Intelligent traffic management platform based on big data

Abstract

The invention relates to the technical field of traffic management, in particular to an intelligent traffic management platform based on big data, which comprises a cloud platform terminal, an information database, an internet of things, an artificial intelligence module, a real-time monitoring and positioning module and an accident prevention module, the cloud platform terminal is connected with the information database, and the cloud platform terminal is connected with the Internet of Things and the artificial intelligence module. The accident accurate monitoring module and the AI image recognition module arranged on the traffic management platform can position the accident position, quickly dispatch rescue power, reduce the accident influence range, improve the traffic efficiency by optimizing and adjusting signal lamps, adjusting lane setting and the like if vehicles are too congested, and reduce the traffic cost. The set traffic management platform adopts the combination of artificial intelligence and the Internet of Things, so that the data processing and analysis capability of the cloud platform is remarkably enhanced, the efficiency and the automation degree of the cloud platform are improved, and the data can be processed and analyzed more efficiently and more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic management, and in particular to a smart traffic management platform based on big data. Background Art

[0002] With the development of Internet of Things technology, the management of traffic roads is becoming more and more information-based, making transportation safer and more orderly.

[0003] Authorization announcement number (CN110021185B) discloses a smart traffic management system, including a navigation service platform, a cloud control platform and a vehicle terminal. It can monitor and regulate vehicle driving in real time; in addition, it can quickly find and remotely reserve parking spaces around the destination, and can also achieve real-time dynamic speed limits throughout the abnormal weather section, and real-time limit the safe distance between vehicles, to ensure the safety and smoothness of highway traffic.

[0004] However, the existing technology fails to effectively detect abnormal data based on the big data generated by traffic roads and transmit it to vehicle user terminals, traffic control user terminals and other user terminals in a timely manner, so that each user terminal is unable to detect abnormal traffic problems in a timely manner and make timely processing. Moreover, when a traffic accident is discovered, rescue cannot be effectively dispatched and new routes cannot be replanned. A smart traffic management platform based on big data is needed to solve this problem. Summary of the invention

[0005] The purpose of the present invention is to provide a smart traffic management platform based on big data to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a smart traffic management platform based on big data, including a cloud platform terminal, an information database, an Internet of Things, an artificial intelligence module, a real-time monitoring and positioning module, and an accident prevention module; The cloud platform terminal is interconnected with the information database, the cloud platform terminal is connected with the Internet of Things and artificial intelligence module, and the cloud platform terminal is connected with the real-time monitoring and positioning module and the accident prevention module.

[0007] As a preferred technical solution of the present invention, the cloud platform terminal is connected to the artificial intelligence module through a 5G network, the Internet of Things and the artificial intelligence module are both connected to the remote control terminal, and the remote control terminal is connected to the backup module. First, the combination of artificial intelligence and the Internet of Things significantly enhances the data processing and analysis capabilities of the cloud platform, and can process and analyze these data more efficiently and accurately.

[0008] As a preferred technical solution of the present invention, the real-time monitoring and positioning module contains a high-definition camera, an infrared radar detector and a signal light control module, wherein the high-definition camera and the infrared radar detector can monitor the road traffic conditions in real time, including information on vehicle density, driving speed, and traffic flow, and the signal light control module can improve traffic efficiency and reduce congestion and emissions by optimizing and adjusting signal lights, adjusting lane settings, etc.

[0009] As a preferred technical solution of the present invention, the real-time monitoring and positioning module is also provided with a data anomaly detection module and a data analysis and optimization module. The data analysis and optimization module is set to collect, store, process and analyze relevant traffic data, and use big data and artificial intelligence modules to extract useful information.

[0010] As a preferred technical solution of the present invention, the accident prevention module is connected to form an accident precision monitoring module, an AI image recognition module, a road condition information feedback module and an illegal vehicle processing module, wherein the accident precision monitoring module can accurately locate the location where the accident occurred.

[0011] As a preferred technical solution of the present invention, the cloud platform terminal is connected to a power supply module, and the information database, real-time monitoring and positioning module and accident prevention module are all connected to the power supply module.

[0012] As a preferred technical solution of the present invention, the information database is divided into three parts: basic vehicle information, basic user information and driving records. When a traffic accident occurs, the basic information of the accident vehicle and driver and related driving records can be quickly retrieved through the information database.

[0013] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention is a smart traffic management platform based on big data. The high-definition cameras and infrared radar detectors in the traffic management platform provided by the present invention can monitor the road traffic conditions in real time, including information on vehicle density, driving speed, and traffic flow. The accident precision monitoring module and AI image recognition module can locate the accident location and quickly dispatch rescue forces to reduce the scope of the accident. If the vehicle is too congested, traffic efficiency can be improved by optimizing and adjusting the signal lights and lane settings.

[0014] (2) The present invention is a smart traffic management platform based on big data. The traffic management platform provided by the present invention adopts a combination of artificial intelligence and the Internet of Things to significantly enhance the data processing and analysis capabilities of the cloud platform, shorten the response time, reduce network congestion, and improve the efficiency and automation of the cloud platform, so that the data can be processed and analyzed more efficiently and accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a system block diagram of a smart traffic management platform based on big data according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] Below, the invention is further described in conjunction with the accompanying drawings and specific embodiments: Example

[0018] refer to Figure 1 Embodiment 1 is described, including a cloud platform terminal, an information database, an Internet of Things, an artificial intelligence module, a real-time monitoring and positioning module, and an accident prevention module; The cloud platform terminal is connected to the information database, the cloud platform terminal is connected to the Internet of Things and artificial intelligence module, the cloud platform terminal is connected to the real-time monitoring and positioning module and the accident prevention module, the cloud platform terminal is connected to the artificial intelligence module through the 5G network, the Internet of Things and the artificial intelligence module are both connected to the remote control terminal, and the remote control terminal is connected to the backup module. First, the combination of artificial intelligence and the Internet of Things significantly enhances the data processing and analysis capabilities of the cloud platform, and can process and analyze these data more efficiently and accurately. Secondly, artificial intelligence and Internet of Things devices can make instant decisions without relying on cloud platform connections, which can shorten response time, reduce network congestion, and ensure that key processes can run uninterruptedly. Finally, the combination of artificial intelligence and the Internet of Things improves the efficiency and automation of the cloud platform, supporting Artificial intelligence IoT devices can automate and optimize various processes, thereby improving the efficiency of the overall platform. The accident prevention module is connected to the accident precision monitoring module, AI image recognition module, road condition information feedback module and illegal vehicle processing module. The accident precision monitoring module can accurately locate the location of the accident and quickly transmit the information to the remote control terminal, while the AI ​​image recognition module and the road condition information feedback module can detect traffic accidents in time, and quickly dispatch rescue forces to reduce the scope of the accident. Finally, the setting of the illegal vehicle processing module can impose illegal penalties on some vehicles that do not comply with traffic regulations. The cloud platform terminal is connected to the power supply module, and the information database, real-time monitoring and positioning module and accident prevention module are all connected to the power supply module. The information database is divided into three parts: basic vehicle information, basic user information and driving records.

[0019] In this embodiment, when a traffic accident occurs, the basic information of the accident vehicle and the driver and the relevant driving records can be quickly retrieved through the information database to check whether it is fatigue driving or drunk driving. It is also convenient to quickly notify the emergency center, traffic police and family members so that they can get rescue in the first time and quickly clear the traffic. Example

[0020] In specific applications, the real-time monitoring and positioning module contains a high-definition camera, an infrared radar detector and a signal light control module. The high-definition camera and infrared radar detector can monitor road traffic conditions in real time, including information on vehicle density, driving speed, and traffic flow. These data can help traffic management departments to understand road conditions in a timely manner so as to make corresponding management measures. The signal light control module can improve traffic efficiency, reduce congestion and emissions by optimizing and adjusting signal lights and lane settings. The real-time monitoring and positioning module also has a data anomaly detection module and a data analysis and optimization module. The data analysis and optimization module collects, stores, processes and analyzes relevant traffic data, uses big data and artificial intelligence modules to extract useful information, and compares the data through the data anomaly detection module. If an abnormality occurs, the technology is transmitted to the remote control terminal through the artificial intelligence module.

[0021] In the description of the present invention, it should be noted that the orientations or positional relationships indicated by the terms "top", "bottom", "one side", "the other side", "front", "back", "middle part", "inside", "top end", "bottom end", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention; the terms "first", "second", and "third" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance; in addition, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart traffic management platform based on big data, characterized in that: It includes cloud platform terminal, information database, Internet of Things, artificial intelligence module, real-time monitoring and positioning module and accident prevention module; The cloud platform terminal is interconnected with the information database, the cloud platform terminal is connected with the Internet of Things and artificial intelligence module, and the cloud platform terminal is connected with the real-time monitoring and positioning module and the accident prevention module.

2. According to the big data-based intelligent traffic management platform of claim 1, it is characterized in that: The cloud platform terminal is connected to the artificial intelligence module through the 5G network, the Internet of Things and the artificial intelligence module are both connected to the remote control terminal, and the remote control terminal is connected to the backup module. First of all, the combination of artificial intelligence and the Internet of Things significantly enhances the data processing and analysis capabilities of the cloud platform, and can process and analyze these data more efficiently and accurately.

3. According to the big data-based intelligent traffic management platform of claim 1, it is characterized in that: The real-time monitoring and positioning module contains a high-definition camera, an infrared radar detector and a signal light control module. The high-definition camera and the infrared radar detector can monitor the road traffic conditions in real time, including information on vehicle density, driving speed and traffic flow. The signal light control module can improve traffic efficiency and reduce congestion and emissions by optimizing and adjusting signal lights and lane settings.

4. The intelligent traffic management platform based on big data according to claim 1 is characterized in that: The real-time monitoring and positioning module is also provided with a data anomaly detection module and a data analysis and optimization module. The data analysis and optimization module is set to collect, store, process and analyze relevant traffic data, and use big data and artificial intelligence modules to extract useful information.

5. The intelligent traffic management platform based on big data according to claim 1 is characterized in that: The accident prevention module is connected and consists of an accident precision monitoring module, an AI image recognition module, a road condition information feedback module and an illegal vehicle processing module, wherein the accident precision monitoring module can accurately locate the location where the accident occurred.

6. The intelligent traffic management platform based on big data according to claim 1 is characterized in that: The cloud platform terminal is connected to the power supply module, and the information database, real-time monitoring and positioning module and accident prevention module are all connected to the power supply module.

7. The intelligent traffic management platform based on big data according to claim 1 is characterized in that: The information database is composed of three parts: basic vehicle information, basic user information and driving records. When a traffic accident occurs, the basic information of the accident vehicle and the driver as well as the relevant driving records can be quickly retrieved through the information database.

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