Highway free flow charging system based on cloud native technology

Abstract

The invention discloses an expressway free flow toll collection system based on a cloud native technology, relates to the technical field of expressway free flow toll collection, and aims to solve the problems of unclear toll collection items and inconvenient toll collection. Through a visual interface, an operator on duty can visually see the load condition of each ETC channel, the condition that some channels are overloaded and other channels are idle is avoided, and through a cloud native technology, a toll station control center can remotely monitor the operation condition of each ETC channel, so that the operation efficiency is improved. The highway free flow toll collection system based on the cloud native technology needs continuous technical innovation and upgrading to adapt to continuously changing traffic demands and technical environments, a spline curve is used for fitting a matched track, so that the fitted track is smoother and more continuous and can better reflect an actual driving path of a vehicle, and after fitting is completed, the actual driving path of the vehicle can be better reflected. The driving path of the vehicle on the expressway can be automatically marked as the vehicle guiding charging data.

Description

Technical Field

[0001] The present invention relates to the technical field of free-flow toll collection on highways, and in particular to a free-flow toll collection system on highways based on cloud native technology. Background Art

[0002] Free-flow toll collection on highways is a toll collection method based on electronic toll collection technology. It allows vehicles to travel freely on highways at the designed speed without slowing down or stopping to complete the toll collection process.

[0003] The Chinese patent with publication number CN111063042A discloses a free-flow toll path fitting system for highways based on big data. It mainly analyzes various states such as whether the highway is passable, the toll of the highway, the comfort of the highway and the distance of the highway, and can timely plan and fit an optimal highway route that meets its own needs. It solves the problem that traditional highways charge passing vehicles freely during operation without processing and analyzing the relevant data of the charges, which leads to the problem that many vehicles cannot plan and fit an optimal highway route that meets their own needs when they need to travel on the highway. Although the above patent solves the problem of path fitting, there are still the following problems in actual operation: 1. The vehicle information is not entered and received more completely, resulting in inaccurate verification results when the vehicle is verified.

[0004] 2. The toll station did not fit the vehicle's driving trajectory more accurately, resulting in the inability to audit the vehicle's trajectory.

[0005] 3. Before vehicles enter the ETC channel of the toll station, there is no targeted entry guidance based on the usage of the ETC channel on site, resulting in inconvenient traffic on site. Summary of the invention

[0006] The purpose of the present invention is to provide a highway free-flow toll collection system based on cloud native technology. Through the visual interface, the on-duty personnel can intuitively see the load conditions of each ETC channel to avoid the situation where some channels are overloaded while other channels are idle. Through cloud native technology, the toll station control center can remotely monitor the operation of each ETC channel. The highway free-flow toll collection system based on cloud native technology requires continuous technological innovation and upgrading to adapt to the ever-changing traffic needs and technical environment. The matching trajectory is fitted using a spline curve, so that the fitted trajectory is smoother and continuous, and can better reflect the actual driving path of the vehicle. After the fitting is completed, the vehicle's driving path on the highway can be automatically marked as vehicle-guided toll data, which can solve the problems in the prior art.

[0007] To achieve the above object, the present invention provides the following technical solutions: The highway free-flow toll collection system based on cloud-native technology includes: The vehicle information acquisition unit is used to: Confirm the real-time information and basic information of the vehicle, and obtain standard vehicle information data after confirmation; Toll booth information processing unit, used for: When a vehicle drives to a highway toll station, the toll station control center verifies the information of the vehicle according to the standard vehicle information data, and obtains the target toll vehicle data after the information verification is qualified; The cloud native platform data receiving and processing unit is used to: The toll station control center transmits the target toll vehicle data to the cloud native platform. The cloud native platform performs trajectory fitting on the received target toll vehicle data and obtains the vehicle guidance toll data after the fitting is completed. Vehicle charging and guidance processing unit, used for: The vehicle will be guided to the corresponding ETC channel based on the vehicle guidance charging data, and the deduction information will be sent to the online payment system for automatic deduction. After the automatic deduction, the deduction bill will be sent to the car owner through online banking.

[0008] Preferably, the vehicle information acquisition unit is further used for: An on-board positioning device is provided in the vehicle, and the on-board positioning device is used to obtain the vehicle's position data and generate driving trajectory data in real time; The real-time information of the vehicle includes vehicle location data, driving trajectory data, license plate number, vehicle speed, timestamp and ETC device status. For trucks, it also includes the number of vehicle axles and vehicle weight. The basic information of the vehicle includes the owner information, vehicle registration information, vehicle type, vehicle size, ETC account information, payment information and blacklist and whitelist status; After the real-time information and basic information of the vehicle are confirmed, standard vehicle information data is obtained.

[0009] Preferably, the toll station information processing unit is also used for: The highway toll station is equipped with a signal collection device, a camera device and a weighing scale. When a vehicle drives to the highway toll station, the signal collection device receives standard vehicle information data; The camera device uses image recognition technology to extract the license plate number, vehicle type and vehicle size, and compares the extracted license plate number, vehicle type and vehicle size with the license plate number, vehicle type and vehicle size in the standard vehicle information data, and determines whether the license plate number, vehicle type and vehicle size are qualified according to the comparison result; Then check the ETC device status and determine whether the ETC device status is activated based on the check result; The driving trajectory data in the standard vehicle information data is compared with the data obtained at each toll station, and the legality of the vehicle's driving trajectory is determined based on the comparison results.

[0010] Preferably, the toll station information processing unit is also used for: When the vehicle is a truck, the weighbridge at the highway toll station collects the number of axles and the weight of the truck in real time, and compares the real-time collected data with the number of axles and the weight of the truck in the standard vehicle information data; Verify the rationality of the timestamp in the standard vehicle information data; Determine whether the vehicle is a blacklist vehicle based on standard vehicle information data, and mark the blacklist vehicle as abnormal; After all verifications are completed and qualified, they are marked as target toll vehicle data; Vehicles with verified abnormalities will be prompted and manually guided.

[0011] Preferably, the cloud native platform data receiving and processing unit includes: Data transmission module for: The toll station control center confirms the target toll vehicle data and transmits it to the cloud-native platform; When the target toll vehicle data is transmitted, the data transmission volume of the target toll vehicle data is first confirmed; The data transmission volume is to divide the target toll vehicle data into a number of data segments with the same length, and to confirm the data transmission volume of the target toll vehicle data according to the number of data segments; Then confirm the transmission channel between the toll station control center and the cloud native platform, where the transmission channel data is no less than 9; Confirming the remaining capacity of each transmission channel, and selecting a transmission channel for the target toll vehicle data according to the remaining capacity of the channel, wherein the remaining capacity of the channel is greater than the transmission amount of the target toll vehicle data; When there are more than two transmission channels whose remaining channel capacity is greater than the transmission amount of the target toll vehicle data, the channel with the strongest signal strength among the multiple transmission channels is selected as the transmission channel of the target toll vehicle data.

[0012] Preferably, the data transmission module further includes: A transmission rate real-time monitoring module is used to monitor the data transmission rate of each transmission channel in real time; A data transmission index factor acquisition module, used to acquire a data transmission index factor corresponding to each transmission channel according to the data transmission rate of each transmission channel; The data transmission index factor corresponding to each transmission channel is obtained by the following formula: ; Wherein, R represents the data transmission index factor corresponding to each transmission channel; n represents the number of unit time that has been experienced by each transmission channel corresponding to the operation, and the unit time is 1s; B i represents the data transmission rate corresponding to the i-th unit time of the transmission channel; B i represents the data transmission rate corresponding to the i-th unit time of the transmission channel; B bi represents the standard deviation of the data transmission rate corresponding to the i-th unit time of the transmission channel; B bi-1 represents the standard deviation of the data transmission rate corresponding to the i-1th unit time of the transmission channel; B bmax It represents the maximum value of the standard deviation of data transmission rate among the n-1 standard deviations of data transmission rate generated when the transmission channel runs for n unit time; B n Indicates the data transmission rate of the transmission channel at the current moment; A comprehensive channel factor acquisition module, used to obtain a comprehensive channel factor by using the data transmission index factor corresponding to each transmission channel in combination with the data transmission rate of each transmission channel at the current moment; The target length acquisition module is used to obtain the target length by using the comprehensive channel factor combined with the data volume corresponding to the current target toll vehicle data; wherein the target length is the length corresponding to the data segment when the target toll vehicle data is divided.

[0013] Preferably, the comprehensive channel factor acquisition module includes: A data transmission index factor extraction module, used to extract the data transmission index factor corresponding to each transmission channel; A data transmission rate acquisition module, used to extract the data transmission rate of each transmission channel at the current moment; A value extraction module, used to filter out a maximum data transmission rate and a minimum data transmission rate corresponding to each transmission channel from the data transmission rate of each transmission channel at the current moment; An adjustment coefficient acquisition module, used to obtain an adjustment coefficient corresponding to each transmission channel by using the maximum data transmission rate and the minimum data transmission rate; The adjustment coefficient corresponding to each transmission channel is obtained by the following formula: ; Wherein, f represents the adjustment coefficient corresponding to each transmission channel; B max and B minThey represent the maximum data transmission rate and the minimum data transmission rate respectively; R represents the data transmission index factor corresponding to each transmission channel; B m01 Indicates the standard deviation of the data transmission rate corresponding to the maximum data transmission rate; B m02 Indicates the standard deviation of the data transmission rate corresponding to the time when the data transmission rate is minimum; A comprehensive channel factor acquisition execution module, used to obtain a comprehensive channel factor by using the adjustment coefficient corresponding to each transmission channel in combination with the data transmission index factor corresponding to each transmission channel; The comprehensive channel factor is obtained by the following formula: ; Where S represents the comprehensive channel factor; m represents the total number of transmission channels; f i represents the adjustment coefficient corresponding to the i-th transmission channel; R i represents the data transmission index factor corresponding to the i-th transmission channel; R b It represents the standard difference of data transmission index factors corresponding to m transmission channels.

[0014] Preferably, the target length acquisition module includes: A comprehensive channel factor extraction module, used to extract the comprehensive channel factor; A data volume extraction module is used to extract the data volume corresponding to the current target toll vehicle data; A historical data extraction module, used to extract the data volume corresponding to each target toll vehicle data in the historical transmission record of the data transmission module and the length of the corresponding data segment during the transmission process; A target length acquisition execution module is used to obtain the target length corresponding to the current target toll vehicle data when transmitting data by using the comprehensive channel factor and the data volume corresponding to the current target toll vehicle data, combined with the data volume corresponding to each target toll vehicle data in the historical transmission record of the data transmission module and the length of the corresponding data segment during the transmission process; The target length corresponding to the current target toll vehicle data during data transmission is obtained by the following formula: ; Wherein, K represents the target length corresponding to the data transmission of the current target toll vehicle data; K0 represents the preset initial data segment length; S represents the comprehensive channel factor; k represents the number of data transmissions of the target toll vehicle data; C i C represents the data volume corresponding to the data transmission of the i-th target toll vehicle data; x Indicates the preset data volume reference value; K irepresents the data segment length corresponding to the data transmission of the i-th target toll vehicle data; C0 represents the data volume corresponding to the current target toll vehicle data.

[0015] Preferably, the cloud native platform data receiving and processing unit further includes: Driving trajectory fitting module, used for: The cloud-native platform receives the target toll vehicle data and performs trajectory fitting; First, the driving trajectory data in the target toll vehicle data and the highway network are matched with the vehicle's GPS point and the closest road segment using a map matching algorithm; The matched trajectory is smoothed by using Kalman filtering, and the smoothed trajectory is judged by physical laws; Finally, the matching trajectory is fitted using a spline curve. After fitting, the vehicle's driving path on the highway is obtained and marked as vehicle guidance charging data.

[0016] Preferably, the vehicle charging and guidance processing unit includes: Vehicle guidance module, for: Carry out capacity pre-inspection on the ETC channels at expressway toll stations; Among them, the toll station control center monitors the number of waiting vehicles in each ETC channel in the toll station in real time; The monitored real-time vehicle data will be displayed on the display screen above each ETC channel as the number of waiting vehicles; Before a vehicle enters the ETC channel at a toll station, it will select the best one based on the number of waiting vehicles displayed on the display above each ETC channel; After the selection is completed, the vehicles will queue up to enter the ETC channel, and the number of waiting vehicles displayed on the display screen above each ETC channel and the on-site images of the toll station will be transmitted to the display screen of the duty personnel in a visual interface; ETC deduction module is used to: When a vehicle drives to the ETC channel of a toll station, the vehicle travel mileage is calculated based on the vehicle travel trajectory in the vehicle guidance toll data, and the travel fee is calculated based on the vehicle travel mileage; When a vehicle passes through the ETC channel of a toll station, the ETC channel communicates the deduction information with the ETC account information. The ETC account information sends the deduction information of the ETC channel to the online payment system, which automatically deducts the fee through the ETC account information. After the ETC account information is automatically deducted, the deduction bill will be sent to the car owner through online banking.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The highway free-flow toll collection system based on cloud-native technology provided by the present invention can provide intelligent scheduling and path planning suggestions for traffic management departments, alleviate traffic congestion, and improve road traffic efficiency. It can monitor the driving status of vehicles in real time, and promptly warn and handle behaviors such as speeding and illegal driving. With the support of cloud-native technology, real-time transmission, storage and processing of data can be achieved, avoiding data loss or delay and ensuring data integrity. Through the remote monitoring and management platform, operators can monitor the system operation status in real time.

[0018] 2. The free-flow toll collection system for highways based on cloud-native technology provided by the present invention uses spline curves to fit the matching trajectory, so that the fitted trajectory is smoother and continuous, and can better reflect the actual driving path of the vehicle. After the fitting is completed, the driving path of the vehicle on the highway can be automatically marked as vehicle guidance charging data, reducing the workload of manual marking. By accurately dividing the data segments and selecting appropriate channels, the loss or damage of data during transmission can be minimized. By confirming the remaining capacity of the channel and selecting the optimal channel, it helps to optimize resource utilization.

[0019] 3. The highway free-flow toll collection system based on cloud native technology provided by the present invention can enable the on-duty personnel to intuitively see the load status of each ETC channel through a visual interface, and take timely measures to balance the load to avoid the situation where some channels are overloaded while other channels are idle. Through cloud native technology, the toll station control center can remotely monitor the operation status of each ETC channel, discover and solve problems in a timely manner. The highway free-flow toll collection system based on cloud native technology requires continuous technological innovation and upgrading to adapt to the ever-changing traffic needs and technical environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of a free-flow toll collection unit for a highway according to the present invention; Figure 2 It is a schematic diagram of the free-flow toll collection process of the highway according to the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In order to solve the problem in the prior art that the vehicle information is not fully entered and received, resulting in inaccurate verification results when verifying the vehicle, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The highway free-flow toll collection system based on cloud-native technology includes: The vehicle information acquisition unit is used to: Confirm the real-time information and basic information of the vehicle, and obtain standard vehicle information data after confirmation; Toll booth information processing unit, used for: When a vehicle drives to a highway toll station, the toll station control center verifies the information of the vehicle according to the standard vehicle information data, and obtains the target toll vehicle data after the information verification is qualified; The cloud native platform data receiving and processing unit is used to: The toll station control center transmits the target toll vehicle data to the cloud native platform. The cloud native platform performs trajectory fitting on the received target toll vehicle data and obtains the vehicle guidance toll data after the fitting is completed. Vehicle charging and guidance processing unit, used for: The vehicle will be guided to the corresponding ETC channel based on the vehicle guidance charging data, and the deduction information will be sent to the online payment system for automatic deduction. After the automatic deduction, the deduction bill will be sent to the car owner through online banking.

[0023] Specifically, the vehicle information acquisition unit can provide intelligent scheduling and route planning suggestions to the traffic management department, alleviate traffic congestion, and improve road traffic efficiency. The toll station information processing unit can realize real-time transmission, storage and processing of data, avoid data loss or delay, and ensure data integrity. The cloud-native platform data receiving and processing unit ensures that the trajectory conforms to the actual driving conditions, and uses spline curves to fit the matching trajectory, making the fitted trajectory smoother and continuous. The toll station control center can remotely monitor the operation of each ETC channel and promptly discover and solve problems.

[0024] The vehicle information acquisition unit is also used for: An on-board positioning device is provided in the vehicle, and the on-board positioning device is used to obtain the vehicle's position data and generate driving trajectory data in real time; The real-time information of the vehicle includes vehicle location data, driving trajectory data, license plate number, vehicle speed, timestamp and ETC device status. For trucks, it also includes the number of vehicle axles and vehicle weight. The basic information of the vehicle includes the owner information, vehicle registration information, vehicle type, vehicle size, ETC account information, payment information and blacklist and whitelist status; After the real-time information and basic information of the vehicle are confirmed, standard vehicle information data is obtained.

[0025] Specifically, the on-board positioning device can obtain the vehicle's location data and driving trajectory in real time, which helps the system to accurately calculate the receivables and avoid missed or wrong charges. Through basic information such as license plate number and vehicle type, the system can accurately identify the vehicle to ensure that the toll collection is correct. Real-time acquisition of ETC equipment status helps the system to promptly discover and resolve equipment failures and ensure the normal implementation of ETC charging. Based on the vehicle's real-time location and driving trajectory, the system can provide intelligent scheduling and route planning suggestions to traffic management departments, alleviate traffic congestion, and improve road traffic efficiency. It can monitor the vehicle's driving status in real time, and promptly warn and handle speeding, illegal driving and other behaviors, thereby improving the level of intelligent traffic management. By providing accurate vehicle location and driving trajectory information, the system can provide car owners with more accurate navigation and travel services and enhance travel experience. Based on in-depth mining and analysis of vehicle data, highway management departments can explore new business models and service methods.

[0026] The toll booth information processing unit is also used for: The highway toll station is equipped with a signal collection device, a camera device and a weighing scale. When a vehicle drives to the highway toll station, the signal collection device receives standard vehicle information data; The camera device uses image recognition technology to extract the license plate number, vehicle type and vehicle size, and compares the extracted license plate number, vehicle type and vehicle size with the license plate number, vehicle type and vehicle size in the standard vehicle information data, and determines whether the license plate number, vehicle type and vehicle size are qualified according to the comparison result; Then check the ETC device status and determine whether the ETC device status is activated based on the check result; The driving trajectory data in the standard vehicle information data is compared with the data obtained at each toll station, and the legality of the vehicle's driving trajectory is determined based on the comparison results.

[0027] When the vehicle is a truck, the weighbridge at the highway toll station collects the number of axles and the weight of the truck in real time, and compares the real-time collected data with the number of axles and the weight of the truck in the standard vehicle information data; Verify the rationality of the timestamp in the standard vehicle information data; Determine whether the vehicle is a blacklist vehicle based on standard vehicle information data, and mark the blacklist vehicle as abnormal; After all verifications are completed and qualified, they are marked as target toll vehicle data; Vehicles with verified abnormalities will be prompted and manually guided.

[0028] Specifically, through automated means such as license plate recognition and vehicle type and size judgment, vehicles can pass through toll stations quickly without slowing down, significantly reducing waiting time in queues and the risk of traffic congestion. Automated data collection and processing reduces manual intervention, thereby improving the efficiency and safety of the entire toll collection process. Image recognition technology, weighbridges and other high-precision equipment can be used to collect vehicle information such as license plate number, vehicle type, vehicle size, number of axles and vehicle weight in real time and accurately, ensuring the accuracy of the data. With the support of cloud native technology, real-time transmission, storage and processing of data can be achieved, avoiding data loss or delay and ensuring data integrity. Through the remote monitoring and management platform, system operators can monitor the system operation status in real time, promptly discover and solve potential problems, and improve the reliability and stability of the system.

[0029] In order to solve the problem in the prior art that the toll station does not fit the vehicle's driving trajectory more accurately, thus making it impossible to audit the vehicle's trajectory, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The cloud native platform data receiving and processing unit includes: Data transmission module for: The toll station control center confirms the target toll vehicle data and transmits it to the cloud-native platform; When the target toll vehicle data is transmitted, the data transmission volume of the target toll vehicle data is first confirmed; The data transmission volume is to divide the target toll vehicle data into a number of data segments with the same length, and determine the data transmission volume of the target toll vehicle data according to the number of data segments; Then confirm the transmission channel between the toll station control center and the cloud native platform, where the transmission channel data is no less than 9; Confirming the remaining capacity of each transmission channel, and selecting a transmission channel for the target toll vehicle data according to the remaining capacity of the channel, wherein the remaining capacity of the channel is greater than the transmission amount of the target toll vehicle data; When there are more than two transmission channels whose remaining channel capacity is greater than the transmission amount of the target toll vehicle data, the channel with the strongest signal strength among the multiple transmission channels is selected as the transmission channel of the target toll vehicle data.

[0030] Specifically, by confirming the data transmission volume of the target toll vehicle data and selecting the transmission channel accordingly, the efficiency of data transmission is ensured. Dividing the data into several data segments of the same length helps to estimate the transmission demand more accurately, so as to select the most suitable transmission channel. The transmission channel data is not less than 9, which provides multiple options for data transmission. Among multiple channels, selecting the optimal channel according to the remaining channel capacity and signal strength helps to ensure the stability and reliability of data transmission. Transmitting data through multiple channels can reduce the risk of single channel transmission failure, thereby improving the security of data transmission. In addition, the scheme also implicitly guarantees the integrity and accuracy of data transmission, because by accurately dividing the data segments and selecting the appropriate channels, the loss or damage of data during transmission can be minimized. By confirming the remaining channel capacity and selecting the optimal channel, it helps to optimize resource utilization. It avoids the transmission bottleneck caused by insufficient channel capacity and also reduces the waste of resources caused by idle channels.

[0031] Specifically, the data transmission module further includes: A transmission rate real-time monitoring module is used to monitor the data transmission rate of each transmission channel in real time; A data transmission index factor acquisition module, used to acquire a data transmission index factor corresponding to each transmission channel according to the data transmission rate of each transmission channel; The data transmission index factor corresponding to each transmission channel is obtained by the following formula: ; Wherein, R represents the data transmission index factor corresponding to each transmission channel; n represents the number of unit time that has been experienced by each transmission channel corresponding to the operation, and the unit time is 1s; B i represents the data transmission rate corresponding to the i-th unit time of the transmission channel; B i represents the data transmission rate corresponding to the i-th unit time of the transmission channel; B bi represents the standard deviation of the data transmission rate corresponding to the i-th unit time of the transmission channel; B bi-1 represents the standard deviation of the data transmission rate corresponding to the i-1th unit time of the transmission channel; B bmax It represents the maximum value of the standard deviation of data transmission rate among the n-1 standard deviations of data transmission rate generated when the transmission channel runs for n unit time; B n Indicates the data transmission rate of the transmission channel at the current moment; A comprehensive channel factor acquisition module, used to obtain a comprehensive channel factor by using the data transmission index factor corresponding to each transmission channel in combination with the data transmission rate of each transmission channel at the current moment; The target length acquisition module is used to obtain the target length by using the comprehensive channel factor combined with the data volume corresponding to the current target toll vehicle data; wherein the target length is the length corresponding to the data segment when the target toll vehicle data is divided.

[0032] The technical effect of the above technical solution is: through the real-time monitoring module of the transmission rate, the data transmission rate of each transmission channel can be captured in real time, which is very critical for dynamic network environments and changes in network loads in different time periods. Real-time monitoring can ensure that the system can quickly respond to changes in network status, thereby optimizing data transmission efficiency. The data transmission index factor acquisition module uses the above mathematical formula to comprehensively evaluate the performance of each transmission channel. This formula takes into account multiple factors, including the data transmission rate per unit time, the standard deviation of the data transmission rate and its changes, and the data transmission rate at the current moment. This comprehensive evaluation method can more accurately reflect the stability and efficiency of the channel and help make more informed transmission decisions. The comprehensive channel factor acquisition module uses the data transmission index factor corresponding to each transmission channel and the current data transmission rate to calculate the comprehensive channel factor. This factor reflects the overall performance and current state of the channel and can be used to determine the optimal transmission channel or adjust the transmission strategy. The target length acquisition module determines the target length of data division based on the comprehensive channel factor and the data volume of the target toll vehicle data. This flexible data division strategy can ensure balanced transmission of data on different channels, avoid network congestion and data loss, and improve the efficiency and security of data transmission. Overall, this technical solution significantly improves the efficiency and security of data transmission through real-time monitoring, precise evaluation, optimized transmission strategy and flexible data partitioning. This is a very important technical improvement for toll vehicle data processing systems that require efficient and reliable data transmission. The various modules and formula designs in this technical solution have certain flexibility and adaptability, and can be adjusted and optimized according to different network environments, data volumes and transmission requirements. This enables this technical solution to be widely used in various scenarios that require efficient data transmission.

[0033] In summary, this technical solution has achieved a significant improvement in data transmission efficiency and security through real-time monitoring, precise evaluation, optimized transmission strategy and flexible data partitioning, providing strong technical support for the toll vehicle data processing system.

[0034] Specifically, the comprehensive channel factor acquisition module includes: A data transmission index factor extraction module, used to extract the data transmission index factor corresponding to each transmission channel; A data transmission rate acquisition module, used to extract the data transmission rate of each transmission channel at the current moment; A value extraction module, used to filter out a maximum data transmission rate and a minimum data transmission rate corresponding to each transmission channel from the data transmission rate of each transmission channel at the current moment; An adjustment coefficient acquisition module, used to obtain an adjustment coefficient corresponding to each transmission channel by using the maximum data transmission rate and the minimum data transmission rate; The adjustment coefficient corresponding to each transmission channel is obtained by the following formula: ; Wherein, f represents the adjustment coefficient corresponding to each transmission channel; B max and B min They represent the maximum data transmission rate and the minimum data transmission rate respectively; R represents the data transmission index factor corresponding to each transmission channel; B m01 Indicates the standard deviation of the data transmission rate corresponding to the maximum data transmission rate; B m02 Indicates the standard deviation of the data transmission rate corresponding to the time when the data transmission rate is minimum; A comprehensive channel factor acquisition execution module, used to obtain a comprehensive channel factor by using the adjustment coefficient corresponding to each transmission channel in combination with the data transmission index factor corresponding to each transmission channel; The comprehensive channel factor is obtained by the following formula: ; Where S represents the comprehensive channel factor; m represents the total number of transmission channels; f i represents the adjustment coefficient corresponding to the i-th transmission channel; R i represents the data transmission index factor corresponding to the i-th transmission channel; R b It represents the standard difference of data transmission index factors corresponding to m transmission channels.

[0035] The technical effect of the above technical solution is: through the data transmission index factor extraction module, the data transmission index factor corresponding to each transmission channel can be accurately obtained. This factor combines the historical performance and current status of the channel, and provides an important basis for subsequent channel selection. The data transmission rate acquisition module can capture the data transmission rate of each transmission channel at the current moment in real time, which is crucial for dynamically adjusting the transmission strategy and optimizing resource allocation. The adjustment coefficient acquisition module calculates the adjustment coefficient of each transmission channel by considering the maximum and minimum values ​​of the data transmission rate and the standard deviation of the data transmission rate corresponding to these two moments. This design not only considers the rate performance of the channel, but also considers the stability and fluctuation of the rate, so that the actual performance of the channel can be more comprehensively evaluated. The comprehensive channel factor acquisition execution module combines the adjustment coefficient and the data transmission index factor, and calculates the comprehensive channel factor through the above mathematical formula. This factor can reflect the overall performance and current status of each channel, and provides strong support for the formulation of data transmission strategies. By comparing the comprehensive channel factors of different channels, the channel with the best performance can be selected for data transmission, thereby maximizing transmission efficiency and reliability. At the same time, according to the changes in the channel factors, the transmission strategy can be dynamically adjusted to adapt to changes in the network environment. Each module and formula design in this technical solution has certain flexibility and adaptability, and can be adjusted and optimized according to different network environments, data volumes, and transmission requirements. This enables this technical solution to be widely used in various scenarios that require efficient data transmission and adapt to changes in different network environments. By comprehensively considering the rate performance, stability, and fluctuations of the channel, this technical solution can select the channel with the best performance for data transmission, thereby reducing the risk of data loss and transmission errors and enhancing the security and stability of data transmission.

[0036] In summary, this technical solution optimizes data transmission strategies and improves system adaptability through refined channel performance evaluation, real-time data rate monitoring, dynamic adjustment coefficient calculation, comprehensive channel factor calculation, etc. These technical effects are of great significance for systems that require efficient and reliable data transmission.

[0037] Specifically, the target length acquisition module includes: A comprehensive channel factor extraction module, used to extract the comprehensive channel factor; A data volume extraction module is used to extract the data volume corresponding to the current target toll vehicle data; A historical data extraction module, used to extract the data volume corresponding to each target toll vehicle data in the historical transmission record of the data transmission module and the length of the corresponding data segment during the transmission process; A target length acquisition execution module is used to obtain the target length corresponding to the current target toll vehicle data when transmitting data by using the comprehensive channel factor and the data volume corresponding to the current target toll vehicle data, combined with the data volume corresponding to each target toll vehicle data in the historical transmission record of the data transmission module and the length of the corresponding data segment during the transmission process; The target length corresponding to the current target toll vehicle data during data transmission is obtained by the following formula: ; Wherein, K represents the target length corresponding to the data transmission of the current target toll vehicle data; K0 represents the preset initial data segment length; S represents the comprehensive channel factor; k represents the number of data transmissions of the target toll vehicle data; C i C represents the data volume corresponding to the data transmission of the i-th target toll vehicle data; x Indicates the preset data volume reference value; K i represents the data segment length corresponding to the data transmission of the i-th target toll vehicle data; C0 represents the data volume corresponding to the current target toll vehicle data.

[0038] The technical effect of the above technical solution is: the target length acquisition execution module uses the above mathematical formula to accurately calculate the target length by integrating the channel factor, the data volume of the current target toll vehicle data and the relevant information in the historical transmission record. This calculation method takes into account the current state of the channel, the historical performance and the actual size of the data, so that the optimal length of the data segment can be determined more accurately, and the efficiency and reliability of data transmission can be improved. The technical solution can dynamically adjust the length of the data segment according to the change of the comprehensive channel factor to adapt to different channel conditions and data volume. This adaptive data transmission strategy helps to optimize resource allocation, reduce waste and bottlenecks in the data transmission process, and improve overall transmission efficiency. The historical data extraction module can extract the historical transmission records of the data transmission module, including the data volume corresponding to each target toll vehicle data and the length of the corresponding data segment during its transmission. These historical data provide valuable reference information for the calculation of the current target length, which helps to more accurately predict and evaluate the transmission performance under different data volumes and channel conditions. The design of each module and formula in the technical solution has certain flexibility and scalability. For example, the preset initial data segment length, data volume reference value and other parameters can be adjusted and optimized according to actual conditions. At the same time, this technical solution is also applicable to data transmission scenarios of different scales and types, and has strong versatility and adaptability. By accurately calculating the target length and optimizing the data transmission strategy, this technical solution can reduce errors and losses in the data transmission process and improve the stability and reliability of data transmission. This is of great significance for the toll vehicle data processing system that requires efficient and reliable data transmission. Through adaptive data transmission strategies and accurate target length calculation, this technical solution can more effectively utilize network resources and reduce unnecessary waste and redundancy. This helps to reduce the cost of data transmission and improve the economic benefits of the system.

[0039] In summary, this technical solution optimizes data transmission efficiency and maximizes resource utilization by accurately calculating target length, adaptive data transmission strategy, effectively using historical data, flexible and scalable design, and improving data transmission stability and reliability. These technical effects have very important practical application value for toll vehicle data processing systems that require efficient and reliable data transmission.

[0040] Driving trajectory fitting module, used for: The cloud-native platform receives the target toll vehicle data and performs trajectory fitting; First, the driving trajectory data in the target toll vehicle data and the highway network are matched with the vehicle's GPS point and the closest road segment using a map matching algorithm; The matched trajectory is smoothed by using Kalman filtering, and the smoothed trajectory is judged by physical laws; Finally, the matching trajectory is fitted using a spline curve. After fitting, the vehicle's driving path on the highway is obtained and marked as vehicle guidance charging data.

[0041] Specifically, the cloud-native platform has powerful real-time data processing capabilities, and can quickly receive and process large amounts of vehicle data to ensure the timeliness of trajectory fitting. The cloud-native platform can be elastically expanded according to business needs to cope with data processing pressure during peak periods and ensure the stability and reliability of the system. It uses a high-precision map matching algorithm to match the vehicle's GPS point with the closest road segment, which improves the accuracy of the trajectory. The matched trajectory is smoothed by Kalman filtering, which effectively reduces noise and errors, further improving the accuracy of the trajectory. The smoothed trajectory is judged by physical laws, such as the rationality of parameters such as speed and acceleration, to ensure that the trajectory conforms to the actual driving conditions. The matched trajectory is fitted using a spline curve, making the fitted trajectory smoother and continuous, and better reflecting the actual driving path of the vehicle. After fitting, the vehicle's driving path on the highway can be automatically marked as vehicle guidance toll data, reducing the workload of manual marking.

[0042] In order to solve the problem in the prior art that before vehicles enter the ETC channel of the toll station, there is no targeted entry guidance based on the usage of the ETC channel on site, which leads to inconvenient traffic on site, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: Vehicle charging and guidance processing unit, including: Vehicle guidance module, for: Carry out capacity pre-inspection on the ETC channels at expressway toll stations; Among them, the toll station control center monitors the number of waiting vehicles in each ETC channel in the toll station in real time; The monitored real-time vehicle data will be displayed on the display screen above each ETC channel as the number of waiting vehicles; Before a vehicle enters the ETC channel at a toll station, it will select the best one based on the number of waiting vehicles displayed on the display above each ETC channel; After the selection is completed, the vehicles queue up to enter the ETC channel, and the number of waiting vehicles displayed on the display screen above each ETC channel and the on-site images of the toll station are transmitted to the display screen of the on-duty personnel via a visual interface.

[0043] Specifically, the toll station control center monitors the number of waiting vehicles in each ETC channel in real time, and displays the data in real time on the display screen above each ETC channel. Before entering the toll station, vehicles can make a selection based on the number of waiting vehicles on the display screen, avoiding blind queuing and congestion. Car owners can flexibly choose ETC channels with fewer waiting vehicles based on the information on the display screen, thereby speeding up travel and reducing overall waiting time. The toll station control center can accurately grasp the real-time vehicle data of each ETC channel, which helps to more accurately manage and allocate toll station resources. Through the visual interface, the on-duty personnel can intuitively see the load status of each ETC channel and take timely measures to balance the load to avoid overloading of some channels while other channels are idle. Through cloud native technology, the toll station control center can remotely monitor the operation of each ETC channel and promptly discover and resolve problems.

[0044] ETC deduction module is used to: When a vehicle drives to the ETC channel of a toll station, the vehicle travel mileage is calculated based on the vehicle travel trajectory in the vehicle guidance toll data, and the travel fee is calculated based on the vehicle travel mileage; When a vehicle passes through the ETC channel of a toll station, the ETC channel communicates the deduction information with the ETC account information. The ETC account information sends the deduction information of the ETC channel to the online payment system, which automatically deducts the fee through the ETC account information. After the ETC account information is automatically deducted, the deduction bill will be sent to the car owner through online banking.

[0045] Specifically, when a vehicle passes through the ETC channel, the system can quickly identify the vehicle and complete the deduction without the need for the vehicle to slow down or stop, significantly improving the traffic efficiency. Since the deduction process is fast and automated, it reduces the waiting queues caused by manual collection, thereby reducing the risk of traffic congestion. The entire deduction process is automatically completed by the system without manual intervention, reducing management costs. Car owners only need to pre-set the payment method in the ETC account to realize automatic deduction. There is no need to carry cash or perform additional payment operations. The deduction bill is sent to the car owner through online banking, so that the car owner can clearly understand the cost of each pass. The highway free-flow toll collection system based on cloud native technology requires continuous technological innovation and upgrading to adapt to the ever-changing traffic needs and technological environment.

[0046] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0047] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A highway free-flow toll collection system based on cloud native technology, characterized by: include: The vehicle information acquisition unit is used to: Confirm the real-time information and basic information of the vehicle, and obtain standard vehicle information data after confirmation; Toll booth information processing unit, used for: When a vehicle drives to a highway toll station, the toll station control center verifies the information of the vehicle according to the standard vehicle information data, and obtains the target toll vehicle data after the information verification is qualified; The cloud native platform data receiving and processing unit is used to: The toll station control center transmits the target toll vehicle data to the cloud native platform. The cloud native platform performs trajectory fitting on the received target toll vehicle data and obtains the vehicle guidance toll data after the fitting is completed. Vehicle charging and guidance processing unit, used for: The vehicle will be guided to the corresponding ETC channel based on the vehicle guidance charging data, and the deduction information will be sent to the online payment system for automatic deduction. After the automatic deduction, the deduction bill will be sent to the car owner through online banking.

2. The highway free-flow toll collection system based on cloud native technology according to claim 1 is characterized in that: The vehicle information acquisition unit is further used for: An on-board positioning device is provided in the vehicle, and the on-board positioning device is used to obtain the vehicle's position data and generate driving trajectory data in real time; The real-time information of the vehicle includes vehicle location data, driving trajectory data, license plate number, vehicle speed, timestamp and ETC device status. For trucks, it also includes the number of vehicle axles and vehicle weight. The basic information of the vehicle includes the owner information, vehicle registration information, vehicle type, vehicle size, ETC account information, payment information and blacklist and whitelist status; After the real-time information and basic information of the vehicle are confirmed, standard vehicle information data is obtained.

3. The highway free-flow toll collection system based on cloud native technology according to claim 2 is characterized in that: The toll station information processing unit is further used for: The highway toll station is equipped with a signal collection device, a camera device and a weighing scale. When a vehicle drives to the highway toll station, the signal collection device receives standard vehicle information data; The camera device uses image recognition technology to extract the license plate number, vehicle type and vehicle size, and compares the extracted license plate number, vehicle type and vehicle size with the license plate number, vehicle type and vehicle size in the standard vehicle information data, and determines whether the license plate number, vehicle type and vehicle size are qualified according to the comparison result; Then check the ETC device status and determine whether the ETC device status is activated based on the check result; The driving trajectory data in the standard vehicle information data is compared with the data obtained at each toll station, and the legality of the vehicle's driving trajectory is determined based on the comparison results.

4. The highway free-flow toll collection system based on cloud native technology according to claim 3 is characterized in that: The toll station information processing unit is further used for: When the vehicle is a truck, the weighbridge at the highway toll station collects the number of axles and the weight of the truck in real time, and compares the real-time collected data with the number of axles and the weight of the truck in the standard vehicle information data; Verify the rationality of the timestamp in the standard vehicle information data; Determine whether the vehicle is a blacklist vehicle based on standard vehicle information data, and mark the blacklist vehicle as abnormal; After all verifications are completed and qualified, they are marked as target toll vehicle data; Vehicles with verified abnormalities will be prompted and manually guided.

5. The highway free-flow toll collection system based on cloud native technology according to claim 4 is characterized in that: The cloud native platform data receiving and processing unit includes: Data transmission module for: The toll station control center confirms the target toll vehicle data and transmits it to the cloud-native platform; When the target toll vehicle data is transmitted, the data transmission volume of the target toll vehicle data is first confirmed; The data transmission volume is to divide the target toll vehicle data into a number of data segments with the same length, and to confirm the data transmission volume of the target toll vehicle data according to the number of data segments; Then confirm the transmission channel between the toll station control center and the cloud native platform, where the transmission channel data is no less than 9; Confirming the remaining capacity of each transmission channel, and selecting a transmission channel for the target toll vehicle data according to the remaining capacity of the channel, wherein the remaining capacity of the channel is greater than the transmission amount of the target toll vehicle data; When there are more than two transmission channels whose remaining channel capacity is greater than the transmission amount of the target toll vehicle data, the channel with the strongest signal strength among the multiple transmission channels is selected as the transmission channel of the target toll vehicle data.

6. The highway free-flow toll collection system based on cloud native technology according to claim 5 is characterized in that: The data transmission module further includes: A transmission rate real-time monitoring module is used to monitor the data transmission rate of each transmission channel in real time; A data transmission index factor acquisition module, used to acquire a data transmission index factor corresponding to each transmission channel according to the data transmission rate of each transmission channel; The data transmission index factor corresponding to each transmission channel is obtained by the following formula: ； Wherein, R represents the data transmission index factor corresponding to each transmission channel; n represents the number of unit time that has been experienced by each transmission channel corresponding to the operation, and the unit time is 1s; B i represents the data transmission rate corresponding to the i-th unit time of the transmission channel; B bi represents the standard deviation of the data transmission rate corresponding to the i-th unit time of the transmission channel; B bi-1 represents the standard deviation of the data transmission rate corresponding to the i-1th unit time of the transmission channel; B bmax It represents the maximum value of the standard deviation of data transmission rate among the n-1 standard deviations of data transmission rate generated when the transmission channel runs for n unit time; B n Indicates the data transmission rate of the transmission channel at the current moment; A comprehensive channel factor acquisition module, used to obtain a comprehensive channel factor by using the data transmission index factor corresponding to each transmission channel in combination with the data transmission rate of each transmission channel at the current moment; The target length acquisition module is used to obtain the target length by using the comprehensive channel factor combined with the data volume corresponding to the current target toll vehicle data; wherein the target length is the length corresponding to the data segment when the target toll vehicle data is divided.

7. The highway free-flow toll collection system based on cloud native technology according to claim 6 is characterized in that: The comprehensive channel factor acquisition module comprises: A data transmission index factor extraction module, used to extract the data transmission index factor corresponding to each transmission channel; A data transmission rate acquisition module, used to extract the data transmission rate of each transmission channel at the current moment; A value extraction module, used to filter out a maximum data transmission rate and a minimum data transmission rate corresponding to each transmission channel from the data transmission rate of each transmission channel at the current moment; An adjustment coefficient acquisition module, used to obtain an adjustment coefficient corresponding to each transmission channel by using the maximum data transmission rate and the minimum data transmission rate; The adjustment coefficient corresponding to each transmission channel is obtained by the following formula: ； Wherein, f represents the adjustment coefficient corresponding to each transmission channel; B max and B min They represent the maximum data transmission rate and the minimum data transmission rate respectively; R represents the data transmission index factor corresponding to each transmission channel; B m01 Indicates the standard deviation of the data transmission rate corresponding to the maximum data transmission rate; B m02 Indicates the standard deviation of the data transmission rate corresponding to the time when the data transmission rate is minimum; A comprehensive channel factor acquisition execution module, used to obtain a comprehensive channel factor by using the adjustment coefficient corresponding to each transmission channel in combination with the data transmission index factor corresponding to each transmission channel; The comprehensive channel factor is obtained by the following formula: ； Where S represents the comprehensive channel factor; m represents the total number of transmission channels; f i represents the adjustment coefficient corresponding to the i-th transmission channel; R i represents the data transmission index factor corresponding to the i-th transmission channel; R b It represents the standard difference of data transmission index factors corresponding to m transmission channels.

8. The highway free-flow toll collection system based on cloud native technology according to claim 7 is characterized in that: The target length acquisition module comprises: A comprehensive channel factor extraction module, used to extract the comprehensive channel factor; A data volume extraction module is used to extract the data volume corresponding to the current target toll vehicle data; A historical data extraction module, used to extract the data volume corresponding to each target toll vehicle data in the historical transmission record of the data transmission module and the length of the corresponding data segment during the transmission process; A target length acquisition execution module is used to obtain the target length corresponding to the current target toll vehicle data when transmitting data by using the comprehensive channel factor and the data volume corresponding to the current target toll vehicle data, combined with the data volume corresponding to each target toll vehicle data in the historical transmission record of the data transmission module and the length of the corresponding data segment during the transmission process; The target length corresponding to the current target toll vehicle data during data transmission is obtained by the following formula: ； Wherein, K represents the target length corresponding to the data transmission of the current target toll vehicle data; K0 represents the preset initial data segment length; S represents the comprehensive channel factor; k represents the number of data transmissions of the target toll vehicle data; C i C represents the data volume corresponding to the data transmission of the i-th target toll vehicle data; x Indicates the preset data volume reference value; K i represents the data segment length corresponding to the data transmission of the i-th target toll vehicle data; C0 represents the data volume corresponding to the current target toll vehicle data.

9. The highway free-flow toll collection system based on cloud native technology according to claim 8, characterized in that: The cloud native platform data receiving and processing unit further includes: Driving trajectory fitting module, used for: The cloud-native platform receives the target toll vehicle data and performs trajectory fitting; First, the driving trajectory data in the target toll vehicle data and the highway network are matched with the vehicle's GPS point and the closest road segment using a map matching algorithm; The matched trajectory is smoothed by using Kalman filtering, and the smoothed trajectory is judged by physical laws; Finally, the matching trajectory is fitted using a spline curve. After fitting, the vehicle's driving path on the highway is obtained and marked as vehicle guidance charging data.

10. The highway free-flow toll collection system based on cloud native technology according to claim 9, characterized in that: The vehicle charging and guidance processing unit comprises: Vehicle guidance module, for: Carry out capacity pre-inspection on the ETC channels at expressway toll stations; Among them, the toll station control center monitors the number of waiting vehicles in each ETC channel in the toll station in real time; The monitored real-time vehicle data will be displayed on the display screen above each ETC channel as the number of waiting vehicles; Before a vehicle enters the ETC channel at a toll station, it will select the best one based on the number of waiting vehicles displayed on the display above each ETC channel; After the selection is completed, the vehicles will queue up to enter the ETC channel, and the number of waiting vehicles displayed on the display screen above each ETC channel and the on-site images of the toll station will be transmitted to the display screen of the duty personnel in a visual interface; ETC deduction module is used to: When a vehicle drives to the ETC channel of a toll station, the vehicle travel mileage is calculated based on the vehicle travel trajectory in the vehicle guidance toll data, and the travel fee is calculated based on the vehicle travel mileage; When a vehicle passes through the ETC channel of a toll station, the ETC channel communicates the deduction information with the ETC account information. The ETC account information sends the deduction information of the ETC channel to the online payment system, which automatically deducts the fee through the ETC account information. After the ETC account information is automatically deducted, the deduction bill will be sent to the car owner through online banking.

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