CN116895151A

CN116895151A - Vehicle traffic control method, device, computer equipment and storage medium

Info

Publication number: CN116895151A
Application number: CN202310912017.3A
Authority: CN
Inventors: 胡中华; 韦哲宇; 全嘉辉; 刘鸣
Original assignee: Beijing Signalway Technologies Co ltd
Current assignee: Beijing Signalway Technologies Co ltd
Priority date: 2023-07-24
Filing date: 2023-07-24
Publication date: 2023-10-17

Abstract

The application relates to a vehicle traffic control method, a vehicle traffic control device, a computer device and a storage medium. The method comprises the following steps: acquiring first vehicle information of a vehicle to be guided through first image acquisition equipment deployed at a first position; acquiring second vehicle information and third vehicle information of a vehicle to be guided through second image acquisition equipment and first radio frequency identification equipment deployed at a second position respectively; and according to the first vehicle information, the second vehicle information and the third vehicle information, displaying a lane guiding language to the vehicle to be guided so that the vehicle to be guided can drive into the vehicle management station based on the lane guiding language. By adopting the method, the lane guidance language displayed for the to-be-guided vehicle can be more comprehensively and reasonably determined, so that the to-be-guided vehicle can drive into a correct diversion lane according to the lane guidance language, the possibility that the to-be-guided vehicle drives into a wrong diversion lane is reduced, and the passing efficiency of the to-be-guided vehicle passing through the vehicle management station is further improved.

Description

Vehicle traffic control method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to a vehicle traffic control method, apparatus, computer device, and storage medium.

Background

With the development of computers, vehicle management systems are increasingly built in vehicle management stations (such as vehicle toll stations) to store vehicle information to and from vehicles.

In the prior art, vehicles to be guided passing through a vehicle management station are generally random when a diversion lane is selected, but the vehicles to be guided of the diversion lane are randomly selected, and may have a situation of driving into a wrong diversion lane, for example, the vehicles to be guided which cannot correctly identify license plate information drive into an automatic management diversion lane. For the above situation, the vehicle to be guided generally needs to exit from the current diversion lane and then turn to other diversion lanes, and in this process, when there are more vehicles in the diversion lane where the vehicle to be guided is currently driven, congestion of the diversion lane is further caused, which seriously affects the traffic efficiency of the vehicle to be guided passing through the vehicle management station.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a vehicle passage control method, apparatus, computer device, and storage medium capable of improving the passage efficiency of a vehicle management station.

In a first aspect, the present application provides a vehicle passing control method. The method comprises the following steps:

Acquiring first vehicle information of a vehicle to be guided through first image acquisition equipment deployed at a first position;

acquiring second vehicle information and third vehicle information of a vehicle to be guided through second image acquisition equipment and first radio frequency identification equipment deployed at a second position respectively; the first position is located on the main line, and the distance between the first position and the ramp of the vehicle management station is a preset first distance; the second position is positioned on the ramp of the vehicle management station, and the distance between the second position and the shunting lane of the vehicle management station is a preset second distance;

and according to the first vehicle information, the second vehicle information and the third vehicle information, displaying a lane guiding language to the vehicle to be guided so that the vehicle to be guided can drive into the vehicle management station based on the lane guiding language.

In one embodiment, the first vehicle information includes vehicle type information and license plate information; acquiring, by a first image acquisition device disposed at a first location, first vehicle information of a vehicle to be guided, including:

acquiring a first vehicle image of a vehicle to be guided by a first image acquisition device deployed at a first position;

performing vehicle type recognition processing on the first vehicle image to obtain vehicle type information in first vehicle information corresponding to the vehicle to be guided;

And carrying out license plate character recognition processing on the first vehicle image to obtain license plate information in the first vehicle information corresponding to the vehicle to be guided.

In one embodiment, the license plate information includes license plate number information and license plate offset information; license plate character recognition processing is carried out on the first vehicle image to obtain license plate information in first vehicle information corresponding to the vehicle to be guided, and the license plate character recognition processing comprises the following steps:

license plate character recognition processing is carried out on the first vehicle image, so that license plate character information of the first vehicle image is obtained;

determining license plate number information in first vehicle information corresponding to the vehicle to be guided according to the license plate character value of the license plate character information;

and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the license plate character image or the license plate character value in the license plate character information.

In one embodiment, determining license plate offset information in first vehicle information corresponding to a vehicle to be guided according to a license plate character image in license plate character information includes:

determining character semantic features of license plate character information according to license plate character images in the license plate character information;

and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the similarity between the character semantic features of the license plate character information and the preset standard features.

carrying out gray processing on license plate character images in license plate character information to obtain license plate gray images;

and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the size relation between the pixel variance value of the license plate gray level image and the preset variance threshold value.

In one embodiment, determining license plate offset information in first vehicle information corresponding to a vehicle to be guided according to a license plate character value in license plate character information includes:

determining whether an abnormal character value exists in license plate character values of license plate character information;

if the number of the abnormal character values exists, license plate offset information in the first vehicle information corresponding to the vehicle to be guided is determined according to the number of the abnormal character values and the number of license plate character values of intervals between adjacent abnormal character values.

In one embodiment, a lane guidance language displayed to a vehicle to be guided according to first vehicle information, second vehicle information and third vehicle information includes:

judging whether the first vehicle information, the second vehicle information and the third vehicle information are the same or not, and no license plate is stained;

If yes, a first lane guiding language is displayed to the vehicle to be guided; the first lane guiding language is used for guiding the vehicles to be guided to enter the automatic management diversion lane of the vehicle management station;

if not, a second vehicle channel guiding language is displayed to the vehicle to be guided; the second vehicle channel guiding language is used for guiding the vehicles to be guided to drive into the manual management diversion lane of the vehicle management station.

In one embodiment, after the lane guidance language displayed to the vehicle to be guided according to the first vehicle information, the second vehicle information and the third vehicle information, the method further includes:

acquiring fourth vehicle information and fifth vehicle information of a vehicle to be guided through third image acquisition equipment and second radio frequency identification equipment deployed at a third position respectively; the third position is the position of a management channel of the vehicle management station;

determining a traffic state when a vehicle to be guided passes through a vehicle management station according to the management attribute of the management channel, the consistency of license plate information in fourth vehicle information and license plate information in fifth vehicle information, and the consistency of vehicle type information in reference vehicle information and vehicle type information in fifth vehicle information; wherein the reference vehicle information is first vehicle information or second vehicle information.

In a second aspect, the application further provides a vehicle passing control device. The device comprises:

the first information acquisition module is used for acquiring first vehicle information of the vehicle to be guided through first image acquisition equipment deployed at a first position;

the second information acquisition module is used for acquiring second vehicle information and third vehicle information of the vehicle to be guided through second image acquisition equipment and first radio frequency identification equipment deployed at a second position respectively; the first position is located on the main line, and the distance between the first position and the ramp of the vehicle management station is a preset first distance; the second position is positioned on the ramp of the vehicle management station, and the distance between the second position and the shunting lane of the vehicle management station is a preset second distance;

and the vehicle guiding module is used for displaying a lane guiding language to the vehicle to be guided according to the first vehicle information, the second vehicle information and the third vehicle information so that the vehicle to be guided can drive into the vehicle management station based on the lane guiding language.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:

According to the vehicle passing control method, the device, the computer equipment and the storage medium, the first vehicle information, the second vehicle information and the third vehicle information of the vehicle to be guided are obtained through the image acquisition equipment which is arranged at the position of entering the ramp of the vehicle management station from the main line, the image acquisition equipment and the radio frequency identification equipment which are arranged at the position of entering the split lane of the vehicle management station from the ramp of the vehicle management station, the guiding language displayed for the vehicle to be guided is determined according to the first vehicle information, the second vehicle information and the third vehicle information, the plurality of vehicle information (namely the first vehicle information, the second vehicle information and the radio frequency identification equipment) is determined based on the acquisition equipment which is arranged at a plurality of positions, so that the lane guiding language displayed for the vehicle to be guided can be more comprehensively and reasonably determined, the vehicle to be guided can be driven into the correct split lane according to the lane guiding language, the possibility that the vehicle to be guided is driven into the wrong split lane is reduced, and the passing efficiency of the vehicle to be guided through the vehicle management station is further improved.

Drawings

Fig. 1 is an application environment diagram of a vehicle passing control method provided in the present embodiment;

fig. 2 is a flow chart of a first vehicle passing control method according to the present embodiment;

fig. 3 is a schematic flow chart of determining license plate information according to the present embodiment;

fig. 4 is a schematic flow chart of determining a lane guidance according to the present embodiment;

fig. 5 is a flow chart of a second vehicle passing control method according to the present embodiment;

fig. 6 is a schematic diagram of a toll station vehicle passing control method according to the present embodiment;

fig. 7 is a block diagram showing the construction of a first vehicle passage control apparatus according to the present embodiment;

fig. 8 is a block diagram showing the construction of a second vehicle passage control apparatus according to the present embodiment;

fig. 9 is a block diagram showing the construction of a third vehicle passage control device according to the present embodiment;

fig. 10 is an internal structure diagram of a computer device according to the present embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The vehicle passing control method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. The first position 110 (i.e. a main portal) is provided with a first image acquisition device 111, the second position 120 (i.e. a ramp portal) is provided with a second image acquisition device 121, a first radio frequency identification device 122 and a lane guide screen 123, and the vehicle management station is provided with a vehicle management system 130. When the vehicle to be guided 100 needs to enter the vehicle management station, the main road passes through the first position 110 to enter the ramp, and at this time, the first image acquisition device 111 disposed on the first position 110 acquires the first vehicle information of the vehicle to be guided and sends the first vehicle information to the vehicle management system 130; after the vehicle 100 to be guided passes through the ramp, the vehicle enters the diversion lane through the second position 120, at this time, the second image acquisition device 121 disposed on the second position 120 acquires second vehicle information of the vehicle to be guided, the first radio frequency identification device 122 acquires third vehicle information of the vehicle to be guided, and sends the second vehicle information and the third vehicle information to the vehicle management system 130; the vehicle management system 130 determines a lane guidance presented to the vehicle to be guided based on the received first vehicle information, second vehicle information, and third vehicle information, and presents the lane guidance on the guidance screen 123 for the vehicle to be guided to drive into the vehicle management station based on the lane guidance. The vehicle management system 130 may be mounted on a terminal or a server in a vehicle management station. The terminal can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things equipment and portable wearable equipment, and the internet of things equipment can be smart speakers, smart televisions, smart air conditioners, smart vehicle-mounted equipment and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server may be implemented by a stand-alone server or a server cluster formed by a plurality of servers.

In one embodiment, as shown in fig. 2, a vehicle passing control method is provided, and the method is applied to the vehicle management system in fig. 1 for illustration, and specifically may include the following steps:

s201, acquiring first vehicle information of a vehicle to be guided through a first image acquisition device deployed at a first position.

The first position is located on the main line, and the distance between the first position and the ramp of the vehicle management station is a preset first distance. The preset first distance should be not less than 1km. For example, the box labeled 110 shown in FIG. 1 characterizes the location.

The first image capturing device may be a device for capturing vehicle information of a vehicle to be guided passing through the first position, alternatively, the first image capturing device may be a camera, a video recorder, or one or more first image capturing devices, which is not limited in this aspect of the application. It should be noted that the first image capturing device may be disposed on a portal (such as a main line portal) corresponding to the first position.

Wherein the vehicle to be guided may be a vehicle that needs to be guided into a correct lane. The first vehicle information includes vehicle type information and license plate information. The vehicle type information may be the type of the vehicle to be guided, such as a class 1 passenger car (i.e., a passenger car with 9 persons and below), a class 2 passenger car (i.e., a passenger car with 10-19 persons), a class 3 passenger car (i.e., a passenger car with 39 persons and below), a class 4 passenger car (i.e., a passenger car with more than 40 persons), a class 1 truck (i.e., a truck with 2 axles and a maximum allowable total mass of less than 4500 kg), a class 2 truck (i.e., a truck with 2 axles and a maximum allowable total mass of not less than 4500 kg), a class 3 truck (i.e., a truck with 3 axles), a class 4 truck (i.e., a truck with 4 axles), a class 5 truck (i.e., a truck with 5 axles), a class 6 truck (i.e., a truck with 6 axles), a class 1 special vehicle (i.e., a special vehicle with 2 axles and a maximum allowable total mass of less than 4500 kg), a class 2 vehicle (i.e., a special vehicle with 2 axles and a maximum allowable total mass of not less than 4500 kg), a class 3 special vehicle (i.e., a special vehicle with 4 axles) and a special vehicle (i.e., a special vehicle with 5).

Alternatively, the present embodiment may acquire a first vehicle image by a first image acquisition device disposed at a first location, and transmit the acquired first vehicle image to a vehicle management system, and the vehicle management system determines first vehicle information of a vehicle to be guided based on the first vehicle image. The first image acquisition device may directly extract the first vehicle information from the acquired first vehicle image, and send the extracted first vehicle information to the vehicle management system, where the vehicle management system may directly acquire the first vehicle information corresponding to the guided vehicle from the first image acquisition device.

Optionally, the process of extracting the first vehicle information according to the first vehicle image acquired by the first image acquisition device, when completed by the vehicle management system, may be that the first image acquisition device deployed at the first position acquires the first vehicle image of the vehicle to be guided; performing vehicle type recognition processing on the first vehicle image to obtain vehicle type information in first vehicle information corresponding to the vehicle to be guided; and carrying out license plate character recognition processing on the first vehicle image to obtain license plate information in the first vehicle information corresponding to the vehicle to be guided.

Specifically, at least one first vehicle image of a vehicle to be guided is acquired through first image acquisition equipment deployed at a first position, and vehicle type recognition processing is carried out on the first vehicle image to acquire first vehicle type information in first vehicle corresponding first vehicle information; and carrying out license plate character recognition processing on the first vehicle image to obtain license plate character images corresponding to license plates in the first vehicle image, comparing the license plate character images with preset standard character images for each license plate character image to obtain license plate character values corresponding to the license plate character images, taking all license plate character values corresponding to the license plate character images as license plate character recognition results corresponding to the first vehicle image, and taking the continuously preset number of identical license plate character recognition results as first license plate information in the first vehicle information when the continuously preset number of license plate character recognition results corresponding to the first vehicle image are identical.

Optionally, the vehicle type recognition processing is performed on the first vehicle image to obtain a specific implementation manner of the first vehicle type information in the first vehicle information corresponding to the first vehicle, which may be that, for each first vehicle image, the vehicle type recognition processing is performed on the first vehicle image, a vehicle contour in the first vehicle image is detected, a vehicle type recognition result in the first vehicle information corresponding to the vehicle to be guided is determined and obtained according to the vehicle contour, and when the vehicle type recognition results corresponding to the continuous preset multiple first vehicle images are identical, the continuous preset multiple identical vehicle type recognition results are used as the first vehicle type information in the first vehicle information. The method may also include performing fusion processing on each obtained first vehicle image (for example, 3 first vehicle images are obtained by scanning and snap shooting in 1s through a high frame rate camera, the three vehicle images respectively include head information, in-vehicle information and tail information of a vehicle to be guided, the head information, in-vehicle information and tail information in the three vehicle images are sequentially spliced and fused), obtaining a complete vehicle image of the vehicle to be guided, performing vehicle type recognition processing based on the complete vehicle image, recognizing vehicle type features (for example, vehicle length, vehicle axle number, dangerous chemical identification and the like) from the complete vehicle image, and determining the first vehicle type information in the first vehicle information based on the vehicle type features and a preset vehicle type recognition rule (for example, the vehicle type of the vehicle to be guided with the vehicle length being more than 6000mm and the vehicle axle number of 3 is determined to be a 3 types of trucks).

Optionally, the manner of acquiring the first vehicle image of the vehicle to be guided by the first image acquisition device disposed at the first position may be that when the vehicle to be guided enters the recording range of the first image acquisition device disposed at the first position, the first image acquisition device acquires the running video of the vehicle to be guided, and each frame of running video is taken as the first vehicle image of the vehicle to be guided acquired. The first image acquisition device may also acquire a first vehicle image of the vehicle to be guided by capturing the vehicle to be guided when the vehicle to be guided passes through a detection radar or a touch coil disposed near the first position.

It should be noted that, in this embodiment, there may be only one or multiple first image capturing devices disposed at the first position. When a plurality of first image acquisition devices exist, the head images and the side images of the vehicles to be guided can be acquired respectively, and the side images are subjected to vehicle type recognition processing to obtain the vehicle type information in the first vehicle information corresponding to the vehicles to be guided; and carrying out license plate character recognition processing on the head image to obtain license plate information in the first vehicle information corresponding to the vehicle to be guided.

It should be noted that, when there are multiple first vehicle images (including a vehicle head image and a vehicle side image) of a vehicle to be guided, the embodiment may also identify, through a matching algorithm, the vehicle head image and the vehicle side image of the same vehicle to be guided from the first vehicle images, perform fusion processing on license plate information corresponding to the vehicle head image and vehicle type information corresponding to the vehicle side image, and use a fusion result (such as a fusion result of license plate information-vehicle type information) as the first vehicle information.

S202, acquiring second vehicle information and third vehicle information of a vehicle to be guided through a second image acquisition device and a first radio frequency identification device which are deployed at a second position respectively.

The second position is located on the ramp of the vehicle management station, and the distance between the second position and the shunting lane of the vehicle management station is a preset second distance. For example, the box labeled 120 shown in FIG. 1 characterizes the location.

The second image acquisition device may be a device for acquiring vehicle information of the vehicle to be guided passing through the second position. Alternatively, the second image acquisition device may be an image acquisition device disposed on a second position corresponding portal. It should be noted that one or more second image capturing devices may be disposed, and the type of the second image capturing device may be the same as or different from the type of the first image capturing device, which is not limited in the present application. The second vehicle information may be vehicle type information and license plate information acquired through the second image acquisition device.

The first radio frequency identification device may be an identification device for identifying vehicle information of the vehicle to be guided through the second location. Alternatively, the first radio frequency identification device may be an electronic toll collection system antenna device (Electronic Toll Collection, ETC).

The third vehicle information may be license plate information and vehicle type information stored in a pass card loaded in the vehicle to be guided, and the third vehicle information is obtained based on the identification of the first radio frequency identification device. Alternatively, the access card may be an ETC card or a highway access compound card (Compound Pass Card, CPC). It should be noted that, the ETC card is generally loaded in an On Board Unit (OBU), and the first radio frequency identification device needs to interact with the On board Unit to obtain vehicle information of the vehicle to be guided stored in the ETC card.

Optionally, the manner of acquiring the second vehicle information of the vehicle to be guided by the second image capturing device disposed at the second position is similar to the manner of acquiring the first vehicle information of the vehicle to be guided by the first image capturing device disposed at the first position in step S201, which is not described herein.

Alternatively, the manner of acquiring the third vehicle information of the vehicle to be guided by the first radio frequency identification device disposed at the second location may be that the first radio frequency identification device disposed at the second location identifies a pass card loaded in the vehicle to be guided, and vehicle information (i.e. vehicle type information and license plate information) of the vehicle to be guided is identified from the pass card as the third vehicle information.

And S203, according to the first vehicle information, the second vehicle information and the third vehicle information, displaying a lane guidance language to the vehicle to be guided, so that the vehicle to be guided can drive into the vehicle management station based on the lane guidance language.

The lane guidance language is used for guiding the vehicle to carry out a sentence of a corresponding diversion lane.

The vehicle management station may be a station for serving or managing a vehicle to be guided, or alternatively, a toll station on an expressway.

Optionally, according to the first vehicle information, the second vehicle information and the third vehicle information, consistency among the first vehicle information, the second vehicle information and the third vehicle information is determined, and when the consistency among the vehicle information in the first vehicle information, the second vehicle information and the third vehicle information is detected, a normally-running lane guidance language displayed for the vehicle to be guided is displayed; when any vehicle information in the first vehicle information, the second vehicle information and the third vehicle information is detected to be different from other vehicle information (for example, the vehicle type information in the first vehicle information is a three-type truck, the vehicle type information in the second vehicle information and the vehicle type information in the third vehicle information is a six-type passenger car), a lane guidance message of 'vehicle information abnormality, manual management of a diversion lane (i.e. a lane based on manually serving or managing the vehicle to be guided, such as an MTC charging lane or an ETC/MTC mixed lane)', is displayed to the vehicle to be guided, and the vehicle to be guided can select a proper diversion lane to drive into a vehicle management station according to the displayed lane guidance message.

It should be noted that, when the vehicle information in the first vehicle information, the second vehicle information, and the third vehicle information of the vehicle to be guided are all consistent, only the lane guidance language of normal traffic may be displayed, and the vehicle to be guided is not required to be guided into the manually managed split lane or the automatically managed split lane (i.e., the lane that can automatically recognize the vehicle information and serve or manage the vehicle to be guided, such as the ETC toll lane), and may be determined by the owner of the vehicle to be guided.

According to the vehicle passing control method, the image acquisition equipment which is arranged at the position of entering the ramp of the vehicle management station from the main line, the image acquisition equipment and the radio frequency identification equipment which are arranged at the position of entering the diversion lane of the vehicle management station from the ramp of the vehicle management station, the first vehicle information, the second vehicle information and the third vehicle information of the vehicle to be guided are obtained, the guiding language displayed for the vehicle to be guided is determined according to the first vehicle information, the second vehicle information and the third vehicle information, the plurality of vehicle information (namely the first vehicle information, the second vehicle information and the third vehicle information) is determined based on the acquisition equipment (namely the image acquisition equipment and the radio frequency identification equipment) which are arranged at a plurality of positions, and the lane guiding language displayed for the vehicle to be guided can be more comprehensively and reasonably determined, so that the vehicle to be guided can enter the correct diversion lane according to the lane guiding language, the possibility that the vehicle to be guided is driven into the wrong diversion lane is reduced, and the passing efficiency of the vehicle to be guided passing through the vehicle management station is further improved.

It should be noted that, although the introduction of the lane guidance language can help the vehicle to be guided to drive into the appropriate diversion lane, the lane guidance language only plays a role in guiding the vehicle to be guided, and cannot force the vehicle to be guided to drive into a certain type of diversion lane, so, in order to avoid the situation that the vehicle to be guided does not follow the guidance of the lane guidance language, for example, if the lane guidance language of a certain vehicle to be guided is guiding and driving into a manually managed diversion lane, but the vehicle to be guided finally drives into an automatically managed diversion lane, the embodiment may further increase the determination of the traffic state of the vehicle to be guided after the lane guidance language displayed to the vehicle to be guided according to the first vehicle information, the second vehicle information and the third vehicle information, that is, determine whether the vehicle to be guided follows the guidance of the lane guidance language and drives into the corresponding lane correctly. Optionally, after the lane guidance language displayed to the vehicle to be guided according to the first vehicle information, the second vehicle information and the third vehicle information, the method further includes: acquiring fourth vehicle information and fifth vehicle information of a vehicle to be guided through third image acquisition equipment and second radio frequency identification equipment deployed at a third position respectively; and determining the traffic state of the vehicle to be guided when passing through the vehicle management station according to the management attribute of the management channel, the consistency of the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency of the vehicle type information in the reference vehicle information and the vehicle type information in the fifth vehicle information.

The third position is the position of a management channel of the vehicle management station, and the management channel is a lane for manual management or automatic management in the vehicle management station. The reference vehicle information is the first vehicle information or the second vehicle information.

The third image acquisition device may be a device for acquiring vehicle information of the vehicle to be guided passing through the third position. Alternatively, the third image capturing device may be an image capturing device deployed on a third position corresponding to a portal or a lifter bar intercepting the vehicle to be guided. It should be noted that one or more third image capturing devices may be disposed, and the type of the third image capturing device may be the same as or different from the type of the first image capturing device, which is not limited in the present application. The fourth vehicle information may be license plate information acquired by the third image acquisition device. It should be noted that, since the management channels in the vehicle management station are adjacent and close, and the management channels are narrow, the third image capturing device cannot accurately capture the complete image of each vehicle (especially for a large truck or a passenger car), and therefore, the fourth vehicle information may only include license plate information of the vehicle to be guided.

Wherein the second radio frequency identification device may be an identification device for identifying vehicle information of the vehicle to be guided through the third location. It should be noted that the type of the second rfid device may be the same as or different from the type of the first rfid device, which is not limited by the present application. The main function of the arrangement of the plurality of radio frequency identification devices is that when any radio frequency identification device is damaged, vehicle information of a vehicle to be guided can be obtained through other radio frequency identification devices. The fifth vehicle information may be license plate information and vehicle type information stored in a pass card loaded in the vehicle to be guided, the fifth vehicle information being recognized based on the second radio frequency recognition device.

Optionally, the manner of acquiring the fourth vehicle information of the vehicle to be guided by the third image acquisition device disposed at the third position is similar to the manner of acquiring the first vehicle information of the vehicle to be guided by the first image acquisition device disposed at the first position in step S201; the manner of acquiring the fifth vehicle information of the vehicle to be guided by the second rfid device disposed at the third position is similar to the manner of acquiring the third vehicle information of the vehicle to be guided by the first rfid device disposed at the second position in step S202, and the description of the present application is omitted here.

Optionally, according to the consistency of the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information of the vehicle to be guided, judging whether the license plate information of the vehicle to be guided is abnormal, and simultaneously, according to the consistency of the vehicle type information in the reference vehicle information and the vehicle type information in the fifth vehicle information, judging whether the vehicle type information of the vehicle to be guided is abnormal. When the license plate information and the vehicle type information of the vehicle to be guided are not abnormal, the vehicle to be guided can be proved to drive into any management channel, so that the traffic state of the vehicle to be guided when passing through the vehicle management station can be directly determined to be the same no matter the management attribute of the management channel into which the vehicle to be guided drives; when the license plate information and/or the vehicle type information of the vehicle to be guided are abnormal, the vehicle to be guided can only be proved to enter a management channel with the management attribute of manual management, at the moment, whether the management attribute of the management channel into which the vehicle to be guided enters is manually managed is judged, if so, special condition processing (such as payment service through manual operation) is carried out on the vehicle to be guided according to the abnormal condition of the vehicle to be guided; if not, the situation that the vehicle to be guided should enter the manual management diversion lane and finally enter the automatic management diversion lane is proved, at this time, the condition that the vehicle to be guided passes through the automatic management diversion lane forcibly (if the vehicle passes through without paying operation) possibly belongs to illegal behaviors, and in this case, the traffic state of the vehicle to be guided when passing through the vehicle management station is determined according to the abnormal condition of the license plate information and/or the vehicle type information of the vehicle to be guided, namely, if the license plate information of the vehicle to be guided is abnormal, but the vehicle type information is not abnormal, the traffic state of the vehicle to be guided when passing through the vehicle management station is determined as license plate different and vehicle type identical; if the license plate information of the vehicle to be guided is not abnormal, but the vehicle type information is abnormal, determining that the traffic state of the vehicle to be guided when passing through the vehicle management station is 'same license plate and different vehicle types'; if the license plate information and the vehicle type information of the vehicle to be guided are abnormal, determining that the traffic state of the vehicle to be guided when passing through the vehicle management station is that the license plate and the vehicle type are different. Finally, the vehicle information of the vehicle to be guided and the traffic state of the vehicle to be guided are recorded, and evidence is provided for subsequent auditing.

Fig. 3 is a schematic flow chart of determining license plate information in an embodiment. In this embodiment, when the vehicle to be guided passes through a muddy road or encounters bad weather during running, the license plate of the vehicle to be guided will be affected, such as a muddy dirty license plate number, so that license plate information cannot be accurately identified, and thus the vehicle to be guided may not pass through a current selected split lane (such as an automatic management split lane), and further congestion of the split lane is caused.

S301, license plate character recognition processing is conducted on the first vehicle image, and license plate character information of the first vehicle image is obtained.

Optionally, license plate character recognition processing is performed on the first vehicle image, each license plate character image corresponding to a license plate in the first vehicle image is obtained through recognition, for each license plate character image, the license plate character image is compared with a preset standard character image to obtain a license plate character value corresponding to the license plate character image, and the license plate character image and the license plate character value are used as license plate character information of the first vehicle image together.

S302, license plate number information in first vehicle information corresponding to the vehicle to be guided is determined according to license plate character values of the license plate character information.

Optionally, according to each license plate character value of the determined license plate character information, the license plate character values are used as license plate number information in the first vehicle information corresponding to the vehicle to be guided.

S303, license plate offset information in the first vehicle information corresponding to the vehicle to be guided is determined according to the license plate character image or the license plate character value in the license plate character information.

Optionally, a plurality of ways of determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided are performed according to the license plate character image or the license plate character value in the license plate character information.

One optional implementation manner may be that character semantic features of license plate character information are determined according to license plate character images in the license plate character information; and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the similarity between the character semantic features of the license plate character information and the preset standard features.

Specifically, according to license plate character images in license plate character information, semantic feature extraction is performed on the license plate character images based on a deep learning model for each license plate character image, so that character semantic features (such as specific license plate digital features or license plate letter features) of the license plate character information are determined, meanwhile, similarity (namely cosine similarity, cosine similarity=1-cosine distance between the character semantic features and preset standard features) between the character semantic features and preset standard features is calculated, when the similarity is lower than a certain similarity threshold, it is proved that the character semantic features are almost not similar to the preset standard features, and therefore license plate offset information exists in first vehicle information corresponding to the vehicle to be guided; otherwise, the vehicle to be guided is proved to have no license plate pollution.

Another alternative implementation manner may be that gray processing is performed on the license plate character image in the license plate character information to obtain a license plate gray image; and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the size relation between the pixel variance value of the license plate gray level image and the preset variance threshold value.

Specifically, for each license plate character image in the license plate character information, gray processing is required to be carried out on the license plate character image to obtain a license plate gray image of the license plate character image, pixel variance values among all pixel points in the license plate gray image are calculated, the size relation between the pixel variance values of the license plate gray image and a preset variance threshold is judged, when the pixel variance values are smaller than the preset variance threshold, the smaller spacing among the pixel points is proved, so that the license plate character image is likely to be fuzzy, and license plate offset information exists in first vehicle information corresponding to the vehicle to be guided; otherwise, the vehicle to be guided is proved to have no license plate pollution.

Because in practical application, only one license plate character has fewer dirty situations, if an abnormal character value is used as a condition for judging license plate dirty information in first vehicle information corresponding to the to-be-guided vehicle, a large number of dirty information false alarm situations can possibly occur, so in order to effectively reduce the dirty information false alarm situations, an alternative implementation manner of determining license plate dirty information in the first vehicle information corresponding to the to-be-guided vehicle in this embodiment can be to determine whether the abnormal character value exists in the license plate character value of the license plate character information; if the number of the abnormal character values exists, license plate offset information in the first vehicle information corresponding to the vehicle to be guided is determined according to the number of the abnormal character values and the number of license plate character values of intervals between adjacent abnormal character values.

Specifically, whether an abnormal character value exists in license plate character values of license plate character information or not is determined, if the abnormal character value does not exist, the license plate character information is proved to be recognized, and therefore no license plate offset information exists in first vehicle information corresponding to the to-be-guided vehicle; if the abnormal character value exists, the condition that license plate offset is possibly existed in the first vehicle information corresponding to the vehicle to be guided is proved, so that whether the number of the abnormal character value (namely, the character value which cannot be accurately identified is generally expressed by 'x') exceeds an abnormal character number threshold (such as 2) is further determined, if the number of the abnormal character value exceeds the abnormal character number threshold, the condition that more abnormal character values which cannot be accurately identified exist in the vehicle to be guided is proved, and therefore license plate offset information exists in the first vehicle information corresponding to the vehicle to be guided is determined; if the number of the abnormal character values does not exceed the abnormal character number threshold, the abnormal character values in the vehicle to be guided are proved to have smaller influence on the identification of license plate information of the vehicle to be guided, so that whether the number of the license plate character values at intervals between adjacent abnormal character values is larger than the interval number threshold (like 3) or not can be further judged, if not, the fact that the interval distance between the adjacent abnormal character values is smaller is proved, and the final identification result of the license plate information of the vehicle to be guided is possibly influenced; if so, the fact that the interval distance between two adjacent abnormal character values is larger is proved, and the influence on the final recognition result of the license plate information of the vehicle to be guided is smaller is proved.

According to the license plate information determining method, license plate character recognition processing is conducted on the first vehicle image, the license plate character image and the license plate character value of the first vehicle image are determined, and license plate offset information in the first vehicle information corresponding to the vehicle to be guided is determined based on the license plate character image or the license plate character value.

FIG. 4 is a flow diagram of determining lane guidance in one embodiment. In this embodiment, in order to improve the efficiency of vehicle passing in the vehicle management station and reduce the situation that the vehicle enters the wrong diversion lane, a lane guiding language displayed to the vehicle to be guided is introduced, and the vehicle is further guided to enter the right diversion lane by the lane guiding language, and specifically, this embodiment provides an alternative way for determining the lane guiding language, which includes the following steps:

s401, acquiring first vehicle information, second vehicle information and third vehicle information.

S402, judging whether the first vehicle information, the second vehicle information and the third vehicle information are the same or not, and no license plate is stained.

Optionally, judging whether license plate information in first vehicle information, license plate information in second vehicle information and license plate information in third vehicle information of the to-be-guided vehicle are identical, and judging whether vehicle type information in the first vehicle information, vehicle type information in the second vehicle information and vehicle type information in the third vehicle information are identical at the same time, if the license plate information in the first vehicle information, the second vehicle information and the license plate information in the third vehicle information are identical, and if the to-be-guided vehicle does not have license plate offset information, continuing to execute step S403; if the license plate information and/or the vehicle type information in the first vehicle information, the second vehicle information and the third vehicle information are different, that is, the license plate information and/or the vehicle type information of any two vehicle information in the first vehicle information, the second vehicle information and the third vehicle information are different, it is proved that the license plate information and/or the vehicle type information of the vehicle to be guided is/are incorrectly identified, so that the step S404 is continued.

And S403, if yes, displaying a first lane guiding language to the vehicle to be guided.

The first lane guiding language is used for guiding the vehicles to be guided to drive into the automatic management diversion lane of the vehicle management station.

Optionally, when the first vehicle information, the second vehicle information and the third vehicle information are the same and no license plate is stained, the vehicle information of the to-be-guided vehicle is proved to be successfully recognized by the vehicle management station and displayed to the to-be-guided vehicle in a first lane guiding language (such as XXX license plate number information, please normally pass).

And S404, if not, displaying a second vehicle guide language to the vehicle to be guided.

The second vehicle channel guiding language is used for guiding the vehicles to be guided to drive into the manual management diversion lane of the vehicle management station.

Optionally, when there is a difference among the first vehicle information, the second vehicle information and the third vehicle information and there is a possibility of license plate fouling, the vehicle information of the to-be-guided vehicle is proved to be not successfully recognized by the vehicle management station, and a second lane guiding language (such as please drive into a manual management channel) displayed to the to-be-guided vehicle is displayed.

It should be noted that, depending on the difference between the first vehicle information, the second vehicle information, and the third vehicle information of the vehicle to be guided, and the license plate contamination situation, the category of the second lane guidance language may also be increased.

Specifically, when license plate information in the first vehicle information and/or the second vehicle information of the vehicle to be guided is missing, it is proved that the vehicle to be guided may be a temporary license plate, so that the second vehicle guidance language may be displayed as: "temporary license plate vehicle, please walk the artificial lane".

When license plate information in first vehicle information, license plate information in second vehicle information and license plate information in third vehicle information of the to-be-guided vehicle are different, or license plate dirty information exists in the first vehicle information and/or the second vehicle information, the license plate information of the to-be-guided vehicle is proved to be unable to be automatically and correctly identified by a vehicle management station, and the to-be-guided vehicle is required to enter a manual management diversion lane to be managed by manual work, so that the second vehicle guiding language can be displayed as follows: "XXX (i.e. license plate information in the first vehicle information), license plate is abnormal, please walk the artificial lane.

When the vehicle type information in the first vehicle information, the vehicle type information in the second vehicle information and the vehicle type information in the third vehicle information of the to-be-guided vehicle are different, the vehicle type information of the to-be-guided vehicle is proved to be incapable of being automatically and correctly identified by the vehicle management station, and the to-be-guided vehicle is required to enter a manual management diversion lane to be managed by manual work, so that the second vehicle guide language can be displayed as follows: "XXX (i.e., license plate information in the first vehicle information, the second vehicle information, or the third vehicle information), the vehicle type is abnormal, please walk the artificial lane.

According to the method for determining the lane guidance languages, different lane guidance languages are determined according to the consistency among the first vehicle information, the second vehicle information and the third vehicle information and whether license plate offset exists or not, namely, when the first vehicle information, the second vehicle information and the third vehicle information of the vehicles to be guided are the same and the license plate offset exists, the vehicle information of the vehicles to be guided can be accurately identified, so that the vehicles to be guided can drive into an automatic management diversion lane, otherwise, the vehicle information of the vehicles to be guided cannot be accurately identified, only the vehicles to be guided can drive into a manual management diversion lane, the lane guidance language of the vehicles to be guided is accurately determined based on various factors (namely, the first vehicle information, the second vehicle information and the third vehicle information), and the vehicles to be guided can be guided into the correct diversion lane according to the lane guidance language, so that the possibility that the vehicles to be guided drive into the wrong diversion lane is reduced, and the passing efficiency of the vehicles to be guided through a vehicle management station is further improved.

In one embodiment, this embodiment gives an alternative way of controlling the traffic of a vehicle, and the method is described as being applied to a server. As shown in fig. 5, the method comprises the steps of:

s501, acquiring a first vehicle image of a vehicle to be guided through a first image acquisition device deployed at a first position.

S502, performing vehicle type recognition processing on the first vehicle image to obtain vehicle type information in the first vehicle information corresponding to the vehicle to be guided.

S503, license plate character recognition processing is carried out on the first vehicle image, and license plate character information of the first vehicle image is obtained.

S504, license plate number information in the first vehicle information corresponding to the vehicle to be guided is determined according to the license plate character value of the license plate character information.

S505, license plate offset information in first vehicle information corresponding to the vehicle to be guided is determined according to license plate character images or license plate character values in the license plate character information.

Optionally, the license plate offset information in the first vehicle information corresponding to the vehicle to be guided is determined in various ways according to the license plate character image or the license plate character value in the license plate character information, which is not limited herein.

One of the alternatives may be: determining character semantic features of license plate character information according to license plate character images in the license plate character information; and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the similarity between the character semantic features of the license plate character information and the preset standard features.

Another alternative may be: carrying out gray processing on license plate character images in license plate character information to obtain license plate gray images; and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the size relation between the pixel variance value of the license plate gray level image and the preset variance threshold value.

Yet another alternative may be: determining whether an abnormal character value exists in license plate character values of license plate character information; if the number of the abnormal character values exists, license plate offset information in the first vehicle information corresponding to the vehicle to be guided is determined according to the number of the abnormal character values and the number of license plate character values of intervals between adjacent abnormal character values.

S506, acquiring second vehicle information and third vehicle information of the vehicle to be guided through a second image acquisition device and a first radio frequency identification device which are deployed at a second position respectively.

The first position is located on the ramp of the vehicle management station, and the distance between the first position and the shunting lane of the vehicle management station is a preset second distance; the second position is located on the ramp of the vehicle management station, and the distance between the second position and the shunting lane of the vehicle management station is a preset second distance.

S507, judging whether the first vehicle information, the second vehicle information and the third vehicle information are the same, and no license plate is stained, if yes, executing step S508, and if not, executing step S509.

And S508, if yes, displaying a first lane guiding language to the vehicle to be guided, and continuing to execute the step S510.

S509, if not, a second road guidance language is displayed to the vehicle to be guided, and step S510 is continuously executed.

S510, acquiring fourth vehicle information and fifth vehicle information of the vehicle to be guided through a third image acquisition device and a second radio frequency identification device which are deployed at a third position respectively.

The third position is the position of the management channel of the vehicle management station.

S511, determining the passing state of the vehicle to be guided when passing through the vehicle management station according to the management attribute of the management channel, the consistency of the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency of the vehicle type information in the reference vehicle information and the vehicle type information in the fifth vehicle information.

Wherein the reference vehicle information is first vehicle information or second vehicle information.

Illustratively, taking the example that the vehicle management station is a toll station on a highway, a schematic diagram of a toll station vehicle passing control method is shown in fig. 6. If the vehicle to be guided has the requirement of entering a toll station on a highway, the vehicle enters the ramp through a main line portal arranged at the joint of the main line and the ramp, then enters a toll lane through a ramp portal arranged at the joint of the ramp and the toll lane, and finally enters the toll station through the toll lane.

The main wire portal is provided with vehicle type recognition equipment and license plate recognition equipment (the vehicle type recognition equipment and the license plate recognition equipment can be used as first image acquisition equipment); the ramp portal frame is provided with vehicle type recognition equipment, license plate recognition equipment (the vehicle type recognition equipment and the license plate recognition equipment can be used as second image acquisition equipment), ETC antenna equipment (namely first radio frequency recognition equipment) and a guide screen for guiding the vehicle to enter a correct toll lane; a license plate recognition device (namely a third image acquisition device) and an ETC antenna device (namely a second radio frequency recognition device) are arranged in front of the toll station (such as a toll station portal arranged in a management channel, a toll station L-shaped rod, or a lifting rod arranged between a toll window and an outbound lane); a charging system is arranged in the toll station and is specially used for storing and analyzing the acquired vehicle information of the vehicle to be guided and outputting a guiding statement corresponding to the vehicle to be guided based on the analysis result of the vehicle information; toll lanes include ETC lanes (i.e., automated management diversion lanes) and manual lanes (i.e., manual management diversion lanes).

When a vehicle passes through the main line portal, vehicle type recognition equipment deployed on the main line portal can recognize and obtain vehicle type information (namely first vehicle type information) of the vehicle to be guided, and license plate recognition equipment can recognize and obtain license plate number information (namely first license plate number information) and license plate character evaluation results (namely first license plate offset information) of the vehicle to be guided. And storing the vehicle type information, the license plate number information and the license plate character evaluation result into a main line portal database, and simultaneously, transmitting the vehicle type information, the license plate number information and the license plate character evaluation result into a charging system by the main line portal database.

When a vehicle passes through the ramp portal frame, vehicle type recognition equipment deployed on the ramp portal frame can recognize and obtain vehicle type information (namely second vehicle type information) of the vehicle to be guided, license plate recognition equipment can recognize and obtain license plate number information (namely second vehicle number information) and license plate character evaluation results (namely second vehicle plate offset information) of the vehicle to be guided, and ETC antenna equipment can recognize and obtain OBU/CPC (on-board unit/on-board unit) card information (namely third vehicle information). And storing the vehicle type information, the license plate number information, the license plate character evaluation result and the OBU/CPC card internal information into a ramp portal database, and simultaneously, transmitting the vehicle type information, the license plate number information, the license plate character evaluation result and the OBU/CPC card internal information into a charging system by the ramp portal database.

The toll gate system performs data analysis according to the received vehicle type information, license plate number information and license plate character evaluation result sent by the main line portal database, and the vehicle type information, license plate number information, license plate character evaluation result and information in the OBU/CPC card sent by the ramp portal database, so as to obtain a guide statement displayed on the vehicle to be guided, and displays the guide statement on a guide screen between the toll lane and the ramp to guide the abnormal vehicle to be guided into an artificial lane, guide the normal vehicle to be guided into normal running (for example, the artificial lane can be selected and the ETC lane can be selected), and meanwhile, the vehicle to be guided with the license plate dirty can be reminded of timely cleaning the license plate according to the license plate character evaluation result (for example, the license plate character evaluation result is that the license plate is dirty).

When a vehicle enters a toll station through a toll lane, license plate recognition equipment deployed in front of the toll station can recognize license plate information (namely fourth vehicle information) of the vehicle to be guided, and ETC antenna equipment can recognize and acquire information (namely fifth vehicle information) in an OBU/CPC card. And storing the license plate number information and the information in the OBU/CPC card into a toll station database, and simultaneously, transmitting the license plate number information and the information in the OBU/CPC card into a toll system by the toll station database.

The charging system determines the traffic state of each vehicle to be guided according to the first vehicle type information, the first vehicle license plate information, the second vehicle type information, the second vehicle license plate information, the fourth vehicle information and the fifth vehicle information of the vehicle to be guided, namely whether the vehicle to be guided with abnormal vehicle type and/or license plate normally drives into the artificial lane.

Aiming at vehicles to be guided, which are abnormal in vehicle types and/or license plates of the passing artificial lanes, workers in a charging window corresponding to the artificial lanes can perform special condition processing on site aiming at the abnormal vehicles to be guided.

Aiming at the vehicle to be guided with abnormal vehicle type and/or license plate of the ETC lane, the toll station system can timely record the obtained abnormal vehicle information corresponding to the abnormal vehicle to be guided, and when a worker has an abnormal vehicle information calling request, the abnormal vehicle information can be timely displayed to the worker, so that an auditing basis is provided for subsequent auditing work.

It should be noted that, although the implementation manner of determining the vehicle information shown in fig. 6 is described by taking the vehicle type recognition device, the license plate recognition device and the ETC antenna device as an example, it is to be understood that the embodiment may also be that the charging system analyzes based on the vehicle image acquired by the image acquisition device, so as to determine the vehicle information of the vehicle to be guided.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a vehicle passing control device for realizing the vehicle passing control method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in one or more embodiments of the vehicle passing control device provided below may refer to the limitation of the vehicle passing control method hereinabove, and will not be repeated here.

In one embodiment, as shown in fig. 7, there is provided a vehicle passage control apparatus 1 including: a first information acquisition module 10, a second information acquisition module 11, and a vehicle guidance module 12, wherein:

a first information acquisition module 10, configured to acquire first vehicle information of a vehicle to be guided by a first image acquisition device deployed at a first location;

a second information obtaining module 11, configured to obtain second vehicle information and third vehicle information of a vehicle to be guided through a second image capturing device and a first radio frequency identification device deployed at a second location, respectively; the first position is located on the main line, and the distance between the first position and the ramp of the vehicle management station is a preset first distance; the second position is positioned on the ramp of the vehicle management station, and the distance between the second position and the shunting lane of the vehicle management station is a preset second distance;

The vehicle guiding module 12 is configured to display a lane guidance language to the vehicle to be guided according to the first vehicle information, the second vehicle information and the third vehicle information, so that the vehicle to be guided can drive into the vehicle management station based on the lane guidance language.

In one embodiment, as shown in fig. 8, the first information acquisition module 10 in fig. 7 includes:

an image acquisition unit 100 for acquiring a first vehicle image of a vehicle to be guided by a first image acquisition device disposed at a first position;

a vehicle type determining unit 101, configured to perform a vehicle type recognition process on the first vehicle image, so as to obtain vehicle type information in first vehicle information corresponding to the vehicle to be guided;

the license plate determining unit 102 is configured to perform license plate character recognition processing on the first vehicle image, so as to obtain license plate information in first vehicle information corresponding to the vehicle to be guided.

In one embodiment, license plate determination unit 102 in fig. 8 includes:

the character determining subunit is used for carrying out license plate character recognition processing on the first vehicle image to obtain license plate character information of the first vehicle image;

the license plate determining subunit is used for determining license plate number information in first vehicle information corresponding to the vehicle to be guided according to the license plate character value of the license plate character information;

The offset determination subunit is used for determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the license plate character image or the license plate character value in the license plate character information.

In one embodiment, the fouling determination subunit comprises:

the feature determining sub-component is used for determining character semantic features of the license plate character information according to the license plate character image in the license plate character information;

the offset determination sub-component is used for determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the similarity between the character semantic features of the license plate character information and the preset standard features.

In one embodiment, the fouling determination subunit comprises:

the gray level determining sub-assembly is used for carrying out gray level processing on license plate character images in license plate character information to obtain license plate gray level images;

the license plate offset determining sub-assembly is used for determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the size relation between the pixel variance value of the license plate gray level image and the preset variance threshold value.

In one embodiment, the fouling determination subunit comprises:

the anomaly determination sub-component is used for determining whether an anomaly character value exists in license plate character values of license plate character information;

And the offset information determining sub-component is used for determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the number of the abnormal character values and the number of license plate character values of the interval between the adjacent abnormal character values if the offset information determining sub-component exists.

In one embodiment, the vehicle guidance module 12 of fig. 7 includes:

the offset judging unit is used for judging whether the first vehicle information, the second vehicle information and the third vehicle information are the same or not and no license plate offset exists;

the first guiding unit is used for displaying a first lane guiding language to the vehicle to be guided if the first lane guiding language is the same; the first lane guiding language is used for guiding the vehicles to be guided to enter the automatic management diversion lane of the vehicle management station;

the second guiding unit is used for guiding the second vehicle channel displayed to the vehicle to be guided if not; the second vehicle channel guiding language is used for guiding the vehicles to be guided to drive into the manual management diversion lane of the vehicle management station.

In one embodiment, as shown in fig. 9, the vehicle passage control device 1 in fig. 7 includes:

a third information obtaining module 13, configured to obtain fourth vehicle information and fifth vehicle information of the vehicle to be guided through a third image capturing device and a second radio frequency identification device deployed at a third location, respectively; the third position is the position of a management channel of the vehicle management station;

The traffic state determining module 14 is configured to determine a traffic state of the vehicle to be guided when passing through the vehicle management station according to the management attribute of the management channel, the consistency of license plate information in the fourth vehicle information and license plate information in the fifth vehicle information, and the consistency of vehicle type information in the reference vehicle information and vehicle type information in the fifth vehicle information; wherein the reference vehicle information is first vehicle information or second vehicle information.

The respective modules in the above-described vehicle passage control apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a terminal, and an internal structure diagram thereof may be as shown in fig. 10. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a vehicle traffic control method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by those skilled in the art that the structure shown in FIG. 10 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:

In one embodiment, the processor when executing the computer program further performs the steps of:

In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of:

In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:

The vehicle image, the vehicle information, and the like according to the present application are information and data authorized by the user or sufficiently authorized by each party.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A vehicle passing control method, characterized in that the method comprises:

acquiring second vehicle information and third vehicle information of the vehicle to be guided through second image acquisition equipment and first radio frequency identification equipment deployed at a second position respectively; the first position is located on the main line, and the distance between the first position and the ramp of the vehicle management station is a preset first distance; the second position is positioned on the ramp of the vehicle management station, and the distance between the second position and the shunting lane of the vehicle management station is a preset second distance;

And displaying a lane guidance language to the vehicle to be guided according to the first vehicle information, the second vehicle information and the third vehicle information, so that the vehicle to be guided can drive into the vehicle management station based on the lane guidance language.

2. The method of claim 1, wherein the first vehicle information includes vehicle type information and license plate information; the first image acquisition device deployed through the first position acquires first vehicle information of a vehicle to be guided, including:

acquiring a first vehicle image of the vehicle to be guided by a first image acquisition device deployed at a first position;

3. The method of claim 2, wherein the license plate information includes license plate number information and license plate offset information; the license plate character recognition processing is performed on the first vehicle image to obtain license plate information in first vehicle information corresponding to the vehicle to be guided, including:

4. The method according to claim 3, wherein the determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the license plate character image in the license plate character information includes:

determining character semantic features of the license plate character information according to the license plate character image in the license plate character information;

5. The method according to claim 3, wherein the determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the license plate character image in the license plate character information includes:

Carrying out gray processing on license plate character images in the license plate character information to obtain license plate gray images;

and determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the size relation between the pixel variance value of the license plate gray level image and a preset variance threshold value.

6. The method according to claim 3, wherein the determining license plate offset information in the first vehicle information corresponding to the vehicle to be guided according to the license plate character value in the license plate character information includes:

determining whether an abnormal character value exists in license plate character values of the license plate character information;

7. The method of claim 3, wherein the lane guidance presented to the vehicle to be guided based on the first, second, and third vehicle information comprises:

If yes, a first lane guiding language displayed to the vehicle to be guided is displayed; the first lane guiding language is used for guiding the to-be-guided vehicle to drive into an automatic management diversion lane of the vehicle management station;

8. The method according to any one of claims 2-7, wherein, after the lane guidance presented to the vehicle to be guided based on the first vehicle information, the second vehicle information, and the third vehicle information, the method further comprises:

determining a passing state of a vehicle to be guided when passing through the vehicle management station according to the management attribute of the management channel, the consistency of license plate information in the fourth vehicle information and license plate information in the fifth vehicle information, and the consistency of vehicle type information in the reference vehicle information and vehicle type information in the fifth vehicle information; wherein the reference vehicle information is first vehicle information or second vehicle information.

9. A vehicle passage control device, characterized in that the device comprises:

the second information acquisition module is used for acquiring second vehicle information and third vehicle information of the vehicle to be guided through second image acquisition equipment and first radio frequency identification equipment deployed at a second position respectively; the first position is located on the main line, and the distance between the first position and the ramp of the vehicle management station is a preset first distance; the second position is located on the ramp of the vehicle management station, and the distance between the second position and the shunting lane of the vehicle management station is a preset second distance;

10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.

11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.

12. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 8.