Vehicle longitudinal division method, device and electronic equipment

By building a two-dimensional coordinate system in the highway section weighing system and assigning measurement objects using linear regression method, the problem of reduced reliability of coil sensors in the car-following scenario is solved, and the accuracy of longitudinal splitting and the overall weighing system are improved. accuracy.

CN114662053BActive Publication Date: 2025-01-03VANJEE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202011522681.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-12-22
Publication Date
2025-01-03
Estimated Expiration
2040-12-22

AI Technical Summary

Technical Problem

In the road section weighing system, the reliability of the coil sensor in the car-following scenario is reduced, resulting in increased difficulty in longitudinal splitting, affecting the accuracy of the weighing system.

Method used

By acquiring the measurement objects of the target vehicle and the following vehicle in the state of being ready to be discharged, a two-dimensional coordinate system is constructed, and the allocation of the measurement objects is determined using a linear regression method to improve the accuracy of the split vehicle.

Benefits of technology

It improves the accuracy of longitudinal splitting, reduces splitting errors, and enhances the accuracy of the road section weighing system.

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Abstract

The disclosed embodiment provides a method, device and electronic device for longitudinal vehicle segmentation, which belongs to the field of data processing technology. The method includes: obtaining all measurement objects corresponding to the target vehicle after the vehicle is in the waiting state; determining multiple coordinate points formed by the measurement object in a two-dimensional coordinate system based on the trigger information generated by the target vehicle and the following vehicle for the measurement object; performing a linear regression operation on the multiple coordinate points to obtain a linear regression line; based on the linear regression line, assigning the measurement object to the target vehicle or the following vehicle adjacent to the target vehicle. Through the scheme disclosed in the present invention, the accuracy of longitudinal vehicle segmentation can be improved.
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Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a method, device and electronic equipment for longitudinally dividing vehicles. Background Art

[0002] At present, the mileage of open roads in my country is increasing year by year, but the road traffic safety situation is still not optimistic. Among them, the safety problems caused by overloaded freight vehicles are still prominent. The use of information technology to control overload has become the main way for my country to control overloaded freight. Among them, the highway section weighing mode has become a development hotspot. It breaks the convention that the original weighing equipment can only be used for weighing vehicles in a single lane. Multiple weighing equipment is used to automatically weigh vehicles passing through the highway section. Using this mode, there is no need to build a separate overload detection station, which can not only save construction costs and human resources, but also has outstanding results.

[0003] Narrow bar pressure sensors and coil sensors are commonly used sensors in highway section weighing systems. The two types of sensors work together to achieve dynamic weighing of vehicles. The narrow bar is installed on the highway roadbed in a fixed position, and the upper surface is flush with the road surface. When a vehicle passes over the narrow bar, it will cause the corresponding narrow bar to deform. The deformation can be used to infer the pressure on the narrow bar (also including the trigger position and the maximum pressure), and then the wheel weight can be inferred. The coil sensor is installed at the entrance and exit of the narrow bar weighing area. When a vehicle passes over the coil, the coil senses that there is a vehicle above and will give a trigger signal. When the vehicle leaves, the trigger signal disappears. The coil sensors at the entrance and exit are combined to determine the longitudinal position of the vehicle relative to the weighing area.

[0004] Following a vehicle is a challenging scenario commonly faced by multiple weighing devices in the existing highway section weighing mode. Under this condition, the reliability of the coil sensor used for longitudinal vehicle separation is reduced, which increases the difficulty of longitudinal vehicle separation. Summary of the invention

[0005] In view of this, an embodiment of the present disclosure provides a longitudinal vehicle splitting method, which at least partially solves the problems existing in the prior art.

[0006] In a first aspect, an embodiment of the present disclosure provides a method for longitudinally dividing a vehicle, comprising:

[0007] Obtain all measurement objects corresponding to the target vehicle in the waiting-to-depart state;

[0008] Determine a plurality of coordinate points formed by the measurement object in a two-dimensional coordinate system based on trigger information generated by the target vehicle and the following vehicle for the measurement object;

[0009] Performing a linear regression operation on the multiple coordinate points to obtain a linear regression line;

[0010] Based on the linear regression line, the measurement object is allocated to the target vehicle or a following vehicle adjacent to the target vehicle.

[0011] According to a specific implementation of the embodiment of the present disclosure, the step of obtaining all measurement objects corresponding to the target vehicle in the waiting-to-depart state includes:

[0012] The measurement objects experienced by the target vehicle in the preset measurement area within the time range from entering the waiting state to the vehicle exiting state are obtained, so as to obtain all the measurement objects corresponding to the target vehicle after the waiting state.

[0013] According to a specific implementation of the embodiment of the present disclosure, the determining of a plurality of coordinate points formed by the measurement object in a two-dimensional coordinate system based on trigger information generated by the target vehicle and the following vehicle for the measurement object includes:

[0014] Acquire a time sequence in which the target vehicle and the following vehicle pass through the measurement object, so as to form a first sequence based on the time sequence;

[0015] Based on the position attributes of all the measurement objects, forming a second sequence;

[0016] The two-dimensional coordinate system is formed by taking the first sequence as the horizontal coordinate and the second sequence as the vertical coordinate.

[0017] According to a specific implementation of the embodiment of the present disclosure, the determining of a plurality of coordinate points formed by the measurement object in a two-dimensional coordinate system based on the trigger information generated by the target vehicle and the following vehicle for the measurement object also includes:

[0018] Obtain the time sequence value when the target vehicle or the following vehicle passes the measurement object and the number value of the measurement object;

[0019] Based on the time sequence value and the number value, the coordinate value of the measured object in the two-dimensional coordinate system is determined, so as to form a coordinate point based on the coordinate value.

[0020] According to a specific implementation of the embodiment of the present disclosure, performing a linear regression operation on the multiple coordinate points to obtain a linear regression line includes:

[0021] Performing least squares regression on the coordinate values ​​corresponding to the multiple coordinate points;

[0022] Based on the results of the least squares regression, the linear regression line is determined.

[0023] According to a specific implementation of the embodiment of the present disclosure, the allocating the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line includes:

[0024] Obtaining a first coordinate set contained above the regression line;

[0025] The measurement object set corresponding to the first coordinate set is confirmed as the measurement objects corresponding to the target vehicle.

[0026] According to a specific implementation of the embodiment of the present disclosure, the allocating the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line further includes:

[0027] Obtaining a second coordinate set contained below the regression line;

[0028] The measurement object set corresponding to the second coordinate set is confirmed as the measurement objects corresponding to the following vehicle.

[0029] In a second aspect, an embodiment of the present disclosure provides a vehicle longitudinal splitting device, comprising:

[0030] An acquisition module is used to acquire all measurement objects corresponding to the target vehicle after it is in the waiting state;

[0031] A determination module, configured to determine a plurality of coordinate points formed by the measurement object in a two-dimensional coordinate system based on trigger information generated by the target vehicle and the following vehicle for the measurement object;

[0032] A regression module, used for performing a linear regression operation on the plurality of coordinate points to obtain a linear regression line;

[0033] An allocating module is used to allocate the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line.

[0034] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the electronic device comprising:

[0035] at least one processor; and,

[0036] a memory communicatively connected to the at least one processor; wherein,

[0037] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the vehicle longitudinal separation method in the aforementioned first aspect or any implementation of the first aspect.

[0038] In a fourth aspect, an embodiment of the present disclosure further provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the vehicle longitudinal separation method in the aforementioned first aspect or any implementation of the first aspect.

[0039] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the vehicle longitudinal separation method in the aforementioned first aspect or any implementation of the first aspect.

[0040] The vehicle longitudinal separation scheme in the embodiment of the present disclosure includes: obtaining all measurement objects corresponding to the target vehicle after the vehicle is in the waiting state; determining multiple coordinate points formed by the measurement object in the two-dimensional coordinate system based on the trigger information generated by the target vehicle and the following vehicle for the measurement object; performing a linear regression operation on the multiple coordinate points to obtain a linear regression line; and based on the linear regression line, distributing the measurement object to the target vehicle or the following vehicle adjacent to the target vehicle. Through the scheme of the present disclosure, the trigger order and row number of the measurement objects are converted into two-dimensional coordinates, and the least squares method is used to fit the straight line for separation, thereby improving the accuracy of the separation operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 A schematic diagram of a flow chart of a method for longitudinally dividing a vehicle provided in an embodiment of the present disclosure;

[0043] Figure 2 A schematic diagram of a longitudinal division of a vehicle provided in an embodiment of the present disclosure;

[0044] Figure 3 A schematic diagram of a flow chart of another method for longitudinally dividing vehicles provided in an embodiment of the present disclosure;

[0045] Figure 4 A schematic diagram of a flow chart of another method for longitudinally dividing vehicles provided in an embodiment of the present disclosure;

[0046] Figure 5 A schematic structural diagram of a vehicle longitudinal splitting device provided in an embodiment of the present disclosure;

[0047] Figure 6 A schematic diagram of an electronic device provided in accordance with an embodiment of the present disclosure. DETAILED DESCRIPTION

[0048] The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0049] The following describes the embodiments of the present disclosure through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of the embodiments. The present disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.

[0050] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0051] It should also be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present disclosure. The drawings only show components related to the present disclosure rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0052] Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects described may be practiced without these specific details.

[0053] See also Figure 1 and Figure 2 , is a flow chart of a method for longitudinally dividing a vehicle provided by an embodiment of the present disclosure, such as Figure 1 As shown, the method mainly includes:

[0054] S101, obtaining all measurement objects corresponding to the target vehicle in a waiting-to-depart state.

[0055] The highway section weighing system mainly relies on coil sensors to perform longitudinal vehicle separation. When the area where the coil sensors are deployed is congested, the vehicle speed slows down, the longitudinal spacing decreases, etc., the front / rear coils will be frequently triggered and extinguished. Figure 2 , when the first vehicle (vehicle 1) has not completely left the weighing area, the second vehicle (vehicle 2) may have already pressed the first few rows of narrow sensors (measurement objects), which will bring great challenges to the on-site vehicle division logic, and may cause errors in vehicle division and axle number, leading to large weight deviations and affecting the accuracy of the highway section weighing system. For this reason, the distribution of measurement objects needs to be reset.

[0056] The measurement object can be Figure 2 The narrow strip sensor described in the figure may also be other similar sensing devices, and the specific style of the measured object is not limited here.

[0057] The waiting vehicle state is when the target vehicle has not yet left the sensing area (for example, Figure 2 The weighing area shown in the dotted box), when the rear coil is still not extinguished, another vehicle from the rear enters the sensing area and triggers the front coil. At this time, the vehicle in front enters the waiting state, that is, when the rear vehicle (for example, Figure 2 After the vehicle 2 in the measurement area (sensing area), the preceding vehicle (for example, Figure 2 The vehicle 1) in the measurement area changes to the waiting state; the vehicle changes to the departure state after leaving the measurement area. Figure 2 After vehicle 1 enters the waiting state, for the newly triggered narrow strip within the vehicle boundary, no vehicle is directly put in, but a new vehicle is reassembled. Since both vehicles are in the sensing area during this period, some of the narrow strip sensors in the newly assembled vehicle 2 belong to vehicle 1.

[0058] In order to distinguish whether the signal caused by the measurement object belongs to the target vehicle (e.g. Figure 2 1) or a following vehicle of the target vehicle (e.g., Figure 2 For vehicles 2), it is necessary to first obtain all measurement objects in the sensing area.

[0059] S102: Determine a plurality of coordinate points of the measurement object in a two-dimensional coordinate system based on trigger information generated by the target vehicle and the following vehicle for the measurement object.

[0060] In order to distinguish whether the trigger signal generated by the measurement object is caused by the target vehicle or the following vehicle, a two-dimensional coordinate system related to the measurement object can be constructed. Specifically, the time sequence of the target vehicle and the following vehicle passing the measurement object can be obtained, so as to form a first sequence based on the time sequence. For example, the first time to pass the measurement object can be set to the number 1 in the first sequence, and the second time to pass the measurement object can be set to the number 2 in the first sequence, and so on, to form a first sequence. For example, if the target vehicle and the following vehicle trigger the measurement object 8 times in total, the sequence {0,1,2,3,4,5,6,7,8} can be set as the first sequence.

[0061] At the same time, the row numbers of all the measurement objects on the narrow strip layout can be obtained to form a second sequence. The row number can be obtained by mapping the number of the measurement object through a certain rule. Finally, the two-dimensional coordinate system is formed with the first sequence as the horizontal coordinate and the second sequence as the vertical coordinate. By constructing a two-dimensional coordinate system, the trigger signal of the measurement object can be effectively described based on time and the row number of the measurement object.

[0062] After the two-dimensional coordinate system is established, the time sequence value when the target vehicle or the following vehicle passes the measurement object and the number value of the measurement object can be further obtained; based on the time sequence value and the number value, the coordinate value of the measurement object in the two-dimensional coordinate system is determined, so as to form a coordinate point based on the coordinate value, forming a Figure 3 The schematic diagram of the car division is shown.

[0063] S103, performing a linear regression operation on the plurality of coordinate points to obtain a linear regression line.

[0064] After obtaining multiple coordinate points on the two-dimensional coordinate system, linear regression operations can be performed on the multiple coordinate points. For example, linear regression can be performed using the least squares method. The least squares method is actually called the least square method, which is an optimization technology for data fitting. In essence, it uses the square of the minimum error to find the best matching function for the data. In this patent, specifically, a straight line is found so that the total deviation from all points in the two-dimensional image to the straight line is minimized. In the two-dimensional plane, the least squares formula is as follows, see Figure 3 , x, y are the horizontal and vertical coordinates, a and b are the slope and intercept of the line in the plane. The regression line can be calculated by the following formula:

[0065]

[0066]

[0067] S104: Allocate the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line.

[0068] After obtaining the regression line, the measurement objects can be assigned to the target vehicle or the following vehicle based on the regression line. Figure 3 In the example, the first coordinate set contained above the regression line can be obtained; the measurement object set corresponding to the first coordinate set can be confirmed as the measurement object corresponding to the target vehicle. The second coordinate set contained below the regression line can be obtained; the measurement object set corresponding to the second coordinate set can be confirmed as the measurement object corresponding to the following vehicle.

[0069] By adopting the method in this embodiment, the triggering order and row number of the narrow strip sensors are converted into two-dimensional coordinates, and the least square method is used to fit the straight line for dividing the vehicles, so that the vehicle division operation can be performed quickly and accurately.

[0070] According to a specific implementation method of an embodiment of the present disclosure, obtaining all measurement objects corresponding to the target vehicle after it is in the waiting-to-depart state includes: obtaining the measurement objects experienced by the target vehicle in a preset measurement area within a time range from entering the waiting-to-depart state to the departing state, so as to obtain all measurement objects corresponding to the target vehicle after it is in the waiting-to-depart state.

[0071] See also Figure 4 According to a specific implementation of the embodiment of the present disclosure, the method of determining a plurality of coordinate points formed by the measurement object in a two-dimensional coordinate system based on the trigger information generated by the target vehicle and the following vehicle for the measurement object includes:

[0072] S401, obtaining a time sequence in which a target vehicle and a following vehicle pass through a measurement object, so as to form a first sequence based on the time sequence;

[0073] S402, forming a second sequence based on the location attributes of all the measurement objects;

[0074] The position attribute may be the row numbers formed when the measurement objects are arranged in rows or columns, and the second sequence is formed by the sequence numbers of these row numbers.

[0075] S403, forming the two-dimensional coordinate system using the first sequence as the horizontal coordinate and the second sequence as the vertical coordinate.

[0076] According to a specific implementation method of an embodiment of the present disclosure, the method of determining multiple coordinate points of the measured object in a two-dimensional coordinate system based on trigger information generated by the target vehicle and the following vehicle for the measured object also includes: obtaining a time sequence value when the target vehicle or the following vehicle passes the measured object and a number value of the measured object; based on the time sequence value and the number value, determining the coordinate value of the measured object in the two-dimensional coordinate system, so as to form coordinate points based on the coordinate value.

[0077] According to a specific implementation of the embodiment of the present disclosure, performing a linear regression operation on the multiple coordinate points to obtain a linear regression line includes:

[0078] Performing least squares regression on the coordinate values ​​corresponding to the multiple coordinate points;

[0079] Based on the results of the least squares regression, the linear regression line is determined.

[0080] According to a specific implementation of the embodiment of the present disclosure, the allocating the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line includes:

[0081] Obtaining a first coordinate set contained above the regression line;

[0082] The measurement object set corresponding to the first coordinate set is confirmed as the measurement objects corresponding to the target vehicle.

[0083] According to a specific implementation of the embodiment of the present disclosure, the allocating the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line further includes:

[0084] Obtaining a second coordinate set contained below the regression line;

[0085] The measurement object set corresponding to the second coordinate set is confirmed as the measurement objects corresponding to the following vehicle.

[0086] Corresponding to the above method embodiment, see Figure 5 The embodiment of the present disclosure further provides a vehicle longitudinal splitting device 50, comprising:

[0087] The acquisition module 501 is used to acquire all the measurement objects corresponding to the target vehicle after the target vehicle is in the waiting state;

[0088] A determination module 502 is used to determine a plurality of coordinate points formed by the measurement object in a two-dimensional coordinate system based on trigger information generated by the target vehicle and the following vehicle for the measurement object;

[0089] A regression module 503 is used to perform a linear regression operation on the plurality of coordinate points to obtain a linear regression line;

[0090] The allocation module 504 is configured to allocate the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line.

[0091] Figure 5The device shown can correspondingly execute the contents of the above method embodiment. For the parts not described in detail in this embodiment, refer to the contents recorded in the above method embodiment and will not be repeated here.

[0092] See also Figure 6 The embodiment of the present disclosure further provides an electronic device 60, which may be a mobile terminal or an electronic device involved in the above embodiment. The electronic device may include:

[0093] at least one processor; and,

[0094] a memory communicatively connected to the at least one processor; wherein,

[0095] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the vehicle longitudinal separation method in the aforementioned method embodiment.

[0096] The embodiment of the present disclosure further provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the vehicle longitudinal separation method in the aforementioned method embodiment.

[0097] The embodiment of the present disclosure also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the vehicle longitudinal separation method in the aforementioned method embodiment.

[0098] Reference below Figure 6 , which shows a schematic diagram of the structure of an electronic device 60 suitable for implementing the embodiment of the present disclosure. The electronic device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0099] like Figure 6As shown, the electronic device 60 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 into a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic device 60 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0100] Typically, the following devices may be connected to the I / O interface 605: input devices 606 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 608 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 609. The communication device 609 may allow the electronic device 60 to communicate with other devices wirelessly or by wire to exchange data. Although the electronic device 60 with various devices is shown in the figure, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0101] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 609, or installed from a storage device 608, or installed from a ROM 602. When the computer program is executed by the processing device 601, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0102] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0103] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0104] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device can implement the solution provided by the method embodiment.

[0105] Alternatively, the computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device can implement the solution provided by the above method embodiment.

[0106] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or configuration server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0107] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0108] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of a unit does not limit the unit itself in some cases. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses".

[0109] It should be understood that various parts of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.

[0110] The above is only a specific implementation of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present disclosure should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for longitudinally dividing a vehicle, characterized in that: include: Obtain all measurement objects corresponding to the target vehicle in the waiting-to-depart state; Based on the trigger information generated by the target vehicle and the following vehicle for the measurement object, a plurality of coordinate points formed by the measurement object in the two-dimensional coordinate system are determined, including: Acquire a time sequence of the target vehicle and the following vehicles passing through the measurement object so as to form a first sequence based on the time sequence, form a second sequence based on the position attributes of all the measurement objects, and form the two-dimensional coordinate system with the first sequence as the horizontal coordinate and the second sequence as the vertical coordinate; and Acquire a time sequence value when a target vehicle or a following vehicle passes through a measurement object and a number value of the measurement object, and determine a coordinate value of the measurement object in a two-dimensional coordinate system based on the time sequence value and the number value, so as to form a coordinate point based on the coordinate value; Performing a linear regression operation on the multiple coordinate points to obtain a linear regression line; Based on the linear regression line, the measurement object is allocated to the target vehicle or a following vehicle adjacent to the target vehicle.

2. The method according to claim 1, characterized in that The step of obtaining all measurement objects corresponding to the target vehicle in the waiting-to-depart state includes: The measurement objects experienced by the target vehicle in the preset measurement area within the time range from entering the waiting state to the vehicle exiting state are obtained, so as to obtain all the measurement objects corresponding to the target vehicle after the waiting state.

3. The method according to claim 1, characterized in that The performing a linear regression operation on the plurality of coordinate points to obtain a linear regression line includes: Performing least squares regression on the coordinate values ​​corresponding to the multiple coordinate points; Based on the results of the least squares regression, the linear regression line is determined.

4. The method according to claim 1, characterized in that: The allocating the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line comprises: Obtaining a first coordinate set contained above the regression line; The measurement object set corresponding to the first coordinate set is confirmed as the measurement objects corresponding to the target vehicle.

5. The method according to claim 4, characterized in that The allocating the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line further includes: Obtaining a second coordinate set contained below the regression line; The measurement object set corresponding to the second coordinate set is confirmed as the measurement objects corresponding to the following vehicle.

6. A vehicle longitudinal splitting device, characterized in that: include: An acquisition module is used to acquire all measurement objects corresponding to the target vehicle after it is in the waiting state; A determination module, used to determine a plurality of coordinate points formed by the measurement object in a two-dimensional coordinate system based on trigger information generated by the target vehicle and the following vehicle for the measurement object, including: Acquire a time sequence of the target vehicle and the following vehicles passing through the measurement object so as to form a first sequence based on the time sequence, form a second sequence based on the position attributes of all the measurement objects, and form the two-dimensional coordinate system with the first sequence as the horizontal coordinate and the second sequence as the vertical coordinate; and Acquire a time sequence value when a target vehicle or a following vehicle passes through a measurement object and a number value of the measurement object, and determine a coordinate value of the measurement object in a two-dimensional coordinate system based on the time sequence value and the number value, so as to form a coordinate point based on the coordinate value; A regression module, used for performing a linear regression operation on the plurality of coordinate points to obtain a linear regression line; An allocating module is used to allocate the measurement object to the target vehicle or a following vehicle adjacent to the target vehicle based on the linear regression line.

7. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5. 8 . A non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method of claim 1 .