Subway guide mark utility evaluation method based on vision

Abstract

The invention discloses a subway guiding identification utility evaluation method based on vision, and relates to the technical field of subway guiding identifications, and the method comprises the steps of S1, subway guiding identification test arrangement, S2, primary identification test, S3, secondary identification test, S4, utility evaluation and S5, early warning process.The subway guiding identification utility evaluation method based on vision improves the accuracy of subway guiding secondary identification utility analysis, and improves the efficiency of subway guiding secondary identification. Therefore, powerful data support is provided for subsequent improvement of the subway guiding secondary mark, the use effect of the secondary mark in actual operation of a subway station is guaranteed, the occurrence rate of lost and doubt conditions is reduced, the travel experience of citizens is guaranteed, and the operation efficiency of the subway is improved. According to the invention, the effectiveness of the main identifier is evaluated from the information transmission accuracy, the display definition and the execution efficiency of the main identifier, the data source is rich, the evaluation result is comprehensive, the effective effect of the subway identifier on passengers is ensured, and the value of the effectiveness analysis of the subway identifier is improved.

Description

Technical Field

[0001] The invention relates to the technical field of subway guide signs, and in particular to a subway guide sign utility evaluation method based on vision. Background Art

[0002] With the acceleration of urbanization, the subway, as the backbone of public transportation in large cities, carries an ever-increasing passenger flow. A clear, accurate and user-friendly directional sign is crucial to improving passengers' travel efficiency, ensuring riding safety and enhancing passenger satisfaction. Evaluating the effectiveness of subway directional signs is of great value to multiple stakeholders. First, for passengers, an efficient directional system can greatly reduce the chances of getting lost and hesitating, and improve the overall travel experience. Secondly, for subway operators, a good sign system can reduce the number of times passengers consult staff, reduce labor costs, and reduce safety hazards and potential liability risks. Therefore, evaluating the effectiveness of subway directional signs is extremely important.

[0003] The utility evaluation and analysis of subway guide signs in the existing technology can meet the current requirements to a certain extent, but there are still certain defects, which are specifically reflected in the following aspects:

[0004] 1. In the prior art, when testing the effectiveness of subway directional signs, there is a lack of distinguishing analysis between primary signs and secondary signs. The primary signs and secondary signs have a certain correlation, and the effectiveness of the primary signs affects the effectiveness of the secondary signs. The prior art ignores this aspect, resulting in inaccurate effectiveness analysis of subway directional secondary signs, and thus it is difficult to provide strong data support for the subsequent improvement of subway directional secondary signs, resulting in poor use of secondary signs in the actual operation of subway stations, thereby increasing the incidence of getting lost and hesitation, reducing citizens' travel experience, and reducing the operating efficiency of the subway.

[0005] 2. The evaluation of the effectiveness of subway main signs in the existing technology often lacks objectivity and systematicness. On the one hand, it relies more on personal subjective feelings or a single questionnaire survey, and such evaluation results are difficult to fully reflect the problem. On the other hand, there are physical differences among passengers of different age groups, and there are certain differences in the demand for clear display of subway main signs and the time it takes to find the exit through the subway main signs. The neglect of this aspect in the existing technology makes it difficult to ensure the effective effect of subway signs on passengers, reduces the value of subway signs, and is not conducive to ensuring the efficient exit of passengers. Summary of the invention

[0006] The purpose of the present invention is to provide a method for evaluating the effectiveness of subway guide signs based on vision, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a vision-based subway guide sign effectiveness evaluation method, including: S1. Subway guide sign test arrangement: recruit test volunteers of various age groups for the guide signs of designated subway stations, and randomly assign them to a primary sign test group and a secondary sign test group, thereby obtaining test volunteers of various age groups in the main sign test group and test volunteers of various age groups in the secondary sign test group.

[0008] S2. Main logo test: arrange the test destination for each test volunteer of each age stage in the main logo test group, and obtain the experimental distance, actual exit and test duration of each test volunteer of each age stage in the main logo test group.

[0009] S3. Sub-logo test: arrange test exits for each volunteer of each age group in the sub-logo test group, obtain the observation time of each volunteer of each age group in each sub-logo test group through eye tracking technology, and record the actual exits and test time of each volunteer of each age group in the sub-logo test group.

[0010] S4. Utility evaluation: The utility evaluation coefficient of the main subway sign is evaluated based on the experimental distance, actual exit and test time of each test volunteer at each age stage in the main sign test group, and the utility evaluation coefficient of the secondary subway sign is evaluated based on the actual exit, test time and observation time of each secondary sign of each volunteer at each age stage in the secondary sign test group.

[0011] S5. Early warning processing: Issue early warning to subway management personnel based on the utility evaluation coefficient of the subway guide primary sign and the utility evaluation coefficient of the subway guide secondary sign.

[0012] Furthermore, it is characterized in that the specific analysis method for evaluating the utility evaluation coefficient of the subway guidance main sign is: based on the test destination of each test volunteer of each age stage in the main sign test group, the destination exit of each test volunteer of each age stage in the main sign test group is located from the main sign.

[0013] The actual exit of each test volunteer of each age stage in the main identification test group is compared with the destination exit. If the actual exit of a test volunteer of a certain age stage in the main identification test group is the same as the destination exit, the test volunteer is recorded as a qualified volunteer. Otherwise, the volunteer is recorded as a risk volunteer. Then the qualified volunteers and risk volunteers of each age stage in the main identification test group are obtained, and the information communication accuracy evaluation index ε of the main identification test group is analyzed.

[0014] Based on the experimental distance of each test volunteer at each age stage in the main logo test group, the display clarity η of the main logo is calculated.

[0015] Based on the test time of each test volunteer at each age stage of the main identification test group, the test time of each qualified volunteer is obtained, and then the execution efficiency evaluation coefficient μ of the main identification test group is evaluated.

[0016] Calculate the utility evaluation coefficient of the main subway sign Where e is a natural constant, and λ1, λ2, and λ3 represent the impact weight factors corresponding to the predefined information transmission accuracy, display clarity, and execution efficiency, respectively.

[0017] Furthermore, the information transmission accuracy evaluation index ε of the analysis main identification test group is specifically analyzed by counting the number of qualified volunteers and the number of risk volunteers at each age stage of the main identification test group, and dividing the number of qualified volunteers at each age stage of the main identification test group by the number of risk volunteers to obtain the information transmission accuracy ratio coefficient A of each age stage of the main identification test group i , where i is the number of each age stage, i=1,2,...,n, and n is any integer greater than 2.

[0018] Evaluation coefficient of information transmission accuracy ratio fluctuation of the main logo test group Where n is the number of age stages.

[0019] Obtain the appropriate information transmission accuracy ratio coefficient A of each age group of the main logo test group from the database i ′, evaluate the information transmission accuracy evaluation index of the main logo test group

[0020] Furthermore, the display clarity η of the main logo is calculated, and its specific analysis method is as follows: the number of permanent residents and the flow of people near the designated subway station are obtained from the monitoring platform, the number of permanent residents and the flow of people near each operating subway station, the actual longest congestion distance and the actual shortest congestion distance of the main logo are obtained from the database, the longest congestion distance and the shortest congestion distance of the main logo of the designated subway station are screened, and the middle value is selected as the reference experimental distance of the main logo of the subway station.

[0021] Based on the experimental distances of each test volunteer at each age stage in the main logo test group, the average test experimental distances of each age stage in the main logo test group are obtained, and the display clarity influencing factors of each age stage are extracted from the database.

[0022] The average test experimental distance of each age group of the main logo test group is divided by the reference experimental distance, and multiplied by the display clarity influencing factor to obtain the display clarity σ of each age group of the main logo test group. i .

[0023] Calculate the display clarity of the main logo Among them, γ1 and γ2 represent the proportion factors corresponding to the average display clarity and display clarity fluctuation, respectively.

[0024] Furthermore, the execution efficiency evaluation coefficient μ of the main identification test group is evaluated by a specific method of obtaining the test time of each qualified volunteer based on the test time of each test volunteer of each age group of the main identification test group.

[0025] The test time of each qualified volunteer at each age stage in the main identification test group is averaged to obtain the average test time of each age stage in the main identification test group, and compared with the appropriate test time interval of each age stage in the main identification test stored in the database. If the average test time of a certain age stage in the main identification test group is within the appropriate test time interval, then the age stage is recorded as the appropriate age stage, and the execution efficiency risk value of the age stage is recorded as C. Otherwise, the following analysis is performed:

[0026] This age stage is recorded as the risk age stage, and the excess test time of this age stage is obtained, and then the excess test time of this age stage is divided by the appropriate test time to obtain the execution efficiency risk value of this age stage.

[0027] The execution efficiency risk value C of each appropriate age stage of the main identification test group is obtained by statistics m and the execution efficiency risk value C′ at each risk age stage p , where m is the number of each appropriate age stage, m=1,2,...,l, l is any integer greater than 2, and p is the number of each risk age stage, p=1,2,...,q, q is any integer greater than 2.

[0028] Count the number of suitable age groups D and the number of risk age groups D′ in the main identification test group, and then evaluate the execution efficiency evaluation coefficient of the main identification test group Where l is the number of suitable age groups and q is the number of risky age groups.

[0029] Furthermore, the utility evaluation coefficient of the subway guide secondary sign is specifically analyzed by the following method: the actual exit of each volunteer of each age stage in the secondary sign test group is compared with the test exit. If the actual exit of a volunteer of a certain age stage in the secondary sign test group is the same as the test exit, the volunteer is recorded as a successful volunteer. Otherwise, the volunteer is recorded as a failed volunteer. The successful volunteers and failed volunteers of each age stage in the secondary sign test group are obtained, and the execution efficiency evaluation coefficient of the secondary sign test group is evaluated in combination with the actual exit of each volunteer of each age stage in the secondary sign test group and the test duration.

[0030] Based on the observation time of each sub-logo by each volunteer of each age group in the sub-logo test group, the display clarity of the sub-logo is analyzed.

[0031] Calculate the utility evaluation coefficient of subway guide secondary signs Wherein χ1 and χ2 represent the proportion factors corresponding to the predefined execution efficiency and display clarity, respectively.

[0032] Furthermore, the specific analysis method of the execution efficiency evaluation coefficient of the sub-identification test group is as follows: extracting the appropriate test time interval for each age stage in the sub-identification test from the database, and selecting the middle value of the appropriate test time interval for each age stage in the sub-identification test as the reference test time.

[0033] Based on the test time of each volunteer at each age stage of the sub-identification test group, the test time of each successful volunteer at each age stage of the sub-identification test group is obtained, and it is divided by the reference test time to obtain the execution efficiency risk value of each successful volunteer at each age stage of the sub-identification test group, and the average is processed to obtain the average execution efficiency risk value SC of each age stage of the sub-identification test group i .

[0034] Count the number of successful volunteers and failed volunteers of each age group in the sub-identification test group, and evaluate the execution efficiency evaluation coefficient of the sub-identification test group

[0035] Furthermore, the display clarity of the sub-identification is specifically analyzed by the following method: obtaining the associated exits corresponding to each sub-identification from the cloud database, and based on the test exits of each volunteer at each age stage of the sub-identification test group, screening the sub-identifications corresponding to the test exits of each volunteer at each age stage of the sub-identification test group, and recording them as the associated sub-identifications of each volunteer at each age stage of the sub-identification test group, and recording the remaining sub-identifications as ordinary sub-identifications.

[0036] Based on the observation time of each volunteer of each age stage in each sub-identification test group, extract the observation time TI of each associated sub-identification of each volunteer of each age stage in the sub-identification test group ijh and the observation time TI of each common sub-mark ijf , where j is the number of each volunteer, j=1,2,...,k, k is any integer greater than 2, h is the number of each associated sub-identification, h=1,2,...,g, g is any integer greater than 2, f is the number of each common sub-identification, f=1,2,...,t, t is any integer greater than 2.

[0037] Calculate the display clarity of the secondary logo Among them, UI and UI′ are the allowed observation time of the associated identification and the allowed observation time of the common identification stored in the database respectively, t is the number of common sub-identifications, g is the number of associated sub-identifications, and k is the number of volunteers.

[0038] The beneficial effects of the present invention are: 1. The present invention divides the test volunteers into a main sign test group and a secondary sign test group in S1. The subway guide sign test arrangement lays the foundation for subsequent targeted testing of the main sign test group and the secondary sign test group.

[0039] In S2. the main identification test, the present invention arranges a test destination for volunteers in the main identification test group, and then obtains the experimental distance and test duration between the test volunteers and the main identification, providing data support for subsequent utility analysis of the main identification.

[0040] In S3. the sub-identification test, the present invention arranges test exits for volunteers in the sub-identification test group and obtains the observation time of the volunteers on each sub-identification, laying a foundation for the subsequent utility analysis of the sub-identification.

[0041] The present invention conducts targeted analysis on the utility of the subway guide primary sign and the utility of the secondary sign in S4. utility evaluation, overcomes the defect of the prior art that there is a lack of distinctive analysis of the primary sign and the secondary sign, improves the accuracy of the utility analysis of the subway guide secondary sign, and further provides strong data support for the subsequent improvement of the subway guide secondary sign, ensures the use effect of the secondary sign in the actual operation of the subway station, thereby reducing the incidence of getting lost and hesitation, ensuring the travel experience of citizens, and improving the operation efficiency of the subway.

[0042] The present invention evaluates the utility of the subway main sign in S4. Utility evaluation, and evaluates the utility of the main sign from the perspective of the main sign's information transmission accuracy, display clarity, and execution efficiency, which overcomes the shortcomings of the prior art in the utility analysis of the subway main sign, which lacks objectivity and systematicness. On the one hand, the data source is relatively rich and the evaluation result is relatively comprehensive. On the other hand, when analyzing the utility of the subway main sign, the influence of physical differences among passenger groups of different age groups is taken into account, thereby ensuring the effective effect of the subway sign on passengers, improving the value of the subway sign utility analysis, and facilitating the efficient exit of passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] 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 or the description of the prior art 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.

[0044] Figure 1It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Reference Figure 1 As shown, the present invention provides a vision-based subway guide sign effectiveness evaluation method, including: S1. Subway guide sign test arrangement: recruit test volunteers of various age groups for the guide signs of designated subway stations, and randomly assign them to a primary sign test group and a secondary sign test group, thereby obtaining test volunteers of various age groups in the primary sign test group and test volunteers of various age groups in the secondary sign test group.

[0047] It should be noted that the primary sign is a schematic diagram of the site environment, and the secondary sign is an exit indication sign.

[0048] The present invention divides the test volunteers into a main sign test group and a secondary sign test group in S1. subway guide sign test arrangement, thereby laying a foundation for subsequent targeted testing of the main sign test group and the secondary sign test group.

[0049] S2. Main logo test: arrange the test destination for each test volunteer of each age stage in the main logo test group, and obtain the experimental distance, actual exit and test duration of each test volunteer of each age stage in the main logo test group.

[0050] It should be noted that the experimental distance is the shortest distance at which the test volunteers of all age groups in the main logo test group observe the main logo, the actual exit is the subway exit determined by the test volunteers of all age groups in the main logo test group according to the test destination through the main logo, and the test duration is the duration for the test volunteers to determine the subway exit.

[0051] It should be noted that the experimental distances of the test volunteers of different age groups in the main identification test group were obtained through the subway station monitoring platform.

[0052] It should also be noted that the mobile terminal is used to record the actual exit and test duration of each test volunteer of each age group in the main identification test group.

[0053] In S2. the main identification test, the present invention arranges a test destination for volunteers in the main identification test group, and then obtains the experimental distance and test duration between the test volunteers and the main identification, providing data support for subsequent utility analysis of the main identification.

[0054] S3. Sub-logo test: arrange test exits for each volunteer of each age group in the sub-logo test group, obtain the observation time of each volunteer of each age group in each sub-logo test group through eye tracking technology, and record the actual exits and test time of each volunteer of each age group in the sub-logo test group.

[0055] It should be noted that the actual exit is the subway exit of each volunteer of each age group in the secondary identification test group, and the test duration is the duration of use of the subway exit by each volunteer of each age group in the secondary identification test group.

[0056] It should also be noted that the mobile terminal is used to record the test duration of each test volunteer of each age stage in the secondary identification test group.

[0057] In S3. the sub-identification test, the present invention arranges test exits for volunteers in the sub-identification test group and obtains the observation time of the volunteers on each sub-identification, laying a foundation for the subsequent utility analysis of the sub-identification.

[0058] S4. Utility evaluation: The utility evaluation coefficient of the main subway sign is evaluated based on the experimental distance, actual exit and test time of each test volunteer at each age stage in the main sign test group, and the utility evaluation coefficient of the secondary subway sign is evaluated based on the actual exit, test time and observation time of each secondary sign of each volunteer at each age stage in the secondary sign test group.

[0059] In a specific embodiment of the present invention, the utility evaluation coefficient of the subway guidance main sign is evaluated by a specific analysis method as follows: based on the test destinations of the test volunteers of each age group in the main sign test group, the destination exits of the test volunteers of each age group in the main sign test group are located from the main sign.

[0060] The actual exit of each test volunteer of each age stage in the main identification test group is compared with the destination exit. If the actual exit of a test volunteer of a certain age stage in the main identification test group is the same as the destination exit, the test volunteer is recorded as a qualified volunteer. Otherwise, the volunteer is recorded as a risk volunteer. Then the qualified volunteers and risk volunteers of each age stage in the main identification test group are obtained, and the information communication accuracy evaluation index ε of the main identification test group is analyzed.

[0061] Based on the experimental distance of each test volunteer at each age stage in the main logo test group, the display clarity η of the main logo is calculated.

[0062] Based on the test time of each test volunteer at each age stage of the main identification test group, the test time of each qualified volunteer is obtained, and then the execution efficiency evaluation coefficient μ of the main identification test group is evaluated.

[0063] Calculate the utility evaluation coefficient of the main subway sign Where e is a natural constant, and λ1, λ2, and λ3 represent the impact weight factors corresponding to the predefined information transmission accuracy, display clarity, and execution efficiency, respectively.

[0064] It should be noted that the value ranges of λ1, λ2, and λ3 are all from 0 to 1.

[0065] In a specific embodiment of the present invention, the information transmission accuracy evaluation index ε of the analysis main identification test group is specifically analyzed by counting the number of qualified volunteers and the number of risk volunteers at each age stage of the main identification test group, and dividing the number of qualified volunteers at each age stage of the main identification test group by the number of risk volunteers to obtain the information transmission accuracy ratio coefficient A of each age stage of the main identification test group. i , where i is the number of each age stage, i=1,2,...,n, and n is any integer greater than 2.

[0066] Evaluation coefficient of information transmission accuracy ratio fluctuation of the main logo test group Where n is the number of age stages.

[0067] Obtain the appropriate information transmission accuracy ratio coefficient A of each age group of the main logo test group from the database i ′, evaluate the information transmission accuracy evaluation index of the main logo test group

[0068] It should be noted that the accuracy ratio coefficient of appropriate information transmission for each age group of the main logo test group is set by the test experts and stored in the database.

[0069] In a specific embodiment of the present invention, the display clarity η of the main logo is calculated, and its specific analysis method is as follows: obtaining the number of permanent residents and the flow of people near the designated subway station from the monitoring platform, obtaining the number of permanent residents and the flow of people near each operating subway station, the actual longest congestion distance and the actual shortest congestion distance of the main logo from the database, screening the longest congestion distance and the shortest congestion distance of the main logo of the designated subway station, and selecting the middle value as the reference experimental distance of the main logo of the subway station.

[0070] It should be noted that the specific screening method for the longest crowding distance and the shortest crowding distance of the main logo of the designated subway station in the above screening is as follows: subtract the number of permanent residents and the flow of people near the subway station from the number of permanent residents and the flow of people near each operating subway station, and obtain the difference in the number of permanent residents and the flow of people near the subway station and each operating subway station; if the difference in the number of permanent residents near the subway station and a certain operating subway station is within the predefined allowable range of the difference in the number of permanent residents near the subway station, and the difference in the flow of people between the subway station and the operating subway station is within the predefined allowable range of the difference in the number of people near the subway station, then the operating subway station is recorded as a matching subway station, and the matching subway stations of the subway station are obtained, and then the actual longest running crowding distance and the actual shortest running crowding distance of the main logo of each matching subway station of the subway station are obtained, and the averages are performed respectively to obtain the longest crowding distance and the shortest crowding distance of the main logo of the subway station.

[0071] Based on the experimental distances of each test volunteer at each age stage in the main logo test group, the average test experimental distances of each age stage in the main logo test group are obtained, and the display clarity influencing factors of each age stage are extracted from the database.

[0072] It should be noted that the display clarity influencing factors for each age group are set by testing experts and stored in the database.

[0073] The average test experimental distance of each age group of the main logo test group is divided by the reference experimental distance, and multiplied by the display clarity influencing factor to obtain the display clarity σ of each age group of the main logo test group. i .

[0074] Calculate the display clarity of the main logo Among them, γ1 and γ2 represent the proportion factors corresponding to the average display clarity and display clarity fluctuation, respectively.

[0075] It should be noted that the value ranges of γ1 and γ2 are both from 0 to 1.

[0076] In a specific embodiment of the present invention, the execution efficiency evaluation coefficient μ of the main identification test group is evaluated by a specific evaluation method: based on the test time of each test volunteer of each age stage of the main identification test group, the test time of each qualified volunteer is obtained.

[0077] The test time of each qualified volunteer at each age stage in the main identification test group is averaged to obtain the average test time of each age stage in the main identification test group, and compared with the appropriate test time interval of each age stage in the main identification test stored in the database. If the average test time of a certain age stage in the main identification test group is within the appropriate test time interval, then the age stage is recorded as the appropriate age stage, and the execution efficiency risk value of the age stage is recorded as C. Otherwise, the following analysis is performed:

[0078] This age stage is recorded as the risk age stage, and the excess test time of this age stage is obtained, and then the excess test time of this age stage is divided by the appropriate test time to obtain the execution efficiency risk value of this age stage.

[0079] The execution efficiency risk value C of each appropriate age stage of the main identification test group is obtained by statistics m and the execution efficiency risk value C′ at each risk age stage p , where m is the number of each appropriate age stage, m=1,2,...,l, l is any integer greater than 2, and p is the number of each risk age stage, p=1,2,...,q, q is any integer greater than 2.

[0080] Count the number of suitable age groups D and the number of risk age groups D′ in the main identification test group, and then evaluate the execution efficiency evaluation coefficient of the main identification test group Where l is the number of suitable age groups and q is the number of risky age groups.

[0081] The present invention evaluates the utility of the subway main sign in S4. Utility evaluation, and evaluates the utility of the main sign from the perspective of the main sign's information transmission accuracy, display clarity, and execution efficiency, which overcomes the shortcomings of the prior art in the utility analysis of the subway main sign, which lacks objectivity and systematicness. On the one hand, the data source is relatively rich and the evaluation result is relatively comprehensive. On the other hand, when analyzing the utility of the subway main sign, the influence of physical differences among passenger groups of different age groups is taken into account, thereby ensuring the effective effect of the subway sign on passengers, improving the value of the subway sign utility analysis, and facilitating the efficient exit of passengers.

[0082] In a specific embodiment of the present invention, the utility evaluation coefficient of the subway guide secondary sign is specifically analyzed by the following method: the actual exit of each volunteer of each age stage in the secondary sign test group is compared with the test exit. If the actual exit of a volunteer of a certain age stage in the secondary sign test group is the same as the test exit, the volunteer is recorded as a successful volunteer. Otherwise, the volunteer is recorded as a failed volunteer. The successful volunteers and failed volunteers of each age stage in the secondary sign test group are obtained, and the execution efficiency evaluation coefficient of the secondary sign test group is evaluated in combination with the actual exit of each volunteer of each age stage in the secondary sign test group and the test duration.

[0083] Based on the observation time of each sub-logo by each volunteer of each age group in the sub-logo test group, the display clarity of the sub-logo is analyzed.

[0084] Calculate the utility evaluation coefficient of subway guide secondary signs Wherein χ1 and χ2 represent the proportion factors corresponding to the predefined execution efficiency and display clarity, respectively.

[0085] It should be noted that the value ranges of χ1 and χ2 are both 0 to 1.

[0086] In a specific embodiment of the present invention, the execution efficiency evaluation coefficient of the sub-identification test group is evaluated by a specific analysis method: extracting the appropriate test time interval for each age stage in the sub-identification test from the database, and selecting the middle value of the appropriate test time interval for each age stage in the sub-identification test as the reference test time.

[0087] Based on the test time of each volunteer at each age stage of the sub-identification test group, the test time of each successful volunteer at each age stage of the sub-identification test group is obtained, and it is divided by the reference test time to obtain the execution efficiency risk value of each successful volunteer at each age stage of the sub-identification test group, and the average is processed to obtain the average execution efficiency risk value SC of each age stage of the sub-identification test group i .

[0088] Count the number of successful volunteers and failed volunteers of each age group in the sub-identification test group, and evaluate the execution efficiency evaluation coefficient of the sub-identification test group

[0089] In a specific embodiment of the present invention, the display clarity of the sub-identification is specifically analyzed by the following method: obtaining the associated exits corresponding to each sub-identification from the cloud database, screening the sub-identifications corresponding to the test exits of each volunteer at each age stage in the sub-identification test group based on the test exits of each volunteer at each age stage in the sub-identification test group, and recording them as associated sub-identifications of each volunteer at each age stage in the sub-identification test group, and recording the remaining sub-identifications as ordinary sub-identifications.

[0090] Based on the observation time of each volunteer of each age stage in each sub-identification test group, extract the observation time TI of each associated sub-identification of each volunteer of each age stage in the sub-identification test group ijh and the observation time TI of each common sub-mark ijf , where j is the number of each volunteer, j=1,2,...,k, k is any integer greater than 2, h is the number of each associated sub-identification, h=1,2,...,g, g is any integer greater than 2, f is the number of each common sub-identification, f=1,2,...,t, t is any integer greater than 2.

[0091] Calculate the display clarity of the secondary logo Among them, UI and UI′ are the allowed observation time of the associated identification and the allowed observation time of the common identification stored in the database respectively, t is the number of common sub-identifications, g is the number of associated sub-identifications, and k is the number of volunteers.

[0092] The present invention conducts targeted analysis on the utility of the subway guide primary sign and the utility of the secondary sign in S4. utility evaluation, overcomes the defect of the prior art that there is a lack of distinctive analysis of the primary sign and the secondary sign, improves the accuracy of the utility analysis of the subway guide secondary sign, and further provides strong data support for the subsequent improvement of the subway guide secondary sign, ensures the use effect of the secondary sign in the actual operation of the subway station, thereby reducing the incidence of getting lost and hesitation, ensuring the travel experience of citizens, and improving the operation efficiency of the subway.

[0093] S5. Early warning processing: Issue early warning to subway management personnel based on the utility evaluation coefficient of the subway guide primary sign and the utility evaluation coefficient of the subway guide secondary sign.

[0094] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for evaluating the effectiveness of subway guide signs based on vision, characterized in that: include: S1. Subway guide sign test arrangement: Recruit test volunteers of various ages for the guide signs of designated subway stations, and randomly assign them to the primary sign test group and the secondary sign test group, thereby obtaining test volunteers of various ages in the primary sign test group and test volunteers of various ages in the secondary sign test group; S2. Main logo test: arrange the test destination for each test volunteer of each age stage in the main logo test group, and obtain the experimental distance, actual exit and test duration of each test volunteer of each age stage in the main logo test group; S3. Sub-sign test: arrange test exits for volunteers of different age groups in the sub-sign test group, obtain the observation time of volunteers of different age groups at each sub-sign through eye tracking technology, and record the actual exits and test time of volunteers of different age groups in the sub-sign test group; S4. Utility evaluation: The utility evaluation coefficient of the subway guide main sign is evaluated based on the experimental distance, actual exit and test time of each test volunteer of each age group in the main sign test group, and the utility evaluation coefficient of the subway guide secondary sign is evaluated based on the actual exit, test time and observation time of each secondary sign of each volunteer of each age group in the secondary sign test group; S5. Early warning processing: Issue early warning to subway management personnel based on the utility evaluation coefficient of the subway guide primary sign and the utility evaluation coefficient of the subway guide secondary sign.

2. The method for evaluating the effectiveness of subway guide signs based on vision according to claim 1, characterized in that: The specific analysis method for evaluating the utility evaluation coefficient of the subway guide main sign is as follows: Based on the test destinations of the test volunteers of each age stage in the main identification test group, locate the destination exits of the test volunteers of each age stage in the main identification test group from the main identification; Compare the actual exit of each test volunteer of each age stage in the main identification test group with the destination exit. If the actual exit of a test volunteer of a certain age stage in the main identification test group is the same as the destination exit, the test volunteer is recorded as a qualified volunteer. Otherwise, the volunteer is recorded as a risk volunteer. Then, the qualified volunteers and risk volunteers of each age stage in the main identification test group are obtained, and the information transmission accuracy evaluation index ε of the main identification test group is analyzed; Calculate the display clarity η of the main logo based on the experimental distance of each test volunteer at each age stage in the main logo test group; Based on the test time of each test volunteer at each age stage of the main identification test group, the test time of each qualified volunteer is obtained, and then the execution efficiency evaluation coefficient μ of the main identification test group is evaluated; Calculate the utility evaluation coefficient of the main subway sign Where e is a natural constant, and λ1, λ2, and λ3 represent the impact weight factors corresponding to the predefined information transmission accuracy, display clarity, and execution efficiency, respectively.

3. The method for evaluating the effectiveness of subway guide signs based on vision according to claim 2, characterized in that: The specific analysis method of analyzing the information transmission accuracy evaluation index ε of the main identification test group is as follows: The number of qualified volunteers and risk volunteers of each age group in the main identification test group was counted, and the number of qualified volunteers of each age group in the main identification test group was divided by the number of risk volunteers to obtain the information transmission accuracy ratio coefficient A of each age group in the main identification test group. i , where i is the number of each age stage, i = 1, 2, ..., n, and n is any integer greater than 2; Evaluation coefficient of information transmission accuracy ratio fluctuation of the main logo test group Where n is the number of age stages; Obtain the appropriate information transmission accuracy ratio coefficient A of each age group of the main logo test group from the database i ′, evaluate the information transmission accuracy evaluation index of the main logo test group 4. The method for evaluating the effectiveness of subway guide signs based on vision according to claim 2, characterized in that: The specific analysis method for calculating the display clarity η of the main logo is as follows: The number of permanent residents and the flow of people near the designated subway station are obtained from the monitoring platform. The number of permanent residents, the flow of people, the actual longest crowding distance and the actual shortest crowding distance of the main sign of each operating subway station are obtained from the database. The longest crowding distance and the shortest crowding distance of the main sign of the designated subway station are screened, and the middle value is selected as the reference experimental distance of the main sign of the subway station. Based on the experimental distances of each test volunteer at each age stage of the main logo test group, the average test experimental distances of each age stage of the main logo test group are obtained by averaging, and the display clarity influencing factors of each age stage are extracted from the database; The average test experimental distance of each age group of the main logo test group is divided by the reference experimental distance, and multiplied by the display clarity influencing factor to obtain the display clarity σ of each age group of the main logo test group. i ; Calculate the display clarity of the main logo Among them, γ1 and γ2 represent the proportion factors corresponding to the average display clarity and display clarity fluctuation, respectively.

5. The method for evaluating the effectiveness of subway guide signs based on vision according to claim 2, characterized in that: The specific evaluation method of the evaluation main identification test group execution efficiency evaluation coefficient μ is as follows: Obtaining the test time of each qualified volunteer based on the test time of each test volunteer at each age stage of the main identification test group; The test time of each qualified volunteer at each age stage in the main identification test group is averaged to obtain the average test time of each age stage in the main identification test group, and compared with the appropriate test time interval of each age stage in the main identification test stored in the database. If the average test time of a certain age stage in the main identification test group is within the appropriate test time interval, then the age stage is recorded as the appropriate age stage, and the execution efficiency risk value of the age stage is recorded as C. Otherwise, the following analysis is performed: Record the age stage as the risk age stage, obtain the excess test duration of the age stage, and then divide the excess test duration of the age stage by the appropriate test duration to obtain the execution efficiency risk value of the age stage; The execution efficiency risk value C of each appropriate age stage of the main identification test group is obtained by statistics m and the execution efficiency risk value C′ at each risk age stage p , where m is the number of each appropriate age stage, m = 1, 2, ..., l, l is any integer greater than 2, p is the number of each risk age stage, p = 1, 2, ..., q, q is any integer greater than 2; Count the number of suitable age groups D and the number of risk age groups D′ in the main identification test group, and then evaluate the execution efficiency evaluation coefficient of the main identification test group Where l is the number of suitable age groups and q is the number of risky age groups.

6. The method for evaluating the effectiveness of subway guide signs based on vision according to claim 1, characterized in that: The specific analysis method of the utility evaluation coefficient of the subway guide secondary sign is as follows: The actual exit of each volunteer at each age stage of the sub-identification test group is compared with the test exit. If the actual exit of a volunteer at a certain age stage of the sub-identification test group is the same as the test exit, the volunteer is recorded as a successful volunteer. Otherwise, the volunteer is recorded as a failed volunteer. The successful volunteers and failed volunteers at each age stage of the sub-identification test group are obtained, and the execution efficiency evaluation coefficient of the sub-identification test group is evaluated in combination with the actual exit of each volunteer at each age stage of the sub-identification test group and the test duration. Based on the observation time of each volunteer of each age group in the sub-logo test group at each sub-logo, the display clarity of the sub-logo is analyzed; Calculate the utility evaluation coefficient of subway guide secondary signs Wherein χ1 and χ2 represent the proportion factors corresponding to the predefined execution efficiency and display clarity, respectively.

7. The method for evaluating the effectiveness of subway guide signs based on vision according to claim 6, characterized in that: The specific analysis method of the execution efficiency evaluation coefficient of the evaluation times identification test group is as follows: Extracting the appropriate test duration intervals for each age stage in the sub-mark test from the database, and selecting the middle value of the appropriate test duration intervals for each age stage in the sub-mark test as the reference test duration; Based on the test time of each volunteer at each age stage of the sub-identification test group, the test time of each successful volunteer at each age stage of the sub-identification test group is obtained, and it is divided by the reference test time to obtain the execution efficiency risk value of each successful volunteer at each age stage of the sub-identification test group, and the average is processed to obtain the average execution efficiency risk value SC of each age stage of the sub-identification test group i ; Count the number of successful volunteers and failed volunteers of each age group in the sub-identification test group, and evaluate the execution efficiency evaluation coefficient of the sub-identification test group 8. The method for evaluating the effectiveness of subway guide signs based on vision according to claim 6, characterized in that: The display clarity of the secondary logo is analyzed in the following specific way: Obtain the associated exits corresponding to each sub-identification from the cloud database, and based on the test exits of each volunteer at each age stage of the sub-identification test group, screen the sub-identifications corresponding to the test exits of each volunteer at each age stage of the sub-identification test group, and record them as the associated sub-identifications of each volunteer at each age stage of the sub-identification test group, and record the remaining sub-identifications as ordinary sub-identifications; Based on the observation time of each volunteer of each age stage in each sub-identification test group, extract the observation time TI of each associated sub-identification of each volunteer of each age stage in the sub-identification test group ijh and the observation time TI of each common sub-mark ijf , where j is the number of each volunteer, j = 1, 2, ..., k, k is any integer greater than 2, h is the number of each associated sub-identification, h = 1, 2, ..., g, g is any integer greater than 2, f is the number of each common sub-identification, f = 1, 2, ..., t, t is any integer greater than 2; Calculate the display clarity of the secondary logo Among them, UI and UI′ are the allowed observation time of the associated identification and the allowed observation time of the common identification stored in the database respectively, t is the number of common sub-identifications, g is the number of associated sub-identifications, and k is the number of volunteers.

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