A traffic data integration analysis system and method based on business domain

Abstract

The present invention relates to the technical field of integrated analysis of traffic data, and discloses a system for integrated analysis of traffic data based on a business field, including: a data acquisition module: responsible for collecting multi-source heterogeneous traffic flow data and GIS data from a variety of traffic facilities and equipment, the data acquisition module is connected in communication with a data management module, and transmits the data to the data management module; a data management module: used for importing, storing, classifying, organizing and managing data to ensure the quality and integrity of the data, the data management module is connected in communication with a data cleaning module and a data analysis module respectively, and provides the data to the data cleaning module and the data analysis module. The present invention proposes a system and method for integrated analysis of traffic data based on a business field, which solves the problems of lack of effective institutional guarantees and technical support for data privacy and security, fragmented information collection, and difficulty in obtaining a complete travel chain and the spatiotemporal laws of activities.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic data integration analysis, and in particular to a traffic data integration analysis system and method based on a business field. Background Art

[0002] In the field of transportation, big data applications have the characteristics of huge data volume, high diversity, high real-time requirements, strong decision-making support capabilities, and multi-field integrated applications. These characteristics make big data technology play an important role in the field of transportation. It can provide real-time traffic monitoring and road navigation services, provide support for traffic planning and safety decisions, and combine with technologies in other fields to build intelligent transportation systems and promote the integrated development of transportation and urban planning. However, existing technologies face many challenges when integrating and analyzing traffic data: 1. Data privacy and security: The data of citizens involving vehicle license plates, personal identities, and facial features lacks safe and effective institutional guarantees and technical support; 2. Data quality and completeness: Information collection is fragmented, making it difficult to obtain a complete travel chain and activity temporal and spatial patterns; 3. Data analysis and processing capabilities: Due to the lack of a high-performance computing platform, the current situation cannot be simulated in seconds, and the accuracy cannot support real-time regulation; 4. Top-level design and standard specifications: There is a lack of unified data classification, organization, and management standards, and the data access, processing, storage, and sharing processes are not standardized.

[0003] In order to solve the above problems, this application proposes a traffic data integration analysis system and method based on the business field. Summary of the invention

[0004] Based on the technical problems existing in the background technology, the present invention proposes a traffic data integration analysis system and method based on the business field.

[0005] The present invention proposes a traffic data integration analysis system based on business fields, including: Data acquisition module: responsible for collecting multi-source heterogeneous traffic flow data and GIS data from various traffic facilities and equipment. The data acquisition module communicates with the data management module and transmits the data to the data management module; Data management module: used for data import, storage, classification, organization and management to ensure data quality and integrity. The data management module communicates with the data cleaning module and the data analysis module respectively to provide data to the data cleaning module and the data analysis module; Data cleaning module: fuses and cleans the collected traffic data to eliminate noise and outliers in the data. The data cleaning module communicates with the data preprocessing module and passes the processed data to the data preprocessing module. Data preprocessing module: formats and standardizes the cleaned data to provide a unified data format for subsequent analysis. The data preprocessing module communicates with the data analysis module, and the output of the data preprocessing module serves as the input of the data analysis module. Data analysis module: Based on the pre-processed data, it performs real-time traffic monitoring, prediction, optimization and decision support. The data analysis module communicates with the business application module and the data visualization module respectively. The results of the data analysis module are used by the business application module and the data visualization module. Business application module: Based on the analysis results, it provides route guidance, traffic signal control optimization, and traffic accident prevention and handling business applications; Data visualization module: Display traffic operation status and analysis results through geographic information system to achieve intuitive visual monitoring; System security module: ensures the privacy and security of data during collection, storage, processing and application. The system security module communicates with other modules respectively.

[0006] Preferably, the data acquisition module includes: Sensor interface unit: responsible for communicating with sensors of various traffic facilities and equipment, such as vehicle detectors, cameras, and radars, to obtain real-time traffic flow data; GIS data interface unit: used to obtain spatial data from the geographic information system, such as road network, intersection layout, topography and landforms; Multi-source data fusion unit: fuses data from different sources to form a unified traffic data view.

[0007] Preferably, the data management module includes: Data import unit: responsible for importing the collected data into the system database; Data storage unit: provides storage mechanism to ensure data security and accessibility; Data classification and organization unit: classify and organize data according to data type and purpose to facilitate subsequent processing and analysis; Data Quality Monitoring Unit: Continuously monitor data quality to ensure data integrity and accuracy.

[0008] Preferably, the data cleaning module includes: Data denoising unit: eliminates noise in data, such as random errors and outliers; Outlier detection and processing unit: Identify and process outliers in the data to ensure data accuracy; Data fusion and verification unit: Fusion of data from different sources, and verification to ensure data consistency.

[0009] Preferably, the data preprocessing module includes: Data formatting unit: converts the cleaned data into a unified data format for subsequent analysis; Data standardization unit: standardizes data to eliminate data differences between different data sources; Data augmentation unit: Complete missing data or augment data to improve analysis results.

[0010] Preferably, the data analysis module includes: Real-time traffic monitoring unit: real-time monitoring of traffic conditions, such as traffic volume, speed, and congestion; Prediction and analysis unit: predict future traffic conditions based on historical data; Optimization analysis unit: Propose traffic optimization suggestions based on real-time data and forecast results; Decision support unit: Provides decision support to traffic managers, such as traffic signal control strategies and route planning.

[0011] Preferably, the business application module includes: Path guidance unit: provides users with optimal path suggestions based on real-time traffic conditions; Traffic signal control optimization unit: adjusts traffic signal control strategies based on traffic flow data to improve road capacity; Traffic accident prevention and handling unit: predict potential traffic accident risks through data analysis, and provide preventive measures and emergency handling solutions.

[0012] Preferably, the data visualization module includes: Map display unit: display traffic operation status on the geographic information system; Data analysis result visualization unit: displays the analysis results in the form of charts and animations to facilitate users' intuitive understanding; Interaction interface unit: provides a user interaction interface to support user query, analysis and control.

[0013] Preferably, the system security module includes: Data encryption unit: Encrypt sensitive data to ensure data security during transmission and storage; Access control unit: controls access to and operations on data based on user permissions; Security audit unit: records system operation logs, monitors abnormal behaviors, and ensures system security; Backup and recovery unit: Back up data regularly and restore data when necessary to ensure data reliability and availability.

[0014] A traffic data integration analysis method based on a business domain comprises the following steps: Step 1: The data acquisition module obtains multi-source heterogeneous traffic flow data and GIS data through traffic facilities and equipment; Step 2: The data management module imports the collected data and classifies, organizes and manages it; Step 3: The data cleaning module integrates and cleans the imported data to eliminate noise and outliers in the data; Step 4: The data preprocessing module formats and standardizes the cleaned data; Step 5: The data analysis module uses the preprocessed data to conduct real-time traffic monitoring, prediction, optimization and decision support; Step 6: The business application module provides route guidance, traffic signal control optimization, and traffic accident prevention and handling business applications based on the analysis results; Step 7: The data visualization module displays the traffic operation status and analysis results through the geographic information system; Step 8: The system security module ensures the privacy and security of data during collection, storage, processing and application.

[0015] The above technical solution of the present invention has the following beneficial technical effects: 1. Eliminate data noise and outliers and improve data quality through data cleaning and preprocessing; 2. Provide accurate data support for traffic planning and safety decision-making through real-time traffic monitoring and prediction; 3. Improve traffic efficiency and safety through route guidance and traffic signal control optimization; 4. Ensure the privacy and security of data during collection, storage, processing and application through the system security module. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a module block diagram of a traffic data integration and analysis system based on business fields proposed by the present invention.

[0017] Figure 2 The present invention is a flowchart of a traffic data integration analysis method based on a business field. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0019] like Figure 1 and Figure 2 As shown, the present invention proposes a traffic data integration analysis system based on business fields, including: Data acquisition module: responsible for collecting multi-source heterogeneous traffic flow data and GIS data from various traffic facilities and equipment. The data acquisition module communicates with the data management module and transmits the data to the data management module; Data management module: used for data import, storage, classification, organization and management to ensure data quality and integrity. The data management module communicates with the data cleaning module and the data analysis module respectively to provide data to the data cleaning module and the data analysis module; Data cleaning module: fuses and cleans the collected traffic data to eliminate noise and outliers in the data. The data cleaning module communicates with the data preprocessing module and passes the processed data to the data preprocessing module. Data preprocessing module: formats and standardizes the cleaned data to provide a unified data format for subsequent analysis. The data preprocessing module communicates with the data analysis module, and the output of the data preprocessing module serves as the input of the data analysis module. Data analysis module: Based on the pre-processed data, it performs real-time traffic monitoring, prediction, optimization and decision support. The data analysis module communicates with the business application module and the data visualization module respectively. The results of the data analysis module are used by the business application module and the data visualization module. Business application module: Based on the analysis results, it provides route guidance, traffic signal control optimization, and traffic accident prevention and handling business applications; Data visualization module: Display traffic operation status and analysis results through geographic information system to achieve intuitive visual monitoring; System security module: ensures the privacy and security of data during collection, storage, processing and application. The system security module communicates with other modules respectively.

[0020] In a specific embodiment, the data acquisition module includes: Sensor interface unit: responsible for communicating with sensors of various traffic facilities and equipment, such as vehicle detectors, cameras, and radars, to obtain real-time traffic flow data; GIS data interface unit: used to obtain spatial data from the geographic information system, such as road network, intersection layout, topography and landforms; Multi-source data fusion unit: fuses data from different sources to form a unified traffic data view.

[0021] It should be noted that the data acquisition module obtains and integrates traffic data from multiple channels through various interface units and fusion units to provide comprehensive and accurate input for the system.

[0022] In a specific embodiment, the data management module includes: Data import unit: responsible for importing the collected data into the system database; Data storage unit: provides storage mechanism to ensure data security and accessibility; Data classification and organization unit: classify and organize data according to data type and purpose to facilitate subsequent processing and analysis; Data Quality Monitoring Unit: Continuously monitor data quality to ensure data integrity and accuracy.

[0023] It should be noted that the management module imports, stores, classifies and organizes data through various units, while ensuring the quality and integrity of the data, providing reliable data support for the system.

[0024] In a specific embodiment, the data cleaning module includes: Data denoising unit: eliminates noise in data, such as random errors and outliers; Outlier detection and processing unit: Identify and process outliers in the data to ensure data accuracy; Data fusion and verification unit: Fusion of data from different sources, and verification to ensure data consistency.

[0025] It should be noted that: the cleaning module integrates and cleans the collected data through each unit to eliminate noise and outliers in the data and improve the accuracy and reliability of the data; Data cleaning algorithm: Outlier detection and replacement: Use the 3σ principle or box plot method to detect outliers and replace them with the median or mean; Missing value processing: Use interpolation methods such as linear interpolation, Lagrange interpolation or mean filling to handle missing values.

[0026] In a specific embodiment, the data preprocessing module includes: Data formatting unit: converts the cleaned data into a unified data format for subsequent analysis; Data standardization unit: standardizes data to eliminate data differences between different data sources; Data augmentation unit: Complete missing data or augment data to improve analysis results.

[0027] It should be noted that the preprocessing module formats and standardizes the cleaned data through each unit to provide a unified and standardized data format for subsequent analysis.

[0028] In a specific embodiment, the data analysis module includes: Real-time traffic monitoring unit: real-time monitoring of traffic conditions, such as traffic volume, speed, and congestion; Prediction and analysis unit: predict future traffic conditions based on historical data; Optimization analysis unit: Propose traffic optimization suggestions based on real-time data and forecast results; Decision support unit: Provides decision support to traffic managers, such as traffic signal control strategies and route planning.

[0029] It should be noted that: the analysis module conducts in-depth analysis of pre-processed data through various units, provides real-time traffic monitoring, prediction, optimization and decision support, and provides a scientific basis for traffic management; Data analysis algorithms: Traffic flow prediction: Use time series analysis, such as ARIMA model or machine learning algorithms, such as support vector machines and neural networks, to predict traffic flow; Path induction: shortest path calculation based on Dijkstra algorithm or A* algorithm; Traffic signal control optimization: Use genetic algorithms or reinforcement learning algorithms to optimize traffic signal control; Specific algorithm formula: ARIMA Model: ; Among them, Y t is the time series data, ϕ(B) and θ(B) are the autoregressive and moving average polynomials respectively, ϵ t is white noise; Dijkstra Algorithm: ; Among them, d[v] is the shortest path length of vertex v, d[u] is the shortest path length of vertex u, and length(u,v) is the length of the edge from u to v.

[0030] In a specific embodiment, the business application module includes: Path guidance unit: provides users with optimal path suggestions based on real-time traffic conditions; Traffic signal control optimization unit: adjusts traffic signal control strategies based on traffic flow data to improve road capacity; Traffic accident prevention and handling unit: predict potential traffic accident risks through data analysis, and provide preventive measures and emergency handling solutions.

[0031] It should be noted that the business application module converts the analysis results into actual business applications through various units to improve traffic efficiency, safety and user experience.

[0032] In a specific embodiment, the data visualization module includes: Map display unit: display traffic operation status on the geographic information system; Data analysis result visualization unit: displays the analysis results in the form of charts and animations to facilitate users' intuitive understanding; Interaction interface unit: provides a user interaction interface to support user query, analysis and control.

[0033] It should be noted that the visualization module realizes intuitive display of traffic operation status and analysis results through various units, thereby improving users' understanding and control of traffic conditions.

[0034] In a specific embodiment, the system security module includes: Data encryption unit: Encrypt sensitive data to ensure data security during transmission and storage; Access control unit: controls access to and operations on data based on user permissions; Security audit unit: records system operation logs, monitors abnormal behaviors, and ensures system security; Backup and recovery unit: Back up data regularly and restore data when necessary to ensure data reliability and availability.

[0035] It should be noted that the security module ensures the privacy and security of data during collection, storage, processing and application through various units, and protects the system from malicious attacks and data leakage risks.

[0036] A traffic data integration analysis method based on a business domain comprises the following steps: Step 1: The data acquisition module obtains multi-source heterogeneous traffic flow data and GIS data through traffic facilities and equipment; Step 2: The data management module imports the collected data and classifies, organizes and manages it; Step 3: The data cleaning module integrates and cleans the imported data to eliminate noise and outliers in the data; Step 4: The data preprocessing module formats and standardizes the cleaned data; Step 5: The data analysis module uses the preprocessed data to conduct real-time traffic monitoring, prediction, optimization and decision support; Step 6: The business application module provides route guidance, traffic signal control optimization, and traffic accident prevention and handling business applications based on the analysis results; Step 7: The data visualization module displays the traffic operation status and analysis results through the geographic information system; Step 8: The system security module ensures the privacy and security of data during collection, storage, processing and application.

[0037] Working principle of the system and method: The traffic data management system operates based on the modular principle, in which the data acquisition module, as the front end, is responsible for collecting multi-source heterogeneous traffic flow data and GIS data from various traffic facilities and equipment, and then transmits the data to the data management module through communication connection; the data management module, as the core hub, is responsible for the import, storage, classification, organization and management of data, ensuring the quality and integrity of the data, and establishing communication with the data cleaning module and the data analysis module respectively to provide them with the required data. After receiving the raw data, the data cleaning module performs fusion and cleaning processing to eliminate noise and outliers, and transmits the processed data to the data preprocessing module; the data preprocessing module further processes the cleaned data The data is formatted and standardized to provide data input in a unified format for the data analysis module. The data analysis module performs real-time traffic monitoring, prediction, optimization and decision support tasks based on the preprocessed data, and outputs the analysis results to the business application module and the data visualization module. The business application module provides path guidance, traffic signal control optimization, traffic accident prevention and handling practical applications based on the analysis results, while the data visualization module intuitively displays the traffic operation status and analysis results through the geographic information system. At the same time, the system security module runs through the entire system to ensure the privacy and security of data during collection, storage, processing and application, and maintains communication connections with all other modules to ensure the overall security and reliability of the system.

[0038] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. A traffic data integration analysis system based on business domain, characterized in that: include: Data acquisition module: responsible for collecting multi-source heterogeneous traffic flow data and GIS data from various traffic facilities and equipment. The data acquisition module communicates with the data management module and transmits the data to the data management module; Data management module: used for data import, storage, classification, organization and management to ensure data quality and integrity. The data management module communicates with the data cleaning module and the data analysis module respectively to provide data to the data cleaning module and the data analysis module; Data cleaning module: fuses and cleans the collected traffic data to eliminate noise and outliers in the data. The data cleaning module communicates with the data preprocessing module and passes the processed data to the data preprocessing module. Data preprocessing module: formats and standardizes the cleaned data to provide a unified data format for subsequent analysis. The data preprocessing module communicates with the data analysis module, and the output of the data preprocessing module serves as the input of the data analysis module. Data analysis module: Based on the pre-processed data, it performs real-time traffic monitoring, prediction, optimization and decision support. The data analysis module communicates with the business application module and the data visualization module respectively. The results of the data analysis module are used by the business application module and the data visualization module. Business application module: Based on the analysis results, it provides route guidance, traffic signal control optimization, and traffic accident prevention and handling business applications; Data visualization module: Display traffic operation status and analysis results through geographic information system to achieve intuitive visual monitoring; System security module: ensures the privacy and security of data during collection, storage, processing and application. The system security module communicates with other modules respectively.

2. The traffic data integration analysis system based on business domain according to claim 1 is characterized in that: The data acquisition module comprises: Sensor interface unit: responsible for communicating with sensors of various traffic facilities and equipment, such as vehicle detectors, cameras, and radars, to obtain real-time traffic flow data; GIS data interface unit: used to obtain spatial data from the geographic information system, such as road network, intersection layout, topography and landforms; Multi-source data fusion unit: fuses data from different sources to form a unified traffic data view.

3. The traffic data integrated analysis system based on business domain according to claim 2 is characterized in that: The data management module comprises: Data import unit: responsible for importing the collected data into the system database; Data storage unit: provides storage mechanism to ensure data security and accessibility; Data classification and organization unit: classify and organize data according to data type and purpose to facilitate subsequent processing and analysis; Data Quality Monitoring Unit: Continuously monitor data quality to ensure data integrity and accuracy.

4. The traffic data integration analysis system based on business domain according to claim 3 is characterized in that: The data cleaning module includes: Data denoising unit: eliminates noise in data, such as random errors and outliers; Outlier detection and processing unit: Identify and process outliers in the data to ensure data accuracy; Data fusion and verification unit: Fusion of data from different sources, and verification to ensure data consistency.

5. The traffic data integration analysis system based on business domain according to claim 4 is characterized in that: The data preprocessing module comprises: Data formatting unit: converts the cleaned data into a unified data format for subsequent analysis; Data standardization unit: standardizes data to eliminate data differences between different data sources; Data augmentation unit: Complete missing data or augment data to improve analysis results.

6. The traffic data integration analysis system based on business domain according to claim 5 is characterized in that: The data analysis module includes: Real-time traffic monitoring unit: real-time monitoring of traffic conditions, such as traffic volume, speed, and congestion; Prediction and analysis unit: predict future traffic conditions based on historical data; Optimization analysis unit: Propose traffic optimization suggestions based on real-time data and forecast results; Decision support unit: Provides decision support to traffic managers, such as traffic signal control strategies and route planning.

7. The traffic data integration and analysis system based on business domain according to claim 6 is characterized in that: The business application module includes: Path guidance unit: provides users with optimal path suggestions based on real-time traffic conditions; Traffic signal control optimization unit: adjusts traffic signal control strategies based on traffic flow data to improve road capacity; Traffic accident prevention and handling unit: predict potential traffic accident risks through data analysis, and provide preventive measures and emergency handling solutions.

8. The traffic data integration analysis system based on business domain according to claim 7 is characterized in that: The data visualization module includes: Map display unit: display traffic operation status on the geographic information system; Data analysis result visualization unit: displays the analysis results in the form of charts and animations to facilitate users' intuitive understanding; Interaction interface unit: provides a user interaction interface to support user query, analysis and control.

9. The traffic data integration analysis system based on business domain according to claim 8 is characterized in that: The system security module includes: Data encryption unit: Encrypt sensitive data to ensure data security during transmission and storage; Access control unit: controls access to and operations on data based on user permissions; Security audit unit: records system operation logs, monitors abnormal behaviors, and ensures system security; Backup and recovery unit: Back up data regularly and restore data when necessary to ensure data reliability and availability.

10. A traffic data integration analysis method based on business domain, characterized in that: The following steps are involved: Step 1: The data acquisition module obtains multi-source heterogeneous traffic flow data and GIS data through traffic facilities and equipment; Step 2: The data management module imports the collected data and classifies, organizes and manages it; Step 3: The data cleaning module integrates and cleans the imported data to eliminate noise and outliers in the data; Step 4: The data preprocessing module formats and standardizes the cleaned data; Step 5: The data analysis module uses the preprocessed data to conduct real-time traffic monitoring, prediction, optimization and decision support; Step 6: The business application module provides route guidance, traffic signal control optimization, and traffic accident prevention and handling business applications based on the analysis results; Step 7: The data visualization module displays the traffic operation status and analysis results through the geographic information system; Step 8: The system security module ensures the privacy and security of data during collection, storage, processing and application.

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