Intelligent management and control method and system for unattended charging service of expressway

Abstract

The invention discloses an intelligent management and control method and system for an unattended charging service of a highway, and belongs to the field of traffic management.The intelligent management and control method for the unattended charging service of the highway comprises the following steps that after a vehicle enters an ETC sensing area, current vehicle information and registered vehicle information corresponding to an ETC card are obtained, and the current vehicle information and the registered vehicle information are sent to an ETC server; the vehicle information comprises a license plate number, a vehicle type, a vehicle length, a vehicle width and a vehicle height; whether the current vehicle information corresponds to the registered vehicle information or not is judged, and if yes, the method has the advantages that the vehicle passing through the ETC special lane is authenticated, whether the vehicle is consistent with the registered vehicle of the ETC card or not is judged, whether the handrail is lifted or not is selected, and correct fee deduction of the ETC system is guaranteed; based on the length, width and height of the vehicle, the height, width and time of the lifting rail are changed to match the passing vehicle, so that the rear vehicle is difficult to pass when running into the station following the front vehicle, and toll evasion is avoided.

Description

Technical Field

[0001] The present invention belongs to the field of traffic management, and in particular relates to an intelligent management and control method and system for unmanned toll collection services on expressways. Background Art

[0002] The ETC card on the vehicle, that is, the electronic toll collection system card, is a very important part of intelligent transportation. The ETC card is a special IC card used to record user and vehicle information. It uses non-cash payment to pay highway tolls. After binding with the ETC system, when the vehicle passes through the ETC dedicated lane, the system will automatically deduct the toll from the bank account associated with the ETC card.

[0003] The highway tolls for different types of vehicles are different. When a vehicle passes through the ETC dedicated lane, there may be a situation where the actual vehicle does not match the model corresponding to the ETC card, which may cause the ETC system to be unable to deduct fees correctly and requires improvement. Summary of the invention

[0004] Based on this, it is necessary to provide an intelligent management and control method and system for unmanned toll collection services on highways to address the above-mentioned problems.

[0005] The embodiment of the present invention is implemented as follows: a method for intelligent management and control of unattended toll collection services on expressways, comprising the following steps:

[0006] After the vehicle enters the ETC sensing area, obtain the current vehicle information and the registered vehicle information corresponding to the ETC card. The vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height;

[0007] Determine whether the current vehicle information corresponds to the registered vehicle information. If so, control the ETC system at the toll station to deduct the toll through the ETC card; if not, feedback abnormal information;

[0008] After the toll is deducted, the railings on both sides of the control lane are raised.

[0009] In one embodiment, the present invention provides a method for intelligent management and control of unattended toll collection services on a highway, wherein after a vehicle enters an ETC sensing area, the step of obtaining current vehicle information and registered vehicle information corresponding to an ETC card, wherein the vehicle information includes a license plate number, vehicle model, vehicle length, vehicle width, and vehicle height, specifically includes:

[0010] After the vehicle enters the ETC sensing area, the ETC device on the roadside (RSU, Road Side Unit) communicates with the ETC device installed on the vehicle (OBU, On-Board Unit) to obtain the registered vehicle information corresponding to the ETC card;

[0011] Preprocess the vehicle images captured by the camera to improve the image quality. The preprocessing includes graying, denoising, and image enhancement. Extract the key features of the vehicle from the preprocessed images. The key features include the body outline, wheel style, and headlight shape. Match the extracted key features with the known vehicle model database and determine the model of the current vehicle by comparing the feature similarity.

[0012] The position of the vehicle and the license plate are located in the preprocessed image, the length, width and height of the current vehicle are obtained through size measurement, and the license plate number of the current vehicle is obtained through character recognition.

[0013] In one embodiment, the present invention provides an intelligent management and control method for unattended toll collection services on a highway, wherein the steps of locating the position of a vehicle and a license plate in a preprocessed image, obtaining the length, width and height of the current vehicle by dimensional measurement, and obtaining the license plate number of the current vehicle by character recognition specifically include:

[0014] Locating the position of the vehicle in the preprocessed image, the positioning method includes contour detection and edge detection; locating the position of the license plate in the preprocessed image, the positioning method includes color space conversion, morphological processing, and edge detection;

[0015] According to the parameters of the camera equipment and the pixel size of the vehicle in the image, the parameters include viewing angle and focal length, and the actual size of the vehicle is calculated using geometric relationships to obtain the length, width and height of the current vehicle;

[0016] In the located license plate area, the character area is segmented by color and texture information, and features are extracted from the segmented character area. The character recognition algorithm (such as template matching, shape analysis, OCR and other technologies) is used to identify the code of each character, and the identified character codes are spliced ​​into a complete license plate number.

[0017] In one embodiment, the present invention provides a method for intelligent management and control of unattended toll collection services on a highway, wherein the step of determining whether the current vehicle information corresponds to the registered vehicle information, and if so, controlling the ETC system of the toll station to deduct the toll through the ETC card; and if not, feeding back abnormal information specifically includes:

[0018] Compare the current vehicle information with the registered vehicle information in terms of license plate number, vehicle model, vehicle length, vehicle width, and vehicle height one by one;

[0019] If the current vehicle information corresponds to the registered vehicle information, the ETC system controlling the toll booth will automatically deduct the toll through the ETC card;

[0020] If the current vehicle information does not correspond to the registered vehicle information, record the abnormal time, record the current vehicle information and the registered vehicle information, issue a voice prompt that the vehicle information does not match, and upload the abnormal time, current vehicle information and the registered vehicle information to the cloud platform.

[0021] In one embodiment, the present invention provides a method for intelligent management and control of unattended toll collection services on a highway, wherein after deducting the toll, the step of controlling the raising of the barriers on both sides of the lane specifically includes:

[0022] After deducting the toll, the height of the guardrails on both sides of the lane is controlled based on the vehicle height in the current vehicle information and the registered vehicle information;

[0023] Based on the vehicle width in the current vehicle information and the registered vehicle information, the distance between the raised barriers on both sides of the lane is controlled;

[0024] Based on the current vehicle information and the vehicle length in the registered vehicle information, the raising time of the barriers on both sides of the lane is controlled.

[0025] In one embodiment, the present invention provides an intelligent management and control system for unattended toll collection services on expressways, comprising:

[0026] The vehicle information acquisition module is used to obtain the current vehicle information and the registered vehicle information corresponding to the ETC card after the vehicle enters the ETC sensing area. The vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height;

[0027] The vehicle information judgment module is used to judge whether the current vehicle information corresponds to the registered vehicle information. If so, the ETC system at the toll station is controlled to deduct the toll through the ETC card; if not, abnormal information is fed back;

[0028] The traffic control module is used to control the raising of the guardrails on both sides of the lane after deducting the toll.

[0029] In one embodiment, the present invention provides an intelligent management and control system for unattended toll collection services on a highway, wherein the vehicle information acquisition module includes:

[0030] The registered vehicle information acquisition unit is used to communicate with the ETC device (OBU, On-Board Unit) installed on the vehicle through the ETC device (RSU, Road Side Unit) on the roadside after the vehicle enters the ETC sensing area, and obtain the registered vehicle information corresponding to the ETC card;

[0031] The actual vehicle first information acquisition unit is used to pre-process the vehicle image captured by the camera device to improve the image quality, the pre-processing includes graying, denoising, and image enhancement; extract the key features of the vehicle from the pre-processed image, the key features include the body outline, wheel style, and headlight shape; match the extracted key features with the known vehicle model database, and determine the model of the current vehicle by comparing the feature similarity;

[0032] The second information acquisition unit of the actual vehicle locates the position of the vehicle and the license plate in the preprocessed image, obtains the length, width and height of the current vehicle through size measurement, and obtains the license plate number of the current vehicle through character recognition.

[0033] In one embodiment, the present invention provides an intelligent management and control system for unattended toll collection services on a highway, wherein the actual vehicle second information acquisition unit includes:

[0034] The vehicle license plate positioning subunit is used to locate the position of the vehicle in the preprocessed image, and the positioning methods include contour detection and edge detection; the vehicle license plate is located in the preprocessed image, and the positioning methods include color space conversion, morphological processing, and edge detection;

[0035] The actual size acquisition subunit is used to calculate the actual size of the vehicle using geometric relationships according to the parameters of the camera device and the pixel size of the vehicle in the image, including the viewing angle and focal length, and obtain the length, width and height of the current vehicle;

[0036] The license plate number acquisition subunit is used to segment the character area within the located license plate area through color and texture information, perform feature extraction on the segmented character area, use character recognition algorithms (such as template matching, shape analysis, OCR and other technologies) to identify the code of each character, and splice the identified character codes into a complete license plate number.

[0037] In one embodiment, the present invention provides an intelligent management and control system for unattended toll collection services on a highway, wherein the vehicle information judgment module includes:

[0038] The vehicle information comparison unit is used to compare the current vehicle information with the license plate number, vehicle model, vehicle length, vehicle width and vehicle height of the registered vehicle information one by one;

[0039] The vehicle information corresponding working unit is used to control the ETC system of the toll station to automatically deduct the toll through the ETC card if the current vehicle information corresponds to the registered vehicle information;

[0040] The vehicle information mismatch work unit is used to record the abnormal time, current vehicle information and registered vehicle information if the current vehicle information does not correspond to the registered vehicle information, issue a voice prompt that the vehicle information does not match, and upload the abnormal time, current vehicle information and registered vehicle information to the cloud platform.

[0041] In one embodiment, the present invention provides an intelligent management and control system for unattended toll collection services on a highway, wherein the traffic control module includes:

[0042] A barrier height control unit, which is used to control the height of the barrier on both sides of the lane based on the vehicle height in the current vehicle information and the registered vehicle information after deducting the toll;

[0043] A barrier interval control unit, used to control the interval distance of the barriers on both sides of the lane after they are raised based on the current vehicle information and the vehicle width in the registered vehicle information;

[0044] The barrier time control unit is used to control the barrier raising time on both sides of the lane based on the current vehicle information and the vehicle length in the registered vehicle information.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention authenticates vehicles passing through the ETC dedicated lane, determines whether it is consistent with the registered vehicle on the ETC card, and chooses whether to raise the barrier, thereby ensuring that the ETC system correctly deducts fees; based on the length, width, and height of the vehicle, the height, width, and time of raising the barrier are changed to match the passing vehicles, making it difficult for the following vehicle to pass through when it closely follows the front vehicle, thereby avoiding evasion of fees. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A flow chart of a method for intelligent management and control of unattended toll collection services on expressways provided in an embodiment of the present invention.

[0047] Figure 2 A schematic diagram of a process for obtaining vehicle information provided by an embodiment of the present invention.

[0048] Figure 3 A schematic diagram of the process of obtaining vehicle length, vehicle width, vehicle height and license plate provided in an embodiment of the present invention.

[0049] Figure 4 A schematic diagram of a flow chart for determining whether vehicle information corresponds and performing corresponding processing provided in an embodiment of the present invention.

[0050] Figure 5 A schematic diagram of a flow chart of a railing raising control method provided in an embodiment of the present invention.

[0051] Figure 6 A schematic diagram of an intelligent management and control system for unattended toll collection services on expressways provided in an embodiment of the present invention.

[0052] Figure 7 A schematic diagram of a vehicle information acquisition module provided in an embodiment of the present invention.

[0053] Figure 8 A schematic diagram of an actual vehicle second information acquisition unit provided in an embodiment of the present invention.

[0054] Fig. 9 A schematic diagram of a vehicle information determination module provided in an embodiment of the present invention.

[0055] Fig.10 A schematic diagram of a traffic control module provided in an embodiment of the present invention.

[0056] Fig.11 Schematic diagram of the handrail provided in an embodiment of the present invention when lowered and raised. DETAILED DESCRIPTION

[0057] 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 in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0059] In one embodiment, Figure 1 As shown, a method for intelligent management and control of unattended toll collection services on expressways is applied to an intelligent management and control system for unattended toll collection services on expressways, comprising the following steps:

[0060] Step S1, after the vehicle enters the ETC sensing area, obtain the current vehicle information and the registered vehicle information corresponding to the ETC card, the vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height;

[0061] Step S2, determining whether the current vehicle information corresponds to the registered vehicle information, if so, controlling the ETC system of the toll station to deduct the toll through the ETC card; if not, feeding back abnormal information;

[0062] Step S3, after deducting the toll, control the railings on both sides of the lane to rise.

[0063] After the vehicle enters the ETC sensing area, the ETC device on the roadside communicates with the ETC device installed on the vehicle to obtain the registered vehicle information corresponding to the ETC card; the current vehicle information is obtained through the vehicle image captured by the camera device to determine whether the license plate number, model, length, width, and height are consistent. Considering that there may be errors in the vehicle information captured and calculated by the camera device, the corresponding error tolerance range is set. When the vehicle information is consistent, it is determined whether the current vehicle information corresponds to the registered vehicle information, and the ETC system at the toll station is controlled to deduct the toll through the ETC card, and then the railings on both sides of the lane are controlled to rise to release the vehicle. If the vehicle information is inconsistent, abnormal information is fed back, and a voice prompt is given that the vehicle information does not match. The abnormal time, current vehicle information, and registered vehicle information are uploaded to the cloud platform.

[0064] In one embodiment, Figure 2 As shown, the step S1, after the vehicle enters the ETC sensing area, obtains the current vehicle information and the registered vehicle information corresponding to the ETC card, the vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height, specifically including:

[0065] Step S11, after the vehicle enters the ETC sensing area, the ETC device (RSU, Road Side Unit) on the roadside communicates with the ETC device (OBU, On-Board Unit) installed on the vehicle to obtain the registered vehicle information corresponding to the ETC card;

[0066] Step S12, preprocessing the vehicle image captured by the camera device to improve the image quality, the preprocessing includes graying, denoising, and image enhancement; extracting key features of the vehicle from the preprocessed image, the key features include body contour, wheel style, and headlight shape; matching the extracted key features with a known vehicle model database, and determining the model of the current vehicle by comparing feature similarity;

[0067] Step S13, locating the position of the vehicle and the license plate in the preprocessed image, obtaining the length, width and height of the current vehicle by dimensional measurement, and obtaining the license plate number of the current vehicle by character recognition.

[0068] Grayscale is the process of converting a color image into a grayscale image. Grayscale images only contain brightness information, not color information, which helps to simplify subsequent processing steps and reduce the amount of calculation. Common methods of grayscale are: component method: the brightness of the red, green, and blue components of the color image are used as the grayscale values ​​of the three grayscale images, and then a grayscale image is selected according to actual needs; maximum method, the maximum value of the red, green, and blue components of the color image is selected as the grayscale value; average method, the brightness of the red, green, and blue components of the color image is averaged to obtain a grayscale value. Since the human eye is most sensitive to green and least sensitive to blue, a relatively reasonable grayscale image can be obtained by weighted averaging the three RGB (red, green, and blue) components according to the formula.

[0069] Image denoising is the process of removing noise from an image. Noise may be caused by sensor noise of the camera device, interference during transmission, and other factors. Denoising helps improve the clarity and quality of the image. Common denoising methods include: filter-based methods, such as median filtering, adaptive Wiener filter, etc., and learning-based methods, such as denoising convolutional neural network (DnCNN).

[0070] Image enhancement aims to improve the visual effect and quality of an image to enhance its clarity and information content. Common image enhancement methods include: histogram equalization, which enhances the contrast of an image by adjusting the grayscale distribution of the image; contrast enhancement, which increases the contrast of an image to make the brightness difference in the image more obvious; brightness adjustment, which adjusts the brightness level of an image to make the image brighter or darker; and sharpening, which highlights the details and features in an image by enhancing the contrast of the image edges.

[0071] In one embodiment, Figure 3 As shown, the step S13, locating the position of the vehicle and the license plate in the preprocessed image, obtaining the length, width and height of the current vehicle by measuring the dimensions, and obtaining the license plate number of the current vehicle by character recognition, specifically includes:

[0072] Step S131, locating the position of the vehicle in the preprocessed image, the positioning method includes contour detection and edge detection; locating the position of the license plate in the preprocessed image, the positioning method includes color space conversion, morphological processing, and edge detection;

[0073] Step S132, according to the parameters of the camera device and the pixel size of the vehicle in the image, the parameters include the viewing angle and the focal length, and the actual size of the vehicle is calculated using the geometric relationship to obtain the length, width and height of the current vehicle;

[0074] Step S133, in the located license plate area, character areas are segmented by color and texture information, features are extracted from the segmented character areas, and the code of each character is identified using a character recognition algorithm (such as template matching, shape analysis, OCR and other technologies), and the identified character codes are spliced ​​into a complete license plate number.

[0075] When splicing the recognized character codes into a complete license plate number, it should be noted that the license plate formats of different countries and regions may be different. For example, a license plate number is usually composed of Chinese characters, English letters and Arabic numerals, with a total of seven characters. The first two are the area code (Chinese characters), the middle is a combination of letters and numbers, and the last three are numbers. Therefore, before splicing the license plate number, it is necessary to clarify the format rules of the target license plate.

[0076] In one embodiment, Figure 4 As shown, the step S2 determines whether the current vehicle information corresponds to the registered vehicle information. If so, the ETC system of the toll station is controlled to deduct the toll through the ETC card; if not, the abnormal information feedback step specifically includes:

[0077] Step S21, comparing the current vehicle information with the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height of the registered vehicle information one by one;

[0078] Step S22, if the current vehicle information corresponds to the registered vehicle information, the ETC system of the toll station is controlled to automatically deduct the toll through the ETC card;

[0079] Step S23, if the current vehicle information does not correspond to the registered vehicle information, record the abnormal time, record the current vehicle information and the registered vehicle information, give a voice prompt that the vehicle information does not match, and upload the abnormal time, current vehicle information and the registered vehicle information to the cloud platform.

[0080] When the current vehicle information corresponds to the registered vehicle information, the ETC system will calculate the toll payable based on factors such as the type of vehicle, distance traveled, and travel time. The ETC system will automatically deduct the calculated toll from the account corresponding to the ETC card. After the fee is successfully deducted, the lane guardrail will be lifted to allow the vehicle to pass.

[0081] In one embodiment, Figure 5 As shown, the step S3, after deducting the toll, controlling the raising of the barriers on both sides of the lane, specifically includes:

[0082] Step S31, after deducting the toll, based on the current vehicle information and the vehicle height in the registered vehicle information, controlling the height of the guardrails on both sides of the lane;

[0083] Step S32, based on the current vehicle information and the vehicle width in the registered vehicle information, controlling the spacing distance of the railings on both sides of the lane after they are raised;

[0084] Step S33, based on the current vehicle information and the vehicle length in the registered vehicle information, controlling the raising time of the barriers on both sides of the lane.

[0085] When vehicles pass through the ETC dedicated lane, there is a phenomenon of cutting in line to evade fees. The vehicle behind closely follows the vehicle in front to break through the station. In the ETC channel, if the distance between the two vehicles is close, the vehicle behind may borrow the equipment of the vehicle in front to deduct money normally or lift the barrier for accounting, and then pass closely behind it to evade fees. Here, based on the larger vehicle length, width, and height in the current vehicle information and the registered vehicle information (there are errors in the detection, and the larger value of the two is selected to avoid the vehicle from passing normally after the barrier is raised), the raising interval, height, and time of the barrier are adjusted, so that the barrier is specially provided for the detected vehicles to pass. When the vehicle behind closely follows to evade fees, it is difficult for the vehicle behind to pass due to the mismatch of the raising interval and height of the barrier. In addition, the raising time of the barrier also avoids vehicles following closely to evade fees. There is a significant difference in the length of large trucks and ordinary cars, and there is a significant difference in the corresponding barrier raising time. The working status of the barrier is as follows Fig.11 As shown, the left side shows the railing lowered state, and the right side shows the railing raised state.

[0086] In one embodiment, Figure 6 As shown, an intelligent management and control system for unattended toll collection services on expressways includes:

[0087] The vehicle information acquisition module 1 is used to obtain the current vehicle information and the registered vehicle information corresponding to the ETC card after the vehicle enters the ETC sensing area. The vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height;

[0088] The vehicle information judgment module 2 is used to judge whether the current vehicle information corresponds to the registered vehicle information. If so, the ETC system of the toll station is controlled to deduct the toll through the ETC card; if not, abnormal information is fed back;

[0089] The traffic control module 3 is used to control the raising of the guardrails on both sides of the lane after deducting the toll.

[0090] The money in the ETC card mainly comes from the bank account that the user has pre-charged or bound. The ETC card recharge methods include bank branch recharge and online recharge.

[0091] In one embodiment, Figure 7 As shown, the vehicle information acquisition module 1 includes:

[0092] The registered vehicle information acquisition unit 11 is used to communicate with the ETC device (OBU, On-Board Unit) installed on the vehicle through the ETC device (RSU, Road Side Unit) on the roadside after the vehicle enters the ETC sensing area, and obtain the registered vehicle information corresponding to the ETC card;

[0093] The actual vehicle first information acquisition unit 12 is used to pre-process the vehicle image captured by the camera device to improve the image quality, the pre-processing includes graying, denoising, and image enhancement; extract key features of the vehicle from the pre-processed image, the key features include body contour, wheel style, and headlight shape; match the extracted key features with a known vehicle model database, and determine the model of the current vehicle by comparing feature similarity;

[0094] The actual vehicle second information acquisition unit 13 locates the position of the vehicle and the license plate in the preprocessed image, obtains the length, width and height of the current vehicle through size measurement, and obtains the license plate number of the current vehicle through character recognition.

[0095] Apply various feature extraction algorithms, such as edge detection, corner detection, texture analysis, shape analysis, etc., to extract key features from the vehicle image. Key features include body contour, wheel style, headlight shape, and can also have lines, textures, etc. If the similarity between the key features of the vehicle extracted from the image and the key features of a certain model in the vehicle database exceeds the set threshold, it is considered a successful match, and the model of the current vehicle is obtained from the vehicle database based on the successfully matched key features.

[0096] In one embodiment, Figure 8 As shown, the actual vehicle second information acquisition unit 13 includes:

[0097] The vehicle license plate positioning subunit 131 is used to locate the position of the vehicle in the preprocessed image, and the positioning method includes contour detection and edge detection; the vehicle license plate is located in the preprocessed image, and the positioning method includes color space conversion, morphological processing, and edge detection;

[0098] The actual size acquisition subunit 132 is used to calculate the actual size of the vehicle using geometric relationships according to the parameters of the camera device and the pixel size of the vehicle in the image, including the viewing angle and focal length, to obtain the length, width and height of the current vehicle;

[0099] The license plate number acquisition subunit 133 is used to segment the character area within the located license plate area through color and texture information, extract features from the segmented character area, identify the encoding of each character using character recognition algorithms (such as template matching, shape analysis, OCR, etc.), and splice the identified character encodings into a complete license plate number.

[0100] Suppose the identified character encoding is "Jing A12345", where "Jing" is the area code, "A" is a letter, and "12345" is a number. According to the license plate format rules, these characters can be spliced in the order of "area code + letter + number" to obtain the complete license plate number "Jing A12345".

[0101] In one embodiment, as Fig. 9 shown, the vehicle information judgment module 2 includes:

[0102] The vehicle information comparison unit 21 is used to compare the current vehicle information with the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height of the registered vehicle information one by one;

[0103] The vehicle information corresponding working unit 22 is used to control the ETC system of the toll station to automatically deduct the toll through the ETC card if the current vehicle information corresponds to the registered vehicle information;

[0104] The vehicle information non - corresponding working unit 23 is used to record the abnormal time, record the current vehicle information and the registered vehicle information, give a voice prompt that the vehicle information does not match, and upload the abnormal time, the current vehicle information, and the registered vehicle information to the cloud platform.

[0105] Create a bucket or space on the cloud platform for storing the uploaded abnormal information. This usually involves setting parameters such as the name of the bucket, access permissions, and lifecycle. According to the requirements of the cloud platform, obtain the necessary access credentials, such as API keys, access tokens, etc. These credentials will be used to verify the identity and authorize access during the upload process. Organize the abnormal time, the current vehicle information, and the registered vehicle information to be uploaded into a file form, and upload it to the cloud platform. The file form can be a text file, a picture, a video, etc. Here it is a text file.

[0106] In one embodiment, as Fig.10 shown, the traffic control module 3 includes:

[0107] The railing height control unit 31 is used to control the rising height of the railings on both sides of the lane based on the vehicle height in the current vehicle information and the registered vehicle information after deducting the toll;

[0108] A barrier interval control unit 32, used to control the interval distance of the barriers on both sides of the lane after they are raised based on the current vehicle information and the vehicle width in the registered vehicle information;

[0109] The barrier time control unit 33 is used to control the barrier raising time on both sides of the lane based on the current vehicle information and the vehicle length in the registered vehicle information.

[0110] After a vehicle passes through the barrier, detailed information of the transaction will be recorded, including vehicle information, passage time, location, fee amount, etc. This information will be stored in the database of the intelligent management and control system and can also be uploaded to the cloud platform for subsequent query, audit or analysis.

[0111] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0112] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0113] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0114] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0116] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for intelligent management and control of unattended toll collection services on expressways, characterized in that: The method for intelligent management and control of unattended toll collection services on expressways comprises the following steps: After the vehicle enters the ETC sensing area, obtain the current vehicle information and the registered vehicle information corresponding to the ETC card. The vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height; Determine whether the current vehicle information corresponds to the registered vehicle information. If so, control the ETC system at the toll station to deduct the toll through the ETC card; if not, feedback abnormal information; After the toll is deducted, the railings on both sides of the control lane are raised.

2. The intelligent management and control method for unattended toll collection services on expressways according to claim 1 is characterized in that: After the vehicle enters the ETC sensing area, the step of obtaining the current vehicle information and the registered vehicle information corresponding to the ETC card, wherein the vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height, specifically includes: After the vehicle enters the ETC sensing area, the ETC device on the roadside communicates with the ETC device installed on the vehicle to obtain the registered vehicle information corresponding to the ETC card; Preprocess the vehicle images captured by the camera to improve the image quality. The preprocessing includes graying, denoising, and image enhancement. Extract the key features of the vehicle from the preprocessed images. The key features include the body outline, wheel style, and headlight shape. Match the extracted key features with the known vehicle model database and determine the model of the current vehicle by comparing the feature similarity. The position of the vehicle and the license plate are located in the preprocessed image, the length, width and height of the current vehicle are obtained through size measurement, and the license plate number of the current vehicle is obtained through character recognition.

3. The intelligent management and control method for unattended toll collection services on expressways according to claim 2 is characterized in that: The steps of locating the position of the vehicle and the license plate in the preprocessed image, obtaining the length, width and height of the current vehicle by measuring the dimensions, and obtaining the license plate number of the current vehicle by character recognition specifically include: Locating the position of the vehicle in the preprocessed image, the positioning method includes contour detection and edge detection; locating the position of the license plate in the preprocessed image, the positioning method includes color space conversion, morphological processing, and edge detection; According to the parameters of the camera equipment and the pixel size of the vehicle in the image, the parameters include viewing angle and focal length, and the actual size of the vehicle is calculated using geometric relationships to obtain the length, width and height of the current vehicle; In the located license plate area, the character area is segmented by color and texture information, and features are extracted from the segmented character area. The character recognition algorithm is used to identify the code of each character, and the identified character codes are spliced ​​into a complete license plate number.

4. The intelligent management and control method for unattended toll collection services on expressways according to claim 1 is characterized in that: The determining whether the current vehicle information corresponds to the registered vehicle information, and if so, controlling the ETC system of the toll station to deduct the toll through the ETC card; If not, the steps for reporting abnormal information include: Compare the current vehicle information with the registered vehicle information in terms of license plate number, vehicle model, vehicle length, vehicle width, and vehicle height one by one; If the current vehicle information corresponds to the registered vehicle information, the ETC system controlling the toll booth will automatically deduct the toll through the ETC card; If the current vehicle information does not correspond to the registered vehicle information, record the abnormal time, record the current vehicle information and the registered vehicle information, issue a voice prompt that the vehicle information does not match, and upload the abnormal time, current vehicle information and the registered vehicle information to the cloud platform.

5. The intelligent management and control method for unattended toll collection services on expressways according to claim 1 is characterized in that: The step of controlling the raising of the barriers on both sides of the lane after deducting the toll specifically includes: After deducting the toll, the height of the guardrails on both sides of the lane is controlled based on the vehicle height in the current vehicle information and the registered vehicle information; Based on the vehicle width in the current vehicle information and the registered vehicle information, the distance between the raised barriers on both sides of the lane is controlled; Based on the current vehicle information and the vehicle length in the registered vehicle information, the raising time of the barriers on both sides of the lane is controlled.

6. An intelligent management and control system for unattended toll collection services on expressways, characterized in that: The intelligent management and control system for unattended toll collection services on expressways includes: The vehicle information acquisition module is used to obtain the current vehicle information and the registered vehicle information corresponding to the ETC card after the vehicle enters the ETC sensing area. The vehicle information includes the license plate number, vehicle model, vehicle length, vehicle width, and vehicle height; The vehicle information judgment module is used to judge whether the current vehicle information corresponds to the registered vehicle information. If so, the ETC system at the toll station is controlled to deduct the toll through the ETC card; if not, abnormal information is fed back; The traffic control module is used to control the raising of the guardrails on both sides of the lane after deducting the toll.

7. The intelligent management and control system for unattended toll collection services on expressways according to claim 6 is characterized in that: The vehicle information acquisition module includes: A registered vehicle information acquisition unit is used to communicate with the ETC device installed on the vehicle through the ETC device on the roadside after the vehicle enters the ETC sensing area to acquire the registered vehicle information corresponding to the ETC card; The actual vehicle first information acquisition unit is used to pre-process the vehicle image captured by the camera device to improve the image quality, the pre-processing includes graying, denoising, and image enhancement; extract the key features of the vehicle from the pre-processed image, the key features include the body outline, wheel style, and headlight shape; match the extracted key features with the known vehicle model database, and determine the model of the current vehicle by comparing the feature similarity; The second information acquisition unit of the actual vehicle locates the position of the vehicle and the license plate in the preprocessed image, obtains the length, width and height of the current vehicle through size measurement, and obtains the license plate number of the current vehicle through character recognition.

8. The intelligent management and control system for unattended toll collection services on expressways according to claim 7 is characterized in that: The actual vehicle second information acquisition unit includes: The vehicle license plate positioning subunit is used to locate the position of the vehicle in the preprocessed image, and the positioning methods include contour detection and edge detection; the vehicle license plate is located in the preprocessed image, and the positioning methods include color space conversion, morphological processing, and edge detection; The actual size acquisition subunit is used to calculate the actual size of the vehicle using geometric relationships according to the parameters of the camera device and the pixel size of the vehicle in the image, including the viewing angle and focal length, and obtain the length, width and height of the current vehicle; The license plate number acquisition subunit is used to segment the character area in the located license plate area according to color and texture information, perform feature extraction on the segmented character area, use the character recognition algorithm to identify the code of each character, and splice the identified character codes into a complete license plate number.

9. The intelligent management and control system for unattended toll collection services on expressways according to claim 6 is characterized in that: The vehicle information judgment module includes: The vehicle information comparison unit is used to compare the current vehicle information with the license plate number, vehicle model, vehicle length, vehicle width and vehicle height of the registered vehicle information one by one; The vehicle information corresponding working unit is used to control the ETC system of the toll station to automatically deduct the toll through the ETC card if the current vehicle information corresponds to the registered vehicle information; The vehicle information mismatch work unit is used to record the abnormal time, current vehicle information and registered vehicle information if the current vehicle information does not correspond to the registered vehicle information, issue a voice prompt that the vehicle information does not match, and upload the abnormal time, current vehicle information and registered vehicle information to the cloud platform.

10. The intelligent management and control system for unattended toll collection services on expressways according to claim 6, characterized in that: The access control module includes: A barrier height control unit, which is used to control the height of the barrier on both sides of the lane based on the vehicle height in the current vehicle information and the registered vehicle information after deducting the toll; A barrier interval control unit, used to control the interval distance of the barriers on both sides of the lane after they are raised based on the current vehicle information and the vehicle width in the registered vehicle information; The barrier time control unit is used to control the barrier raising time on both sides of the lane based on the current vehicle information and the vehicle length in the registered vehicle information.

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