Association method, equipment and system for vehicle and personnel on vehicle based on ETC (Electronic Toll Collection)

Abstract

The invention relates to the technical field of vehicle management, and discloses an ETC-based method, device and system for associating a vehicle with a person on the vehicle, and the method comprises the steps: building a dedicated short-range communication (DSRC) connection with a plurality of target vehicles; vehicle identification information of each target vehicle is obtained based on the DSRC connection, and the obtaining time of the vehicle identification information is determined; establishing wireless communication connection with communication equipment of a plurality of target persons; acquiring equipment identification information of each communication equipment based on the wireless communication connection, and determining acquisition time of the equipment identification information; and associating the vehicle identification information and the equipment identification information of which the acquired time difference is smaller than a first preset time difference to obtain human-vehicle association information. In this way, the management level of the vehicle is improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of vehicle management, and in particular, to a method, device, and system for associating a vehicle with the occupants in the vehicle based on ETC. Background Art

[0002] With the continuous growth of the number of automobiles in China, the problems of vehicle management and the safety of personnel travel have become increasingly prominent. In order to improve the manageability of vehicles and ensure the safety of the occupants in the vehicle, it is necessary to understand the situation of the occupants in the vehicle to understand the usage of the vehicle.

[0003] Therefore, how to improve the management level of vehicles has become a technical problem to be solved urgently. Summary of the Invention

[0004] In view of the above problems, the embodiments of the present application provide a method, device, and system for associating a vehicle with the occupants in the vehicle based on ETC, which are used to solve the problem of low manageability of vehicles in the prior art.

[0005] According to one aspect of the embodiments of the present application, a method for associating a vehicle with the occupants in the vehicle based on ETC is provided. The association method includes: establishing a dedicated short-range communication (DSRC) connection with multiple target vehicles; obtaining the vehicle identification information of each target vehicle based on the DSRC connection, and determining the acquisition time of the vehicle identification information; establishing a wireless communication connection with the communication devices of multiple target persons; obtaining the device identification information of each communication device based on the wireless communication connection, and determining the acquisition time of the device identification information; associating the vehicle identification information and the device identification information with the acquisition time difference less than a first preset time difference to obtain vehicle-person association information.

[0006] Preferably, associating the vehicle identification information and the device identification information with the acquisition time difference less than a first preset time difference to obtain vehicle-person association information further includes: combining the vehicle identification information and the device identification information with the acquisition time difference less than a first preset time difference to obtain data to be associated; determining the data to be associated including the same vehicle identification information among multiple data to be associated as data to be merged; associating the vehicle identification information in the data to be merged and the multiple device identification information in the data to be merged to obtain vehicle-person association information corresponding to the vehicle identification information.

[0007] Preferably, associating the vehicle identification information and the device identification information with a time difference less than a first preset time difference to obtain the vehicle-person association information further includes: if the vehicle identification information of the same target vehicle is obtained multiple times within a continuous period of time, determining the vehicle information of the target vehicle as the parking identification information; continuously obtaining the parking identification information and determining the acquisition time of each obtained parking identification information; until the parking identification information is not obtained, determining the last obtained parking identification information as the target identification information; associating the target identification information with a time difference less than the first preset time difference and the device identification information to obtain the vehicle-person association information corresponding to the parking identification information.

[0008] Preferably, after obtaining the device identification information of each communication device based on the wireless communication connection and determining the acquisition time of the device identification information, the association method includes: determining whether the device identification information obtained this time is the same as the device identification information obtained last time; if not, associating the vehicle identification information and the device identification information with a time difference less than the first preset time difference to obtain the vehicle-person association information; if so, determining the vehicle information of the target vehicle as the parking identification information.

[0009] Preferably, after establishing dedicated short range communication (DSRC) connections with multiple target vehicles, the association method further includes: determining the target location information corresponding to each target vehicle; associating the vehicle identification information and the device identification information with a time difference less than the first preset time difference to obtain the vehicle-person association information, including: associating the vehicle identification information and the device identification information with a time difference less than the first preset time difference to obtain the first vehicle-person association information; determining the target location information of the target vehicle corresponding to the vehicle identification information included in the first vehicle-person association information; associating the determined target location information corresponding to the first vehicle-person association information with the first vehicle-person association information to obtain the second vehicle-person association information.

[0010] According to another aspect of the embodiments of the present application, there is provided an association device for a vehicle and a person on the vehicle based on ETC. The association device includes: an RSU module for establishing DSRC connections with the OBUs of multiple target vehicles and obtaining the vehicle identification information of each target vehicle based on the DSRC connections; a wireless communication module for establishing wireless communication connections with the communication devices of multiple target persons and obtaining the device identification information of each communication device based on the wireless communication; a processing module respectively connected to the RSU module and the wireless communication module, and configured to: read the vehicle identification information from the RSU module and determine the acquisition time of the vehicle identification information, read the device identification information of each communication device from the wireless communication module and determine the acquisition time of the device identification information, and associate the vehicle identification information and the device identification information with a time difference less than the first preset time difference to obtain the vehicle-person association information.

[0011] Preferably, the associated device further includes: a positioning module, connected to the processing module, for determining position information and sending the position information to the processing module; the processing module is further configured to determine the received position information as target position information corresponding to each target vehicle, associate the vehicle identification information and the device identification information with a time difference less than a first preset time difference to obtain first vehicle-person association information, determine the target position information of the target vehicle corresponding to the vehicle identification information included in the first vehicle-person association information, and associate the determined target position information corresponding to the first vehicle-person association information with the first vehicle-person association information to obtain second vehicle-person association information.

[0012] According to another aspect of the embodiments of the present application, there is provided a vehicle and on-vehicle personnel association system based on ETC. The association system includes a server and a plurality of associated devices as described in any one of the above embodiments. A communication connection is established between the server and the processing module of each associated device respectively; the associated device is further configured to send the vehicle-person association information to the server.

[0013] Preferably, the processing module is further configured to determine the vehicle identification information with a time difference less than a second preset time difference among the plurality of vehicle identification information as a plurality of parallel identification information, and send a request for the vehicle-person association information corresponding to the plurality of parallel identification information to the server; the server is further configured to query the historical vehicle-person association information corresponding to the parallel identification information, where the historical vehicle-person association information corresponds to a plurality of associated devices, or the historical vehicle-person association information corresponds to a single associated device; the processing module is further configured to receive the historical vehicle-person association information sent by the server and determine the device identification information corresponding to each parallel identification information according to the historical vehicle-person association information.

[0014] Preferably, the association system includes a first associated device and a second associated device. The distance between the first associated device and the second associated device is less than a preset distance threshold, and there is no fork in the road between the road where the first associated device is arranged and the road where the second associated device is arranged; the server is further configured to determine the estimated time for the vehicle to travel from the first associated device to the second associated device; the first associated device is further configured to, after determining the current vehicle-person association information, determine the estimated arrival time of the current vehicle at the second associated device according to the acquisition time of the current vehicle identification information corresponding to the current vehicle-person association information and the estimated time, and send the current vehicle-person association information and the estimated arrival time to the server; the server is further configured to, after the estimated arrival time and without receiving the vehicle-person association information corresponding to the current vehicle identification information sent by the second associated device, send a road warning information to the first associated device; the first associated device is further configured to send the road warning information to the communication device of the target vehicle or the target person.

[0015] In the embodiments of the present application, by obtaining the vehicle identification information of each target vehicle and the device identification information of each communication device, and associating the vehicle identification information and the device identification information with a time difference less than a first preset time difference to obtain the vehicle-person association information, the vehicle information is associated with the information of the persons in the vehicle, so that the usage situation of the vehicle information can be understood, and the management level of the vehicle is improved.

[0016] The above description is only an overview of the technical solutions of the embodiments of the present application. In order to be able to understand the technical means of the embodiments of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the embodiments of the present application more obvious and understandable, the following specifically describes the specific embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings are only used to illustrate the embodiments and are not considered as a limitation to the present application. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings: Figure 1 shows a schematic structural diagram of a vehicle-person association system provided by an embodiment of the present application; Figure 2 shows a schematic structural diagram of a vehicle-person association device provided by an embodiment of the present application; Figure 3 shows a schematic structural diagram of an association device provided by another embodiment of the present application; Figure 4 shows a schematic flowchart of a vehicle-person association method provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The exemplary embodiments of the present application will be described in more detail below with reference to the drawings. Although the exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein.

[0019] Please refer to Figure 1 , an embodiment of the present application provides a vehicle-person association system based on ETC, as Figure 1 shown, the association system 1 includes a server 40 and a plurality of association devices. A communication connection is established between the server 40 and each of the first association device 10, the second association device 20, and the third association device 30; the first association device 10, the second association device 20, and the third association device 30 are configured to send vehicle-person association information to the server.

[0020] Specifically, for the communication between each association device and the server 40, reference can be made to Figure 2In the embodiment of the present application, the first associated device 10 is taken as an example and described as an associated device 10 that communicates with the server 40.

[0021] like Figure 2 The associated device 10 shown includes: an RSU module 11, which is used to establish a DSRC connection with the OBUs of multiple target vehicles and obtain the vehicle identification information of each target vehicle based on the DSRC connection; a wireless communication module 12, which is used to establish a wireless communication connection with the communication devices of multiple target persons and obtain the device identification information of each communication device based on the wireless communication; a processing module 13, which is respectively connected to the RSU module 11 and the wireless communication module 12, and is used to perform Figure 4 The association process corresponding to the association method shown.

[0022] Among them, the associated device 10 can be installed at key locations such as parking lot entrances and exits, traffic light intersections, and intersections with heavy traffic in cities; the wireless communication module 12 can be WIFI communication, or it can be a wireless communication method such as Bluetooth communication; the target vehicle is a vehicle that enters the recognition range of RSU11 and is equipped with an OBU module; the target person is a person within the communication range of the wireless communication module 12.

[0023] The wireless communication module 12 can have a single wireless communication mode built in; the wireless communication module 12 can also have multiple wireless communication modes built in, for example, built-in WIFI communication and Bluetooth communication. When establishing a wireless communication connection with the communication device of the target person, the wireless communication module 12 first initiates a WIFI communication request. If the communication device of the target person has WIFI open, WIFI communication can be established. If the communication device of the target person has not opened WIFI, a Bluetooth communication request is further initiated.

[0024] Specifically, the processing module 13 is used to: Reading vehicle identification information from the RSU module 11 and determining the acquisition time of the vehicle identification information; Reading the device identification information of each communication device from the wireless communication module 12 and determining the acquisition time of the device identification information; The vehicle identification information and the equipment identification information whose acquired time difference is less than the first preset time difference are associated to obtain the person-vehicle association information.

[0025] The acquisition time of the vehicle identification information can be the acquisition time recorded by reading the RSU module 11, or the processing module 13 determines the reading time of the vehicle identification information from the RSU module 11 as the acquisition time of the vehicle identification information; the determination of the acquisition time of the device identification information is similar to the determination of the acquisition time of the vehicle identification information.

[0026] If the time difference between the acquisition times of the vehicle identification information and the device identification information is less than the first preset time difference, it can be characterized that the target vehicle and the communication device appear simultaneously. It can be considered that the target person using the communication device is the person on the target vehicle. Therefore, the vehicle identification information and the device identification information with the acquisition time difference less than the first preset time difference can be associated. The first preset time difference can be set according to actual usage needs. For example, it can be set to 1 second.

[0027] Preferably, as Figure 3 shown, the association device 10 further includes: a positioning module 14, connected to the processing module 13, for determining the location information and sending the location information to the processing module 13 to achieve the positioning of the target vehicle and the target person.

[0028] The vehicle identification information of each target vehicle is obtained through the RSU module 11, and the device identification information of each communication device is obtained through the wireless communication module 12. The processing module 13 associates the vehicle identification information and the device identification information with the acquisition time difference less than the first preset time difference to obtain the vehicle-person association information, so as to associate the vehicle information with the information of the person on the vehicle, thereby enabling the usage situation of the vehicle information to be understood and improving the management level of the vehicle. Further, the association system 1 can understand the usage situation of vehicles at multiple locations based on multiple association devices installed at multiple locations, so as to understand the usage situation and traffic conditions of vehicles within the city.

[0029] Among them, Figure 4 the shown association method includes: S101, establishing a dedicated short-range communication (DSRC) connection with multiple target vehicles.

[0030] S102, obtaining the vehicle identification information of each target vehicle based on the DSRC connection and determining the acquisition time of the vehicle identification information; S103, establishing a wireless communication connection with the communication devices of multiple target persons; S104, obtaining the device identification information of each communication device based on the wireless communication connection and determining the acquisition time of the device identification information; S105, associating the vehicle identification information and the device identification information with the acquisition time difference less than the first preset time difference to obtain the vehicle-person association information.

[0031] For further illustration of the association method as Figure 4 shown, this application provides Embodiments 1 to 3. Embodiments 1 to 3 are all executed by the above-mentioned association device 10. Embodiment

[0032] Embodiment 1 provides an association method for vehicles and persons on the vehicle based on ETC. The association method includes: S110. Establish dedicated short-range communication (DSRC) connections with multiple target vehicles.

[0033] The associated device 10 executes S110 based on the RSU module 11.

[0034] S120. Obtain the vehicle identification information of each target vehicle based on the DSRC connection, and determine the acquisition time of the vehicle identification information.

[0035] The associated device 10 executes S120 based on the RSU module 11.

[0036] S130. Determine the target location information corresponding to each target vehicle.

[0037] Determine the installation location information of the associated device 10 as the target location information corresponding to each target vehicle. Optionally, the installation location information corresponding to the associated device 10 is pre-stored in the processing module 13 of the associated device 10. When executing S130, the processing module 13 reads the pre-stored installation location information. Preferably, the associated device 10 executes S130 based on the positioning module 14. When executing S130, the positioning module 14 identifies the current location information of the associated device 10, for example, the longitude, latitude, and altitude information, and sends the longitude, latitude, and altitude information to the processing module 13. By reading the location information in real time through the positioning module 14, the accuracy of determining the target location information can be improved to adapt to the usage scenario where the associated device 10 needs to move repeatedly. Further, when executing S130, the processing module 13 can also save the location information sent by the positioning module 14. The positioning module 14 periodically identifies the current location information of the associated device 10 and updates the location information stored in the processing module 13 after identification.

[0038] S140. Establish wireless communication connections with the communication devices of multiple target persons.

[0039] The associated device 10 executes S140 based on the wireless communication module 12.

[0040] S150. Obtain the device identification information of each communication device based on the wireless communication connection, and determine the acquisition time of the device identification information.

[0041] The associated device 10 executes S150 based on the wireless communication module 12.

[0042] S160. Associate the vehicle identification information and the device identification information with a time difference less than the first preset time difference to obtain the first vehicle-person association information.

[0043] The associated device 10 executes S160 based on the processing module 13.

[0044] S170. Determine the target location information of the target vehicle corresponding to the vehicle identification information included in the first vehicle-person association information.

[0045] Association device 10 executes S170 based on processing module 13.

[0046] S180. Associate the determined target location information corresponding to the first vehicle-person association information with the first vehicle-person association information to obtain the second vehicle-person association information.

[0047] Association device 10 executes S180 based on processing module 13.

[0048] Associating the target location information into the first vehicle-person association information for association to obtain the second vehicle-person association information can make the second vehicle-person association information include the vehicle identification information of the target vehicle, the device identification information of the communication device used by the target person on the target vehicle, and the target location information of the target vehicle's location.

[0049] Furthermore, the acquisition time of the vehicle identification information or the acquisition time of the device identification information can also be associated into the second vehicle-person association information. Server 40 can draw the driving path of the vehicle and the driving path of the people on the vehicle on the map based on the second vehicle-person association information of multiple association devices, and thus can be applied to the public security system to pursue fugitives.

[0050] Embodiment 2 provides a method for associating a vehicle with the people on the vehicle based on ETC. The association method includes: S210. Establish dedicated short-range communication (DSRC) connections with multiple target vehicles.

[0051] S220. Obtain the vehicle identification information of each target vehicle based on the DSRC connection and determine the acquisition time of the vehicle identification information.

[0052] S230. Establish wireless communication connections with the communication devices of multiple target people.

[0053] S240. Obtain the device identification information of each communication device based on the wireless communication connection and determine the acquisition time of the device identification information.

[0054] S250. Combine the vehicle identification information and the device identification information with an acquisition time difference less than the first preset time difference to obtain the data to be associated.

[0055] S260. Determine the data to be associated including the same vehicle identification information among the multiple data to be associated as the data to be merged.

[0056] S270. Associate the vehicle identification information in the data to be merged and the multiple device identification information in the data to be merged to obtain the vehicle-person association information corresponding to the vehicle identification information.

[0057] When there are multiple passengers in a vehicle, when executing S250, the data to be associated between the vehicle and the communication devices of multiple passengers will be obtained. Therefore, it is necessary to uniformly associate the communication devices of the passengers corresponding to the same vehicle.

[0058] For example, when executing S250, it is determined that the data to be associated includes (A, a), (A, b), and (A, c), where A is the vehicle identification information, and a, b, and c are the device identification information respectively. At this time, it is necessary to execute S260 to determine (A, a), (A, b), and (A, c) as the data to be merged, and execute S270 to obtain the vehicle-person association information (A, a, b, c) corresponding to A, so as to better indicate the usage situation of the vehicle through the vehicle-person association information.

[0059] Embodiment 3 provides a method for associating a vehicle with the persons in the vehicle based on ETC. The association method includes: S310, establish a dedicated short-range communication (DSRC) connection with multiple target vehicles.

[0060] Based on the DSRC connection, obtain the vehicle identification information of each target vehicle and determine the acquisition time of the vehicle identification information.

[0061] S320, establish a wireless communication connection with the communication devices of multiple target persons.

[0062] S330, based on the wireless communication connection, obtain the device identification information of each communication device and determine the acquisition time of the device identification information.

[0063] S340, if the vehicle identification information of the same target vehicle is obtained multiple times within a continuous time period, then determine the vehicle information of the target vehicle as the parking identification information.

[0064] When the association device 10 is installed at the entrance and exit of the parking lot, it is easy to repeatedly read the identification information of the vehicles in the parking spaces near the entrance and exit of the parking lot. Therefore, it is necessary to execute S340 to make a judgment on this to improve the accuracy of the association. Specifically, S340 further includes S341~S342 to judge the parking identification information.

[0065] S341, judge whether the device identification information obtained this time is the same as the device identification information obtained last time; if not, jump to S342; if so, jump to S343.

[0066] S342, associate the vehicle identification information and the device identification information with a time difference less than the first preset time difference to obtain the vehicle-person association information.

[0067] If they are inconsistent, it indicates that the vehicle corresponding to the vehicle identification information is a newly identified vehicle by the associated device 10, and normal association can be performed on it.

[0068] S343, determine the vehicle information of the target vehicle as the parking identification information.

[0069] If they are consistent, it indicates that the vehicle corresponding to the vehicle identification information is a repeatedly identified vehicle by the associated device 10, and this vehicle information can be determined as the parking identification information to avoid associating the device identification information of the people on the vehicle of a newly entered vehicle with the parking identification information.

[0070] S350, continuously obtain the parking identification information and determine the acquisition time of each obtained parking identification information.

[0071] S360, until the parking identification information is not obtained, then determine the last obtained parking identification information as the target identification information.

[0072] When the parking identification information is obtained for the last time, it indicates that the vehicle has been driven out. At this time, this vehicle can be determined as the target vehicle for association.

[0073] S370, associate the target identification information and the device identification information with a time difference less than the first preset time difference to obtain the person-vehicle association information corresponding to the parking identification information.

[0074] By determining the parking identification information, the wrong association of the device identification information with the parking identification information is avoided, thereby improving the accuracy of the association.

[0075] In the first to third embodiments, the vehicle identification information of each target vehicle and the device identification information of each communication device are obtained, and the vehicle identification information and the device identification information with a time difference less than the first preset time difference are associated to obtain the person-vehicle association information, so as to associate the vehicle information with the information of the people on the vehicle, thereby enabling the usage situation of the vehicle information to be understood and improving the management level of the vehicle.

[0076] In the actual application of the association system 1, there will be a situation where two vehicles drive parallel to the association device 10. At this time, all the personnel on the two vehicles are respectively associated with the two vehicles. Therefore, the personnel can be associated with the vehicles according to the historical association situation of the vehicles. For example, there are passengers corresponding to device identification information a and b on the vehicle corresponding to vehicle identification information A, and there are passengers corresponding to device identification information c and d on the vehicle corresponding to vehicle identification information C. If no processing is performed, the vehicle-person association information (A, a, b, c, d) and (B, a, b, c, d) will be obtained. At this time, the historical vehicle-person association information corresponding to A can be obtained. For example, A was previously associated with a, b, and e, and the server 40 stores (A, a, e) and (A, a, b). B was previously associated with c, d, and f, and the server 40 stores (B, c, d, f). Then, the a and b obtained this time can be associated with A, and the c and d can be associated with B. Specifically, The processing module 13 is further configured to determine vehicle identification information with a time difference less than a second preset time difference obtained from multiple vehicle identification information as multiple parallel identification information, and send a request for vehicle-person association information corresponding to the multiple parallel identification information to the server.

[0077] The server 40 is further configured to query historical vehicle-person association information corresponding to the parallel identification information, where the historical vehicle-person association information corresponds to multiple association devices, or the historical vehicle-person association information corresponds to a single association device.

[0078] The processing module 13 is further configured to receive the historical vehicle-person association information sent by the server, and determine device identification information corresponding to each parallel identification information according to the historical vehicle-person association information.

[0079] The association system 1 provided by the present application is used for vehicle anti-theft based on historical vehicle-person association information. For example, after associating vehicle identification information and device identification information with a time difference less than a first preset time difference to obtain vehicle-person association information, the association method further includes: The processing module 13 obtains historical vehicle-person association information corresponding to the vehicle identification information from the server 40; If the device identification information of the vehicle-person association information does not exist in the device identification information included in the historical vehicle-person association information, the processing module 14 may generate a vehicle alarm information and send the vehicle alarm information to the server 40.

[0080] Subsequently, the server 40 may send the alarm information to the owner device bound to the vehicle identification information.

[0081] The associated system 1 provided by this application can also be used for emergency rescue. Preferably, the associated system 1 includes a first associated device 10 and a second associated device 20. The distance between the first associated device 10 and the second associated device 20 is less than a preset distance threshold, and there is no fork in the road where the first associated device 10 is arranged and the road where the second associated device 20 is arranged; The server 40 is further configured to determine the estimated time required for the vehicle to travel from the first associated device 10 to the second associated device 20; The first associated device 10 is further configured to, after determining the current person-vehicle association information, determine the estimated arrival time of the current vehicle at the second associated device according to the acquisition time of the current vehicle identification information corresponding to the current person-vehicle association information and the estimated time, and send the current person-vehicle association information and the estimated arrival time to the server 40; The server 40 is further configured to, after the estimated arrival time and without receiving the person-vehicle association information corresponding to the current vehicle identification information sent by the second associated device 20, send a road warning message to the first associated device 10; The first associated device 10 is further configured to send the road warning message to the communication device of the target vehicle or the target person.

[0082] There is no fork in the road between the first associated device 10 at position a and the second associated device 20 at position b. The server 40 calculates the longest time for a vehicle to travel on the road from a to b without an accident. This calculation can be based on statistical methods, such as the third quartile, or the maximum duration after removing outliers and anomalies.

[0083] When the vehicle passes through position a, the first associated device 10 sends the person-vehicle association information and the time information to the server 40 together, and the server 40 estimates the estimated time required for the vehicle to reach position b.

[0084] If within a certain period of time, a certain proportion of the vehicles passing through position a do not reach position b within the estimated time, it can be determined that the section of the road from a to b is an emergency section where an accident has occurred. For example, there is a landslide on the road section from a to b.

[0085] When the subsequent vehicle passes, the first associated device 10 sends a road warning message to the communication device of the target vehicle or the target person based on the RSU module 11 or the wireless communication module 12.

[0086] An embodiment of this application provides a computer-readable storage medium, and the storage medium stores a computer program, which when executed by a processor implements the steps in the above-mentioned associated method embodiment.

[0087] An embodiment of this application provides a computer program, and the computer program can be executed by a processor to implement the steps in the above-mentioned associated method embodiment.

[0088] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps in the above-mentioned associated method embodiment are implemented.

[0089] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings provided herein. The structure required to construct such systems will be apparent from the above description. In addition, the embodiments of the present application are not directed to any specific programming language. It should be understood that the content of the present application described herein can be implemented using various programming languages, and the descriptions of specific languages above are for disclosing the best mode of the present application.

[0090] In the specification provided herein, a large number of specific details are set forth. However, it can be understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0091] Similarly, it should be understood that, in order to streamline the present application and assist in understanding one or more of the various inventive aspects, in the above description of the exemplary embodiments of the present application, the various features of the embodiments of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, the disclosed method should not be construed as reflecting the intention that the claimed present application requires more features than are expressly recited in each claim.

[0092] Those skilled in the art can understand that the modules in the devices in the embodiments can be adaptively changed and disposed in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into a module or unit or component, and they can be divided into multiple sub-modules or sub-units or sub-components. Except that at least some of such features and / or processes or units are mutually exclusive, any combination can be adopted to combine all the features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all the processes or units of any method or device so disclosed. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) can be replaced by an alternative feature that provides the same, equivalent, or similar purpose.

[0093] It should be noted that the above embodiments illustrate the present application rather than limit the present application, and those skilled in the art can design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in the claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present application can be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim listing several devices, several of these devices may be embodied by the same item of hardware. The use of the words first, second, and third, etc. does not denote any order. These words may be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. A method for associating a vehicle with a person on board based on ETC, characterized in that: The association method includes: Establishing dedicated short-range communication (DSRC) connections with multiple target vehicles; Acquiring vehicle identification information of each target vehicle based on the DSRC connection, and determining a time for acquiring the vehicle identification information; establishing wireless communication connections with communication devices of multiple target persons; Acquire device identification information of each communication device based on the wireless communication connection, and determine the acquisition time of the device identification information; The vehicle identification information and the equipment identification information whose acquired time difference is less than the first preset time difference are associated to obtain the person-vehicle association information.

2. The association method according to claim 1, characterized in that: The step of associating the vehicle identification information and the device identification information whose time difference is less than the first preset time difference to obtain the person-vehicle association information further includes: Combining the vehicle identification information and the device identification information whose time difference is less than the first preset time difference to obtain the data to be associated; Determining the data to be associated that include the same vehicle identification information among the plurality of data to be associated as data to be merged; The vehicle identification information in the data to be merged and the multiple device identification information in the data to be merged are associated to obtain person-vehicle association information corresponding to the vehicle identification information.

3. The association method according to claim 1, characterized in that: The step of associating the vehicle identification information and the device identification information whose time difference is less than the first preset time difference to obtain the person-vehicle association information further includes: If the vehicle identification information of the same target vehicle is obtained multiple times within a continuous period of time, the vehicle information of the target vehicle is determined as parking identification information; Continuously acquiring the parking sign information and determining the acquisition time of each acquired parking sign information; Until the parking sign information is not obtained, the parking sign information obtained last time is determined as the target sign information; The target identification information and the equipment identification information whose acquired time difference is less than the first preset time difference are associated to obtain the person-vehicle association information corresponding to the parking identification information.

4. The association method according to claim 3, characterized in that: After acquiring the device identification information of each communication device based on the wireless communication connection and determining the acquisition time of the device identification information, the association method includes: Determine whether the device identification information obtained this time is consistent with the device identification information obtained last time; If they are inconsistent, the vehicle identification information and the equipment identification information whose time difference is less than the first preset time difference are associated to obtain person-vehicle association information; If they are consistent, the vehicle information of the target vehicle is determined as the parking sign information.

5. The association method according to claim 1, characterized in that: After establishing dedicated short range communication (DSRC) connections with multiple target vehicles, the association method further includes: Determining target position information corresponding to each of the target vehicles; The step of associating the vehicle identification information and the device identification information whose time difference is less than the first preset time difference to obtain the person-vehicle association information includes: Associating the vehicle identification information and the device identification information whose acquired time difference is less than the first preset time difference to obtain first person-vehicle association information; Determine target position information of a target vehicle corresponding to the vehicle identification information included in the first person-vehicle association information; The target position information corresponding to the determined first person-vehicle association information is associated with the first person-vehicle association information to obtain second person-vehicle association information.

6. An ETC-based vehicle and vehicle personnel association device, characterized in that: The associated equipment includes: The RSU module is used to establish a DSRC connection with the OBUs of multiple target vehicles and obtain vehicle identification information of each target vehicle based on the DSRC connection; A wireless communication module, used to establish wireless communication connections with communication devices of multiple target persons, and obtain device identification information of each communication device based on the wireless communication; A processing module is connected to the RSU module and the wireless communication module respectively, and is used to: Reading the vehicle identification information from the RSU module and determining the acquisition time of the vehicle identification information, Reading the device identification information of each communication device from the wireless communication module and determining the acquisition time of the device identification information, The vehicle identification information and the equipment identification information whose acquired time difference is less than the first preset time difference are associated to obtain the person-vehicle association information.

7. The associated device according to claim 6, characterized in that: The associated device also includes: A positioning module, connected to the processing module, for determining position information and sending the position information to the processing module; The processing module is also used to determine the received position information as the target position information corresponding to each of the target vehicles, associate the vehicle identification information and equipment identification information whose time difference is less than the first preset time difference to obtain the first person-vehicle association information, determine the target position information of the target vehicle corresponding to the vehicle identification information included in the first person-vehicle association information, and associate the target position information corresponding to the determined first person-vehicle association information with the first person-vehicle association information to obtain the second person-vehicle association information.

8. A vehicle-on-vehicle association system based on ETC, characterized in that: The association system comprises a server and a plurality of association devices according to any one of claims 6 to 7, wherein a communication connection is established between the server and a processing module of each of the association devices; The association device is also used to send the person-vehicle association information to the server.

9. The association system according to claim 8, characterized in that: The processing module is further used to determine the vehicle identification information whose acquisition time difference is less than the second preset time difference among the multiple vehicle identification information as multiple parallel identification information, and send a request for the person-vehicle association information corresponding to the multiple parallel identification information to the server; The server is further used to query the historical person-vehicle association information corresponding to the parallel identification information, the historical person-vehicle association information corresponds to multiple association devices, or the historical person-vehicle association information corresponds to a single association device; The processing module is further used to receive the historical person-vehicle association information sent by the server, and determine the device identification information corresponding to each parallel identification information according to the historical person-vehicle association information.

10. The association system according to claim 9, characterized in that: The association system includes a first association device and a second association device, the distance between the first association device and the second association device is less than a preset distance threshold, and there is no fork in the road arranged by the first association device and the road arranged by the second association device; The server is further used to determine an estimated time taken for the vehicle to travel from the first associated device to the second associated device; The first association device is further used to determine the estimated arrival time of the current vehicle traveling to the second association device according to the acquisition time of the current vehicle identification information corresponding to the current vehicle association information and the estimated time after determining the current person-vehicle association information, and send the current person-vehicle association information and the estimated arrival time to the server; The server is further configured to send road warning information to the first associating device after the estimated arrival time and without receiving the person-vehicle associating information corresponding to the current vehicle identification information sent by the second associating device; The first associated device is further used to send the road warning information to the communication device of the target vehicle or the target person.

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