CN117373256A - Method and device for controlling traffic of vehicles in rush hour, computer equipment and storage medium - Google Patents
Method and device for controlling traffic of vehicles in rush hour, computer equipment and storage medium Download PDFInfo
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- CN117373256A CN117373256A CN202311340643.6A CN202311340643A CN117373256A CN 117373256 A CN117373256 A CN 117373256A CN 202311340643 A CN202311340643 A CN 202311340643A CN 117373256 A CN117373256 A CN 117373256A
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- 238000001514 detection method Methods 0.000 claims description 41
- 238000012544 monitoring process Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 6
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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Abstract
The invention discloses a method, a device, computer equipment and a storage medium for controlling traffic of vehicles in a peak period, wherein the method is realized by the following steps: acquiring the number of vehicles and vehicle information of the first identification of the target vehicle in the remote area; when the number of the vehicles identified for the first time is larger than a first preset number threshold value, storing the vehicle information into a queue to be passed according to a preset rule; judging whether the target vehicles all accord with preset release conditions; and if the target vehicles all meet the preset release conditions, normally opening the gate of the entrance and exit of the target parking lot based on the queue to be passed so as to release the target vehicles. Through identifying and acquiring the number of vehicles in the far-end area at the entrance and exit of the target parking lot, when the number of vehicles is larger than a first preset number threshold value, normally open operation can be carried out on the gate of the entrance and exit when the preset release condition is met, so that the vehicles can quickly enter or leave, the passing circulation efficiency is improved, and the time of vehicle congestion in peak periods is reduced.
Description
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to a method and a device for controlling traffic of vehicles in peak period, computer equipment and a storage medium.
Background
Under the background of the high-speed development of socioeconomic, private vehicles are increasingly growing, the demand for parking lots is increasingly increasing, and the problems of more and more difficult parking and difficult taking of vehicles are caused by the limited containing space and parking spaces of the parking lots. Especially in the morning and evening peak period, because the vehicle that gets in and out the parking area is too much, the gate circulation speed of import and export department is slower, and vehicle passing efficiency reduces, leads to the vehicle to form the jam in parking area import and export, for the vehicle needs to consume a large amount of time when getting in and out the parking area, can't realize the orderly trip of vehicle, and quick evacuation brings very big inconvenience for the user's trip.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a rush hour vehicle traffic control method, apparatus, computer device and storage medium to solve at least one of the problems of the prior art.
In a first aspect, a method for controlling traffic in peak hours is provided, including the steps of:
acquiring the number of vehicles and vehicle information of the first identification of the target vehicles in the remote area, wherein the distance between the remote area and the entrance or the exit of the target parking lot is larger than a first preset distance threshold;
when the number of the vehicles identified for the first time is larger than a first preset number threshold value, storing the vehicle information into a queue to be passed according to a preset rule;
judging whether the target vehicles all accord with preset release conditions or not;
and if the target vehicles meet the preset release conditions, normally opening the entrance gate or the exit gate of the target parking lot based on the queue to be passed so as to release the target vehicles.
In an embodiment, the determining whether the target vehicles all meet the preset release conditions includes:
determining whether the target vehicles are vehicles handling parking cards based on the vehicle information; or alternatively
If the target vehicle is a departure vehicle, determining whether the target vehicle is paid on the basis of the vehicle information; or alternatively
If the target vehicle is an entrance vehicle, judging whether the number of idle parking spaces in the target parking lot is larger than the number of vehicles identified for the first time; or alternatively
Based on the vehicle information, it is determined whether the target vehicle is a blacklisted vehicle.
In an embodiment, the vehicle information includes a license plate number, and the acquiring the number of vehicles identified for the first time and the vehicle information of the target vehicle in the remote area includes:
collecting video monitoring data of the remote area;
based on the video monitoring data, carrying out license plate recognition on the target vehicle in the far-end area so as to obtain the license plate number;
detecting the target vehicle based on the video monitoring data to obtain a vehicle detection frame of the target vehicle;
and counting the number of the vehicle detection frames to obtain the number of the vehicles identified for the first time of the target vehicle.
In an embodiment, before the obtaining the vehicle detection frame of the target vehicle, the method includes:
judging whether a blocked target vehicle exists or not;
and if the blocked target vehicle exists, supplementing the vehicle detection frame of the blocked target vehicle to obtain a complete vehicle detection frame.
In an embodiment, after counting the number of the vehicle detection frames to obtain the first identified number of vehicles of the target vehicle, the method includes:
detecting a second identified number of vehicles of the target vehicle in the remote area by a preset vehicle identifier;
and when the number of the vehicles identified for the second time is inconsistent with the number of the vehicles identified for the first time, updating the number of the vehicles identified for the first time through the number of the vehicles identified for the second time.
In an embodiment, the normally open operation of the entrance gate or the exit gate of the target parking lot includes:
authenticating the vehicle information of the target vehicle traveling to a near-end area, wherein the distance between the near-end area and an entrance or an exit of the target parking lot is smaller than a second preset distance threshold value, and the second preset distance threshold value is smaller than the first preset distance threshold value;
if the authentication is successful, normally-open operation is carried out on the entrance gate or the exit gate of the target parking lot;
if the authentication fails, closing the entrance gate or the exit gate of the target parking lot.
In an embodiment, after the acquiring the number of vehicles and the vehicle information of the first identification of the target vehicle in the remote area, the method includes:
when the number of the vehicles identified for the first time of the target vehicle is larger than a second preset number threshold value, acquiring a current frame image and position information of the target vehicle, and sending the current frame image and the position information to corresponding staff for congestion coordination;
wherein the second preset number threshold is greater than the first preset number threshold.
In a second aspect, there is provided a rush hour vehicle passage control apparatus comprising:
an information acquisition unit for acquiring the number of vehicles and the vehicle information of the first identification of the target vehicle in a remote area, wherein the distance between the remote area and an entrance or an exit of the target parking lot is larger than a first preset distance threshold;
the to-be-passed queue storage unit is used for storing the vehicle information into the to-be-passed queue according to a preset rule when the number of the vehicles identified for the first time is larger than a first preset number threshold value;
the release judging unit is used for judging whether the target vehicles all accord with preset release conditions;
and the gate control unit is used for carrying out normally open operation on an entrance gate or an exit gate of the target parking lot based on the queue to be passed when the target vehicles meet preset passing conditions so as to pass the target vehicles.
In a third aspect, there is provided a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the rush hour vehicle pass control method as described above.
In a fourth aspect, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the rush hour vehicle passage control method as described above.
The method, the device, the computer equipment and the storage medium for controlling the traffic of the vehicles in the peak period are realized by the following steps: acquiring the number of vehicles and vehicle information of the first identification of the target vehicles in the remote area, wherein the distance between the remote area and the entrance or the exit of the target parking lot is larger than a first preset distance threshold; when the number of the vehicles identified for the first time is larger than a first preset number threshold value, storing the vehicle information into a queue to be passed according to a preset rule; judging whether the target vehicles all accord with preset release conditions or not; and if the target vehicles meet preset release conditions, normally opening the entrance gate or the exit gate of the target parking lot based on the queue to be passed so as to release the target vehicles. In this embodiment of the application, through discernment and acquisition to the vehicle quantity and the vehicle information in the distal end region of exit department of target parking area, deposit this vehicle information to waiting to pass the queue, when vehicle quantity is greater than first default quantity threshold value, when there is the jam, can be when the target vehicle accords with default release condition, open the operation to the floodgate machine of access & exit for waiting to pass the vehicle in the queue and can drive into or drive away the parking area fast, improve and pass circulation efficiency, reduced the time of crowding, alleviateed the peak period vehicle degree of crowding.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a rush hour vehicle pass control method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a rush hour vehicle traffic control apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a computer device in accordance with an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In this embodiment of the application, through discernment and acquisition to the vehicle quantity and the vehicle information in the distal end region of exit department of target parking area, deposit this vehicle information to waiting to pass the queue, when vehicle quantity is greater than first default quantity threshold value, when there is the jam, can be when the target vehicle accords with default release condition, open the operation to the floodgate machine of access & exit for waiting to pass the vehicle in the queue and can drive into or drive away the parking area fast, improve and pass circulation efficiency, reduced the time of crowding, alleviateed the peak period vehicle degree of crowding.
In one embodiment, as shown in fig. 1, a method for controlling traffic in peak period is provided, which includes the following steps:
in step S110, the number of vehicles identified for the first time and the vehicle information of the target vehicle in the remote area are acquired, wherein the distance between the remote area and the entrance or the exit of the target parking lot is greater than a first preset distance threshold;
in an embodiment of the present application, the distal region may include a first distal region and a second distal region, and a distance between the first distal region and an outlet of the target parking lot may be greater than a first preset distance threshold. The distance between the second distal region and the entrance of the target parking lot may be greater than the first preset distance threshold. It will be appreciated that the target vehicle in the remote zone may be a vehicle to be driven into the target parking lot or a vehicle to be driven out of the target parking lot.
The number of vehicles identified for the first time can be identified by an image acquisition device, such as a camera, or can be detected by a vehicle identifier, such as a geomagnetic sensor.
In the embodiment of the application, the vehicle information may include information such as license plate number, vehicle type, vehicle color, vehicle brand, and the like.
In this embodiment of the present application, the vehicle information is a license plate number, and the obtaining the number of vehicles and the vehicle information of the first identification of the target vehicle in the remote area includes:
collecting video monitoring data of the remote area;
based on the video monitoring data, carrying out license plate recognition on the target vehicle in the far-end area so as to obtain the license plate number;
detecting the target vehicle based on the video monitoring data to obtain a vehicle detection frame of the target vehicle;
and counting the number of the vehicle detection frames to obtain the number of the vehicles identified for the first time of the target vehicle.
Specifically, an image capturing device may be disposed in the far-end area for capturing images of a target vehicle traveling in the far-end area, or a remote camera may be disposed at a gate of an exit or an entrance for capturing images of the far-end area to acquire the video surveillance data.
Further, after the video monitoring data is acquired, license plate recognition, vehicle type recognition and the like can be performed on the video frame image of each frame of video monitoring data so as to acquire the vehicle information of each target vehicle.
Further, after the video monitoring data is acquired, vehicle detection or roof detection can be performed through a target detection algorithm, such as YOLO, to obtain a vehicle detection frame of each target vehicle, and the number of target vehicles can be obtained by counting and identifying the number of vehicle detection frames.
In an embodiment of the present application, before the obtaining the vehicle detection frame of the target vehicle, the method includes:
judging whether a blocked target vehicle exists or not;
and if the blocked target vehicle exists, supplementing the vehicle detection frame of the blocked target vehicle to obtain a complete vehicle detection frame.
Specifically, there may be a problem in that a rear vehicle is hidden by a front vehicle because a distance between the target vehicle and the front vehicle is too small during traveling, and the rear vehicle cannot be recognized, or there may be a problem in that a large vehicle, such as a truck, or the like, causes a rear or nearby vehicle to be hidden and cannot be recognized. When the vehicle detection frame is acquired, the implementation manner of the 3D target detection method, such as LiDAR, is mainly based on the 3D target detection technology, so that when the area of the target vehicle blocked reaches a preset area threshold, such as more than 30%, the vehicle detection frame disappears, but the detection information of the previous frames of the target vehicle is retained, and at this time, after the target vehicle is blocked, the detection information of the previous frames only retains the lowest frame position, namely the bottom surface of one rectangular detection frame. At this time, in order to be convenient for count and discernment to the quantity of the vehicle detection frame of target vehicle, the complete information of vehicle detection frame is accomplished through the regression of 3D frame, forms complete vehicle detection frame to count to the quantity of vehicle detection frame, avoid unable statistics to the target vehicle that is sheltered from, lead to the inaccurate problem of quantity statistics of target vehicle.
In an implementation scenario of the present application, if a plurality of target vehicles are detected in a far-end area, a license plate of a target vehicle in the middle cannot be identified due to vehicle shielding, for example, a large vehicle is detected in a front end, and the large vehicle shields a rear vehicle, although it can be determined that a vehicle is also present behind the large vehicle by the vehicle detection frame complement method, the license plate of the vehicle cannot be acquired. When the front-end vehicle is a small-sized vehicle, the license plate number at the front end of the vehicle cannot be obtained due to the fact that the following distance between the vehicle and the front vehicle is too short, and the like, and meanwhile, if a large-sized vehicle exists behind the vehicle or the following distance between the vehicle and the rear vehicle is relatively short, the license plate number at the rear end of the vehicle cannot be identified, at the moment, the legitimacy of the entering/exiting of the vehicle cannot be verified, at the moment, the vehicle can be released according to a release mode of a normal vehicle and a brake, and the problems of escaping, paying and the like are avoided.
In an embodiment of the present application, after counting the number of the vehicle detection frames to obtain the first identified number of vehicles of the target vehicle, the method includes:
detecting the number of vehicles identified for the second time of the target vehicle in the far-end area through a preset vehicle identifier;
and when the number of the vehicles identified for the second time is inconsistent with the number of the vehicles identified for the first time, updating the number of the vehicles identified for the first time through the number of the vehicles identified for the second time.
Specifically, a matrix geomagnetic sensor may be configured in the distal area, and is configured to sense a number of target vehicles traveling in the area, so as to determine a second recognized number of vehicles of the target vehicles, and if the second recognized number of vehicles is inconsistent with the first recognized number of vehicles, the second recognized number of vehicles may be used as an actual number of vehicles, thereby enhancing accuracy of recognition of the number of vehicles.
It will be appreciated that the first identified number of vehicles refers to the total number of detected target vehicles in the remote area, and the second identified number of vehicles refers to the total number of detected target vehicles in the remote area by the preset vehicle identifier.
In step S120, when the number of vehicles identified for the first time is greater than a first preset number threshold, storing the vehicle information into a queue to be passed according to a preset rule;
in this embodiment of the present application, the congestion level may be set according to a preset congestion rule, for example, when the number of vehicles identified for the first time is smaller than the first preset number threshold, for example, 2 vehicles may be considered to be smaller, and if there is no congestion, the vehicles may be released according to a release manner of a normal vehicle-brake; when the number of the first identified vehicles is greater than the first preset number threshold, for example, 4 vehicles, the number of the target vehicles can be considered to be more, and the congestion state can be judged; when the number of vehicles identified for the first time is greater than the second preset number threshold, for example, 5 vehicles, the number of target vehicles can be considered to be large, and a large number of congestion states can be determined at this time.
When the number of the vehicles identified for the first time is greater than a first preset number threshold, that is, the exit or entrance of the target parking lot is in a congestion state, the identified vehicle information can be sequentially stored in a pre-established waiting-to-pass queue according to the identification time, for example, the vehicle information is a license plate number, and then the license plate number can be sequentially stored in the waiting-to-pass queue so as to count the vehicles ready for traveling.
Further, when the target vehicle leaves or enters the target parking lot, the matching of the vehicle information can be performed according to the arrangement sequence of the queue to be passed, and the vehicle waiting for passing can be performed.
In an embodiment of the present application, after the obtaining the number of vehicles and the vehicle information of the first identification of the target vehicle in the remote area, the method includes:
when the number of the vehicles identified for the first time of the target vehicle is larger than a second preset number threshold value, acquiring a current frame image and position information of the target vehicle, and sending the current frame image and the position information to corresponding staff for congestion coordination;
wherein the second preset number threshold is greater than the first preset number threshold.
Specifically, when the number of the target vehicles is greater than a second preset number threshold, for example, greater than 5 vehicles, at this time, the exit or entrance of the current target parking lot can be considered to be in a large number of congestion states, at this time, the image and the position information of the target vehicles can be acquired and sent to the corresponding staff, so that congestion coordination management can be performed on site through the staff, so that the congested vehicles can be dredged, vehicles can smoothly pass, and the vehicle passing efficiency is improved.
In an implementation scenario of the present application, the congestion level may be determined according to a location of the target parking lot, for example, for a parking lot of an old cell with a narrower space, the first preset number threshold may be adjusted to 2 vehicles, that is, when the number of vehicles is greater than or equal to 2 vehicles, the first preset number threshold may be considered to be in a congestion state.
In step S130, it is determined whether the target vehicles all meet a preset release condition;
in an embodiment of the present application, the determining whether the target vehicles all meet the preset release conditions includes:
determining whether the target vehicles are vehicles handling parking cards based on the vehicle information; or alternatively
If the target vehicle is a departure vehicle, determining whether the target vehicle is paid on the basis of the vehicle information; or alternatively
If the target vehicle is an entrance vehicle, judging whether the number of idle parking spaces in the target parking lot is larger than the number of vehicles identified for the first time; or alternatively
Based on the vehicle information, it is determined whether the target vehicle is a blacklisted vehicle.
Specifically, when it is determined that the number of vehicles is large, that is, when the exit or entrance of the current target parking lot is in a congestion state, it may be further determined whether the target vehicles corresponding to the vehicle information in the to-be-passed queue are vehicles handling the parking card; or if the target vehicle is a departure vehicle, determining whether the target vehicle is paid completely or not based on the vehicle information; or if the target vehicle is an entering vehicle, judging whether the number of idle parking spaces in the target parking lot is larger than the number of vehicles identified for the first time; or whether the target vehicle is a blacklisted vehicle is determined, so that whether the target vehicle can be released currently is determined, and the problems of escape list or congestion in a parking lot are avoided.
The parking card can comprise a month card, a time card, a year card and the like, and by handling the month card, one month parking fee can be paid at a time without paying the parking fee each time.
The blacklisted vehicles may include, among other things, vehicles for which there is an escape order, an escape fee, unlicensed vehicles, etc.
In an implementation scenario of the present application, if the target vehicle does not meet the preset release condition, for example, when the number of vehicles identified for the first time is 4, but the number of idle parking spaces in the target parking lot is 3, since the idle parking spaces cannot meet all the target vehicles for parking, the preset release condition is not met, and at this time, the normally open operation is not suitable, and the vehicle release can be performed according to the release mode of a normal vehicle and a brake.
In step S140, if the target vehicles all meet the preset release conditions, normally open operation is performed on the exit gate or the entrance gate of the target parking lot based on the queue to be passed, so as to release the target vehicles.
In this embodiment of the present application, if all the target vehicles meet the preset release condition, it may be understood that when all the target vehicles corresponding to the vehicle information in the to-be-passed queue meet the preset release condition, the vehicle information in the to-be-passed queue may be divided into different batches according to the queuing sequence, for example, every 3 target vehicles may be a batch, and when the target vehicles belonging to the same batch pass, the vehicle information of the target vehicle, for example, the license plate number triggers the exit gate or the entrance gate of the target parking lot to perform the normally open operation, so that the target vehicles belonging to the same batch may pass continuously, thereby improving the passing efficiency and increasing the passing circulation speed.
It can be understood that the exit gate and the entrance gate can be operated normally in batches, so that the same batch of target vehicles can be released synchronously without one gate, thereby improving the passing efficiency.
In an embodiment of the present application, the performing a normally open operation on the entrance gate or the exit gate of the target parking lot includes:
authenticating vehicle information of a target vehicle traveling to a near-end area, wherein the distance between the near-end area and an entrance or an exit of the target parking lot is smaller than a second preset distance threshold value, and the second preset distance threshold value is smaller than the first preset distance threshold value;
if the authentication is successful, normally-open operation is carried out on the entrance gate or the exit gate of the target parking lot;
if the authentication fails, closing the entrance gate or the exit gate of the target parking lot.
The proximal region may include a first proximal region and a second proximal region, and a distance between the first proximal region and an outlet of the target parking lot may be less than a second preset distance threshold. The distance between the second proximal end region and the entrance of the target parking lot may be less than the second preset distance threshold. It will be appreciated that the target vehicle in the proximal region may be a vehicle to be driven into the target parking lot or may be a vehicle to be driven out of the target parking lot.
Wherein the second preset distance threshold is smaller than the first preset distance threshold, it is understood that the proximal region is closer to the inlet or outlet of the target vehicle than the distal region.
In this embodiment of the present invention, an identification camera may be disposed at an entrance or an exit of a target parking lot, and the identification camera may be configured to secondarily identify a target vehicle traveling to a near-end area, so as to acquire information of the target vehicle again, so as to authenticate the target vehicle, for example, determine whether the target vehicle is a vehicle handling a parking card, pay a parking fee, have an entry record, be a fake-licensed vehicle, and the like, and may perform a normally open operation on an entrance gate or an exit gate of the target parking lot after the authentication is successful, so that the target vehicle may be driven out in batches. If the target vehicle with failed authentication appears in any batch, the entrance gate or the exit gate is controlled to be closed so as to avoid the problems of escaping forms and the like.
Further, after the authentication is passed, the vehicle information of the target vehicle passing the authentication can be deleted in the queue to be passed, so as to avoid repeated passing identification.
The embodiment of the application provides a rush hour vehicle passing control method, which comprises the following steps: acquiring the number of vehicles and vehicle information of the first identification of the target vehicles in the remote area, wherein the distance between the remote area and the entrance or the exit of the target parking lot is larger than a first preset distance threshold; when the number of the vehicles identified for the first time is larger than a first preset number threshold value, storing the vehicle information into a queue to be passed according to a preset rule; judging whether the target vehicles all accord with preset release conditions or not; and if the target vehicles meet preset release conditions, normally opening the entrance gate or the exit gate of the target parking lot based on the queue to be passed so as to release the target vehicles. In this embodiment of the application, through discernment and acquisition to the vehicle quantity and the vehicle information in the distal end region of exit department of target parking area, deposit this vehicle information to waiting to pass the queue, when vehicle quantity is greater than first default quantity threshold value, when there is the jam, can be when target vehicle accords with default release condition, open the operation to the floodgate machine of access & exit for wait to pass the vehicle in the queue and can drive into or drive away the parking area fast, through vehicle detection, 3D frame regression, license plate queue matrix, remote pre-recognition etc. technology has solved the parking area and has by the pain point problem that the peak period was crowded down of far and near state, improve and pass circulation efficiency. The traffic circulation efficiency is improved, the congestion time is reduced, and the vehicle congestion degree in the peak period is relieved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
In one embodiment, a rush hour vehicle passage control device is provided, which corresponds to the rush hour vehicle passage control method in the above embodiment one by one. As shown in fig. 2, the rush hour vehicle passage control apparatus includes an information acquisition unit 10, a waiting passage queue storage unit 20, a release judgment unit 30, and a gate control unit 40. The functional modules are described in detail as follows:
an information acquisition unit 10 that acquires the number of vehicles identified for the first time and vehicle information of a target vehicle in a remote area, the distance between the remote area and an entrance or an exit of a target parking lot being greater than a first preset distance threshold;
a to-be-passed queue storage unit 20, configured to store the vehicle information into a to-be-passed queue according to a preset rule when the number of vehicles identified for the first time is greater than a first preset number threshold;
a release judging unit 30, configured to judge whether the target vehicles all meet preset release conditions;
and a gate control unit 40, configured to perform a normally open operation on an entrance gate or an exit gate of the target parking lot based on the queue to be passed to pass the target vehicle if the target vehicle meets a preset passing condition.
The judging whether the target vehicles all accord with preset release conditions comprises the following steps:
determining whether the target vehicles are vehicles handling parking cards based on the vehicle information; or alternatively
If the target vehicle is a departure vehicle, determining whether the target vehicle is paid on the basis of the vehicle information; or alternatively
If the target vehicle is an entrance vehicle, judging whether the number of idle parking spaces in the target parking lot is larger than the number of vehicles identified for the first time; or alternatively
Based on the vehicle information, it is determined whether the target vehicle is a blacklisted vehicle.
In an embodiment of the present application, the vehicle information includes a license plate number, and the information obtaining unit 10 is further configured to:
collecting video monitoring data of the remote area;
based on the video monitoring data, carrying out license plate recognition on the target vehicle in the far-end area to obtain the license plate number;
detecting the target vehicle based on the video monitoring data to obtain a vehicle detection frame of the target vehicle;
and counting the number of the vehicle detection frames to obtain the number of the vehicles identified for the first time of the target vehicle.
In an embodiment of the present application, the information obtaining unit 10 is further configured to:
judging whether a blocked target vehicle exists or not;
and if the blocked target vehicle exists, supplementing the vehicle detection frame of the blocked target vehicle to obtain a complete vehicle detection frame.
In an embodiment of the present application, the apparatus further includes a vehicle number verification unit configured to:
detecting the number of vehicles identified for the second time of the target vehicle in the far-end area through a preset vehicle identifier;
and when the number of the vehicles identified for the second time is inconsistent with the number of the vehicles identified for the first time, updating the number of the vehicles identified for the first time through the number of the vehicles identified for the second time.
In one embodiment of the present application, the gate control unit 40 is further configured to:
authenticating vehicle information of a target vehicle traveling to a near-end area, wherein the distance between the near-end area and an entrance or an exit of the target parking lot is smaller than a second preset distance threshold value, and the second preset distance threshold value is smaller than the first preset distance threshold value;
if the authentication is successful, normally-open operation is carried out on the entrance gate or the exit gate of the target parking lot;
if the authentication fails, closing the entrance gate or the exit gate of the target parking lot.
In an embodiment of the present application, the apparatus further includes: a congestion coordination unit configured to:
when the number of the vehicles identified for the first time of the target vehicle is larger than a second preset number threshold value, acquiring a current frame image and position information of the target vehicle, and sending the current frame image and the position information to corresponding staff for congestion coordination;
wherein the second preset number threshold is greater than the first preset number threshold.
In this embodiment of the application, through discernment and acquisition to the vehicle quantity and the vehicle information in the distal end region of exit department of target parking area, deposit this vehicle information to waiting to pass the queue, when vehicle quantity is greater than first default quantity threshold value, when there is the jam, can be when target vehicle accords with default release condition, open the operation to the floodgate machine of access & exit for wait to pass the vehicle in the queue and can drive into or drive away the parking area fast, through vehicle detection, 3D frame regression, license plate queue matrix, remote pre-recognition etc. technology has solved the parking area and has by the pain point problem that the peak period was crowded down of far and near state, improve and pass circulation efficiency. The traffic circulation efficiency is improved, the congestion time is reduced, and the vehicle congestion degree in the peak period is relieved.
The specific limitation of the rush hour vehicle passage control device can be referred to as limitation of the rush hour vehicle passage control method hereinabove, and will not be described in detail herein. The various modules in the rush hour vehicle pass control device described above may be implemented in whole or in part by software, hardware, and combinations 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 device, and the internal structure thereof may be as shown in fig. 3. The computer device includes a processor, a memory, and a network interface 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 readable storage medium. The readable storage medium stores computer readable instructions. The network interface of the computer device is used for connecting with an external terminal through a network. The computer readable instructions when executed by the processor implement a rush hour vehicle pass control method. The readable storage medium provided by the present embodiment includes a nonvolatile readable storage medium and a volatile readable storage medium.
In an embodiment of the present application, a computer device is provided that includes a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, which when executed by the processor implement the steps of the rush hour vehicle pass control method described above.
In an embodiment of the application, a readable storage medium is provided, storing computer readable instructions that when executed by a processor implement the steps of the rush hour vehicle pass control method described above.
Those skilled in the art will appreciate that implementing all or part of the above described embodiment methods may be accomplished by instructing the associated hardware by computer readable instructions stored on a non-volatile readable storage medium or a volatile readable storage medium, which when executed may comprise the above described embodiment methods. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (10)
1. A method for peak vehicle traffic control, the method comprising:
acquiring the number of vehicles and vehicle information of the first identification of the target vehicles in the remote area, wherein the distance between the remote area and the entrance or the exit of the target parking lot is larger than a first preset distance threshold;
when the number of the vehicles identified for the first time is larger than a first preset number threshold value, storing the vehicle information into a queue to be passed according to a preset rule;
judging whether the target vehicles all accord with preset release conditions or not;
and if the target vehicles meet the preset release conditions, normally opening the entrance gate or the exit gate of the target parking lot based on the queue to be passed so as to release the target vehicles.
2. The rush hour vehicle pass control method of claim 1 wherein said determining whether the target vehicles all meet a preset release condition comprises:
determining whether the target vehicles are vehicles handling parking cards based on the vehicle information; or alternatively
If the target vehicle is a departure vehicle, determining whether the target vehicle is paid on the basis of the vehicle information; or alternatively
If the target vehicle is an entrance vehicle, judging whether the number of idle parking spaces in the target parking lot is larger than the number of vehicles identified for the first time; or alternatively
Based on the vehicle information, it is determined whether the target vehicle is a blacklisted vehicle.
3. The rush hour vehicle pass control method of claim 1 wherein the vehicle information includes a license plate number, and the obtaining the first identified number of vehicles of the target vehicle in the remote area and the vehicle information includes:
collecting video monitoring data of the remote area;
based on the video monitoring data, carrying out license plate recognition on the target vehicle in the far-end area so as to obtain the license plate number;
detecting the target vehicle based on the video monitoring data to obtain a vehicle detection frame of the target vehicle;
and counting the number of the vehicle detection frames to obtain the number of the vehicles identified for the first time of the target vehicle.
4. The rush hour vehicle pass control method of claim 3 wherein prior to said deriving the vehicle detection frame of the target vehicle, comprising:
judging whether a blocked target vehicle exists or not;
and if the blocked target vehicle exists, supplementing the vehicle detection frame of the blocked target vehicle to obtain a complete vehicle detection frame.
5. The rush hour vehicle passage control method according to claim 3, wherein after counting the number of the vehicle detection frames to obtain the first identified number of vehicles of the target vehicle, comprising:
detecting a second identified number of vehicles of the target vehicle in the remote area by a preset vehicle identifier;
and when the number of the vehicles identified for the second time is inconsistent with the number of the vehicles identified for the first time, updating the number of the vehicles identified for the first time through the number of the vehicles identified for the second time.
6. The rush hour vehicle passage control method of claim 1 wherein said normally open operation of the entrance gate or the exit gate of the target parking lot comprises:
authenticating the vehicle information of the target vehicle traveling to a near-end area, wherein the distance between the near-end area and an entrance or an exit of the target parking lot is smaller than a second preset distance threshold value, and the second preset distance threshold value is smaller than the first preset distance threshold value;
if the authentication is successful, normally-open operation is carried out on the entrance gate or the exit gate of the target parking lot;
if the authentication fails, closing the entrance gate or the exit gate of the target parking lot.
7. The rush hour vehicle pass control method of claim 1 wherein after the first identified number of vehicles and the vehicle information of the target vehicles in the remote area are obtained, comprising:
when the number of the vehicles identified for the first time of the target vehicle is larger than a second preset number threshold value, acquiring a current frame image and position information of the target vehicle, and sending the current frame image and the position information to corresponding staff for congestion coordination;
wherein the second preset number threshold is greater than the first preset number threshold.
8. A rush hour vehicle pass control apparatus, the apparatus comprising:
an information acquisition unit for acquiring the number of vehicles and the vehicle information of the first identification of the target vehicle in a remote area, wherein the distance between the remote area and an entrance or an exit of the target parking lot is larger than a first preset distance threshold;
the to-be-passed queue storage unit is used for storing the vehicle information into the to-be-passed queue according to a preset rule when the number of the vehicles identified for the first time is larger than a first preset number threshold value;
the release judging unit is used for judging whether the target vehicles all accord with preset release conditions;
and the gate control unit is used for carrying out normally open operation on an entrance gate or an exit gate of the target parking lot based on the queue to be passed when the target vehicles meet the preset passing condition so as to pass the target vehicles.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein execution of the computer program by the processor causes the processor to perform the rush hour vehicle pass control method of any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, causes the processor to perform the rush hour vehicle passage control method according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311340643.6A CN117373256A (en) | 2023-10-16 | 2023-10-16 | Method and device for controlling traffic of vehicles in rush hour, computer equipment and storage medium |
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| CN202311340643.6A CN117373256A (en) | 2023-10-16 | 2023-10-16 | Method and device for controlling traffic of vehicles in rush hour, computer equipment and storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117746645A (en) * | 2024-02-19 | 2024-03-22 | 深圳市捷易科技有限公司 | Vehicle identification method, device, equipment and computer storage medium |
| CN117935416A (en) * | 2024-03-21 | 2024-04-26 | 成都赛力斯科技有限公司 | Pre-running area access statistical method, device and storage medium |
| CN117746645B (en) * | 2024-02-19 | 2024-05-31 | 深圳市捷易科技有限公司 | Vehicle identification method, device, equipment and computer storage medium |
-
2023
- 2023-10-16 CN CN202311340643.6A patent/CN117373256A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117746645A (en) * | 2024-02-19 | 2024-03-22 | 深圳市捷易科技有限公司 | Vehicle identification method, device, equipment and computer storage medium |
| CN117746645B (en) * | 2024-02-19 | 2024-05-31 | 深圳市捷易科技有限公司 | Vehicle identification method, device, equipment and computer storage medium |
| CN117935416A (en) * | 2024-03-21 | 2024-04-26 | 成都赛力斯科技有限公司 | Pre-running area access statistical method, device and storage medium |
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