CN116665445A - Intelligent traffic management platform based on big data interconnection - Google Patents
Intelligent traffic management platform based on big data interconnection Download PDFInfo
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- CN116665445A CN116665445A CN202310657279.XA CN202310657279A CN116665445A CN 116665445 A CN116665445 A CN 116665445A CN 202310657279 A CN202310657279 A CN 202310657279A CN 116665445 A CN116665445 A CN 116665445A
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- 238000004364 calculation method Methods 0.000 claims abstract description 37
- 238000007726 management method Methods 0.000 claims abstract description 36
- 230000007246 mechanism Effects 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 13
- 206010039203 Road traffic accident Diseases 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims description 21
- 238000005206 flow analysis Methods 0.000 claims description 12
- 238000007781 pre-processing Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000004140 cleaning Methods 0.000 claims description 3
- 238000013501 data transformation Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 11
- 230000002159 abnormal effect Effects 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 6
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000005856 abnormality Effects 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Multimedia (AREA)
- Traffic Control Systems (AREA)
Abstract
The application discloses an intelligent traffic management platform based on big data interconnection, which belongs to the field of traffic management and solves the problems of how to effectively and quickly process big data generated by traffic roads and feed back abnormal problems to each user side for early warning; the road side calculation module is used for analyzing and processing road side traffic data transmitted by each device in the adjacent data acquisition module, so that various early warning information of a target road section or an intersection is obtained and sent to the cloud platform, and the analysis and processing efficiency of road traffic big data is improved; the method comprises the steps that early warning information sent by a road side calculation module is obtained through a cloud platform, and the early warning information is sent to a corresponding vehicle side user terminal according to a circular area range with a target road section or a target intersection as a circle center, so that a crowded traffic road or traffic accident is avoided timely; and meanwhile, the early warning information is sent to the user side of the traffic control mechanism in the jurisdiction of the target road section or the target intersection, so that the office efficiency of related departments is improved.
Description
Technical Field
The application belongs to the field of traffic management, and particularly relates to an intelligent traffic management platform based on big data interconnection.
Background
Along with the development of the internet of things, the management of traffic roads is more and more informationized, so that traffic transportation is safer and more ordered.
The authorization bulletin number (CN 110021185B) discloses an intelligent traffic management system, which comprises a navigation service platform, a cloud control platform and a vehicle-mounted terminal. The vehicle running can be monitored and standardized in real time; in addition, parking spaces around the destination can be quickly searched and remotely reserved, real-time dynamic speed limiting in the whole process of an abnormal weather road section can be realized, the safety distance between vehicles can be limited in real time, and the traffic safety and smoothness of the expressway can be ensured.
However, in the prior art, abnormal data is not effectively found according to big data generated by traffic roads and is timely transmitted to a vehicle user side, a traffic management user side and other user sides, so that each user side can not timely find traffic abnormal problems and timely process the traffic abnormal problems.
Therefore, the application provides an intelligent traffic management platform based on big data interconnection.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides the intelligent traffic management platform based on the big data interconnection, which solves the problem of how to effectively and quickly process big data generated by traffic roads and feed back abnormal problems to each user side for early warning.
To achieve the above object, an embodiment according to a first aspect of the present application provides an intelligent traffic management platform based on big data interconnection, including: the system comprises a data acquisition module, a road side calculation module, a plurality of user terminals and a cloud platform;
the data acquisition module is used for acquiring road side traffic data of a traffic road and sending the road side traffic data to the adjacent road side calculation module;
the road side calculation module is used for analyzing and processing the acquired road side traffic data; preprocessing the acquired road side traffic data, acquiring the number of pedestrians, the number of motor vehicles and the number of non-motor vehicles at a target intersection, calculating and acquiring a passenger flow analysis value of the target intersection, and if the passenger flow analysis value is larger than a preset threshold value, sending early warning information of congestion of the target intersection to a cloud platform;
information transmission is carried out between the plurality of user terminals and the cloud platform, and the plurality of user terminals are divided into a vehicle side user terminal, a traffic management mechanism user terminal and other third party mechanism user terminals according to types;
the cloud platform establishes unique accounts for a plurality of user terminals, draws a circle by taking the position of a target road section or a target intersection as a circle center and taking a preset distance as a radius, acquires a circular area range, and sends early warning information to the vehicle side user terminal in the circular area range; and the cloud platform also sends the early warning information to the corresponding traffic management mechanism user side according to the jurisdiction traffic management department to which the target road section or the target intersection belongs.
Further, the data acquisition module comprises a monitoring camera, a radar and a traffic light; the monitoring camera is used for monitoring traffic participants on the traffic road; the radar is used for detecting the position, the speed and the size data of a target object of static and moving targets on the traffic path; and uploading a real-time traffic light signal by the traffic light.
Further, the roadside computing module comprises a plurality of roadside computing devices, and the roadside computing devices are arranged near the data acquisition module; and the road side computing equipment is provided with different protocol interfaces according to different types of data and different data processing modes according to different types of data.
Further, the preprocessing of the road side computing module comprises data cleaning, data integration, data transformation and data reduction.
Further, the road side calculation module marks the acquired number of pedestrians at the intersection as R, the number of motor vehicles as J and the number of non-motor vehicles as F; obtaining a passenger flow analysis value of the target intersection according to a calculation formula P=alpha×R+beta×J+gamma×F; wherein α, β, and γ are weight coefficient values.
Further, the road side calculation module analyzes the acquired vehicle moving speed of the target road section or the target intersection, and if the acquired vehicle moving speed of the target road section or the target intersection exceeds a preset speed standard range, the road side calculation module sends the snapshot image of the current vehicle and the corresponding early warning information of the moving speed to the cloud platform.
Further, the road side calculation module is also provided with an accident judgment model for analyzing traffic accidents of the acquired monitoring images; the early warning information of the monitoring image which is judged to be the traffic accident is sent to the cloud platform; the accident judgment model carries out sample training on a large number of normal traffic monitoring images and a large number of different traffic accident monitoring images in the early stage.
Further, the road side calculation module is used for analyzing and obtaining pedestrian face image information and vehicle license plate numbers of red light running on a road, generating early warning information and sending the early warning information to the cloud platform.
Compared with the prior art, the application has the beneficial effects that:
1. according to the application, road side traffic data transmitted by each device in the adjacent data acquisition module is analyzed and processed through the road side calculation module, so that various early warning information of a target road section or crossing is obtained and sent to the cloud platform; the road side calculation module is provided with a plurality of road side calculation devices, can process road side traffic data of different sources and different types, which are adjacent in physical distance, rapidly acquire early warning information of traffic abnormality, and improves analysis processing efficiency of road traffic big data.
2. According to the method, the early warning information sent by the road side calculation module is obtained through the cloud platform, and the early warning information is sent to the corresponding vehicle side user side according to the range of the circular area with the target road section or the target intersection as the center of a circle, so that the corresponding vehicle can avoid the crowded traffic road in time, other reachable routes can be selected, and traffic accidents can be avoided in time for the corresponding vehicle; meanwhile, the early warning information is sent to the traffic control mechanism user side in the jurisdiction of the target road section or the target intersection, so that related staff can timely and forego dredging traffic congestion, processing traffic accidents and processing related traffic violation behaviors.
Drawings
Fig. 1 is a block diagram of a system architecture of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
As shown in fig. 1, an intelligent traffic management platform based on big data interconnection includes: the system comprises a data acquisition module, a road side calculation module, a plurality of user terminals and a cloud platform; the system comprises a data acquisition module, a road side calculation module, a plurality of user terminals and information interaction among cloud platforms;
in the application, the data acquisition module is used for acquiring road side traffic data of a traffic road and sending the road side traffic data to the adjacent road side calculation module for analysis and processing of the road side traffic data;
specifically, the data acquisition module comprises a monitoring camera, a radar, a traffic light and the like; the monitoring camera is used for monitoring traffic participants on traffic roads, such as pedestrians, non-motor vehicles and motor vehicles; the radar is used for detecting the position, the speed and the size data of a target object of static and moving targets on the traffic path; the traffic light uploads a real-time traffic light signal;
in the application, the road side calculation module is used for analyzing and processing the acquired road side traffic data;
specifically, the roadside computing module comprises a plurality of roadside computing devices, and the roadside computing devices are correspondingly arranged at the positions close to each other according to the region positions of the devices arranged in the data acquisition module; the road side computing equipment is provided with different protocol interfaces according to different types of data, and different data processing modes according to different types of data;
the road side computing module is used for preprocessing the acquired data, such as data cleaning, data integration, data transformation, data reduction and the like; thereby acquiring the number of pedestrians, the number of motor vehicles and the number of non-motor vehicles at the target intersection sent by the data acquisition module; the number of the obtained crossing pedestrians is marked as R, the number of the motor vehicles is marked as J, and the number of the non-motor vehicles is marked as F;
obtaining a passenger flow analysis value of the target intersection according to a calculation formula P=alpha×R+beta×J+gamma×F; wherein alpha, beta and gamma are weight coefficient values; presetting a passenger flow analysis value threshold value of an intersection, and if the passenger flow analysis value obtained by calculation is larger than the preset passenger flow analysis threshold value, sending early warning information of passenger flow congestion of a target intersection to a cloud platform by the road side calculation module;
the road side calculation module is used for analyzing the acquired moving speed of the vehicle at the target road section or the intersection, presetting a speed standard range, and if the acquired moving speed of the vehicle at the target road section or the intersection exceeds the preset speed standard range, sending a snapshot image of the current vehicle and early warning information of the corresponding moving speed to the cloud platform;
the road side calculation module is provided with an accident judgment model for analyzing traffic accidents of the acquired monitoring images; the early warning information of the monitoring image which is judged to be the traffic accident is sent to the cloud platform;
the accident judgment model carries out sample training on a large number of normal traffic monitoring images and a large number of different traffic accident monitoring images in the early stage;
the road side calculation module is used for analyzing and acquiring pedestrian face image information of red light running on a road opening and a vehicle license plate number, generating early warning information and sending the early warning information to the cloud platform;
in the application, a plurality of user terminals are in wireless connection with the cloud platform and carry out information transmission with the cloud platform; the plurality of user terminals can be classified into a vehicle side user terminal, a traffic management mechanism user terminal, other third party mechanism user terminals and the like according to classification;
in the application, the cloud platform is used for storing the acquired early warning information of the corresponding traffic road, and establishes unique accounts for the vehicle side user end, the traffic management mechanism user end and other third party mechanism user ends;
the cloud platform is connected with a GPS (global positioning system) or a Beidou positioning system, and is used for acquiring the position of a vehicle side user end, drawing a circle by taking a preset distance as a radius by taking the position of a target road section or a target intersection as a circle center, acquiring a circular area range, and sending early warning information to an account of the vehicle side user end in the circular area range for storage, so that the early warning information is sent to vehicle terminal equipment of the vehicle side user end corresponding to the account for voice broadcasting or screen display;
the cloud platform also sends the early warning information to the corresponding traffic management mechanism user side according to the jurisdiction traffic management department to which the road section or the intersection of the target traffic road belongs; the user side of the traffic management mechanism sends personnel for processing;
the cloud platform also sends the early warning information of the corresponding vehicle to a user side of a third party mechanism, wherein the user side of the third party mechanism can be a vehicle management mechanism, a claim settlement mechanism and the like;
it should be noted that, the vehicle side user terminal, the traffic management mechanism user terminal and other third party mechanism user terminals enter the cloud platform to obtain traffic information except the early warning information, and then the traffic information is called from the road side calculation module or the data acquisition module through the cloud platform; the vehicle side user side further uploads the vehicle information of the vehicle side user side to the cloud platform for storage, wherein the vehicle information comprises basic information of the vehicle, such as vehicle types, styles, license plates, service lives and the like, and further comprises identity information of a driver; the traffic management mechanism user side and other third party mechanism user sides also upload traffic work information to the cloud platform for storage, wherein the traffic work information comprises feedback information of traffic management on traffic regulation and control and management information of a third party mechanism on vehicles or roads;
the cloud platform is provided with an access authentication unit for authenticating the user identity of each user end and carrying out encryption transportation and decryption acquisition on information transmission between each user end and the cloud platform.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The working principle of the application is as follows:
in the application, a data acquisition module acquires road side traffic data of a traffic road and sends the road side traffic data to an adjacent road side calculation module; the road side calculation module analyzes and processes the acquired road side traffic data; preprocessing the acquired road side traffic data, acquiring the number of pedestrians, the number of motor vehicles and the number of non-motor vehicles at a target intersection, calculating and acquiring a passenger flow analysis value of the target intersection, and if the passenger flow analysis value is larger than a preset threshold value, sending early warning information of congestion of the target intersection to a cloud platform; the cloud platform establishes unique accounts for a plurality of user terminals, and draws a circle by taking the position of a target road section or a target intersection as a circle center and taking a preset distance as a radius to acquire a circular area range, and sends early warning information to the vehicle side user terminals in the circular area range; and the cloud platform also sends the early warning information to the corresponding traffic control mechanism user side according to the administration traffic control department to which the target road section or the target intersection belongs.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (8)
1. An intelligent traffic management platform based on big data interconnection, which is characterized by comprising: the system comprises a data acquisition module, a road side calculation module, a plurality of user terminals and a cloud platform;
the data acquisition module is used for acquiring road side traffic data of a traffic road and sending the road side traffic data to the adjacent road side calculation module;
the road side calculation module is used for analyzing and processing the acquired road side traffic data; preprocessing the acquired road side traffic data, acquiring the number of pedestrians, the number of motor vehicles and the number of non-motor vehicles at a target intersection, calculating and acquiring a passenger flow analysis value of the target intersection, and if the passenger flow analysis value is larger than a preset threshold value, sending early warning information of congestion of the target intersection to a cloud platform;
information transmission is carried out between the plurality of user terminals and the cloud platform, and the plurality of user terminals are divided into a vehicle side user terminal, a traffic management mechanism user terminal and other third party mechanism user terminals according to types;
the cloud platform establishes unique accounts for a plurality of user terminals, draws a circle by taking the position of a target road section or a target intersection as a circle center and taking a preset distance as a radius, acquires a circular area range, and sends early warning information to the vehicle side user terminal in the circular area range; and the cloud platform also sends the early warning information to the corresponding traffic management mechanism user side according to the jurisdiction traffic management department to which the target road section or the target intersection belongs.
2. The intelligent traffic management platform based on big data interconnection according to claim 1, wherein the data acquisition module comprises a monitoring camera, a radar and a traffic light; the monitoring camera is used for monitoring traffic participants on the traffic road; the radar is used for detecting the position, the speed and the size data of a target object of static and moving targets on the traffic path; and uploading a real-time traffic light signal by the traffic light.
3. The intelligent traffic management platform based on big data interconnection according to claim 1, wherein the roadside computing module comprises a plurality of roadside computing devices arranged near the data acquisition module; and the road side computing equipment is provided with different protocol interfaces according to different types of data and different data processing modes according to different types of data.
4. The intelligent traffic management platform based on big data interconnection according to claim 1, wherein the preprocessing of the roadside computing module comprises data cleaning, data integration, data transformation and data reduction.
5. The intelligent traffic management platform based on big data interconnection according to claim 1, wherein the road side calculation module marks the acquired number of pedestrians at the intersection as R, the number of motor vehicles as J and the number of non-motor vehicles as F; obtaining a passenger flow analysis value of the target intersection according to a calculation formula P=alpha×R+beta×J+gamma×F; wherein α, β, and γ are weight coefficient values.
6. The intelligent traffic management platform based on big data interconnection according to claim 1, wherein the road side calculation module further analyzes the obtained vehicle moving speed of the target road section or the target intersection, and if the obtained vehicle moving speed at the target road section or the target intersection exceeds a preset speed standard range, the road side calculation module sends the snapshot image of the current vehicle and the corresponding early warning information of the moving speed to the cloud platform.
7. The intelligent traffic management platform based on big data interconnection according to claim 1, wherein the road side calculation module is further provided with an accident judgment model for analyzing traffic accidents of the acquired monitoring images; the early warning information of the monitoring image which is judged to be the traffic accident is sent to the cloud platform; the accident judgment model carries out sample training on a large number of normal traffic monitoring images and a large number of different traffic accident monitoring images in the early stage.
8. The intelligent traffic management platform based on big data interconnection of claim 1, wherein the road side calculation module is further used for analyzing and acquiring pedestrian face image information and vehicle license plate numbers of red light running on a road, generating early warning information and sending the early warning information to the cloud platform.
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| CN202310657279.XA CN116665445A (en) | 2023-06-05 | 2023-06-05 | Intelligent traffic management platform based on big data interconnection |
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