Roadside parking charging price automatic regulation and control method

Abstract

The invention provides a roadside parking charging price automatic regulation and control method, which belongs to the technical field of roadside parking charging and comprises the following steps of: acquiring the number of vehicles on each road section by using a remote sensing satellite, regulating and controlling the price of roadside parking spaces according to the number of the vehicles, and stimulating a user to leave or park as soon as possible through the price. Image acquisition is carried out by using a remote sensing satellite, data acquisition can be carried out on road sections of a whole city, then price regulation and control are carried out at fixed time according to the parking number of each road section, so that the parking price better meets the requirements of actual conditions, the price is increased when the parking number is large and congestion is easily caused, and the parking efficiency is improved. Therefore, a parking user can drive away the parked vehicle in time, the utilization rate of the parking space is increased, the price is reduced and the user is encouraged to hear the vehicle to the roadside parking space when a small number of vehicles are parked, and the price is increased and the parking number of the roadside parking space is reduced in order to avoid congestion when the traffic flow of a road section is large, so that congestion is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of roadside parking fee collection, and in particular to a method for automatically regulating roadside parking fee collection prices. Background Art

[0002] Traffic problems have become a global urban problem, and traffic congestion is the main manifestation of urban traffic problems. The causes of urban traffic congestion are due to a variety of factors, and traffic congestion directly affects the quality of people's travel, especially those who use vehicles for transportation. The problem of parking difficulties has become a major cause of urban traffic congestion.

[0003] In order to solve the parking problem and meet people's temporary parking needs, many cities have set up parking spaces on both sides of non-main roads. However, the parking prices of existing roadside parking spaces are basically fixed and will not change at the beginning. However, due to the different parking needs in each area or each road section at different time periods, it often causes congestion or inability to find parking spaces during peak parking periods. In order to regulate the regional dispersion and time dispersion of people's roadside parking, it is necessary to adjust the existing fixed prices to better maximize the utilization of roadside parking spaces.

[0004] The Chinese patent with the announcement number CN102110376B discloses a roadside parking space detection device based on computer vision, including a panoramic vision sensor installed on the roadside of a road with parking spaces, a microprocessor for analyzing the parking space status according to the parking space video data shot by the panoramic vision sensor, and the microprocessor includes a panoramic image acquisition unit, a parking space customization module, a parking space status detection module based on a sampling point model, and a parking space status information release module. The present invention provides a roadside parking space detection device based on computer vision, which has a wide detection range, high detection accuracy, good real-time detection, convenient implementation and maintenance, high performance-price ratio, strong environmental adaptability, good scalability and sustainable development, and is easy to implement on an embedded system. The device detects the status of a parking space on a road section, but can only detect the status of the parking space, cannot consider the parking demand of the entire area globally, and prompts parking. At the same time, it can only detect the status of the parking space, cannot adjust the time period price of the parking space according to the parking demand, and cannot adjust the parking demand through the price. Based on the above reasons, the present application provides a method for adjusting parking space prices in real time, which promotes full utilization of roadside parking spaces by adjusting prices and makes it more convenient for people to park.

[0005] The Chinese patent application number CN116168456A is a roadside public parking space automatic fee collection management system, which includes a parking space roadside track, a vehicle entry and exit ultrasonic sensing device, a license plate recognition card blocking device and a control display device. The parking space roadside track is set on the side of the roadside parking space. The license plate recognition card blocking device is set in the present invention to realize the recognition of the license plate and the acquisition of parking information. At the same time, the vehicle entry and exit ultrasonic sensing device detects whether the vehicle has exceeded the free time. If it has not exceeded, the system does not work, saving necessary action energy consumption, and then the license plate recognition card blocking device can be used to prevent someone from driving away without paying. The ultrasonic array on the control display device is used to identify the model of the vehicle, so that the system obtains the chassis height and length of the parked vehicle, etc., to avoid scratching when blocking the vehicle. The system can manage vehicles very well, but when it was actually put into use in Nanning, Guangxi Zhuang Autonomous Region, it was found that due to the small number of parking spaces in many sections, the equipment required to be invested is relatively large, and the initial cost is very high. At present, the effect is not very good. At the same time, when it was put into use, many vehicles had some opinions about the opaque price. Therefore, in order to better carry out real-time price regulation, a method for automatic regulation of roadside parking charges was designed. Summary of the invention

[0006] The purpose of the present invention is to provide a method for automatically adjusting the roadside parking fee price, so as to solve the technical problem that the price of existing roadside parking spaces remains unchanged and the parking price cannot be changed according to the parking demand at different times of each road section.

[0007] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0008] A method for automatically regulating roadside parking charges, the method comprising the following steps:

[0009] Step 1: Set the initial parking price, parking space information and location information for the additional parking spaces on the city roadside, and input them into the parking space price management system;

[0010] Step 2: The parking space price management system transmits the newly added parking space information and location information to the remote sensing satellite above the city;

[0011] Step 3: The remote sensing satellite collects images of the road sections with roadside parking spaces in the corresponding cities at regular intervals, annotates the collected road section images with coordinates and time information, and then transmits the annotated road section images to the roadside parking space price management system;

[0012] Step 4: The roadside parking space price management system establishes a real-time price adjustment system model for roadside parking spaces;

[0013] Step 5: Input the road section image information of several time periods sent back by the remote sensing satellite into the price adjustment system model to obtain the parking price of the roadside parking space in the next time period;

[0014] Step 6: within a period before the price changes, transmit the price information of the next stage to the users who have not left the parking space and update the parking price information of the next stage.

[0015] Furthermore, the specific process of step 1 is:

[0016] As the city expands, parking will become difficult and traffic volume will increase on the roads at the edge. It is necessary to plan roadside parking spaces on the side of the new road section. The relevant departments will then plan the number of parking spaces and their specific locations and generate corresponding drawings. The construction unit will then draw the parking space lines and give an initial parking price based on the city's parking fee price reference. When the remote sensing satellite does not collect images to give a new regulated price, the initial price will be used for charging. The parking space planning drawing information, the longitude and latitude information of the road, the road name and the initial price will then be summarized and entered into the parking space price management system.

[0017] Furthermore, the specific process of step 2 is:

[0018] The parking space price management system sends the longitude and latitude of the newly added roadside parking space, its name and charging time period to the remote sensing satellite via wireless. After receiving the new information, the remote sensing satellite returns the longitude and latitude information of the newly added road section as feedback that the new information has been received.

[0019] When changing existing roadside parking spaces, it is necessary to report to the parking space price management system at the same time, enter the time period for rectification and the parking space planning information after rectification into the parking space price management system, and then the parking space price management system will send the longitude and latitude, location information and the entire time period of the roadside parking spaces that need to be rectified to the remote sensing satellite via wireless. During the rectification time period, the remote sensing satellite will no longer collect images of the corresponding road sections until the rectification is completed, after which the parking space price management system will release the information to the remote sensing satellite that it can be reused, and then the remote sensing satellite will collect images of the corresponding road sections at regular intervals.

[0020] At the same time, for the construction sections, roadside parking spaces are cancelled, and the parking space price management system obtains the construction time and scope from the government municipal planning system in real time, and then transmits the construction time and construction section scope to the remote sensing satellite via wireless. The remote sensing satellite will no longer collect images of the corresponding road sections during the construction period.

[0021] Furthermore, the specific process of step 3 is:

[0022] The remote sensing satellite collects regular image data of the road sections in the city according to the set shooting sequence. The collected images are annotated with time and location. The location annotation includes the road section name, longitude and latitude, and road section identification range. The images are then transmitted back to the parking space price management system.

[0023] Furthermore, the specific process of step 4 is:

[0024] Step 4.1: Construct an image pixel marking layer. The image pixel marking layer is used to calibrate the size of the road section image sent back by the remote sensing satellite, and then perform pixel recognition on the calibrated image. When the pixel is less than the set value, perform pixel quantization to supplement the image pixel to meet the set requirements;

[0025] Step 4.2: Construct a car frame calibration layer. The car frame calibration layer performs preliminary recognition on the image, then obtains the outline of the object in the image, recognizes the outline, and when the position of the car outline is recognized, marks the car outline to obtain a car marked image;

[0026] Step 4.3: Construct an image correction layer, set a chessboard, and stick the chessboard on a plane. Then, for each new road segment recognition image, put it on the chessboard for the first time, and then manually mark the lane separation lines on the road segment to obtain the shape and position of the lane separation lines of each road segment on the chessboard. During the subsequent image recognition, the image correction layer first preliminarily recognizes the recognition image, and the specific position of the specific chessboard of each road segment is the lane separation line. When the preliminary recognition highlights that the lane separation line cannot be recognized at a specific position, the image is rotated, stretched or shrunk. After each operation, the image is recognized once until the lane separation line can be recognized at the specific position;

[0027] Step 4.4: Construct a roadside parking space and vehicle identification layer. According to the roadside parking space planning map during planning, determine whether the identified vehicle position is in the parking space, and then obtain the number of vacant parking spaces, the number of vehicles in the lane, and the number of vehicles that are neither in the lane nor in the parking space;

[0028] Step 4.5: Construct a price conversion layer. The price conversion layer sets the initial vehicle parking base for parking in different sections according to the time period, and then makes a difference between the number of vehicles in the identified parking spaces and the corresponding vehicle parking base, and multiplies the value obtained by the difference by the price base to obtain the first adjustment parameter. The price base is set by the system, and then the number of vehicles that are neither in the lane nor in the parking space is counted, and then the number of vehicles that are neither in the lane nor in the parking space is divided by the number of vehicles in the parking spaces, and then multiplied by the second price base to obtain the second adjustment parameter, and the number of vehicles in the identified lane is compared with the set lane number basis. When it is greater than zero, the congestion price base is negative, and when it is less than zero, the congestion price base is positive. The control output price is the initial price plus the first adjustment parameter, the second adjustment parameter and the congestion price base.

[0029] Furthermore, the specific process of step 5 is: set a time period, the remote sensing satellite collects images of the road section at fixed intervals, and then performs recognition processing on each image within a period, and obtains the number of vacant parking spaces, the number of vehicles in the lane, and the number of vehicles that are neither in the lane nor in the parking space for each image, and then adds up the data of all images for each item to find the average, and then uses the average data to calculate the parking price.

[0030] Furthermore, the specific process of step 6 is:

[0031] Through the license plate recognition device, the information of each user parked in the roadside parking space can be determined, and then the new price is converted and stored before execution, and then sent to each user's mobile phone in the form of a text message. If the price remains unchanged, there is no need to send a reminder message. When the price decreases or increases, a reminder message will be sent. Then, for vehicles that are not in the lane or in the parking space, the parking price will be broadcast to the user, and the latest price data will be transmitted to the charging system.

[0032] The present invention has the following beneficial effects due to the adoption of the above technical solution:

[0033] The present invention uses remote sensing satellites to collect images, and can collect data on road sections throughout the city. Then, the price is adjusted at fixed times according to the number of parking lots in each road section, so that the parking price is more in line with the actual needs. When the number of parked cars is large and congestion is likely to occur, the price is increased so that parked users can drive away the parked cars in time, thereby increasing the utilization rate of parking spaces. When there are fewer parked cars, the price is lowered to encourage users to park their cars in roadside parking spaces. When the traffic volume on the road section is large, in order not to cause congestion, the price is increased and the number of roadside parking spaces is reduced to avoid congestion. The price control of the present application is real-time, which changes the traditional situation that remains unchanged, and can fully improve the utilization rate of parking spaces without causing congestion. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many details listed in the specification are only for the purpose of enabling the reader to have a thorough understanding of one or more aspects of the present invention, and these aspects of the present invention can be implemented even without these specific details.

[0036] like Figure 1 As shown, a method for automatically adjusting the roadside parking price includes the following steps:

[0037] Step 1: Set the initial parking price, parking space information and location information for the additional parking spaces on the roadside of the city, and input them into the parking space price management system. As the city expands, the marginal roads will become difficult to park and the traffic volume will increase. It is necessary to plan roadside parking spaces on the side of the new road section, and then the relevant departments will plan the number of parking spaces and the specific location, and generate the corresponding drawings. The construction unit will then draw the parking space lines, and then give an initial parking price based on the city parking fee price reference. When the remote sensing satellite does not collect images to give a new regulation price, it is charged according to the initial price, and then the parking space planning drawing information, the longitude and latitude information of the road, the road name and the initial price are summarized and entered into the parking space price management system.

[0038] For example, Dongcheng Road in City A was originally not designated as a roadside parking space because it was relatively remote and had low traffic and pedestrian flow. However, due to the expansion of the city, many vehicles have been parked randomly on the roadside, not in fixed parking lots, causing congestion. In addition, some nearby residents have parked their cars on the roadside for a long time, causing hidden dangers to traffic.

[0039] To solve these problems, it is necessary to designate parking spaces on the roadside. The charging time is from 8:00 am to 7:30 pm. There is no charge at night for nearby residents to park at night. However, depending on the flow of people on the road, the parking space can be increased to 10 pm and then free, depending on the specific situation. The price at night remains unchanged because remote sensing satellites cannot clearly capture the price.

[0040] Step 2: The parking space price management system transmits the newly added parking space information and location information to the remote sensing satellite above the city. The parking space price management system wirelessly sends the longitude and latitude of the newly added roadside parking space, the name and the charging time period to the remote sensing satellite. After receiving the new information, the remote sensing satellite returns the longitude and latitude information of the newly added road section as feedback that the new information has been received. The parking space price management system communicates with the remote sensing satellite wirelessly to achieve data transmission between the two.

[0041] When making changes to existing roadside parking spaces, it is also necessary to report to the parking space price management system, enter the rectification time period and the parking space planning information after rectification into the parking space price management system, and then the parking space price management system will wirelessly send the longitude and latitude, location information and the entire time period of the roadside parking space that needs rectification to the remote sensing satellite. During the rectification time period, the remote sensing satellite will no longer collect images of the corresponding road section until the rectification is completed. After the parking space price management system releases the remote sensing satellite for reuse, the remote sensing satellite will perform regular image collection of the corresponding road section.

[0042] At the same time, for the construction sections, roadside parking spaces are cancelled, and the parking space price management system obtains the construction time and scope from the government municipal planning system in real time, and then transmits the construction time and construction section scope to the remote sensing satellite via wireless. The remote sensing satellite will no longer collect images of the corresponding road sections during the construction period.

[0043] Step 3: The remote sensing satellite collects timed images of the road sections with roadside parking spaces in the corresponding cities, annotates the coordinates and time information of the collected road section images, and then transmits the annotated road section images to the roadside parking space price management system. The remote sensing satellite collects timed image data of the road sections in the city according to the set shooting sequence, annotates the collected images with time and location, including the road section name, longitude and latitude, and road section identification range, and then transmits the images back to the parking space price management system.

[0044] Step 4: Roadside parking space price management system establishes a real-time price adjustment system model for roadside parking spaces.

[0045] Step 4.1: Construct an image pixel labeling layer. The image pixel labeling layer is used to calibrate the size of the road section image sent back by the remote sensing satellite, and then perform pixel recognition on the calibrated image. When the pixel is less than the set value, pixel quantization is performed to supplement the image pixel so that the image pixel meets the set requirements.

[0046] Step 4.2: Construct a car frame calibration layer. The car frame calibration layer performs preliminary recognition on the image, then obtains the outline of the object in the image, recognizes the outline, and when the position of the car outline is recognized, marks the car outline to obtain a car marked image.

[0047] Step 4.3: Construct an image correction layer, set a chessboard, and stick the chessboard on a plane. Then, for each new road section recognition image, put it on the chessboard for the first time, and then manually mark the lane separation lines on the road section to obtain the shape and position of the lane separation lines of each road section on the chessboard. During the subsequent image recognition, the image correction layer first preliminarily recognizes the recognition image, and the specific position of the specific chessboard of each road section is the lane separation line. When the preliminary recognition highlights that the lane separation line cannot be recognized at a specific position, the image is rotated, stretched or shrunk. After each operation, the image is recognized once until the lane separation line can be recognized at the specific position.

[0048] Step 4.4: Construct the roadside parking space and vehicle identification layer. According to the roadside parking space planning map during planning, determine whether the identified vehicle position is in the vehicle space, and then obtain the number of vacant parking spaces, the number of vehicles in the lane, and the number of vehicles that are neither in the lane nor in the parking space.

[0049] Step 4.5: Construct a price conversion layer. The price conversion layer sets the initial vehicle parking base for parking in different sections according to the time period, and then makes a difference between the number of vehicles in the identified parking spaces and the corresponding vehicle parking base, and multiplies the value obtained by the difference by the price base to obtain the first adjustment parameter. The price base is set by the system, and then the number of vehicles that are neither in the lane nor in the parking space is counted, and then the number of vehicles that are neither in the lane nor in the parking space is divided by the number of vehicles in the parking spaces, and then multiplied by the second price base to obtain the second adjustment parameter, and the number of vehicles in the identified lane is compared with the set lane number basis. When it is greater than zero, the congestion price base is negative, and when it is less than zero, the congestion price base is positive. The control output price is the initial price plus the first adjustment parameter, the second adjustment parameter and the congestion price base.

[0050] Step 5: Input the road section image information of several time periods sent back by the remote sensing satellite into the price adjustment system model to obtain the parking price of the roadside parking space in the next time period. Set a time period of 1 hour, and the remote sensing satellite collects images of the road section at a fixed time of 5 minutes, and then performs each recognition process on the images within a period, that is, 12 images will be collected for a road section in one hour, and each image will obtain the number of vacant parking spaces, the number of vehicles in the lane, and the number of vehicles that are not in the lane or in the parking space. Then, the data of all images are added up and averaged, and then the parking price is calculated using the average data. Each image will be recognized to obtain a data, and the average value needs to be taken to make the calculated price more in line with the actual situation.

[0051] Step 6: Transmit the next stage of price information to users who have not left the parking space and update the next stage of parking price information within a period of time before the price changes. Through the license plate recognition device, the information of each user parked in the roadside parking space can be determined, and then the new price is converted and stored before execution, and sent to each user's mobile phone in the form of text messages. If the price remains unchanged, no message reminder is sent. When the price decreases or increases, a message reminder is sent, and then the parking price is broadcast to the user for vehicles that are not in the lane or in the parking space, and the latest price data is transmitted to the charging system.

[0052] The method also includes parking space search query and illegal parking reminder and reporting functions.

[0053] After the image is input into the model through step 5, the intermediate quantity, the remaining quantity of parking spaces in each road section, can be obtained. The vacant parking spaces in each road section are aligned with the parking space planning, and the vacant parking spaces are marked in red. Then, the parking space price management system transmits the parking space vacancy image information to the external parking space search system, wherein, a parking space vacancy information map is sent once for each image recognized, and an image is sent every 5 minutes, which means that the parking space vacancy image data is sent once every 5 minutes, and then the external parking space search system is used for users to find parking spaces faster. At present, the overall search of the entire city has not been realized for roadside parking spaces. Each road section is equipped with an identification device, and then the data is sent. This requires a large number of identification devices, which is costly and troublesome to maintain. The parking space vacancy is announced while the price regulation of this application is carried out, and the roadside parking space query of the entire city is realized at the same time, and the accurate search of roadside parking spaces is realized.

[0054] The specific process of illegal parking reminder and reporting is as follows;

[0055] Through the road section images taken by remote sensing satellites, the data of vehicles that are not in the lanes or parking spaces are identified. When the number of vehicles that are not in the lanes or parking spaces is greater than a certain value within a period of time, a message is sent in the form of broadcast to remind users to drive away the car in time to avoid traffic congestion. At the same time, the data of vehicles that are not in the lanes or parking spaces are transmitted to the traffic police department, and the traffic police department arranges tow trucks to tow the vehicles or issue tickets according to the work, so as to achieve joint management of each road section with the traffic police department to avoid road congestion.

[0056] At the same time, this application also provides reminders of road construction. According to the road section information provided by this application, users can query the time of rectification or construction of each road section, and the specific time when the parking space is restored to parking, so as to achieve better intelligent parking.

[0057] The present application realizes the function that the existing parking space recognition devices cannot recognize, and can simultaneously recognize the roadside parking spaces in the entire city, which is impossible for the existing equipment or systems to realize. At the same time, the parking prices of parking spaces are adjusted according to the data of different roads, different times and different vehicles, thus changing the previous unchanging situation, better meeting people's parking needs, and effectively avoiding traffic congestion. At the same time, it can provide the nearest parking space query service for users who cannot find parking spaces in time, making it easier for users to park.

[0058] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for automatically controlling roadside parking charges, characterized in that: The method comprises the following steps: Step 1: Set the initial parking price, parking space information and location information for the additional parking spaces on the city roadside, and input them into the parking space price management system; Step 2: The parking space price management system transmits the newly added parking space information and location information to the remote sensing satellite above the city; Step 3: The remote sensing satellite collects images of the road sections with roadside parking spaces in the corresponding cities at regular intervals, annotates the collected road section images with coordinates and time information, and then transmits the annotated road section images to the roadside parking space price management system; Step 4: The roadside parking space price management system establishes a real-time price adjustment system model for roadside parking spaces; Step 5: Input the road section image information of several time periods sent back by the remote sensing satellite into the price adjustment system model to obtain the parking price of the roadside parking space in the next time period; Step 6: within a period before the price changes, transmit the price information of the next stage to the users who have not left the parking space and update the parking price information of the next stage.

2. The method for automatically controlling the roadside parking fee according to claim 1, characterized in that: The specific process of step 1 is: As the city expands, parking will become difficult and traffic volume will increase on the roads at the edge. It is necessary to plan roadside parking spaces on the side of the new road section. The relevant departments will then plan the number of parking spaces and their specific locations and generate corresponding drawings. The construction unit will then draw the parking space lines and give an initial parking price based on the city's parking fee price reference. When the remote sensing satellite does not collect images to give a new regulated price, the initial price will be used for charging. The parking space planning drawing information, the longitude and latitude information of the road, the road name and the initial price will then be summarized and entered into the parking space price management system.

3. The method for automatically controlling the roadside parking price according to claim 1, characterized in that: The specific process of step 2 is: The parking space price management system sends the longitude and latitude of the newly added roadside parking space, its name and charging time period to the remote sensing satellite via wireless. After receiving the new information, the remote sensing satellite returns the longitude and latitude information of the newly added road section as feedback that the new information has been received. When changing existing roadside parking spaces, it is necessary to report to the parking space price management system at the same time, enter the time period for rectification and the parking space planning information after rectification into the parking space price management system, and then the parking space price management system will send the longitude and latitude, location information and the entire time period of the roadside parking spaces that need to be rectified to the remote sensing satellite via wireless. During the rectification time period, the remote sensing satellite will no longer collect images of the corresponding road sections until the rectification is completed, after which the parking space price management system will release the information to the remote sensing satellite that it can be reused, and then the remote sensing satellite will collect images of the corresponding road sections at regular intervals. At the same time, for the construction sections, roadside parking spaces are cancelled, and the parking space price management system obtains the construction time and scope from the government municipal planning system in real time, and then transmits the construction time and construction section scope to the remote sensing satellite via wireless. The remote sensing satellite will no longer collect images of the corresponding road sections during the construction period.

4. The method for automatically controlling the roadside parking price according to claim 1, characterized in that: The specific process of step 3 is: The remote sensing satellite collects regular image data of the road sections in the city according to the set shooting sequence. The collected images are annotated with time and location. The location annotation includes the road section name, longitude and latitude, and road section identification range. The images are then transmitted back to the parking space price management system.

5. The method for automatically controlling the roadside parking price according to claim 1, characterized in that: The specific process of step 4 is: Step 4.1: Construct an image pixel marking layer. The image pixel marking layer is used to calibrate the size of the road section image sent back by the remote sensing satellite, and then perform pixel recognition on the calibrated image. When the pixel is less than the set value, perform pixel quantization to supplement the image pixel to meet the set requirements; Step 4.2: Construct a car frame calibration layer. The car frame calibration layer performs preliminary recognition on the image, then obtains the outline of the object in the image, recognizes the outline, and when the position of the car outline is recognized, marks the car outline to obtain a car marked image; Step 4.3: Construct an image correction layer, set a chessboard, and stick the chessboard on a plane. Then, for each new road segment recognition image, put it on the chessboard for the first time, and then manually mark the lane separation lines on the road segment to obtain the shape and position of the lane separation lines of each road segment on the chessboard. During the subsequent image recognition, the image correction layer first preliminarily recognizes the recognition image, and the specific position of the specific chessboard of each road segment is the lane separation line. When the preliminary recognition highlights that the lane separation line cannot be recognized at a specific position, the image is rotated, stretched or shrunk. After each operation, the image is recognized once until the lane separation line can be recognized at the specific position; Step 4.4: Construct a roadside parking space and vehicle identification layer. According to the roadside parking space planning map during planning, determine whether the identified vehicle position is in the parking space, and then obtain the number of vacant parking spaces, the number of vehicles in the lane, and the number of vehicles that are neither in the lane nor in the parking space; Step 4.5: Construct a price conversion layer. The price conversion layer sets the initial vehicle parking base for parking in different sections according to the time period, and then makes a difference between the number of vehicles in the identified parking spaces and the corresponding vehicle parking base, and multiplies the value obtained by the difference by the price base to obtain the first adjustment parameter. The price base is set by the system, and then the number of vehicles that are neither in the lane nor in the parking space is counted, and then the number of vehicles that are neither in the lane nor in the parking space is divided by the number of vehicles in the parking spaces, and then multiplied by the second price base to obtain the second adjustment parameter, and the number of vehicles in the identified lane is compared with the set lane number basis. When it is greater than zero, the congestion price base is negative, and when it is less than zero, the congestion price base is positive. The control output price is the initial price plus the first adjustment parameter, the second adjustment parameter and the congestion price base.

6. The method for automatically controlling the roadside parking fee according to claim 1, characterized in that: The specific process of step 5 is: set a time period, the remote sensing satellite collects images of the road section at fixed intervals, and then performs recognition processing on each image within a period, and obtains the number of vacant parking spaces, the number of vehicles in the lane, and the number of vehicles that are neither in the lane nor in the parking space for each image, and then adds up the data of all images for each item to get the average, and then uses the average data to calculate the parking price.

7. The method for automatically controlling the roadside parking price according to claim 1, characterized in that: The specific process of step 6 is: Through the license plate recognition device, the information of each user parked in the roadside parking space can be determined, and then the new price is converted and stored before execution, and then sent to each user's mobile phone in the form of a text message. If the price remains unchanged, there is no need to send a reminder message. When the price decreases or increases, a reminder message will be sent. Then, for vehicles that are not in the lane or in the parking space, the parking price will be broadcast to the user, and the latest price data will be transmitted to the charging system.

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