A precise charging and credit travel service system based on toll station data center

Abstract

This invention provides a precise tolling and credit-based travel service system based on a toll station data platform, relating to the field of intelligent transportation technology. It includes: a data platform foundation layer, a dynamic tolling engine, a credit assessment and value-added service system, a user interaction and billing system, an intelligent route guidance and congestion warning system, and a security and risk control system. This invention effectively overcomes the shortcomings of traditional toll collection systems, achieving precise tolling, differentiated services, and intelligent user experience. The dynamic tolling engine integrates multiple factors to achieve fair and guiding toll collection. The credit assessment system provides differentiated benefits based on user behavior, enhancing user stickiness and management efficiency. Intelligent route guidance optimizes travel choices based on real-time traffic conditions, improving road network efficiency. Simultaneously, the system ensures cost transparency and data security, significantly improving highway operating efficiency and user travel experience.

Description

Technical Field

[0001] This invention relates to the field of intelligent transportation technology, and in particular to a precise billing and credit-based travel service system based on a toll station data platform. Background Technology

[0002] With the development of intelligent transportation systems, the limitations of traditional highway toll collection models are becoming increasingly apparent, mainly in three aspects: static toll collection methods, homogenized services, and insufficient user experience. First, at the billing level, existing systems mainly rely on fixed rate tables or simple time-based and route-based discounts, lacking the ability to refine and dynamically adjust. This model cannot comprehensively consider multi-dimensional factors such as vehicle type, environmental rating, actual driving route, and user loyalty, resulting in unfair billing results and making it difficult to effectively guide traffic flow and encourage green travel. For example, it is unfair for environmentally friendly vehicles and high-emission vehicles to pay the same fee on the same road segment, and it is also not conducive to leveraging the price lever to regulate travel behavior.

[0003] Secondly, at the service level, traditional systems generally lack a credit assessment and value-added service system based on user behavior. All users receive the same service, and those high-quality users with good records and timely payments cannot obtain corresponding incentives (such as rate discounts, postpaid privileges, etc.). This design ignores user differences, is not conducive to cultivating user stickiness, and also misses the opportunity to optimize operation and management through credit mechanisms.

[0004] Finally, in terms of user experience, the existing system suffers from problems such as low cost transparency, poor interactivity, and lack of proactive services. Users often have unclear billing details, and the system usually does not have intelligent route guidance and congestion warning functions based on real-time traffic conditions. This leads to users making blind choices in route selection, which to some extent exacerbates local congestion and reduces the overall road network operating efficiency and travel experience. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and build a smart toll collection system that can achieve accurate dynamic billing, integrate a credit assessment system, and provide proactive guidance services, thus becoming the key to improving the operational efficiency and service quality of highways.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: A precise tolling and credit-based travel service system based on a toll station data platform includes: The data platform consists of a basic layer, a dynamic billing engine, a credit assessment and value-added service system, a user interaction and billing system, an intelligent route guidance and congestion warning system, and a security and risk control system. The data platform's basic layer is used to collect and manage multi-source traffic data from transportation infrastructure and vehicle terminals, and to provide data support for upper-layer systems. The dynamic billing engine is connected to the data platform infrastructure layer and is used to execute multi-dimensional dynamic billing rules based on the data provided by the data platform infrastructure layer. The credit assessment and value-added service system is connected to the data platform infrastructure layer and the dynamic billing engine, and is used to build a credit scoring model based on user data and provide differentiated services based on the credit score. The user interaction and billing system is connected to the dynamic billing engine and the credit assessment and value-added service system, and is used to generate and push user bills. The intelligent route guidance and congestion warning system is connected to the data platform base layer and is used to push route guidance information to users based on real-time traffic conditions. The security and risk control system is connected to various systems and is used for data security protection and risk behavior prevention.

[0007] Furthermore, the data platform infrastructure layer includes: The data acquisition unit is used to access real-time traffic data from ETC gantries, toll stations, cameras, and on-board units (OBUs), as well as external environment and road condition data. The data governance unit is used to clean and label the collected data to generate vehicle profiles.

[0008] Furthermore, the data governance unit will also store access records, billing rules, and credit scoring data via blockchain.

[0009] Furthermore, the dynamic billing engine includes: The rules configuration center is used to configure multi-dimensional billing strategies based on at least one of the following factors: time, path, environmental standards, and user loyalty. The real-time computing unit is used to match and execute tolling strategies based on real-time vehicle traffic data.

[0010] Furthermore, the credit assessment and value-added service system includes: Credit scoring models are used to dynamically calculate a user's credit score based on their travel behavior data. The Rights and Benefits Exchange Center is used to provide users with at least one of the following services based on their credit scores: pay after passing through, toll discounts, or third-party linked benefits.

[0011] Furthermore, the credit assessment and value-added service system also includes a credit repair mechanism, allowing users to improve their credit score by participating in designated traffic public welfare activities.

[0012] Furthermore, the user interaction and billing system includes: The bill generation unit is used to generate a pass bill that includes the original price, discount details, and credit score changes; Visual dashboards are used to display users' historical passage records, credit score trends, and fee predictions.

[0013] Furthermore, the intelligent route guidance and congestion early warning system includes: The real-time traffic analysis module is used to calculate the congestion index of road segments based on traffic data; The guidance strategy engine is used to push alternative routes and corresponding incentive information to vehicles based on the congestion index.

[0014] Furthermore, the incentive information includes path cost discounts or credit score rewards.

[0015] Furthermore, the security and risk control system includes: The data encryption module is used to encrypt and store vehicle identification and payment information. The anti-fraud engine is used to detect anomalies based on common behavior patterns and trigger risk control measures.

[0016] Compared with the prior art, the beneficial effects of the present invention are: This invention effectively overcomes the shortcomings of traditional toll collection systems, achieving precise billing, differentiated services, and intelligent user experience. It integrates multiple factors through a dynamic billing engine to achieve fair and guiding toll collection; a credit assessment system provides differentiated benefits based on user behavior, enhancing user stickiness and management efficiency; intelligent route guidance optimizes travel choices based on real-time traffic conditions, improving road network efficiency; simultaneously, the system ensures cost transparency and data security, significantly improving highway operating efficiency and user travel experience. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0019] This invention discloses a precise tolling and credit-based travel service system based on a toll station data platform, such as... Figure 1 As shown, it includes: The data platform consists of a basic layer, a dynamic billing engine, a credit assessment and value-added service system, a user interaction and billing system, an intelligent route guidance and congestion warning system, and a security and risk control system. The data platform foundation layer, serving as the data cornerstone of the entire system, is used to collect and manage multi-source traffic data from transportation infrastructure and vehicle terminals, and to provide comprehensive, accurate, and timely data support for upper-layer systems. Specifically, it possesses powerful data integration capabilities, is compatible with data of different formats and sources, and ensures data integrity and consistency. At the same time, the data platform foundation layer also has efficient data storage and management mechanisms, capable of handling the storage and rapid retrieval needs of massive amounts of data, providing a solid guarantee for the stable operation of upper-layer systems.

[0020] The basic layer of the data middle platform includes: The data acquisition unit is used to collect real-time traffic data from ETC gantries, toll stations, cameras, and on-board units (OBUs), as well as external environmental and road condition data. These data sources are extensive, covering all aspects of vehicle traffic, providing the system with rich data resources. At the same time, the data acquisition unit also possesses high reliability and real-time performance, ensuring the accuracy and timeliness of the data and providing strong support for decision-making in the upper-level system.

[0021] The data governance unit is used to clean and label the collected data to generate vehicle profiles. The data cleaning process removes noise and outliers, improving data quality. Labeling transforms the data into a more descriptive and analyzable form, facilitating data mining and analysis by upper-level systems. Furthermore, the data governance unit stores passage records, billing rules, and credit scoring data on a blockchain to ensure data immutability and traceability, providing strong guarantees for system security and trustworthiness.

[0022] The dynamic billing engine is tightly connected to the data platform's basic layer. It is used to execute multi-dimensional dynamic billing rules based on the data provided by the data platform's basic layer. It can dynamically adjust the billing strategy according to various factors such as real-time traffic conditions, vehicle type, and driving route to achieve a fairer and more reasonable billing method.

[0023] The dynamic billing engine includes: The rules configuration center is used to configure multi-dimensional billing strategies based on at least one of the following factors: time, route, environmental standards, and user loyalty. These strategies can be flexibly adjusted according to actual needs to meet billing requirements in different scenarios. For example, higher billing standards can be set during peak hours or on congested roads to guide traffic diversion. Certain billing discounts can be given to environmentally friendly vehicles or long-term loyal users.

[0024] The real-time computing unit is used to match and execute billing strategies based on real-time vehicle traffic data. It has efficient data processing capabilities, enabling it to complete the calculation and analysis of large amounts of data in a short time, ensuring the accuracy and timeliness of billing. At the same time, the real-time computing unit also has self-learning and optimization capabilities, which can continuously optimize billing strategies based on historical data and real-time feedback, thereby improving billing efficiency and user satisfaction.

[0025] The credit assessment and value-added service system connects to the data platform infrastructure layer and the dynamic billing engine. It is used to build credit scoring models based on user data and provide differentiated services according to the credit scores. By analyzing multi-dimensional data such as user behavior and payment records, it can comprehensively assess a user's creditworthiness and provide more personalized services.

[0026] The credit assessment and value-added services system includes: The credit scoring model is used to dynamically calculate a user's credit score based on their travel behavior data. This model uses advanced machine learning algorithms and big data analysis technology to accurately reflect a user's credit status and provide a reliable basis for credit assessment for the system.

[0027] The Rights and Benefits Exchange Center is used to provide users with at least one of the following services based on their credit scores: pay after passing through, toll discounts, or third-party linked benefits. These services can incentivize users to maintain good credit behavior and improve the overall credit level of the system. For example, users with high credit scores can be provided with the convenient service of pay after passing through; users whose credit scores reach a certain standard can be rewarded with toll discounts or third-party linked benefits.

[0028] The credit assessment and value-added services system also includes a credit repair mechanism, which allows users to improve their credit score by participating in designated traffic public welfare activities. This mechanism can encourage users to actively participate in traffic public welfare activities, enhance their sense of social responsibility, and at the same time help repair credit losses caused by unexpected situations and protect users' credit rights.

[0029] The user interaction and billing system connects with the dynamic billing engine and the credit assessment and value-added service system to generate and push user bills. It can generate detailed and clear toll bills based on the user's passage records and billing results, and push them to the user through multiple channels so that the user can view and verify them at any time.

[0030] The user interaction and billing system includes: The bill generation unit is used to generate toll bills that include the original price, discount details, and credit score changes. This unit can accurately calculate various fees and clearly display discount details and credit score changes, allowing users to understand their toll fees and credit status at a glance.

[0031] Visual dashboards are used to display users' historical travel records, credit score trends, and cost predictions. Through these dashboards, users can intuitively understand their travel history and credit changes, and also plan their travel routes and budgets based on cost predictions, thereby improving travel efficiency and economic benefits.

[0032] The intelligent route guidance and congestion warning system is connected to the data platform's basic layer and is used to push route guidance information to users based on real-time traffic conditions. It can provide users with the best travel route suggestions based on real-time traffic conditions and user travel needs, helping users avoid congested road sections and improve travel efficiency.

[0033] The intelligent route guidance and congestion warning system includes: The real-time traffic analysis module is used to calculate the congestion index of road segments based on traffic data. This module can monitor traffic flow, vehicle speed, and other data of each road segment in real time, and calculate the congestion index through algorithms, providing a basis for decision-making for the guidance strategy engine.

[0034] The guidance strategy engine is used to push alternative routes and corresponding incentive information to vehicles based on the congestion index. When the congestion index of a certain road segment is high, the guidance strategy engine will promptly push alternative route suggestions to vehicles and provide corresponding incentive information, such as route fee discounts or credit score rewards, to guide users to choose smoother travel routes.

[0035] The security and risk control system connects with various systems to protect data security and prevent risky behaviors. It ensures the security and confidentiality of system data, preventing data leaks and unauthorized access. Simultaneously, the security and risk control system can monitor user access patterns in real time, detect abnormal behavior, and trigger risk control measures to ensure stable system operation and protect user rights.

[0036] The security and risk control system includes: The data encryption module is used to encrypt and store vehicle identification and payment information. This module uses advanced encryption algorithms and technologies to ensure the security of vehicle identification and payment information during transmission and storage, and to prevent information leakage and illegal tampering.

[0037] The anti-fraud engine is used to detect anomalies based on traffic behavior patterns and trigger risk control measures. The anti-fraud engine can monitor users' traffic behavior patterns in real time, such as driving trajectory and speed changes, and compare and analyze them with normal behavior patterns. Once abnormal behavior is detected, such as frequent changes in driving route or speeding, the anti-fraud engine will immediately trigger risk control measures, such as restricting passage and issuing alarm prompts, to ensure the security and stability of the system.

[0038] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0039] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A precise tolling and credit-based travel service system based on a toll station data platform, characterized in that, include: The data platform consists of a basic layer, a dynamic billing engine, a credit assessment and value-added service system, a user interaction and billing system, an intelligent route guidance and congestion warning system, and a security and risk control system. The data platform's basic layer is used to collect and manage multi-source traffic data from transportation infrastructure and vehicle terminals, and to provide data support for upper-layer systems. The dynamic billing engine is connected to the data platform infrastructure layer and is used to execute multi-dimensional dynamic billing rules based on the data provided by the data platform infrastructure layer. The credit assessment and value-added service system is connected to the data platform infrastructure layer and the dynamic billing engine, and is used to build a credit scoring model based on user data and provide differentiated services based on the credit score. The user interaction and billing system is connected to the dynamic billing engine and the credit assessment and value-added service system, and is used to generate and push user bills. The intelligent route guidance and congestion warning system is connected to the data platform base layer and is used to push route guidance information to users based on real-time traffic conditions. The security and risk control system is connected to various systems and is used for data security protection and risk behavior prevention.

2. The system according to claim 1, characterized in that, The data platform infrastructure layer includes: The data acquisition unit is used to access real-time traffic data from ETC gantries, toll stations, cameras, and on-board units (OBUs), as well as external environment and road condition data. The data governance unit is used to clean and label the collected data to generate vehicle profiles.

3. The system according to claim 2, characterized in that, The data governance unit will also store passage records, billing rules, and credit score data via blockchain.

4. The system according to claim 1, characterized in that, The dynamic billing engine includes: The rules configuration center is used to configure multi-dimensional billing strategies based on at least one of the following factors: time, path, environmental standards, and user loyalty. The real-time computing unit is used to match and execute tolling strategies based on real-time vehicle traffic data.

5. The system according to claim 1, characterized in that, The credit assessment and value-added service system includes: Credit scoring models are used to dynamically calculate a user's credit score based on their travel behavior data. The Rights and Benefits Exchange Center is used to provide users with at least one of the following services based on their credit scores: pay after passing through, toll discounts, or third-party linked benefits.

6. The system according to claim 5, characterized in that, The credit assessment and value-added service system also includes a credit repair mechanism, allowing users to improve their credit score by participating in designated public welfare activities related to transportation.

7. The system according to claim 1, characterized in that, The user interaction and billing system includes: The bill generation unit is used to generate a pass bill that includes the original price, discount details, and credit score changes; Visual dashboards are used to display users' historical passage records, credit score trends, and fee predictions.

8. The system according to claim 1, characterized in that, The intelligent route guidance and congestion early warning system includes: The real-time traffic analysis module is used to calculate the congestion index of road segments based on traffic data; The guidance strategy engine is used to push alternative routes and corresponding incentive information to vehicles based on the congestion index.

9. The system according to claim 8, characterized in that, The incentive information includes route fee discounts or credit score rewards.

10. The system according to claim 1, characterized in that, The security and risk control system includes: The data encryption module is used to encrypt and store vehicle identification and payment information. The anti-fraud engine is used to detect anomalies based on common behavior patterns and trigger risk control measures.

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