CN211264452U - Traffic guidance control platform based on big data - Google Patents
Traffic guidance control platform based on big data Download PDFInfo
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- CN211264452U CN211264452U CN201921797274.2U CN201921797274U CN211264452U CN 211264452 U CN211264452 U CN 211264452U CN 201921797274 U CN201921797274 U CN 201921797274U CN 211264452 U CN211264452 U CN 211264452U
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Abstract
The utility model discloses a traffic guidance control platform based on big data, which comprises a traffic flow data acquisition device, a traffic guidance control device and a traffic guidance control device, wherein the traffic flow data acquisition device is used for acquiring traffic flow data of a traffic center platform; the environment parameter receiving device is used for receiving the road surface environment parameters detected by the environment monitor; the processor is used for correspondingly generating an inducing signal and a control signal by combining traffic flow data and road surface environment parameters; the traffic guidance issuing device is used for controlling the traffic guidance issuing device to issue early warning information according to the guidance signal; and the traffic signal control device is used for controlling the working state of the traffic lights of each road section according to the control signal. The utility model discloses a gather road surface real-time environment parameter and traffic flow data, control traffic guidance issue device and traffic signal controlling means carry out the operation of early warning information issue and traffic light control, can improve the smooth and easy nature that the motor vehicle travel, reduce the environment discharge pressure of motor vehicle, solve current traffic road environmental problem.
Description
Technical Field
The utility model relates to a traffic signal platform constitutes the structure field, especially relates to an induced control platform of traffic based on big data.
Background
At present, the traditional traffic control guidance system is generally based on real-time traffic flow data detection, and the traffic flow state is calculated and controlled by established control and guidance algorithms when detected. There is also an impact on environmental issues that accompanies transportation systems. In recent years, haze weather appears in many cities in China, and one main reason for the increasingly serious air pollution in China is the increasingly increased exhaust emission of motor vehicles.
Besides normal running, road vehicles are influenced by traditional traffic control and traffic induction and can be in various running states such as deceleration, idling and acceleration, so that the emission concentration of tail gas of the motor vehicle is increased, and the fuel efficiency of the motor vehicle is reduced. Even more alarming is that in places with dense pedestrian flows, the pedestrians are exposed to places with serious vehicle exhaust pollution for a long time, and obvious discomfort is caused to the pedestrians.
SUMMERY OF THE UTILITY MODEL
In order to overcome the defects of the prior art, the utility model aims to provide a traffic induction control platform based on big data through reasonable induction and control, improves the smooth and easy nature that the motor vehicle traveles, reduces the environmental discharge pressure of motor vehicle, alleviates environmental problem.
The purpose of the utility model is realized by adopting the following technical scheme:
a big-data based traffic-inducing control platform, comprising:
the traffic flow data acquisition device is connected with the traffic center platform through a communication port and is used for acquiring traffic flow data of the traffic center platform;
the environment parameter receiving device is connected with a plurality of environment monitors through a wireless network and is used for receiving the road surface environment parameters detected by the environment monitors;
the signal input end of the processor is connected with the signal output ends of the traffic flow data acquisition device and the environmental parameter receiving device and is used for correspondingly generating an induction signal and a control signal by combining traffic flow data and road surface environmental parameters;
the signal input end of the traffic guidance issuing device is connected with the signal output end of the processor and used for controlling the traffic guidance issuing device to issue early warning information according to the guidance signal;
and the signal input end of the traffic signal control device is connected with the signal output end of the processor, and the signal output end of the traffic signal control device is connected with the traffic lights of all road sections and is used for controlling the working state of the traffic lights of all road sections according to the control signal.
And the traffic warning platform is connected with the signal input end of the processor through a wireless network and is used for collecting traffic event parameters of the traffic warning platform.
Further, the traffic warning situation platform comprises one or more of a police car vehicle-mounted terminal, a mobile police terminal, a 110 alarm platform and a traffic center platform.
Further, the processor is connected with a real-time traffic database, and the processor generates real-time traffic states of all road sections in the road network according to the traffic event parameters and the traffic flow data and stores the real-time traffic states in the real-time traffic database.
Further, the traffic flow data comprises traffic history data, traffic real-time data and short-time traffic prediction data.
Further, the road environmental parameters include, but are not limited to, exhaust pollution gas type and content, fixed particulate matter type and content, noise value and meteorological parameters.
Further, the traffic guidance issuing device includes but is not limited to a vehicle navigation terminal, a mobile phone navigation terminal, and a traffic police command terminal.
Further, the early warning information includes, but is not limited to, optimal navigation route recommendation, air quality of a road section in the navigation route, vehicle driving speed recommendation, and traffic police command recommendation.
Compared with the prior art, the beneficial effects of the utility model reside in that:
the road surface real-time environmental parameters and the traffic flow data are acquired by the traffic flow data acquisition device and the environmental parameter receiving device, and the traffic guidance issuing device and the traffic signal control device are controlled to execute the operations of issuing the early warning information and controlling the traffic lights after being processed by the processor, so that the running smoothness of the motor vehicle can be improved, the environmental discharge pressure of the motor vehicle is reduced, and the existing traffic road environmental problem is solved.
Drawings
Fig. 1 is a schematic structural view of the present invention;
in the figure: 1. a traffic flow data acquisition device; 2. an environmental parameter receiving device; 3. a processor; 4. a traffic guidance issuing device; 5. traffic signal control device.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that the embodiments or technical features described below can be arbitrarily combined to form a new embodiment without conflict.
A big data based traffic guidance control platform, as shown in FIG. 1, comprises:
the traffic flow data acquisition device 1 is connected with a traffic center platform through a communication port, and is used for acquiring traffic flow data of the traffic center platform;
the environment parameter receiving device 2 is connected with a plurality of environment monitors through a wireless network and is used for receiving the road surface environment parameters detected by the environment monitors;
a signal input end of the processor 3 is connected with signal output ends of the traffic flow data acquisition device 1 and the environmental parameter receiving device 2 and is used for correspondingly generating an induction signal and a control signal by combining traffic flow data and road surface environmental parameters;
the signal input end of the traffic guidance issuing device 4 is connected with the signal output end of the processor 3 and used for controlling the traffic guidance issuing device 4 to issue early warning information according to the guidance signal;
and a signal input end of the traffic signal control device 5 is connected with a signal output end of the processor 3, and a signal output end of the traffic signal control device 5 is connected with the traffic lights of all road sections and is used for controlling the working state of the traffic lights of all road sections according to the control signal.
The concrete working principle of the traffic guidance control platform in this embodiment is as follows:
firstly, the traffic flow data acquisition device 1 is connected with the existing traffic center platform, and the historical traffic flow data and the real-time traffic flow data in the traffic center platform can be acquired under the authorization of the traffic center platform, so that the historical traffic condition and the real-time traffic condition of each road section in a road network can be acquired. And the historical traffic flow data can be stored in a historical traffic database and can be used as a reference and basis for predicting the traffic jam condition at the later stage.
The existing traffic center platform can acquire a real-time road surface picture by shooting through a traffic camera, and the traffic center platform can intelligently identify traffic flow data such as traffic flow, speed, headway time, traffic events, lane numbers, vehicle types, public and private vehicle classification and the like of all road sections in a road network according to the shot road surface picture; in addition, the traffic center platform can be connected with an alarm platform, can receive 110 alarm information in real time, can also receive traffic alarm information of a police car vehicle-mounted terminal and a mobile police terminal, and can also acquire specific accident data of real-time traffic events of current road sections in real time by detecting a real-time road surface video image in the traffic center platform.
In addition, the traffic flow data acquisition device 1 can also acquire the working states of intersection signal lamps of all road sections through the guided traffic signal platform, so that the working states of the intersection signal lamps can be conveniently switched according to a dredging plan in the later period.
The traffic jam conditions of current road sections in a short period of the future are fused and predicted according to various information acquired by the traffic flow data acquisition device 1, and if the real-time traffic flow data shows that the traffic flow of a current road section is small and no traffic event occurs, the traffic prediction result of the road section in the short period can be predicted to be smooth; if the real-time traffic flow data show that the traffic flow of a current road section is large and a traffic event occurs, the traffic jam condition of the road section in a short period can be predicted according to the traffic flow distribution characteristics in the historical traffic database, and whether the grade of the traffic jam of the road section is slow or jammed and the corresponding predicted time of the traffic jam are analyzed.
Secondly, the environmental parameter receiving device 2 collects the road surface environmental parameters of each road section detected by a plurality of environmental monitors on the road surface, wherein the road surface environmental parameters include but are not limited to the type and content of tail gas pollution gas, the type and content of fixed particulate matters, noise values and meteorological parameters.
The processor 3 integrates road surface environment parameters, historical traffic flow data, real-time traffic flow data, short-term traffic prediction results and accident data of traffic events, establishes a control and induction cooperative model together according to the existing modeling mode, and performs empirical model fitting by using the existing artificial neural network technology, so that a traffic flow organization and evacuation plan related to the environmental emission of the motor vehicle can be obtained, wherein the traffic flow organization and evacuation plan comprises induction signals and control signals such as switching suggestions of working states of traffic lights of all road sections, vehicle drainage guidance, pedestrian flow drainage guidance and the like. In addition, the traffic control and induction cooperative model is connected with a plan library, and the plan library stores traffic control and induction measures which are made aiming at different traffic flow sudden changes, traffic accidents and traffic control behaviors, so that more modeling data are provided for the control and induction cooperative module, and the accuracy of traffic flow combination and plan dispersion is improved.
The traffic guidance issuing device 4 issues early warning information after receiving the guidance signal; the traffic guidance release device 4 comprises but is not limited to a vehicle-mounted navigation terminal, a mobile phone navigation terminal and a traffic police command terminal; the early warning information includes but is not limited to optimal navigation route recommendation, air quality of road sections in the navigation route, vehicle driving speed recommendation and traffic police command recommendation.
And the traffic signal control device 5 controls the working state of the traffic lights of each road section after receiving the control signal, thereby relieving the congestion condition of each road section in the road network.
For example, when the processor 3 determines that the traffic jam condition of a certain road section is slow, the processor sends an induction signal to the traffic induction issuing device 4, that is, issues a traffic police command suggestion to the traffic police command terminal, so as to realize information communication with traffic commanders, so that on-site traffic commanders assist in traffic dispersion work, and simultaneously sends a control signal to the traffic signal control device 5, so as to control the red light waiting time of traffic lights of the road section to be shortened, thereby accelerating vehicle dispersion. If the traffic jam condition of the road section is serious, an inducing signal can be sent to the vehicle-mounted navigation terminal to inform a driver of the predicted jam time and remind the driver of the serious jam road section to extinguish the engine for waiting so as to reduce the tail gas emission of the vehicle; meanwhile, the method can also send guidance information to the mobile phone navigation terminal, inform pedestrians of the current air quality of the road section through map navigation software on the mobile phone terminal, recommend routes outside the road section to the pedestrians, and avoid the pedestrians from breathing excessive waste gas.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention cannot be limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are all within the protection scope of the present invention.
Claims (8)
1. A big data-based traffic guidance control platform, comprising:
the traffic flow data acquisition device is connected with the traffic center platform through a communication port and is used for acquiring traffic flow data of the traffic center platform;
the environment parameter receiving device is connected with a plurality of environment monitors through a wireless network and is used for receiving the road surface environment parameters detected by the environment monitors;
the signal input end of the processor is connected with the signal output ends of the traffic flow data acquisition device and the environmental parameter receiving device and is used for correspondingly generating an induction signal and a control signal by combining traffic flow data and road surface environmental parameters;
the signal input end of the traffic guidance issuing device is connected with the signal output end of the processor and used for controlling the traffic guidance issuing device to issue early warning information according to the guidance signal;
and the signal input end of the traffic signal control device is connected with the signal output end of the processor, and the signal output end of the traffic signal control device is connected with the traffic lights of all road sections and is used for controlling the working state of the traffic lights of all road sections according to the control signal.
2. The big data based traffic guidance control platform according to claim 1, further comprising a traffic alert platform connected to the signal input terminal of the processor through a wireless network for collecting traffic event parameters of the traffic alert platform.
3. The big data based traffic guidance control platform of claim 2, wherein the traffic alert platform comprises one or more of a police car onboard terminal, a mobile police terminal, a 110 alert platform, a traffic center platform.
4. The big data-based traffic guidance control platform according to claim 1, wherein the processor is connected with a real-time traffic database, and the processor generates and stores real-time traffic states of all road segments in a road network in the real-time traffic database according to the traffic event parameters and the traffic flow data.
5. The big data based traffic inducement control platform according to claim 4, wherein the traffic flow data comprises traffic history data, traffic real-time data, short-time traffic prediction data.
6. The big data based traffic induction control platform of claim 1, wherein the road environmental parameters include, but are not limited to, exhaust pollution gas type and content, fixed particulate matter type and content, noise values, and meteorological parameters.
7. The big data based traffic guidance control platform according to claim 1, wherein the traffic guidance issuing device includes but is not limited to a vehicle navigation terminal, a mobile phone navigation terminal, and a traffic police command terminal.
8. The big data based traffic guidance control platform of claim 1, wherein the early warning information includes, but is not limited to, optimal navigation route recommendations, air quality of road segments in the navigation route, vehicle speed of travel recommendations, traffic police guidance recommendations.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201921797274.2U CN211264452U (en) | 2019-10-24 | 2019-10-24 | Traffic guidance control platform based on big data |
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| CN201921797274.2U CN211264452U (en) | 2019-10-24 | 2019-10-24 | Traffic guidance control platform based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112803A (en) * | 2021-04-13 | 2021-07-13 | 积善云科技(武汉)有限公司 | Urban traffic road traffic flow data acquisition and analysis processing system based on video monitoring |
| CN113781769A (en) * | 2021-08-09 | 2021-12-10 | 浪潮软件股份有限公司 | Traffic signal lamp control method based on Internet supervision field |
-
2019
- 2019-10-24 CN CN201921797274.2U patent/CN211264452U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112803A (en) * | 2021-04-13 | 2021-07-13 | 积善云科技(武汉)有限公司 | Urban traffic road traffic flow data acquisition and analysis processing system based on video monitoring |
| CN113781769A (en) * | 2021-08-09 | 2021-12-10 | 浪潮软件股份有限公司 | Traffic signal lamp control method based on Internet supervision field |
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