A vision-based method for evaluating the effectiveness of subway directional signs

Abstract

The present invention discloses a method for evaluating the effectiveness of subway guide signs based on vision, and relates to the technical field of subway guide signs. The present invention comprises: S1. subway guide sign test arrangement, S2. primary sign test, S3. secondary sign test, S4. effectiveness evaluation, and S5. early warning processing. The present invention improves the accuracy of effectiveness analysis of subway guide secondary signs, thereby providing strong data support for subsequent improvement of subway guide secondary signs, ensuring the effectiveness of the secondary signs in the actual operation of subway stations, thereby reducing the incidence of getting lost and hesitating, ensuring the travel experience of citizens, and improving the operation efficiency of the subway. The present invention evaluates the effectiveness of the primary signs based on the accuracy of information transmission, display clarity, and execution efficiency of the primary signs. The data source is relatively rich, the evaluation results are relatively comprehensive, the effective effect of subway signs on passengers is guaranteed, and the value of subway sign effectiveness analysis is improved.

Description

Technical Field

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

[0002] With the acceleration of urbanization, subways, as the backbone of public transportation in large cities, carry an ever-increasing passenger flow. Clear, accurate, and user-friendly directional signs are crucial for improving passenger 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 incidence of getting lost and hesitation, thereby improving the overall travel experience. Second, for subway operators, a good sign system can reduce the number of times passengers consult staff, lowering labor costs while also reducing safety hazards and potential liability risks. Therefore, evaluating the effectiveness of subway directional signs is extremely important.

[0003] The existing technology for evaluating the effectiveness of subway directional signs can meet current requirements to a certain extent, but it still has certain defects, which are specifically reflected in the following aspects:

[0004] 1. When testing the effectiveness of subway directional signs, existing technologies lack a differentiated analysis of primary and secondary signs. Primary and secondary signs have a certain correlation, and the effectiveness of primary signs affects the effectiveness of secondary signs. The existing technologies' neglect of this aspect leads to inaccurate effectiveness analysis of subway directional secondary signs, making it difficult to provide strong data support for subsequent improvements to subway directional secondary signs. This results 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 lowering the operating efficiency of the subway.

[0005] 2. Existing technologies often lack objectivity and systematicity in evaluating the effectiveness of subway main signs. On the one hand, they often rely on individual subjective perceptions or single questionnaires, which fail to fully reflect the underlying issues. On the other hand, passengers of different ages have varying physical conditions, leading to varying needs for clear display of subway main signs and the time it takes to find exits through them. Existing technologies neglect this aspect, making it difficult to ensure the effective use of subway signs for passengers, reducing their value and hindering efficient exit procedures for 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 the main sign test group and the 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 group in the main logo test group, and obtain the experimental distance, actual exit and test duration of each test volunteer of each age group in the main logo test group.

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

[0010] S4. Utility evaluation: The utility evaluation coefficient of the subway guide main signs 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 signs 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.

[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 group in the main sign test group, the destination exit of each test volunteer of each age group in the main sign test group is located from the main sign.

[0013] The actual exit of each test volunteer of each age group in the main identification test group is compared with the destination exit. If the actual exit of a test volunteer of a certain age group 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 group 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] The display clarity η of the main logo is calculated based on the experimental distance of each test volunteer of each age group in the main logo test group.

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

[0016] Calculate the effectiveness evaluation coefficient of the main subway guide signs Where e is a natural constant, and λ1, λ2, and λ3 represent the influence weight factors corresponding to the predefined information communication accuracy, display clarity, and execution efficiency, respectively.

[0017] Furthermore, the information transmission accuracy evaluation index ε of the main identification test group is analyzed. The specific analysis method is as follows: the number of qualified volunteers and the number of risk volunteers of each age group in the main identification test group are counted, and the number of qualified volunteers of each age group in the main identification test group is 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.

[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 for each age group of the main logo test group from the database i ′, the information transmission accuracy evaluation index of the main identification test group

[0020] Furthermore, 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, 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.

[0021] Based on the experimental distances of each test volunteer at each age stage in the main logo test group, the experimental distances are averaged to obtain the average test experimental distances of each age stage in the main logo test group, 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 Where 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 evaluation method: the test time of each qualified volunteer is obtained based on the test time of each test volunteer of each age group in the main identification test group.

[0025] The test durations of qualified volunteers at each age stage in the main identification test group are averaged to obtain the average test durations of each age stage in the main identification test group. This average test duration is then compared with the appropriate test duration ranges for each age stage in the main identification test stored in the database. If the average test duration of an age stage in the main identification test group falls within the appropriate test duration range, this age stage is recorded as an appropriate age stage, and the execution efficiency risk value of this age stage is recorded as C. Otherwise, the following analysis is performed:

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

[0027] The execution efficiency risk value C of each appropriate age group 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 as follows: the actual exit of each volunteer of each age group in the secondary sign test group is compared with the test exit. If the actual exit of a volunteer of a certain age group 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 group 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 group in the secondary sign test group and the test time.

[0030] Based on the observation time of each sub-logo by volunteers of different age groups in the sub-logo test group, the display clarity of the sub-logo was analyzed.

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

[0032] Furthermore, the execution efficiency evaluation coefficient of the sub-identification test group is analyzed by the following specific method: extracting the appropriate test duration intervals for each age group in the sub-identification test from the database, and selecting the middle value of the appropriate test duration intervals for each age group in the sub-identification test as the reference test duration.

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

[0036] Based on the observation time of each volunteer of each age group in each sub-identification test group, the observation time TI of each associated sub-identification of each volunteer of each age group in the sub-identification test group is extracted 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-identifier, h = 1, 2, ..., g, g is any integer greater than 2, f is the number of each common sub-identifier, f = 1, 2, ..., t, t is any integer greater than 2.

[0037] Calculate the display clarity of the secondary logo Where UI and UI′ are the allowed observation time of the associated identifier and the allowed observation time of the common identifier stored in the database, t is the number of common sub-identifiers, g is the number of associated sub-identifiers, 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 primary 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 primary 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 a targeted analysis of the utility of the subway guide primary signs and the utility of the secondary signs in S4. Utility evaluation, overcoming the defect of the existing technology that lacks a differentiated analysis of the primary signs and the secondary signs, improving the accuracy of the utility analysis of the subway guide secondary signs, and thus providing strong data support for the subsequent improvement of the subway guide secondary signs, ensuring the effectiveness of the use of the secondary signs 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 effectiveness of subway main signs in S4. Utility Evaluation, and evaluates the effectiveness of the main signs based on the accuracy of information transmission, display clarity, and execution efficiency of the main signs. This overcomes the shortcomings of the existing technology in the lack of objectivity and systematicness in the utility analysis of subway main signs. On the one hand, the data source is relatively rich and the evaluation results are relatively comprehensive. On the other hand, when analyzing the utility of subway main signs, the influence of physical differences among passenger groups of different age groups is taken into account, thereby ensuring the effective effect of subway signs on passengers, improving the value of 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 following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative work.

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

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts 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: recruiting test volunteers of various age groups for the guide signs of designated subway stations, and randomly assigning 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 primary 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 primary 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 group in the main logo test group, and obtain the experimental distance, actual exit and test duration of each test volunteer of each age group in the main logo test group.

[0050] It should be noted that the experimental distance is the shortest distance that 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 time it takes 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-sign test: arrange test exits for volunteers of each age group in the sub-sign test group, obtain the observation time of each volunteer of each age group in each sub-sign through eye tracking technology, and record the actual exits and test time of each volunteer of each age group in the sub-sign 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 length of time each volunteer of each age group in the secondary identification test group uses the subway exit.

[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 subway guide main signs 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 signs 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.

[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: 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 group in the main identification test group is compared with the destination exit. If the actual exit of a test volunteer of a certain age group 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 group 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] The display clarity η of the main logo is calculated based on the experimental distance of each test volunteer of each age group in the main logo test group.

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

[0063] Calculate the effectiveness evaluation coefficient of subway guide main signs Where e is a natural constant, and λ1, λ2, and λ3 represent the influence weight factors corresponding to the predefined information communication 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 main identification test group is analyzed, and the specific analysis method is: counting the number of qualified volunteers and the number of risk volunteers at each age stage in the main identification test group, and dividing the number of qualified volunteers at each age stage in the main identification test group by the number of risk volunteers, to obtain the information transmission accuracy ratio coefficient A of each age stage 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.

[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 for each age group of the main logo test group from the database i ′, the information transmission accuracy evaluation index of the main identification 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 by a specific analysis method as follows: obtaining the number of permanent residents and the flow of people near a designated subway station from a monitoring platform, obtaining the number of permanent residents, the flow of people, the actual longest congestion distance and the actual shortest congestion distance of the main logo of each operating subway station from a 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 congestion distance and the shortest congestion distance of the main identifier of the specified subway station in the above-mentioned screening is: subtract the number of permanent residents and the passenger flow near the subway station from the number of permanent residents and the passenger flow near each operating subway station, and obtain the difference in the number of permanent residents and the passenger flow 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 difference range of the number of permanent residents near the subway station, and the difference in passenger flow between the subway station and the operating subway station is within the predefined allowable difference range of the passenger flow, 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 congestion distance and the actual shortest congestion distance of the main identifier of each matching subway station are obtained, and the average processing is performed on them respectively to obtain the longest congestion distance and the shortest congestion distance of the main identifier 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 experimental distances are averaged to obtain the average test experimental distances of each age stage in the main logo test group, 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 Where 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 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: the test time of each qualified volunteer is obtained based on the test time of each test volunteer of each age group of the main identification test group.

[0077] The test durations of qualified volunteers at each age stage in the main identification test group are averaged to obtain the average test durations of each age stage in the main identification test group. This average test duration is then compared with the appropriate test duration ranges for each age stage in the main identification test stored in the database. If the average test duration of an age stage in the main identification test group falls within the appropriate test duration range, this age stage is recorded as an appropriate age stage, and the execution efficiency risk value of this age stage is recorded as C. Otherwise, the following analysis is performed:

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

[0079] The execution efficiency risk value C of each appropriate age group 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 effectiveness of subway main signs in S4. Utility Evaluation, and evaluates the effectiveness of the main signs based on the accuracy of information transmission, display clarity, and execution efficiency of the main signs. This overcomes the shortcomings of the existing technology in the lack of objectivity and systematicness in the utility analysis of subway main signs. On the one hand, the data source is relatively rich and the evaluation results are relatively comprehensive. On the other hand, when analyzing the utility of subway main signs, the influence of physical differences among passenger groups of different age groups is taken into account, thereby ensuring the effective effect of subway signs on passengers, improving the value of 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: comparing the actual exit of each volunteer of each age group in the secondary sign test group with the test exit; if the actual exit of a volunteer of a certain age group in the secondary sign test group is the same as the test exit, then 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 group 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 group in the secondary sign test group and the test duration.

[0083] Based on the observation time of each sub-logo by volunteers of different age groups in the sub-logo test group, the display clarity of the sub-logo was analyzed.

[0084] Calculate the utility evaluation coefficient of subway guide secondary signs Where 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 group in the sub-identification test from the database, and selecting the middle value of the appropriate test time interval for each age group in the sub-identification test as the reference test time.

[0087] Based on the test time of each volunteer at each age stage in the sub-identification test group, the test time of each successful volunteer at each age stage in the sub-identification test group is obtained, and the test time is divided by the reference test time to obtain the execution efficiency risk value of each successful volunteer at each age stage in the sub-identification test group, and the average value is processed to obtain the average execution efficiency risk value SC of each age stage in 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 specific analysis method for the display clarity of the sub-identification is as follows: 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.

[0090] Based on the observation time of each volunteer of each age group in each sub-identification test group, the observation time TI of each associated sub-identification of each volunteer of each age group in the sub-identification test group is extracted 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-identifier, h = 1, 2, ..., g, g is any integer greater than 2, f is the number of each common sub-identifier, f = 1, 2, ..., t, t is any integer greater than 2.

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

[0092] The present invention conducts a targeted analysis of the utility of the subway guide primary signs and the utility of the secondary signs in S4. Utility evaluation, overcoming the defect of the existing technology that lacks a differentiated analysis of the primary signs and the secondary signs, improving the accuracy of the utility analysis of the subway guide secondary signs, and thus providing strong data support for the subsequent improvement of the subway guide secondary signs, ensuring the effectiveness of the use of the secondary signs 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 described specific embodiments 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 should all fall within the scope of protection of the present invention.

Claims

1. A method for evaluating the effectiveness of subway directional signs based on vision, characterized in that: include: S1. Subway Signage Test Arrangement: Recruit test volunteers of various ages for the signage at designated subway stations and randomly assign them to a primary signage test group and a secondary signage test group. This results in test volunteers of various ages in the primary signage test group and test volunteers of various ages in the secondary signage test group. S2. Primary Sign Test: Assign a test destination to each test volunteer of each age group in the primary sign test group, and obtain the experimental distance, actual exit, and test duration for each test volunteer of each age group in the primary sign test group. The experimental distance is the shortest distance that each test volunteer of each age group in the primary sign test group observed the primary sign. The actual exit is the subway exit that each test volunteer of each age group in the primary sign test group determined based on the test destination via the primary sign. The test duration is the time it takes the test volunteer to determine the subway exit. S3. Secondary Sign Test: A test exit was arranged for each volunteer of each age group in the secondary sign test group. Eye tracking technology was used to obtain the observation time of each volunteer of each age group at each secondary sign. The actual exit and test duration of each volunteer of each age group in the secondary sign test group were recorded. The actual exit was the subway exit of each volunteer of each age group in the secondary sign test group, and the test duration was the time each volunteer of each age group in the secondary sign test group spent using the subway exit. S4. Utility Evaluation: The utility evaluation coefficients of primary subway signage were evaluated based on the experimental distance, actual exit, and test duration of each test volunteer of each age group in the primary signage test group. The utility evaluation coefficients of secondary subway signage were evaluated based on the actual exit, test duration, and observation duration of each secondary sign by each test volunteer of each age group in the secondary signage test group. 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 group in the main identification test group, locating the destination exits of the test volunteers of each age group in the main identification test group from the main identification; Compare the actual exits of each test volunteer of each age group in the main identification test group with the target exits. If the actual exit of a test volunteer of a certain age group in the main identification test group is the same as the target exit, then record the test volunteer as a qualified volunteer. Otherwise, record the volunteer as a risk volunteer. Then, obtain the qualified volunteers and risk volunteers of each age group in the main identification test group, and analyze the information communication accuracy evaluation index ε of the main identification test group; Calculate the display clarity η of the main logo based on the experimental distance of each test volunteer of each age group in the main logo test group; Based on the test time of each test volunteer of each age group in 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 effectiveness evaluation coefficient of subway guide main signs Where e is a natural constant, λ1, λ2, and λ3 represent the influence weight factors corresponding to the predefined information transmission accuracy, display clarity, and execution efficiency, respectively; The specific analysis method of analyzing the information transmission accuracy evaluation index ε of the main identification test group is as follows: Count the number of qualified volunteers and risk volunteers at each age stage in the main identification test group, and divide the number of qualified volunteers at each age stage in the main identification test group by the number of risk volunteers to obtain the information transmission accuracy ratio coefficient A at each age stage 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 for each age group of the main logo test group from the database i ′, the information transmission accuracy evaluation index of the main identification test group The specific analysis method for calculating the display clarity η of the main logo is as follows: Obtain the number of permanent residents and passenger flow near the designated subway station from the monitoring platform. Obtain the number of permanent residents, passenger flow, and the actual longest and shortest congestion distances of the main sign of each operating subway station from the database. Filter the longest and shortest congestion distances of the main sign of the designated subway station, and select the middle value 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 in the main logo test group, the experimental distances are averaged to obtain the average experimental distances of each age stage in the main logo test group, 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 Where γ1 and γ2 represent the proportion factors corresponding to the average display clarity and display clarity fluctuation respectively; The specific evaluation method of the execution efficiency evaluation coefficient μ of the evaluation main identification test group is: Obtaining the test duration of each qualified volunteer based on the test duration of each test volunteer at each age stage in the main identification test group; The test durations of qualified volunteers at each age stage in the main identification test group are averaged to obtain the average test durations of each age stage in the main identification test group. This average test duration is then compared with the appropriate test duration ranges for each age stage in the main identification test stored in the database. If the average test duration of an age stage in the main identification test group falls within the appropriate test duration range, this age stage is recorded as an appropriate age stage, and the execution efficiency risk value of this age stage is recorded as C. Otherwise, the following analysis is performed: Record this age group as the risk age group, obtain the excess test duration for this age group, and then divide the excess test duration for this age group by the appropriate test duration to obtain the execution efficiency risk value for this age group; The execution efficiency risk value C of each appropriate age group 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 stages, and q is the number of risky age stages; 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 directional 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: Compare the actual exits of each volunteer at each age stage of the secondary identification test group with the test exits. If the actual exit of a volunteer at a certain age stage of the secondary identification test group is the same as the test exit, then 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 secondary identification test group are obtained. Combined with the actual exits of each volunteer at each age stage of the secondary identification test group and the test duration, the execution efficiency evaluation coefficient of the secondary identification test group is evaluated. 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 group in the sub-identification test from the database, and selecting the middle value of the appropriate test duration intervals for each age group in the sub-identification test as the reference test duration; Based on the test time of each volunteer at each age stage in the sub-identification test group, the test time of each successful volunteer at each age stage in the sub-identification test group is obtained, and the test time is divided by the reference test time to obtain the execution efficiency risk value of each successful volunteer at each age stage in the sub-identification test group, and the average value is processed to obtain the average execution efficiency risk value SC of each age stage in 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 Analyze the display clarity of the sub-labels based on the observation time of each sub-label by each volunteer of each age group in the sub-label test group; The specific analysis method for the display clarity of the secondary logo is as follows: 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 in the sub-identification test group, screen the sub-identifications corresponding to the test exits of each volunteer at each age stage in the sub-identification test group, and record them as the associated sub-identifications of each volunteer at each age stage in 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 group in each sub-identification test group, the observation time TI of each associated sub-identification of each volunteer of each age group in the sub-identification test group is extracted 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-identifier, h = 1, 2, ..., g, g is any integer greater than 2, f is the number of each common sub-identifier, f = 1, 2, ..., t, t is any integer greater than 2; Calculate the display clarity of the secondary logo Where UI and UI′ are the allowed observation time of the associated identifier and the allowed observation time of the common identifier stored in the database, t is the number of common sub-identifiers, g is the number of associated sub-identifiers, and k is the number of volunteers; Calculate the utility evaluation coefficient of the subway guide secondary sign θ = ln (ζ * χ1 + ξ * χ2), where χ1 and χ2 represent the proportion factors corresponding to the predefined execution efficiency and display clarity, respectively.

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