Highway toll passage management and control system based on cloud toll architecture

Abstract

The invention provides an expressway toll passing management and control system based on a cloud toll architecture, and relates to the field of road traffic management and control, and the expressway toll passing management and control system based on the cloud toll architecture comprises an expressway entry module, an information collection module, a data storage module, an information comparison module, a fee calculation module and an expressway exit module. Collection units in the information collection module are located at different high-speed positions to collect and store vehicle information, and if any item of data sent by three scanning units in the data storage module is lacked or file information data comparison is not passed, the data cannot pass. And the ramp collection unit is mounted in the middle of the ramp of the vehicle going down the highway intersection, so that data collection can be performed on the information of the passing vehicles going down the highway intersection, and the condition that the vehicles cannot be scanned after following the vehicles is not easily generated on the highway ramp section, thereby avoiding the vehicles following at the highway exit, and improving the traffic safety. And the scanner cannot scan, so that the highway cost is avoided.

Description

Technical Field

[0001] The present invention relates to the field of road traffic control, and in particular to a highway toll collection and traffic control system based on a cloud toll collection architecture. Background Art

[0002] Today's highway toll collection methods mainly include ETC toll collection, mobile payment and card scanning payment. Among them, ETC toll collection is through the microwave dedicated short-range communication between the on-board electronic tag installed on the vehicle windshield and the microwave antenna on the ETC lane at the toll station, and the computer networking technology is used to conduct back-end settlement processing with the bank, so that the vehicle can pay the highway toll without stopping. However, the owner needs to apply for and install and activate it in advance, and ensure that there is enough balance in the device or it is properly bound to the bank card; At the same time, ETC charging is done through dedicated microwave short-range communication between the on-board electronic tag and the microwave antenna of the toll station. Vehicles often follow other vehicles to avoid payment, which can easily lead to ETC users being unable to pass the highway exit even after deducting the highway tolls of other vehicles. If the ETC equipment fails, it may result in failure to deduct fees normally, and manual channel payment is required. At the same time, if extreme weather occurs on the highway, such as heavy fog, the existing information collection equipment will be affected by the natural environment, resulting in a decrease in recognition rate, thereby increasing the traffic pressure on the manual channel, and congestion at the highway exit will occur. Due to traffic congestion, vehicle scratches are prone to occur, reducing highway traffic efficiency and increasing the possibility of accidents.

[0003] Therefore, it is necessary to provide a new highway toll collection and traffic control system based on cloud toll collection architecture to solve the above technical problems. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a highway toll collection and traffic control system based on cloud toll collection architecture.

[0005] The present invention provides a highway toll passage control system based on a cloud toll collection architecture, comprising: a highway entry module, which is used to release and intercept vehicles entering the highway; The information collection module is used to collect and send vehicle information at the highway entrance, highway exit ramp and highway exit; A data storage module, used for receiving and storing all vehicle information sent by the information collection module; The information comparison module is used to call and compare the vehicle information collected at the high-speed entrance and the vehicle information collected at the high-speed exit ramp stored in the data storage module, and send the compared vehicle information to the fee calculation module; A fee calculation module, used to receive the information sent by the information comparison module after comparison, and calculate the highway fee according to the highway charging standard based on the vehicle information sent by the information comparison module, and generate a fee list and send it to the user client; High-speed exit module, used to release or intercept vehicles with normal or abnormal information; User client, used to provide payment services and charge record query.

[0006] The information collection module includes an entry collection unit, a ramp collection unit and an exit collection unit. The entry collection unit, the ramp collection unit and the exit collection unit are used to collect vehicle dynamic video information at the entry position and the gate position. The collected vehicle dynamic video information is converted into image information through a frame-by-frame feature interception algorithm. The converted image information is loaded and processed using a priori defogging algorithm. After the image is processed by the algorithm, it is automatically sent to the data storage module. The entry collection unit is used to collect the location information of the vehicle entering the station, the time of lifting the barrier at the entry, the license plate number information, the vehicle size information and the vehicle color information. The ramp collection unit is used to collect the station location information, license plate number information, vehicle size information and vehicle color information corresponding to the vehicle entering the ramp, and the exit collection unit is only used to collect the time of lifting the barrier at the exit and the license plate number information.

[0007] Preferably, the station entry collection unit and the ramp collection unit both use a camera, a video sensor, a color sensor, and a fill light. The specific operation steps of the station entry collection unit and the ramp collection unit are as follows: S101, video detection, through the combination of fill light, camera and video detection equipment, dynamic video monitoring can be carried out on the entrances and vehicles on the ramps at different time periods. S102, image conversion, then use the video dynamic image capture algorithm to detect the presence and movement status of the vehicle, perform image conversion processing on the video collected by the camera, so as to obtain the vehicle information image in the video, S103, image preprocessing, using a dark channel priori defogging algorithm to preprocess the acquired image to facilitate the extraction of content information in the image; S104, sending vehicle information, sending the vehicle information image pre-processed in step S103 as a vehicle information file to the data storage module.

[0008] Preferably, the processing steps of the data storage module include the following steps: S201, receiving information, receiving information sent by an entry collection unit, a ramp collection unit, and an exit collection unit; S202, generating information, automatically generating an entry information file, a ramp information file, and an exit information file according to the information received in step S201; S203, storing information, creating a folder named after the license plate number, and storing and calling corresponding station entry information files, ramp information files, and station information files.

[0009] Preferably, the processing steps of the high-speed entry module include the following steps: S301, scanning and recording, scanning and recording the license plate number of the vehicle entering the station gate through the station collection unit; S302, lift the barrier to enter. After scanning and recording, the entry collection unit sends a reception confirmation instruction to the high-speed entry module to control the barrier bar of the corresponding gate to lift and release the vehicle, so that the vehicle enters the highway.

[0010] Preferably, the information comparison module processing step includes the following steps: S401, calling data, calling out the folder corresponding to the license plate number stored in the data storage module, and calling out the station entry information file and the ramp information file in the folder; S402, legal verification, verify the retrieved entry information file and ramp information file, check whether the entry information file and ramp information file are missing, if there is no missing, proceed to the next step of data comparison, if there is missing, directly send it to the high-speed exit module to refuse to release its vehicle record, and apply for manual processing; S403, extracting conversion data, converting and extracting the called image data, so as to facilitate direct data comparison; S404, comparing data, using a forest algorithm to compare vehicle sizes and vehicle colors in the station entry information file and the ramp information file, to check whether the data correspond; S405, sending data, and comparing the data. If the data is the same, then sending the entrance location information, the exit information corresponding to the ramp, and the license plate number in the two files to the fee calculation module for calculation. If the comparison data is wrong, it is directly sent to the high-speed exit module to deny the vehicle, and an information error report is sent to the user client of the vehicle, so that the driver of the vehicle can predict the payment error in advance and directly go through the manual channel for processing.

[0011] Preferably, the processing steps of the fee calculation module include the following steps: S501, receiving information, receiving the station entrance location information, station entrance time, ramp corresponding station exit location information and license plate number information sent by the information comparison module; S502, calculating the toll, calculating the vehicle's travel expenses according to the toll standard of the expressway traveled; S503, sending the fee information, generating a bill for the calculated vehicle travel fee and sending it directly to the user client; S504, sending instruction information, sending a release instruction to the high-speed exit module, so that the vehicle can lift the bar to pass.

[0012] Preferably, the specific processing steps of step S502 are as follows: S601, calculating the distance, calculating the high-speed distance according to the location information of the entrance to the station and the location information of the exit corresponding to the ramp; S602, calculating the vehicle fee, according to the received vehicle size information, multiplying the distance charging standards for different types of vehicles on the expressway by the calculated number of expressway mileage to obtain the toll amount; The calculation formula is as follows: - indicates the total cost; -Indicates the high-speed pit stop location; -Indicates the high-speed exit location; - indicates distance; - indicates the standard charge sheet price; - Indicates the charging factors for different vehicle sizes;

[0013] Preferably, the use processing step of the user client includes the following steps: S701, scan code to confirm, the user client scans the code at the highway gate to enter, confirms the location information of the highway entrance, so that the gate of the entrance is lifted to allow the vehicle to enter the highway; S702, receiving the bill. When the vehicle reaches the ramp to exit the highway, the ramp information processing unit, the information comparison module and the fee calculation module complete data collection and fee calculation, so that the user client receives the highway bill information. S703, paying bills, using cloud payment platforms and mobile payment platforms to pay unpaid bills; S704: Record query, which can query all the user's paid and unpaid bills on all highways.

[0014] Preferably, the processing steps of the high-speed outbound module specifically include the following steps: S801, receiving instructions, receiving the passing instructions sent by the information comparison module and the fee calculation module; S802, judging the information, calling out the corresponding license plate information in the data storage module for comparison, and issuing a pass command signal; S803, execute instructions. When the vehicle drives to the highway exit, if it does not receive the instruction information sent by the information comparison module, but only receives the pass instruction sent by the fee calculation module, and at the same time receives the pass instruction signal sent by the highway exit module, it will lift the barrier to let the vehicle pass. Otherwise, the vehicle is prohibited from passing and manual intervention is required.

[0015] Preferably, the specific processing steps of the S802 license plate information comparison are as follows: S901, calling information, calling out the license plate number folder of the corresponding vehicle in the data storage module, and calling the ramp information file and the station information file in the file; S902, comparing information to compare vehicle size information, color information, and license plate number information in the ramp information file and the station information file; S903, sending instructions. After the ramp information file and the station information file are compared and passed, a release instruction is issued. Otherwise, the vehicle is prohibited from passing and manual intervention is requested.

[0016] Compared with related technologies, the highway toll collection and traffic control system based on cloud toll collection architecture provided by the present invention has the following beneficial effects: 1. The collection units inside the information collection module are located at different positions on the highway to collect and store vehicle information. If any of the data sent by the three scanning units inside the data storage module is missing, or the file information data comparison fails, it will not be passed. The ramp collection unit is installed in the middle position of the ramp of the vehicle exiting the highway, and can collect data on the information of the passing vehicles on the ramp of the vehicle exiting the highway. It is not easy for the vehicle to fail to be scanned on the highway ramp section. At the same time, the ramp collection unit is installed in the middle position of the ramp of the vehicle exiting the highway, which also avoids accidentally scanning the passing vehicles on the highway, thereby avoiding the situation where the vehicle follows the vehicle at the highway exit and the scanner cannot scan and evades the highway fee.

[0017] 2. The fee calculation module cooperates with the highway exit module to automatically send the highway bill to the user client. After the fee calculation module successfully sends the highway bill to the user client, it automatically sends a pass instruction to the highway exit module. The highway exit module only needs to simply check the vehicle information before allowing the vehicle to pass, thereby reducing congestion at the highway exit and improving vehicle passing efficiency.

[0018] 3. The use of the user client allows users to realize mobile and cloud payment, and can query highway driving records. At the same time, when the highway fee bill is not sent successfully, it can remind the driver to plan the route in advance and take the manual channel to solve the problem of bill sending failure, thereby reducing the number of vehicles entering the gate and being denied passage. The vehicle also needs to back out of the gate and turn to the manual gate for processing, reducing the occurrence of delays in the vehicle itself and the vehicles behind passing through the gate, and saving vehicle processing time.

[0019] 4. Collect the converted images for the station entry collection unit and the ramp collection unit, and pre-process the images through the dark channel prior defogging algorithm to make the data contained in the processed images clearer and facilitate the extraction and comparison of the internal information of the images, so that the comparison results are more accurate and efficient, and prevent the occurrence of abnormal comparison data due to unclear data collection caused by extreme weather, improve the accuracy of data comparison, reduce the toll pressure of the manual channel, and thus reduce the congestion at the highway exit. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A wireframe diagram of the overall process of a highway toll collection and traffic control system based on a cloud toll collection architecture provided by the present invention; Figure 2 A process wireframe diagram of the station entry collection unit and the ramp collection unit provided by the present invention; Figure 3 A wireframe diagram of the process of the data storage module provided by the present invention; Figure 4 A process wireframe diagram of the high-speed station entry module provided by the present invention; Figure 5 A process wireframe diagram of the information comparison module provided by the present invention; Figure 6 Provide a process wireframe diagram of the cost calculation module of the present invention; Figure 7 A wireframe diagram of the specific process of calculating vehicle costs provided by the present invention; Figure 8 A process wireframe diagram of the user client provided by the present invention; Fig. 9 A process wireframe diagram of the high-speed outbound module provided by the present invention; Fig.10 A wireframe diagram of the specific process of license plate information comparison provided by the present invention; Fig.11 A wireframe diagram of a unit inside the information collection module provided by the present invention; Fig.12 A structural block diagram of the internal equipment of the inbound collection unit provided by the present invention; Fig.13A structural block diagram of the internal equipment of the ramp information unit provided by the present invention; Fig.14 This is a structural block diagram of the internal equipment of the outbound information unit provided by the present invention. DETAILED DESCRIPTION

[0021] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0022] Please refer to Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 , Fig. 9 , Fig.10 , Fig.11 , Fig.12 , Fig.13 as well as Fig.14 ,in, Figure 1 A wireframe diagram of the overall process of a highway toll collection and traffic control system based on a cloud toll collection architecture provided by the present invention; Figure 2 A process wireframe diagram of the station entry collection unit and the ramp collection unit provided by the present invention; Figure 3 A wireframe diagram of the process of the data storage module provided by the present invention; Figure 4 A process wireframe diagram of the high-speed station entry module provided by the present invention; Figure 5 A process wireframe diagram of the information comparison module provided by the present invention; Figure 6 Provide a process wireframe diagram of the cost calculation module of the present invention; Figure 7 A wireframe diagram of the specific process of calculating vehicle costs provided by the present invention; Figure 8 A process wireframe diagram of the user client provided by the present invention; Fig. 9 A process wireframe diagram of the high-speed outbound module provided by the present invention; Fig.10 A wireframe diagram of the specific process of license plate information comparison provided by the present invention; Fig.11 A wireframe diagram of a unit inside the information collection module provided by the present invention; Fig.12 A structural block diagram of the internal equipment of the inbound collection unit provided by the present invention; Fig.13 The present invention provides a block diagram of the internal device of the ramp information unit; Fig.14 This is a structural block diagram of the internal equipment of the outbound information unit provided by the present invention.

[0023] In the specific implementation process, Figure 1-Figure 11 As shown, the present invention provides a highway toll collection and traffic control system based on a cloud toll collection architecture, including a highway entry module for releasing and intercepting vehicles entering the highway; The information collection module is used to collect and send vehicle information at the highway entrance, highway exit ramp and highway exit; A data storage module, used for receiving and storing all vehicle information sent by the information collection module; The information comparison module is used to call and compare the vehicle information collected at the high-speed entrance and the vehicle information collected at the high-speed exit ramp stored in the data storage module, and send the compared vehicle information to the fee calculation module; The fee calculation module is used to receive the information sent by the information comparison module after comparison, and calculate the highway fee according to the highway charging standard based on the vehicle information sent by the information comparison module, and generate a fee list and send it to the user client; High-speed exit module, used to release or intercept vehicles with normal or abnormal information; User client, used to provide payment services and charge record query; The information collection module includes an entry collection unit, a ramp collection unit and an exit collection unit. The entry collection unit, the ramp collection unit and the exit collection unit are used to collect vehicle dynamic video information at the entry position and the gate position. The collected vehicle dynamic video information is converted into image information through a frame-by-frame feature interception algorithm. The converted image information is loaded and processed using a priori defogging algorithm. After the image is processed by the algorithm, it is automatically sent to the data storage module. The entry collection unit is used to collect the position information of the vehicle entering the station, the time of lifting the barrier at the entry, the license plate number information, the vehicle size information and the vehicle color information. The ramp collection unit is used to collect the station position information, the license plate number information, the vehicle size information and the vehicle color information corresponding to the vehicle entering the ramp, and the exit collection unit is only used to collect the time of lifting the barrier at the exit and the license plate number information. It should be noted that the high-speed entry module and the high-speed exit module both use infrared sensing technology to scan the license plate numbers of passing vehicles, and cooperate with the station collection unit to respond to the command receiving board inside, and perform command operations to control the gate pole of the corresponding gate to lift and release; The data storage module uses the relational database MySQL for data storage and call, and stores it in the form of disk files. Usually, table data is stored in data files, and auxiliary data such as indexes are stored in index files. When data is stored, the database management system will write the data to the disk according to a certain storage strategy to ensure the persistence of the data, so that the user client can perform historical queries on high-speed records; The entry collection unit and the ramp collection unit both collect the vehicle's license plate number information, vehicle size information, and vehicle color information and send them to the MySQL relational database for storage. At the same time, the IP address numbers of the collection units and ramp collection units at each highway station are different. The IP address numbers can be uniformly numbered to mark the station location information. The vehicle entry location information and the station location information corresponding to the ramp can be directly stored in the MySQL relational database, so that its information comparison module and fee calculation module can calculate the vehicle's travel distance. The exit collection unit only needs to be equipped with a camera, an image sensor, and a communication component to scan and record the vehicle's license plate number information, so that vehicles that have legally entered the highway and have sent bill information can simply pass the scanning and comparison to be allowed to exit the highway.

[0024] The station entry collection unit and the ramp collection unit both use cameras, video sensors and fill lights. The specific operation steps of the station entry collection unit and the ramp collection unit are as follows: S101, video detection, through the coordination of fill light, camera and video detection equipment, dynamic video monitoring can be carried out on the entrance and vehicles on the ramp at different time periods; S102, image conversion, then using the video dynamic image capture algorithm to detect the presence and movement status of the vehicle, perform image conversion processing on the video collected by the camera, so as to obtain multiple vehicle information images in the video; S103, image preprocessing, and using a dark channel priori defogging algorithm to preprocess the multiple information images obtained, so as to facilitate the extraction of content information in the images; S104, sending vehicle information, sending the vehicle information image pre-processed in step S103 to the data storage module through the communication component; It should be noted that the Dark Channel Prior (DCP) defogging algorithm can remove the influence of fog and improve the clarity of the image. The steps of the Dark Channel Prior defogging algorithm mainly include the following steps: Step 1: Remove noise and enhance contrast. Convert the color image to a grayscale image, apply a Gaussian blur filter to reduce noise, use the Canny edge detection algorithm to detect edges in the image, and convert the image to a binary image for subsequent processing. Step 2: Calculate the dark channel map. For each pixel, find the minimum intensity value in its local area to form a dark channel map. Step 3: Estimate the atmospheric light value A, and select the top 0.1% of pixels with the highest brightness in the dark channel image as the atmospheric light value A; Step 4: Calculate the transmittance t using the following formula:

[0025] in: represents transmittance; is a constant, usually set to 0.95; is the pixel value in the dark channel image; is the atmospheric light value.

[0026] Step 5: Correct the transmittance and smooth the transmittance using guided filtering or other methods.

[0027] Step 6: Restore the fog-free image using the following formula:

[0028] in: represents the restored haze-free image; It is a foggy image; is the atmospheric light value; is the transmittance; is a small constant (such as 0.1) to prevent the denominator from being zero.

[0029] The processing steps of the data storage module include the following steps: S201, receiving information, receiving information sent by an entry collection unit, a ramp collection unit, and an exit collection unit; S202, generating information, automatically generating an entry information file, a ramp information file, and an exit information file according to the information received in step S201; S203, storing information, creating a folder named after the license plate number, and storing and calling corresponding station entry information files, ramp information files, and station information files.

[0030] The processing steps of the high-speed entry module include the following steps: S301, scan and record the license plate number of the vehicle entering the station gate through the station collection unit; S302, lift the barrier to enter. After the entry collection unit scans and records, it sends a reception confirmation instruction to the high-speed entry module to control the barrier bar of the corresponding gate to lift and release the vehicle, so that the vehicle can enter the highway.

[0031] The information comparison module processing steps include the following steps: S401, calling data, calling out the folder corresponding to the license plate number stored in the data storage module, and calling out the station entry information file and the ramp information file in the folder; S402, legal verification, verify the retrieved entry information file and ramp information file, check whether the entry information file and ramp information file are missing, if there is no missing, proceed to the next step of data comparison, if there is missing, directly send it to the high-speed exit module to refuse to release its vehicle record, and apply for manual processing; S403, extracting conversion data, converting and extracting the called image data to facilitate data comparison; S404, comparing data, using a forest algorithm to compare vehicle sizes and vehicle colors in the station entry information file and the ramp information file, and determining whether the compared data correspond; S405: Send data. If the data is the same as the comparison data, send the entrance location information, the exit information corresponding to the ramp and the license plate number in the two files to the fee calculation module for calculation. If the comparison data is wrong, send it directly to the high-speed exit module to refuse to release the vehicle, and send an information error report to the user client of the vehicle, so that the driver can predict the payment error in advance and directly go through the manual channel for processing; It should be noted that the specific steps of extracting the conversion data in step S403 are as follows: The first step is to locate the license plate. Morphological operations are used to remove small noise points and fill holes using opening and closing operations. Connected domain analysis is then used to find connected areas in the image. Possible license plate areas are screened out based on the size characteristics of the license plate. Contour detection is then performed. The find Contours function of OpenCV is used to detect contours in the image and screen out contours that match the shape of the license plate. The second step is to segment the license plate characters. The filtered license plate area is further binarized to better separate the characters. The further binarized license plate image is vertically projected to find the intervals between the characters, thereby segmenting each character. The third step is character recognition. For each segmented character area, a deep learning model (such as CNN) or a traditional machine learning method (such as SVM) is used to train a character recognition model. The segmented characters are input into the trained model to predict the category of each character. Step 4: Count the license plate numbers, display the identified license plate numbers on the image, and automatically create a new folder with the license plate numbers to save the image data files collected by the entry collection unit, ramp collection unit, and exit collection unit; The fifth step is to extract size features. The size features of the vehicle are extracted based on the feature point matching algorithm of the acquired image, and automatically saved in a new folder created with the license plate number to facilitate vehicle information comparison operations.

[0032] The processing steps of the cost calculation module include the following steps: S501, receiving information, receiving the station entrance location information, station entrance time, ramp corresponding station exit location information and license plate number information sent by the information comparison module; S502, calculating the toll, calculating the vehicle's travel expenses according to the toll standard of the expressway traveled; S503, sending the fee information, generating a bill for the calculated vehicle travel fee and sending it directly to the user client; S504, sending instruction information, sending a release instruction to the high-speed exit module, so that the vehicle can be released by lifting the bar.

[0033] The specific processing steps of step S502 are as follows: S601, calculating the distance, calculating the high-speed distance according to the location information of the entrance to the station and the location information of the exit corresponding to the ramp; S602, calculating the vehicle fee, according to the received vehicle size information, multiplying the distance charging standards for different types of vehicles on the expressway by the calculated number of expressway mileage to obtain the toll amount; The calculation formula is as follows: - indicates the total cost; -Indicates the high-speed pit stop location; -Indicates the high-speed exit location; - indicates distance; - indicates the standard charge sheet price; - Indicates the charging factors for different vehicle sizes;

[0034] In a specific implementation, if a Class II medium-sized passenger car travels on the Beijing-Taipei Expressway, enters the expressway from the Qianjiangyuan main line toll station (Anhui-Zhejiang provincial boundary) and exits the expressway from the Jiangsu-Anhui provincial boundary main line toll station, the highway fee can be obtained according to the Anhui Provincial Expressway Toll Standard:

[0035] The usage process of the user client includes the following steps: S701, scan code to confirm, the user client scans the code at the highway gate to enter, confirms the location information of the highway entrance, so that the gate of the entrance is lifted and released, allowing the vehicle to enter the highway; S702, receiving the bill. When the vehicle reaches the ramp to exit the highway, the ramp information processing unit, the information comparison module and the fee calculation module will complete the data collection and fee calculation, so that the user client will receive the highway bill information; S703, paying bills, using cloud payment platforms and mobile payment platforms to pay unpaid bills; S704: Record query, which can query all the user's paid and unpaid bills on the highway; It should be noted that the user client binds the driver's account information and the vehicle's license plate information before the vehicle enters the highway, which is used to receive bill information, cloud payment or mobile payment for highway fees, and query road history records.

[0036] The processing steps of the high-speed outbound module specifically include the following steps: S801, receiving instructions, receiving the passing instructions sent by the information comparison module and the fee calculation module; S802, judging the information, calling out the corresponding license plate information in the data storage module for comparison, and issuing a pass command signal; S803, execute the instruction. When the vehicle reaches the highway exit, if it does not receive the instruction information sent by the information comparison module, but only receives the pass instruction sent by the fee calculation module, and at the same time receives the pass instruction signal sent by the highway exit module, it will lift the barrier to let the vehicle pass. Otherwise, the vehicle will be prohibited from passing and manual intervention will be requested.

[0037] The specific processing steps for comparing the license plate information in step S802 are as follows: S901, calling information, calling out the license plate number folder of the corresponding vehicle in the data storage module, and calling the ramp information file and the station information file in the file; S902, comparing information to compare vehicle size information, color information, and license plate number information in the ramp information file and the station information file; S903, sending instructions. After the ramp information file and the station information file are compared and passed, a release instruction is issued. Otherwise, the vehicle is prohibited from passing and manual intervention is requested.

[0038] The working principle provided by the present invention is as follows: When a vehicle uses the expressway, first when the vehicle arrives at the expressway entrance, the expressway entrance module inside the entrance collection unit uses infrared sensing technology to scan the license plate numbers of passing vehicles, and the entrance collection unit collects video surveillance of the vehicles at the gate, and uses video capture and image conversion technology on the collected video to save the vehicle features in the video in the format of an image, and uses a dark channel prior defogging algorithm to process the image, and sends the processed image to the MySQL database for storage, automatically generating an entrance information file. While receiving the information, the MySQL database also collects the IP address of the entrance collection unit, and sends a release instruction to the expressway entrance module when the vehicle information is successfully collected and stored. , so that the gate lifts the barrier to release the vehicle, and the vehicle can enter the expressway. At the same time, the user client will receive the expressway entry information. When the vehicle is about to get off the expressway and drive to the ramp, the equipment inside the ramp collection unit on the expressway ramp will scan and collect the vehicles on the ramp section in the same way as the entry collection unit, and send it to the data storage module for data storage to automatically generate a ramp information file. The information comparison module will automatically start to verify the legality of the entry information file and the ramp information file stored in the data storage module. After the legal verification is passed, the image in the entry information file and the ramp information file is extracted through the image recognition algorithm. Vehicle size information, vehicle color and license plate number data information in the picture, and the collected vehicle The vehicle information is compared with the vehicle information. After the information comparison is passed, the vehicle size information, the highway entrance information and the corresponding exit information of the ramp are sent to the fee calculation module to calculate the highway fee. After the calculation is correct, the fee payment information is sent to the user client, and a passable instruction is sent to the highway exit module. When the vehicle drives to the highway exit, the camera and image sensor inside the exit collection unit will collect the final license plate number information data of the vehicle, and the collected information data will be stored in the MySQL database through the communication component, and an exit information file will be automatically generated. The highway exit module will automatically call out and compare the ramp information file in the data storage module and the compared ramp information file. After the comparison of the vehicle information in the information file and the exit information file is passed, and the highway exit module has not received the prohibition instruction information sent by the information comparison module for the vehicle, and only received the pass instruction sent by the fee calculation module, the barrier can be lifted to release the vehicle directly. If the file legality verification of the information comparison module fails, a prohibition release instruction is sent directly to the highway exit module. If the data comparison of the vehicle's entry information file and ramp information file fails, a prohibition release instruction is sent directly to the highway exit module, and a bill failure information reminder is sent to the user client at the same time, so that the driver can plan in advance to use the manual channel to solve the bill sending problem. If the highway exit module fails to pass the vehicle information comparison, the barrier will not be lifted, and manual intervention will be directly requested.

[0039] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A highway toll collection and traffic control system based on cloud toll collection architecture, characterized in that: include: High-speed entry module, used to release and intercept vehicles entering the highway; The information collection module is used to collect and send vehicle information at the highway entrance, highway exit ramp and highway exit; A data storage module, used for receiving and storing all vehicle information sent by the information collection module; The information comparison module is used to call and compare the vehicle information collected at the high-speed entrance and the vehicle information collected at the high-speed exit ramp stored in the data storage module, and send the compared vehicle information to the fee calculation module; A fee calculation module, used to receive the information sent by the information comparison module after comparison, and calculate the highway fee according to the highway charging standard based on the vehicle information sent by the information comparison module, and generate a fee list and send it to the user client; High-speed exit module, used to release or intercept vehicles with normal or abnormal information; User client, used to provide payment services and charge record query; The information collection module includes an entry collection unit, a ramp collection unit and an exit collection unit. The entry collection unit, the ramp collection unit and the exit collection unit are used to collect vehicle dynamic video information at the entry position and the gate position. The collected vehicle dynamic video information is converted into image information through a frame-by-frame feature interception algorithm. The converted image information is loaded and processed using a priori defogging algorithm. After the image is processed by the algorithm, it is automatically sent to the data storage module.

2. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 1 is characterized in that: The station entry collection unit and the ramp collection unit both use a camera, a video sensor, a color sensor, and a fill light. The specific operation steps of the station entry collection unit and the ramp collection unit are as follows: S101, video detection, through the coordination of fill light, camera and video detection equipment, dynamic video monitoring can be carried out on the entrances and vehicles on the ramps at different time periods; S102, image conversion, then using the video dynamic image capture algorithm to detect the presence and movement state of the vehicle, perform image conversion processing on the video collected by the camera, so as to extract the vehicle information image in the video; S103, image preprocessing, using a dark channel priori defogging algorithm to preprocess the acquired image to facilitate the extraction of content information in the image; S104, sending vehicle information, sending the vehicle information image pre-processed in step S103 as a vehicle information file to the data storage module.

3. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 2 is characterized in that: The processing steps of the data storage module include the following steps: S201, receiving information, receiving information sent by an entry collection unit, a ramp collection unit, and an exit collection unit; S202, generating information, automatically generating an entry information file, a ramp information file, and an exit information file according to the information received in step S201; S203, storing information, creating a folder named after the license plate number, and storing and calling corresponding station entry information files, ramp information files, and station information files.

4. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 3 is characterized in that: The processing steps of the high-speed entry module include the following steps: S301, scanning and recording, scanning and recording the license plate number of the vehicle entering the station gate through the station collection unit; S302, lift the barrier to enter. After scanning and recording, the entry collection unit sends a reception confirmation instruction to the high-speed entry module to control the barrier bar of the corresponding gate to lift and release the vehicle, so that the vehicle enters the highway.

5. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 4 is characterized in that: The information comparison module processing step includes the following steps: S401, calling data, calling out the folder corresponding to the license plate number stored in the data storage module, and calling out the station entry information file and the ramp information file in the folder; S402, legal verification, verify the retrieved entry information file and ramp information file, check whether the entry information file and ramp information file are missing, if there is no missing, proceed to the next step of data comparison, if there is missing, directly send it to the high-speed exit module to refuse to release its vehicle record, and apply for manual processing; S403, extracting conversion data, converting and extracting the called image data to facilitate data comparison; S404, comparing data, using a forest algorithm to compare the vehicle information files in the station entry information file and the ramp information file, and determining whether the vehicle information data corresponds; S405, sending data, and comparing the data. If the data is the same, then sending the entrance location information, the exit information corresponding to the ramp, and the license plate number in the two files to the fee calculation module for calculation. If the comparison data is wrong, it is directly sent to the high-speed exit module to deny the vehicle, and an information error report is sent to the user client of the vehicle, so that the driver of the vehicle can predict the payment error in advance and directly go through the manual channel for processing.

6. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 5 is characterized in that: The processing steps of the cost calculation module include the following steps: S501, receiving information, receiving the station entrance location information, station entrance time, ramp corresponding station exit location information and license plate number information sent by the information comparison module; S502, calculating the toll, calculating the vehicle's travel expenses according to the toll standard of the expressway traveled; S503, sending the fee information, generating a bill for the calculated vehicle travel fee and sending it directly to the user client; S504, sending instruction information, sending a release instruction to the high-speed exit module, so that the vehicle can lift the bar to pass.

7. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 6 is characterized in that: The specific processing steps of step S502 are as follows: S601, calculating the distance, calculating the high-speed distance according to the location information of the entrance to the station and the location information of the exit corresponding to the ramp; S602, calculating the vehicle fee, according to the received vehicle size information, multiplying the distance charging standards for different types of vehicles on the expressway by the calculated number of expressway mileage to obtain the toll amount.

8. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 7 is characterized in that: The use processing steps of the user client include the following steps: S701, scan code to confirm, the user client scans the code at the highway gate to enter, confirms the location information of the highway entrance, so that the gate of the entrance is lifted to allow the vehicle to enter the highway; S702, receiving the bill. When the vehicle reaches the ramp to exit the highway, the ramp information processing unit, the information comparison module and the fee calculation module complete data collection and fee calculation, so that the user client receives the highway bill information. S703, paying bills, using cloud payment platforms and mobile payment platforms to pay unpaid bills; S704: Record query, which can query all the user's paid and unpaid bills on all highways.

9. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 8 is characterized in that: The processing steps of the high-speed outbound module specifically include the following steps: S801, receiving instructions, receiving the passing instructions sent by the information comparison module and the fee calculation module; S802, judging the information, calling out the corresponding license plate information in the data storage module for comparison, and issuing a pass command signal; S803, execute instructions. When the vehicle reaches the highway exit, if it does not receive the instruction information sent by the information comparison module, but only receives the pass instruction sent by the fee calculation module, and at the same time receives the pass instruction signal from the highway exit module, it will lift the barrier to let the vehicle pass. Otherwise, the vehicle will be prohibited from passing and manual intervention will be requested.

10. The highway toll collection and traffic control system based on cloud toll collection architecture according to claim 9 is characterized in that: The specific processing steps of the license plate information comparison in step S802 are as follows: S901, calling information, calling out the license plate number folder of the corresponding vehicle in the data storage module, and calling the ramp information file and the station information file in the file; S902, comparing information to compare vehicle size information, color information, and license plate number information in the ramp information file and the station information file; S903, sending instructions. After the ramp information file and the station information file are compared and passed, a release instruction is issued. Otherwise, the vehicle is prohibited from passing and manual intervention is requested.

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