corresponding characteristic value; determining the pre-position distance of a work zone warning sign according to the evaluation grade and the corresponding characteristic value comprises the following steps: selecting a road section without a construction distance sign to perform a control experiment, obtaining the same experimental data of the eye movement and electroencephalogram test data as a control matter element, inputting the control matter element into the matter element comprehensive evaluation model to obtain an evaluation grade and a corresponding characteristic value of the control matter element; presetting a judgment threshold, judging the evaluation grade and the corresponding characteristic value of the to-be-evaluated matter elements and the evaluation grade and the corresponding characteristic value of the control matter element according to the judgment threshold, obtaining a maintenance time of alertness, calculating the maintenance time of alertness to obtain an effective action length of a warning sign, and determining the pre-position distance of a work zone warning sign according to the effective action length of the warning sign; obtaining the maintenance time of alertness comprises the following steps: when the evaluation grade of the to-be-evaluated matter elements is different from the evaluation grade of the control matter elements, the evaluation grade of the to-be-evaluated matter elements is higher than the evaluation grade of the control matter elements, and a time period contained thereby is taken as the maintenance time of alertness; when the evaluation grade of the to-be-evaluated matter elements is the same as the evaluation grade of the control matter elements, the corresponding characteristic value of the control matter elements is higher than the corresponding characteristic value of the to-be-evaluated matter elements, and a time period contained thereby is taken as the maintenance time of alertness; determining the pre-position distance of a work zone warning sign according to the effective action length of the warning sign comprises the following steps: obtaining a vehicle running speed, and multiplying the vehicle running speed by the maintenance time of alertness to obtain an effective action length L1 of a warning sign. The minimum visual distance L2 of the work zone warning sign and the minimum visual distance L3 of the proposed maintenance work zone are obtained by using field measurement method, the optimal advance distance L1+L3-L2 of the work zone warning sign is obtained, and the advance distance of the work zone warning sign is determined to be in the range of L3 to L1+L3-L2.

2. The method of determining the lead distance of a work zone warning sign according to claim 1, wherein, The eye movement and electroencephalogram test data acquisition includes: An experimental scene of the entrance section of the work zone is selected, a work zone warning sign is preset, the experimental starting point is set before the minimum visual distance range of the warning sign, the experimental ending point is set at the minimum visual distance range of the work zone, a test experiment is performed, and the eye movement and electroencephalogram test data are obtained. The eye movement and electroencephalogram test data include the scan video rate, electroencephalogram beta and theta wave values, skin electricity, and heart rate data of the driver.

3. A system for determining the lead distance of a work zone warning sign implemented according to the method of any one of claims 1-2, characterized in that, The method includes: The real vehicle experimental scene selection and setting module, the experimental data division module, the matter element model comprehensive evaluation module, the alertness maintenance time measurement module, and the farthest advance distance determination module are included. The real vehicle experimental scene selection and setting module is used to obtain the eye movement and electroencephalogram test data; the experimental data division module is used to process the eye movement and electroencephalogram test data to obtain a plurality of to-be-evaluated matter elements; and the matter element model comprehensive evaluation module is used to obtain the evaluation grade and corresponding characteristic value of the to-be-evaluated matter elements. The alertness maintenance time measurement module obtains the alertness maintenance time according to the evaluation grade and corresponding characteristic value of the to-be-evaluated matter elements; and the farthest advance distance determination module is used to determine the advance distance of the work zone warning sign according to the alertness maintenance time. The real vehicle experimental scene selection and setting module, the experimental data division module, the matter element model comprehensive evaluation module, the alertness maintenance time measurement module, and the farthest advance distance determination module are sequentially connected.

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