CN115662135A - Static traffic comprehensive management and control system and method based on big data - Google Patents
Static traffic comprehensive management and control system and method based on big data Download PDFInfo
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- CN115662135A CN115662135A CN202211337343.8A CN202211337343A CN115662135A CN 115662135 A CN115662135 A CN 115662135A CN 202211337343 A CN202211337343 A CN 202211337343A CN 115662135 A CN115662135 A CN 115662135A
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Abstract
The invention relates to a static traffic comprehensive management and control system and method based on big data, the method includes the steps that a vehicle acquisition module of a parking lot collects vehicle data entering and exiting the parking lot and sends the vehicle data to a big data server, a parking lot sensing module collects vehicle parking and parking space data in the parking lot and sends the data to the big data server, a traffic navigation module sends navigation state and road condition state data of a vehicle to the big data server, a traffic management module sends real-time state data of illegal vehicles to the big data server, and the big data server organically links and processes various static traffic data to form a comprehensive management and control reference set; the method and the device solve the problems that in the prior art, only basic data are adopted, a large amount of data cannot be organically related, and a processing result with direct value on traffic control cannot be obtained from the large amount of data.
Description
Technical Field
The invention relates to a static traffic comprehensive control system and method based on big data.
Background
With the continuous development of internet and internet of things technology, in recent years, intelligent parking lot hardware systems are becoming popular, more and more intelligent parking lot management systems based on number plate identification are replacing traditional manual charging and card drawing charging management modes, and parking lots are stepping into the intelligent management era. Along with the popularization and application of the intelligent parking lot management system, the real-time parking position information, the real-time traffic flow information and the vehicle entrance and exit information of the parking lot are gradually integrated into a static traffic big database. Static traffic is a general concept formed by behaviors of public transport vehicles such as parking for passengers, freight vehicles such as goods handling parking, and cars and bicycles during travel, and the like, and the existing static traffic comprehensive management and control technologies are many, and a patent document CN110930703A discloses a static traffic management and control technology in the close prior art, which can uniformly upload and store data of each parking lot management system, fully utilizes a large amount of parking lot data collected by the parking lot system, forms a comprehensive early warning information instruction by performing integrated analysis on various types of data, and realizes information sharing through the Internet, so that the static traffic management and control technology is used for planning construction, public security management, traffic management, and citizen travel and other services of cities. Meanwhile, the remote command and control of the front-end equipment of the platform are realized through Internet mobile communication and Internet of things technology, and the remote centralized control of the parking lot is realized. The technology can collect a large amount of static traffic control data such as parking lots and the like and provide a basis for various controls, but the technology has no obvious advantage in data processing, mainly the technology only generally adopts basic data, cannot organically link a large amount of data, cannot acquire a processing result which has direct value on traffic control from a large amount of data, and the meaning of the technology still stays at the level of data acquisition.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the static traffic comprehensive control method based on the big data comprises the steps that a parking lot vehicle acquisition module collects vehicle data entering and exiting a parking lot and sends the vehicle data to a big data server, a parking lot sensing module collects vehicle parking and parking space data in the parking lot and sends the data to the big data server, a traffic navigation module sends navigation state and road condition state data of vehicles to the big data server, a traffic management module sends real-time state data of illegal vehicles to the big data server, and the big data server organically links and processes various static traffic data to form a comprehensive control reference set.
Further, the big data server organically associates and processes various static traffic data to form a comprehensive management and control reference set, and the comprehensive management and control reference set comprises organically associating and processing vehicle data entering and exiting the parking lot with vehicle parking and parking space data in the parking lot, organically associating and processing the vehicle data entering and exiting the parking lot with navigation state and road condition state data of the vehicle, and organically associating and processing the navigation state and road condition state data of the vehicle with real-time state data of illegal vehicles.
Further, the big data server organically associates and processes various static traffic data to form a comprehensive control reference set, and organically associates and processes vehicle data, vehicle parking and parking space data, navigation state and road condition state data of vehicles and real-time state data of illegal vehicles, which enter and exit the parking lot.
Further, a comprehensive management and control reference set formed by organically linking and processing vehicle data, parking data and parking space data entering and exiting the parking lot comprises parking state data of the parking lot, a comprehensive management and control reference set formed by organically linking and processing vehicle data, parking navigation states and road condition state data of the vehicle entering and exiting the parking lot comprises road condition state data near the parking lot, the comprehensive management and control reference set formed by organically linking and processing navigation states and road condition state data of the vehicle and real-time state data of illegal vehicles comprises risk state data of investigation violation, the parking state data provides basis for parking lot management and control, the road condition state data near the parking lot provides basis for navigation system management and control near the parking lot, and the risk state data of investigation violation provides basis for traffic management and control.
Further, the vehicle data, the vehicle parking and parking space data, the navigation state and road condition state data of the vehicle and the real-time state data of the illegal vehicle which enter and exit the parking lot are organically connected and processed to form comprehensive management and control parametersThe examination set comprises static traffic intervention evaluation parameters, the size of the static traffic intervention evaluation parameters is used for guiding whether manual active intervention traffic control is needed or not, and the static traffic intervention evaluation parameters are set to be N 1 ，N 1 =（t 1 -t 2 ·L）·P 1 +（f 1 -f 2 ·L）·P 2 +（c 1 -c 2 ·L）·P 3 Wherein t is 1 Parameters characterizing parking density in the parking status data; t is t 2 Parameters characterizing a stopping flow rate in the stopping state data; l is a set reference time period; f. of 1 Parameters for representing parking density in the road condition state data near the parking lot; f. of 2 Characterizing parking flow speed parameters in road condition state data near a parking lot; c. C 1 Parameters representing the number of the violation vehicles in the risk state data of the violation are checked and treated; c. C 2 For investigating and processing parameters, P, characterizing the speed of change of the position of the violation vehicle in the violation risk status data 1 ,P 2 ,P 3 Are all weight values.
The comprehensive management and control system based on the big data static traffic comprises a parking lot vehicle acquisition module, a vehicle data server, a parking lot sensing module, a traffic navigation module, a big data server, a traffic management module, a real-time state data server and a big data server, wherein the vehicle data server is used for collecting vehicle parking and parking space data in the parking lot and sending the vehicle parking and parking space data to the big data server, the traffic navigation module is used for sending navigation state and road condition state data of vehicles to the big data server, the traffic management module is used for sending real-time state data of illegal vehicles to the big data server, and the big data server is used for organically linking and processing various static traffic data to form a comprehensive management and control reference set.
Advantageous effects
According to the method and the device, various data can be organically linked and processed, so that a more accurate basis can be provided for traffic control on the basis of data link processing, and the problems that in the prior art, only basic data is adopted, a large amount of data cannot be organically linked, and a processing result which has direct value on traffic control cannot be acquired from the large amount of data are solved.
Drawings
Fig. 1 is a flowchart of a static traffic comprehensive control method based on big data according to the present application.
Detailed Description
In specific implementation, the application provides a static traffic comprehensive control method based on big data, as shown in fig. 1, the method comprises the following steps:
the parking lot vehicle acquisition module collects vehicle data entering and exiting the parking lot and sends the vehicle data to the big data server, the parking lot sensing module collects vehicle parking and parking space data in the parking lot and sends the vehicle parking and parking space data to the big data server, the traffic navigation module sends navigation state and road condition state data of vehicles to the big data server, the traffic management module sends real-time state data of illegal vehicles to the big data server, and the big data server organically links various static traffic data to form a comprehensive management and control reference set.
In a preferred implementation, the big data server organically associates and processes various static traffic data to form a comprehensive control reference set, and the comprehensive control reference set comprises organically associating and processing vehicle data entering and exiting the parking lot with vehicle parking and parking space data in the parking lot, organically associating and processing vehicle data entering and exiting the parking lot with navigation state and road condition state data of vehicles, and organically associating and processing the navigation state and road condition state data of the vehicles with real-time state data of illegal vehicles.
In a preferred implementation, the big data server organically associates and processes various static traffic data to form a comprehensive control reference set, and organically associates and processes vehicle data, vehicle parking and parking space data, navigation state and road condition state data of vehicles, and real-time state data of illegal vehicles.
In a preferred implementation, the comprehensive management and control reference set formed by organically linking and processing the vehicle data, which enters and exits the parking lot, with the vehicle parking and parking space data comprises parking state data of the parking lot, the comprehensive management and control reference set formed by organically linking and processing the vehicle data, which enters and exits the parking lot, with the navigation state and road condition state data of the vehicle comprises road condition state data near the parking lot, and the comprehensive management and control reference set formed by organically linking and processing the navigation state and road condition state data of the vehicle and the real-time state data of illegal vehicles comprises investigation violation risk state data, the parking state data provides basis for parking lot management and control, the road condition state data near the parking lot provides basis for navigation system management and control near the parking lot, and the investigation violation risk state data provides basis for traffic management and control.
In the preferred implementation, a comprehensive management and control reference set formed by organically linking and processing vehicle data, vehicle parking and parking space data, navigation state and road condition state data of the vehicle and real-time state data of illegal vehicles in the parking lot comprises static traffic intervention evaluation parameters, the size of the static traffic intervention evaluation parameters is used for guiding whether manual active intervention traffic management and control is needed, and the static traffic intervention evaluation parameters are set to be N 1 ，N 1 =（t 1 -t 2 ·L）·P 1 +（f 1 -f 2 ·L）·P 2 +（c 1 -c 2 ·L）·P 3 Wherein t is 1 Parameters characterizing parking density in the parking status data; t is t 2 Characterizing a parameter of parking flow velocity in the parking status data; l is a set reference time period; f. of 1 Parameters for representing parking density in the road condition state data near the parking lot; f. of 2 Characterizing parking flow speed parameters in road condition state data near a parking lot; c. C 1 Parameters representing the number of the violation vehicles in the risk state data of the violation are checked and treated; c. C 2 For investigating and processing parameters, P, characterizing the speed of change of the position of the violation vehicle in the violation risk status data 1 ,P 2 ,P 3 Are all weight values.
The application also discloses management and control system is synthesized based on static traffic of big data, which comprises, parking area vehicle acquisition module, a vehicle data and sending for big data server for collecting business turn over parking area, parking area sensing module, a vehicle parking and parking stall data and sending for big data server in the collection parking area, traffic navigation module, a navigation state and road conditions state data and sending for big data server to the vehicle, traffic management module, a real-time status data and sending for big data server with illegal vehicle, big data server, a management and control reference set is synthesized in the formation of being used for contacting organic with multiple static traffic data.
In the specific implementation of the application, a static traffic comprehensive control method based on big data is disclosed, which comprises the following steps:
the parking lot vehicle acquisition module collects vehicle data entering and exiting the parking lot and sends the vehicle data to the big data server, the parking lot sensing module collects vehicle parking and parking space data in the parking lot and sends the vehicle parking and parking space data to the big data server, the traffic navigation module sends navigation state and road condition state data of vehicles to the big data server, the traffic management module sends real-time state data of illegal vehicles to the big data server, and the big data server organically links various static traffic data to form a comprehensive management and control reference set. Specifically, a comprehensive management and control reference set formed by organically linking and processing vehicle data, vehicle parking and parking space data, vehicle navigation state and road condition state data and illegal vehicle real-time state data in and out of a parking lot comprises static traffic intervention evaluation parameters, the size of the static traffic intervention evaluation parameters is used for guiding whether manual active intervention traffic management and control is needed or not, and the static traffic intervention evaluation parameters are set to be N 1 ，N 1 =（t 1 -t 2 ·L）·P 1 +（f 1 -f 2 ·L）·P 2 +（c 1 -c 2 ·L）·P 3 Wherein t is 1 Parameters characterizing parking density in the parking status data; t is t 2 Characterizing a parameter of parking flow velocity in the parking status data; l is a set reference time period; f. of 1 Parameters for representing parking density in the road condition state data near the parking lot; f. of 2 Characterizing parking flow speed parameters in road condition state data near the parking lot; c. C 1 The parameters for representing the number of the violation vehicles in the risk state data of the violation are checked and treated; c. C 2 For verifying the parameters of the change speed of the position of the violation vehicle in the investigation of the violation risk status data, P 1 ,P 2 ,P 3 Are all weight values. As can be appreciated, the application can organically link and process various data, so that a more accurate basis can be provided for the tube control on the basis of the data link processing, and the basis is also overcomeThe problem that 'only basic data is adopted, a large amount of data cannot be organically related, and a processing result with direct value on traffic control cannot be obtained from the large amount of data' in the prior art is solved.
Claims (6)
1. The static traffic comprehensive management and control method based on the big data is characterized by comprising the steps that a parking lot vehicle acquisition module collects vehicle data entering and exiting a parking lot and sends the vehicle data to a big data server, a parking lot sensing module collects vehicle parking and parking space data in the parking lot and sends the data to the big data server, a traffic navigation module sends navigation state and road condition state data of vehicles to the big data server, a traffic management module sends real-time state data of illegal vehicles to the big data server, and the big data server organically links and processes various static traffic data to form a comprehensive management and control reference set.
2. The comprehensive management and control method based on big data static traffic of claim 1, wherein the big data server organically associates and processes a plurality of static traffic data to form a comprehensive management and control reference set, and comprises organically associating and processing vehicle data entering and exiting a parking lot with vehicle parking and parking space data in the parking lot, organically associating and processing vehicle data entering and exiting the parking lot with navigation state and road condition state data of vehicles, and organically associating and processing navigation state and road condition state data of vehicles with real-time state data of illegal vehicles.
3. The comprehensive control method for static traffic based on big data according to claim 1, wherein the big data server organically links and processes the plurality of static traffic data to form a comprehensive control reference set, and the comprehensive control reference set comprises organically linking and processing vehicle data, vehicle parking and parking space data, navigation state and road condition state data of vehicles, and real-time state data of illegal vehicles.
4. The static traffic comprehensive management and control method based on big data according to claim 1, characterized in that the comprehensive management and control reference set formed by organically associating the vehicle data entering and exiting the parking lot with the vehicle parking and parking space data includes parking state data of the parking lot, the comprehensive management and control reference set formed by organically associating the vehicle data entering and exiting the parking lot with the navigation state of the vehicle and the road state data includes road state data near the parking lot, the comprehensive management and control reference set formed by organically associating the navigation state of the vehicle and the road state data with the real-time state data of illegal vehicles includes risk state data of investigation violation, the parking state data provides basis for parking lot management and control, the road state data near the parking lot provides basis for navigation system management and control near the parking lot, and the risk state data of investigation violation provides basis for traffic management and control.
5. The comprehensive management and control method based on big data static traffic of claim 1, characterized in that the comprehensive management and control reference set formed after organically linking and processing the vehicle data, the vehicle parking and parking space data, the navigation state and road condition state data of the vehicle, and the real-time state data of the illegal vehicle in and out of the parking lot comprises static traffic intervention evaluation parameters, the size of the static traffic intervention evaluation parameters is used for guiding whether manual active intervention traffic management and control is needed, and the static traffic intervention evaluation parameters are set to be N 1 ，N 1 =（t 1 -t 2 ·L）·P 1 +（f 1 -f 2 ·L）·P 2 +（c 1 -c 2 ·L）·P 3 Wherein t is 1 Parameters characterizing parking density in the parking status data; t is t 2 Parameters characterizing a stopping flow rate in the stopping state data; l is a set reference time period; f. of 1 Parameters for representing parking density in the road condition state data near the parking lot; f. of 2 Characterizing parking flow speed parameters in road condition state data near a parking lot; c. C 1 Parameters representing the number of the violation vehicles in the risk state data of the violation are checked and treated; c. C 2 For investigating and processing parameters, P, characterizing the speed of change of the position of the violation vehicle in the violation risk status data 1 ,P 2 ,P 3 Are all weight values.
6. The system comprises a parking lot vehicle acquisition module, a parking lot sensing module, a parking lot parking and parking space data collecting module, a traffic navigation module, a traffic management module, a big data server and a plurality of static traffic data association processing system.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108986006A (en) * | 2018-06-04 | 2018-12-11 | 松立控股集团股份有限公司 | A kind of City-level static traffic comprehensive management platform |
| US20190130764A1 (en) * | 2017-10-27 | 2019-05-02 | Salesforce.Com, Inc. | System and method for providing parking navigation for a field service vehicle |
| CN110930703A (en) * | 2019-11-26 | 2020-03-27 | 陕西坤翔互联网科技有限公司 | Intelligent static traffic control service system and method |
| WO2021253454A1 (en) * | 2020-06-19 | 2021-12-23 | 曹庆恒 | Parking management method and parking management system based on intelligent transportation system |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190130764A1 (en) * | 2017-10-27 | 2019-05-02 | Salesforce.Com, Inc. | System and method for providing parking navigation for a field service vehicle |
| CN108986006A (en) * | 2018-06-04 | 2018-12-11 | 松立控股集团股份有限公司 | A kind of City-level static traffic comprehensive management platform |
| CN110930703A (en) * | 2019-11-26 | 2020-03-27 | 陕西坤翔互联网科技有限公司 | Intelligent static traffic control service system and method |
| WO2021253454A1 (en) * | 2020-06-19 | 2021-12-23 | 曹庆恒 | Parking management method and parking management system based on intelligent transportation system |
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Application publication date: 20230131 |