Method and system for detecting reverse identification of ETC, storage medium and control device

Abstract

The application discloses an ETC reverse identification detection method and system, a storage medium and a control device, the detection method comprises the following steps: obtaining corresponding first identification data sets and / or second identification data sets from related roadside devices respectively; and analyzing each first identification data set and / or second identification data set to determine which first roadside device reversely identifies the identity identification and / or which second roadside device reversely identifies the identity identification. The application can accurately determine which roadside device reversely identifies the on-board unit without the need for testers to drive a car and the dependence on other monitoring equipment, has the advantages of accurate detection, high detection efficiency and low detection cost, and helps to promote the construction of city intersection ETC equipment deployment engineering.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent transportation, and in particular to an ETC reverse identification detection method and system, a storage medium and a control device. BACKGROUND

[0002] As a way of collecting vehicle information on urban roads, ETC is usually deployed at intersections in cities. Due to the differences in the deployment mode (angle, power, beam, etc.) of the ETC roadside device and the road environment, when a motor vehicle travels along the current road section, the on-board unit (OBU) in the vehicle may be identified by the roadside device (RSU) deployed on the reverse road section. This situation is a misidentification, also known as reverse identification, which will affect the accuracy of vehicle information collection. In related technologies, the determination of reverse identification is mainly through the way of test personnel running the vehicle, using a specific identity of the on-board unit, running along the opposite road section to see if there is a reverse identification in the current lane. This testing method not only has the defects of large consumption of human resources and high testing cost, but also is difficult to form continuous time detection data output, which increases the difficulty of construction of the ETC device deployment project at the urban intersection. At present, there is a lack of a low-cost and efficient reverse identification detection scheme in the market. SUMMARY

[0003] The technical problem to be solved by the present application is to provide an ETC reverse identification detection method and system, a storage medium and a control device.

[0004] The technical solution adopted by the present application to solve the technical problem is: constructing an ETC reverse identification detection method for determining the on-board unit of the reverse identification of a plurality of roadside devices, wherein the plurality of roadside devices includes at least two first roadside devices arranged at the entrance section of the intersection in different directions, and / or at least two second roadside devices arranged at the exit section of the intersection in different directions, comprising:

[0005] S10, respectively, from each first roadside device, obtain a corresponding first identification data set, and / or respectively, from each second roadside device, obtain a corresponding second identification data set; the first identification data set includes the identity of the plurality of on-board units identified by the corresponding first roadside device and the identification time; the second identification data set includes the identity of the plurality of on-board units identified by the corresponding second roadside device and the identification time;

[0006] S20, for each first identification data set: respectively judge whether each identity in the first identification data set appears in all other first identification data sets except the first identification data set within a first preset time, and for the identity appearing in the other first identification data sets, judge whether the identity is reversely identified by the first roadside device corresponding to the first identification data set according to the identification time of the identity in each first identification data set; and / or, for each second identification data set: respectively judge whether each identity in the second identification data set appears in all other second identification data sets except the second identification data set within a first preset time, and for the identity appearing in the other second identification data sets, judge whether the identity is reversely identified by the second roadside device corresponding to the second identification data set according to the identification time of the identity in each second identification data set.

[0007] Preferably, in the S20,

[0008] The judgment of whether the identity is reversely identified by the first roadside device corresponding to the first identification data set according to the identification time of the identity in each first identification data set includes: subtracting the identification time of the identity in the other first identification data sets from the identification time of the identity in the first identification data set to obtain at least one first difference value, and if there is at least one first difference value greater than zero and less than the first preset time, updating the reverse identification number of the first roadside device corresponding to the first identification data set;

[0009] The judgment of whether the identity is reversely identified by the second roadside device corresponding to the second identification data set according to the identification time of the identity in each second identification data set includes:

[0010] Subtracting the identification time of the identity in the second identification data set from the identification time of the identity in the other second identification data sets to obtain at least one second difference value, and if there is at least one second difference value greater than zero and less than the first preset time, updating the reverse identification number of the second roadside device corresponding to the second identification data set.

[0011] Preferably, in the S10, the steps of respectively acquiring the corresponding first identification data set from each first roadside device and / or respectively acquiring the corresponding second identification data set from each second roadside device include: respectively acquiring the corresponding first identification data set within a first set time period from each first roadside device and / or respectively acquiring the corresponding second identification data set within a second set time period from each second roadside device.

[0012] In the S20,

[0013] The updating of the reverse identification number of the first roadside device corresponding to the first identification data set comprises updating the reverse identification number of the first roadside device corresponding to the first identification data set within a detection time period.

[0014] The updating of the reverse identification number of the second roadside device corresponding to the second identification data set comprises updating the reverse identification number of the second roadside device corresponding to the second identification data set within a detection time period.

[0015] Preferably, in the S10,

[0016] The end time of the first set time period is set to be equal to the end time of the detection time period, and the start time of the first set time period is set to be equal to the start time of the detection time period minus the first preset time.

[0017] The start time of the second set time period is set to be equal to the start time of the detection time period, and the end time of the second set time period is set to be equal to the end time of the detection time period plus the first preset time.

[0018] Preferably, the first preset time Tn is set in the range of 30 seconds to 60 seconds.

[0019] Preferably, between the S10 and the S20, further comprising:

[0020] S11, for each of the first identification data sets, taking the time when the first roadside device corresponding to the first identification data set first identifies the corresponding identity as the identification time of the corresponding identity, and removing the repeatedly appearing identities in the first identification data set; and / or, for each of the second identification data sets, taking the time when the second roadside device corresponding to the second identification data set first identifies the corresponding identity as the identification time of the corresponding identity, and removing the repeatedly appearing identities in the second identification data set.

[0021] Preferably, the ETC reverse identification detection method further comprises:

[0022] S30, for each of the first roadside devices, calculating the reverse identification rate of the first roadside device within the detection time period according to the reverse identification number and the total number of identities of the first roadside device within the detection time period; and / or, for each of the second roadside devices, calculating the reverse identification rate of the second roadside device within the detection time period according to the reverse identification number and the total number of identities of the second roadside device within the detection time period.

[0023] The application also constructs an ETC reverse identification detection system, comprising:

[0024] a plurality of roadside devices arranged at each intersection of the intersection; and

[0025] a processing device, which implements the steps of the above-mentioned ETC reverse identification detection method when executing the stored computer program.

[0026] The application also constructs a computer storage medium storing a computer program, which implements the steps of the above-mentioned ETC reverse identification detection method when executed by a processor.

[0027] The application also constructs a control device comprising a processor and a memory storing a computer program, which implements the steps of the above-mentioned ETC reverse identification detection method when the processor executes the computer program.

[0028] The application has the following advantages: providing an ETC reverse identification detection method; the detection method ingeniously uses the first identification data set and / or the second identification data set obtained by the first roadside device and / or the second roadside device installed at each intersection section of the intersection, and analyzes each first identification data set and / or second identification data set to determine which first roadside device and / or which second roadside device reversely identifies the identity identification, without the need for testers to run cars and rely on other monitoring equipment, and the on-board unit can be accurately determined to be reversely identified by which roadside device, having the advantages of accurate detection, high detection efficiency, low detection cost, etc., and helping to promote the construction of urban intersection ETC device deployment project. BRIEF DESCRIPTION OF DRAWINGS

[0029] The application will be further described below with reference to the drawings and embodiments, wherein:

[0030] Figure 1 is a flowchart of the ETC reverse identification detection method embodiment one of the application;

[0031] Figure 2 is a flowchart of the ETC reverse identification detection method embodiment two of the application;

[0032] Figure 3 is a roadside device arrangement scene diagram of a cross-shaped intersection in some embodiments of the application. DETAILED DESCRIPTION

[0033] In order to have a clearer understanding of the technical features, objects and effects of the application, the specific embodiments of the application will be described in detail with reference to the drawings.

[0034] It should be noted that the flowcharts shown in the drawings are only illustrative, and do not necessarily include all contents and operations / steps, nor are they necessarily executed in the order described. For example, some operations / steps can be further decomposed, and some operations / steps can be combined or partially combined, so the actual execution order can be changed according to the actual situation.

[0035] The block diagrams shown in the drawings are only functional entities, and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0036] Figure 1 is a flowchart of the first embodiment of the ETC reverse identification detection method of the present application. The detection method of this embodiment is used in a processor or microprocessor to determine a plurality of road-side equipment reverse identification vehicle-mounted units, wherein the plurality of road-side equipment includes at least two first road-side equipment set at the entrance section of the intersection in different directions, and / or at least two second road-side equipment set at the exit section of the intersection in different directions, as shown in Figure 1 The detection method includes steps S10 and S20.

[0037] Step S10 includes: obtaining a corresponding first identification data set from each first road-side equipment, and / or obtaining a corresponding second identification data set from each second road-side equipment; the first identification data set includes the identity of the plurality of vehicle-mounted units identified by the corresponding first road-side equipment and the identification time; the second identification data set includes the identity of the plurality of vehicle-mounted units identified by the corresponding second road-side equipment and the identification time.

[0038] It should be noted that the intersection includes but is not limited to a T-shaped, Y-shaped or cross-shaped intersection, and the roads in different directions in the intersection can be two-way lanes or one-way lanes, so the actual number of first identification data sets and second identification data sets obtained in this step is determined according to the structure of the intersection and the actual installation of the road-side equipment.

[0039] S20, for each first identification data set, respectively judging whether each identity in the first identification data set appears in other first identification data sets except the first identification data set within a first preset time, and for the identity appearing in other first identification data sets, judging whether the identity is reversely identified by the first roadside device corresponding to the first identification data set according to the identification time of the identity in each first identification data set; and / or, for each second identification data set, respectively judging whether each identity in the second identification data set appears in other second identification data sets except the second identification data set within a first preset time, and for the identity appearing in other second identification data sets, judging whether the identity is reversely identified by the second roadside device corresponding to the second identification data set according to the identification time of the identity in each second identification data set.

[0040] In this step, the first preset time can be determined according to the actual road structure of the intersection, specifically, the first preset time is estimated according to the minimum time required for the vehicle to return to the intersection by turning around or other road segments after driving away from the intersection, further, the first preset time can be set in the range of 30 seconds to 60 seconds.

[0041] It is easy to understand that if all the first roadside device identification and the second roadside device identification do not occur reverse identification, in theory, the vehicle-mounted unit will not be identified by different first roadside devices within the first preset time (that is, the identity appears in multiple first identification data sets), and will not be identified by different second roadside devices (that is, the identity appears in multiple second identification data sets). Therefore, when the identity in a certain first identification data set also appears in other first identification data sets within the first preset time, it can be determined that the identity is reversely identified, and it can be determined according to the identification time of the identity in each first identification data set that it is reversely identified by which first roadside device. Similarly, when the identity in a certain second identification data set also appears in other second identification data sets, it can be determined that the identity has been reversely identified, and it can also be determined according to the identification time of the identity in each second identification data set that it is reversely identified by which second roadside device.

[0042] In this embodiment, the first roadside device and / or the second roadside device installed at each intersection section of the intersection are ingeniously utilized to obtain the first identification data set and / or the second identification data set respectively, and by analyzing each first identification data set and / or second identification data set, it is determined which first roadside device reversely identifies the identity and / or which second roadside device reversely identifies the identity, without the need for testers to drive and rely on other monitoring equipment, the on-board unit can be accurately determined to be reversely identified by which roadside device, which has the advantages of accurate detection, high detection efficiency, low detection cost, etc., and helps to promote the construction of urban intersection ETC device deployment project.

[0043] In some embodiments, as shown in Figure 2 In some embodiments, as shown in

[0044] In this embodiment, it should be noted that, due to the different installation conditions of each first roadside device at the intersection and the influence of the actual road conditions, the on-board unit may be identified by multiple first roadside devices during vehicle driving. Taking the intersection shown in Figure 3 For example, assuming a vehicle enters from the east entrance section and exits from the west exit section, when the vehicle passes through the north entrance section, it is assumed to be identified by the first roadside device of the north entrance (assuming that the first roadside device of the entrance section is very close to the center of the intersection), and when it exits the west exit section, it is identified by the first roadside device of the west entrance, that is, the identity is identified by three first roadside devices, and the order of the time when the identity is identified by the first roadside device is gradually increasing from east to west, that is, Twin>Tnin>Tein (Twin, Tnin, Tein correspond to the identification time of the identity identified by the first roadside device on the west, north and east respectively), it is easy to understand that when the first identification data set identified by the first roadside device on the west section and the north section is analyzed respectively, it can be determined that the first roadside device on the west section and the north section both reversely identify the identity, while the first roadside device on the east section does not reversely identify the identity. In addition, Figure 3 In the figure, reference numeral 1 corresponds to the first roadside device, and reference numeral 2 corresponds to the second roadside device.

[0045] In an optional embodiment, step S20, determining whether the identity identifier is reverse-identified by the second roadside device corresponding to the second identification dataset based on the identification time of the identity identifier in each second identification dataset, includes: subtracting the identification time of the identity identifier in the second identification dataset from the identification time of the identity identifier in other second identification datasets to obtain at least one second difference value; if there is at least one second difference value that is greater than zero and less than a first preset time, then updating the number of reverse identifiers of the second roadside device corresponding to the second identification dataset.

[0046] In this embodiment, due to the different installation arrangements of the various second roadside devices at the intersection and the influence of actual road conditions, the on-board unit may be identified by multiple second roadside devices during vehicle operation. Figure 3 Taking the intersection shown as an example, suppose a vehicle enters from the west entrance section and exits from the east exit section. When the vehicle passes the south exit section, it is assumed to be identified by the second roadside device at the south exit. When it exits the east exit section, it is identified by the second roadside device at the west entrance. That is, the identity identifier is identified by three second roadside devices. The time sequence of identification by the second roadside devices gradually increases from west to east, i.e., Teout > Tsout > Twout (Teout, Tsout, and Twout correspond to the identification time of the identity identifier by the second roadside devices on the east, south, and west sides, respectively). It is easy to understand that when analyzing the second identification datasets identified by the second roadside devices on the south and east sections respectively, it can be determined that the second roadside devices on the south and east sections have all identified the identity identifier in reverse, while the second roadside device on the west section has not identified the identity identifier in reverse.

[0047] In some embodiments, such as Figure 2 As shown, the steps in step S10 of obtaining the corresponding first identification dataset from each of the first roadside devices and / or obtaining the corresponding second identification dataset from each of the second roadside devices may include: obtaining the corresponding first identification dataset within a first set time period from each of the first roadside devices and / or obtaining the corresponding second identification dataset within a first set time period from each of the second roadside devices.

[0048] Furthermore, the step of updating the reverse identifier count of the first roadside device corresponding to the first identification dataset in step S20 may include: updating the reverse identifier count of the first roadside device corresponding to the first identification dataset during the detection time period;

[0049] Furthermore, the step of updating the reverse identifier count of the second roadside device corresponding to the second identification dataset in step S20 may include: updating the reverse identifier count of the second roadside device corresponding to the second identification dataset during the detection time period.

[0050] It should be noted that road traffic volume varies with the time of day; for example, traffic volume during rush hour is generally higher than that during late night. Compared to Example 1, the first identification dataset in this example is obtained based on a first set time period, while the second identification dataset is obtained based on a second set time period. Based on this, the number of reverse identifiers for each first roadside device and each second roadside device during the detection time period is calculated. This is equivalent to statistically analyzing the number of reverse identifiers for roadside devices in different time periods, which more intuitively reflects the changing patterns of the number of reverse identifiers for each roadside device in different detection time periods.

[0051] Furthermore, in an optional embodiment, the end time and start time of the first and second preset time periods can be set in the following manner: the end time of the first preset time period is set to be equal to the end time of the detection time period, and the start time of the first preset time period is set to be equal to the start time of the detection time period minus the first preset time; the start time of the second preset time period is set to be equal to the start time of the detection time period, and the end time of the second preset time period is set to be equal to the end time of the detection time period plus the first preset time.

[0052] Due to road conditions (such as traffic jams, traffic lights, etc.), the vehicle-mounted unit may be repeatedly identified by the first or second roadside equipment within a short period of time, resulting in duplicate identity identifiers being stored in the first or second identification dataset. To solve this problem, in some embodiments, such as... Figure 2 As shown, the following may also be included between step S10 and step S20:

[0053] S11. For each first identification dataset, the following steps are performed: the time when the first roadside device corresponding to the first identification dataset first identifies the corresponding identity identifier is taken as the identification time of the corresponding identity identifier, and duplicate identity identifiers in the first identification dataset are removed; and / or, for each second identification dataset, the following steps are performed: the time when the second roadside device corresponding to the second identification dataset first identifies the corresponding identity identifier is taken as the identification time of the corresponding identity identifier, and duplicate identity identifiers in the second identification dataset are removed.

[0054] In this embodiment, by removing the repeatedly appearing identity in each of the first and second identification data sets, and taking the time when the corresponding identity is first identified by the corresponding roadside device as the identification time of the corresponding identity, the influence of the repeatedly appearing identity on the calculation accuracy of the reverse identification number can be avoided.

[0055] If the span of the detection time period is large, the vehicle can return to the section it has previously traveled through by turning around or other routes, so the on-board unit can be identified by the same roadside device within a certain time, which is a normal identification behavior, and in this case, even if the identity appears repeatedly, it should be considered as an independent identification behavior, otherwise it will affect the calculation accuracy of the reverse identification number, for example, referring to Figure 3 , assuming that the vehicle first enters from the west entrance, and its identity A is normally identified by the first roadside device of the west entrance, after a certain time, the vehicle turns around to return to the intersection and exits from the west exit, and this time it is reversely identified by the first roadside device of the west entrance; since the identity A of the vehicle is identified earlier when it enters from the west entrance, although the vehicle is reversely identified by the first roadside device of the west entrance when it exits from the west exit, under the effect of the deduplication processing, the data of the vehicle being reversely identified by the first roadside device of the west entrance when it exits from the west exit will be removed, resulting in missing the calculation of the reverse identification number. To solve this problem, in some embodiments, step S11 can include:

[0056] The detection time period is divided into a plurality of to-be-deduplicated time periods, and then, for each of the first identification data sets, the time when the corresponding identity is first identified by the first roadside device corresponding to the first identification data set within the corresponding to-be-deduplicated time period is taken as the identification time of the corresponding identity, and the identities repeatedly appearing in the first identification data set within each to-be-deduplicated time period are removed respectively; and / or, for each of the second identification data sets, the time when the corresponding identity is first identified by the second roadside device corresponding to the second identification data set within the corresponding to-be-deduplicated time period is taken as the identification time of the corresponding identity, and the identities repeatedly appearing in the second identification data set within each to-be-deduplicated time period are removed respectively.

[0057] In this embodiment, by dividing the detection time period into a plurality of to-be-deduplicated time periods, and performing deduplication processing on the identities in each of the first and / or second identification data sets based on different to-be-deduplicated time periods, the missing calculation of the reverse identification number can be avoided, thereby improving the accuracy of the reverse identification.

[0058] In some embodiments, as Figure 2As shown, the detection method further comprises: S30, for each first roadside device: calculating a reverse identification rate of the first roadside device in the detection time period according to the number of reverse identifications and the total number of identity identifications of the first roadside device in the detection time period; and / or, for each second roadside device: calculating a reverse identification rate of the second roadside device in the detection time period according to the number of reverse identifications and the total number of identity identifications of the second roadside device in the detection time period.

[0059] Specifically, the calculation formula of the reverse identification rate can be: ((Count_OBU_reverse)⁄(Count_OBU))*100%, wherein Count_OBU_reverse is the number of reverse identifications identified by the related roadside device in the corresponding detection time period, and Count_OBU is the total number of identity identifications identified by the corresponding roadside device in the corresponding detection time period. In this embodiment, by counting the reverse identification rate of the roadside device in the detection time period, whether the lane exists reverse identification can be intuitively represented, and data support is provided for city intersection ETC device deployment engineering.

[0060] The present application also provides an ETC reverse identification detection system, comprising:

[0061] a plurality of roadside devices arranged on each intersection of the intersections; and

[0062] The processing device realizes the steps of the ETC reverse identification detection method provided by the embodiments of the present application when executing the stored computer program.

[0063] The present application also provides a computer storage medium storing a computer program, which realizes the steps of the ETC reverse identification detection method provided by the embodiments of the present application when executed by a processor.

[0064] The present application also provides a control device comprising a processor and a memory storing a computer program, the processor realizing the steps of the ETC reverse identification detection method provided by the embodiments of the present application when executing the computer program.

[0065] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same and similar parts of each embodiment can be referred to each other. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the related parts can be referred to the method part.

[0066] Those skilled in the art will further appreciate that the units and algorithm steps of the examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or any combination thereof. To clearly illustrate this interchangeability of hardware and software, various examples have been described generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans can implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

[0067] The steps of a method or algorithm described in connection with the embodiments disclosed herein can be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module can reside in RAM, flash memory, ROM, electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0068] It can be understood that the above embodiments only express the preferred embodiments of the present application, and the description is more specific and detailed, but it should not be understood as a limitation to the scope of the patent of the present application. It should be noted that for those skilled in the art, the above technical features can be freely combined without departing from the concept of the present application, and a number of modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, any equivalent transformation and modification within the scope of the claims of the present application shall belong to the scope of the claims of the present application.

Claims

1. A method of ETC back identification detection for determining a plurality of road side equipment back identified on board units, wherein, The multiple road-side devices comprise at least two first road-side devices arranged at the entry section of the intersection in different directions, and / or at least two second road-side devices arranged at the exit section of the intersection in different directions, and the method comprises the following steps: S10, obtaining a corresponding first identification data set from each first road-side device, and / or obtaining a corresponding second identification data set from each second road-side device; the first identification data set comprises the identity of a plurality of vehicle-mounted units identified by the corresponding first road-side device and the identification time; the second identification data set comprises the identity of a plurality of vehicle-mounted units identified by the corresponding second road-side device and the identification time; S20, for each first identification data set, respectively judging whether each identity in the first identification data set appears in all other first identification data sets except the first identification data set within a first preset time, and for the identity appearing in the other first identification data set, judging whether the identity is reversely identified by the first road-side device corresponding to the first identification data set according to the identification time of the identity in each first identification data set; and / or for each second identification data set, respectively judging whether each identity in the second identification data set appears in all other second identification data sets except the second identification data set within a first preset time, and for the identity appearing in the other second identification data set, judging whether the identity is reversely identified by the second road-side device corresponding to the second identification data set according to the identification time of the identity in each second identification data set; In the S20, the judging whether the identity is reversely identified by the first road-side device corresponding to the first identification data set according to the identification time of the identity in each first identification data set comprises: subtracting the identification time of the identity in the other first identification data set from the identification time of the identity in the first identification data set to obtain at least one first difference value, and if there is at least one first difference value greater than zero and less than the first preset time, updating the reverse identification number of the first road-side device corresponding to the first identification data set; The judging whether the identity is reversely identified by the second road-side device corresponding to the second identification data set according to the identification time of the identity in each second identification data set comprises: subtracting the identification time of the identity in the second identification data set from the identification time of the identity in the other second identification data set to obtain at least one second difference value, and if there is at least one second difference value greater than zero and less than the first preset time, updating the reverse identification number of the second road-side device corresponding to the second identification data set.

2. The method of claim 1, wherein the ETC reverse identification is detected by a method comprising: In the S10, the step of obtaining the first identification data set from each first roadside device and / or obtaining the second identification data set from each second roadside device comprises: obtaining the first identification data set from each first roadside device within a first set time period and / or obtaining the second identification data set from each second roadside device within a second set time period; In the S20, The updating of the reverse identification number of the first roadside device corresponding to the first identification data set comprises: updating the reverse identification number of the first roadside device within a detection time period; The updating of the reverse identification number of the second roadside device corresponding to the second identification data set comprises: updating the reverse identification number of the second roadside device within a detection time period.

3. The method of claim 2, wherein the ETC reverse identification is detected by a method comprising: In the S10, The end time of the first set time period is set to be equal to the end time of the detection time period, and the start time of the first set time period is set to be equal to the start time of the detection time period minus the first preset time; The start time of the second set time period is set to be equal to the start time of the detection time period, and the end time of the second set time period is set to be equal to the end time of the detection time period plus the first preset time.

4. The method of claim 2, wherein the ETC reverse identification is detected by a method comprising: The first preset time Tn is set in the range of 30 seconds to 60 seconds.

5. The method of claim 2 to 4, wherein the ETC reverse identification is detected by the method comprising: Between the S10 and the S20, further comprising: S11, for each first identification data set: taking the time when the corresponding first roadside device first identifies the corresponding identity as the identification time of the corresponding identity, and removing the repeated identities in the first identification data set; and / or for each second identification data set: taking the time when the corresponding second roadside device first identifies the corresponding identity as the identification time of the corresponding identity, and removing the repeated identities in the second identification data set.

6. The method of claim 5, wherein the ETC reverse identification is detected by a method comprising: Further comprising: S30, for each first roadside device: calculating the reverse identification rate of the first roadside device within the detection time period according to the reverse identification number and the total number of identities of the first roadside device within the detection time period; and / or for each second roadside device: calculating the reverse identification rate of the second roadside device within the detection time period according to the reverse identification number and the total number of identities of the second roadside device within the detection time period.

7. An ETC reverse identification detection system characterized by, Comprising: A plurality of roadside devices arranged on each intersection of the intersections; And The processing device realizes the steps of the ETC reverse identification detection method of any one of claims 1 to 6 when executing the stored computer program.

8. A computer storage medium storing a computer program, characterized in that, The computer program realizes the steps of the ETC reverse identification detection method of any one of claims 1 to 6 when executed by the processor.

9. A control device, characterized by The ETC reverse identification detection method comprises a processor and a memory storing a computer program, wherein the processor implements the steps of the ETC reverse identification detection method according to any one of claims 1 to 6 when executing the computer program.

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