CN113658437A - Traffic signal lamp control system - Google Patents

Traffic signal lamp control system Download PDF

Info

Publication number
CN113658437A
CN113658437A CN202111218785.6A CN202111218785A CN113658437A CN 113658437 A CN113658437 A CN 113658437A CN 202111218785 A CN202111218785 A CN 202111218785A CN 113658437 A CN113658437 A CN 113658437A
Authority
CN
China
Prior art keywords
resistor
module
traffic
unit
communication unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111218785.6A
Other languages
Chinese (zh)
Inventor
孙伟
刘芬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zaozhuang Zhibo Intelligent Technology Co Ltd
Original Assignee
Zaozhuang Zhibo Intelligent Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zaozhuang Zhibo Intelligent Technology Co Ltd filed Critical Zaozhuang Zhibo Intelligent Technology Co Ltd
Priority to CN202111218785.6A priority Critical patent/CN113658437A/en
Publication of CN113658437A publication Critical patent/CN113658437A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • G08G1/08Controlling traffic signals according to detected number or speed of vehicles

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a traffic signal lamp control system, which relates to the field of traffic signal lamp control and comprises the following components: the system comprises an image acquisition module, a vehicle and pedestrian detection module, an external environment detection module, a main control module, a traffic light control module and a communication module; the image acquisition module is used for acquiring images, the vehicle and pedestrian detection module is used for identifying and detecting vehicles and pedestrians, the external environment detection module is used for detecting external temperature and haze, the main control module is used for receiving calculation analysis data and output signals, the traffic light control module is used for controlling traffic lights, and the communication module is used for communication. The traffic signal lamp control system has the functions of detecting temperature and haze, detecting the working environment of the traffic lamp so as to improve the performance of the traffic lamp, acquiring images, detecting and analyzing traffic flow and pedestrian flow in an interested area, and transmitting data to the user terminal by using the communication function so that the user terminal can know the environment and flow condition of the traffic lamp in real time.

Description

Traffic signal lamp control system
Technical Field
The invention relates to the field of traffic signal lamp control, in particular to a traffic signal lamp control system.
Background
Along with the rapid development of the level of urban motorization, most of cities in China face traffic jam pressure, particularly in the center of the city, the land development intensity is continuously increased, the traffic flow of roads in the area is continuously increased, the traffic jam is more severe, the traffic accident rate is increased, which directly or indirectly causes the waste of energy and resources, air pollution and long-term noise problems, so that an effective traffic signal lamp control system is particularly important, at present, in the traditional traffic signal lamp control system, a fixed signal lamp proportioning scheme is often calculated by a offline algorithm, a driver cannot know the road condition of an intersection in real time, the problem of traffic jam occurs in the peak period of people flow, the waste of energy and resources is indirectly caused, and the problem of insufficient and unclear brightness easily occurs in the traditional LED traffic lamp under the severe weather environment, leading to drivers and pedestrians not being able to see the traffic light indication clearly, resulting in danger.
Disclosure of Invention
The embodiment of the invention provides a traffic signal lamp control system, which aims to solve the problems in the background technology.
According to an embodiment of the present invention, there is provided a traffic signal control system including: the system comprises an image acquisition module, a vehicle and pedestrian detection module, an external environment detection module, a main control module, a traffic light control module and a communication module;
the image acquisition module is used for acquiring image data on a lane and a sidewalk;
the vehicle and pedestrian detection module is connected with the output end of the image acquisition module, is used for identifying vehicles and pedestrians displayed by image data, and is used for detecting the traffic flow and the pedestrian flow in the area and outputting detection data;
the external environment detection module is used for detecting the temperature and the haze degree around the traffic light and outputting a voltage signal;
the main control module is connected with the output ends of the image acquisition module, the vehicle and pedestrian detection module and the external environment detection module, is used for receiving the image data output by the image acquisition module, the detection data of the vehicle and pedestrian detection module and the voltage signal output by the external environment detection module, and is used for outputting a control signal and a data signal.
The traffic light control module is connected with the first output end of the main control module and is used for controlling the work of the traffic light;
the communication module is connected with the communication end of the main control module and used for receiving the data signal output by the main control module and realizing wireless communication.
Compared with the prior art, the invention has the beneficial effects that: the traffic signal lamp control system has the functions of temperature and haze detection, can detect the environmental problems around the traffic lamp and control the traffic lamp through the integrated circuit, improves the functionality of the traffic lamp, has the function of image acquisition, detects and analyzes the traffic flow and the pedestrian flow in the region of interest, transmits the analyzed traffic flow and pedestrian flow data to the user terminal by utilizing the communication function, enables the user terminal to know the environment and the flow condition of the traffic lamp in real time, makes a route plan and avoids traffic jam.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic block diagram of a traffic signal control system according to an embodiment of the present invention.
FIG. 2 is a schematic block diagram of a vehicle and pedestrian detection module provided in accordance with an embodiment of the present invention.
Fig. 3 is a circuit diagram of a traffic signal control system according to an embodiment of the present invention.
Fig. 4 is a schematic connection diagram of a communication module according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a traffic signal light control system, including: the system comprises an image acquisition module 1, a vehicle and pedestrian detection module 2, an external environment detection module 3, a main control module 4, a traffic light control module 5 and a communication module 6;
specifically, the image acquisition module 1 is used for acquiring image data on a lane and a sidewalk;
the input end of the vehicle and pedestrian detection module 2 is connected with the output end of the image acquisition module 1, and the vehicle and pedestrian detection module 2 is used for identifying vehicles and pedestrians displayed by image data, detecting the traffic flow and the pedestrian flow in the area and outputting detection data;
the external environment detection module 3 is used for detecting the temperature and the haze degree around the traffic light and outputting a voltage signal;
the main control module 4, the receiving terminal of the main control module 4 is connected respectively the output ends of the image acquisition module 1, the vehicle and pedestrian detection module 2 and the external environment detection module 3, and is used for receiving the image data output by the image acquisition module 1, the detection data of the vehicle and pedestrian detection module 2 and the voltage signal output by the external environment detection module 3, and outputting a control signal and a data signal.
The traffic light control module 5 is connected with the first output end of the main control module 4 and is used for controlling the work of the traffic light;
and the communication module 6 is connected with the communication end of the main control module 4 and used for receiving the data signal output by the main control module 4 and realizing wireless communication.
In a specific embodiment, the image acquisition module 1 may adopt a high-definition camera to acquire images of vehicles and pedestrians in an area of interest; the vehicle and pedestrian detection module 2 can adopt a micro-processing chip XC5VLX155T to detect vehicles and pedestrians by using a convolutional neural network algorithm; the external environment detection module 3 can detect the temperature of the traffic light and the external environment by adopting a temperature sensor, so that the influence on the use of the traffic light caused by overlarge temperature difference is avoided, and the environmental haze degree is detected by adopting a haze sensor J1; the main control module 4 can adopt a digital signal processor (DPS) or a Field Programmable Gate Array (FPGA) to receive, analyze and process signals, and output control signals and data signals to control the traffic signal lamp to work; the traffic light control module 5 can control the switching of the traffic light by adopting a relay control mode, so that the normal use of the traffic light in haze and low-temperature weather is realized; the communication module 6 can adopt a ZigBee network (ZigBee) and a general packet radio service network (GPRS) network to realize data integration reception and remote transmission of traffic lights at different intersections.
Example 2: on the basis of the embodiment 1, referring to fig. 2, in a specific embodiment of the traffic light control system according to the present invention, the vehicle and pedestrian detection module 2 includes a feature extraction unit 201, an area selection unit 202, an interest-region pooling processing unit 203, and a feature map determination unit 204;
specifically, the feature extraction unit 201 is configured to perform feature extraction on input image data through a convolutional neural network and output feature information;
a region selection unit 202, configured to perform region selection through a regional network and output region-of-interest information;
the region-of-interest pooling processing unit 203 is used for inputting the region-of-interest information and the feature information into the region-of-interest pooling layer to obtain a feature map with a fixed size;
the feature map determining unit 204 is configured to process the feature map through a full connection layer, a classification layer and a bounding box regression layer to obtain a final detection result; the input end of the feature extraction unit 201 is connected to the output end of the image acquisition module 1, the output end of the feature extraction unit 201 is connected to the input end of the region selection unit 202 and the first input end of the region-of-interest pooling processing unit 203, the output end of the region selection unit 202 is connected to the second input end of the region-of-interest pooling processing unit 203, and the output end of the region-of-interest pooling processing unit 203 is connected to the receiving end of the main control module 4 through the feature map determination unit 204.
In a specific embodiment, the feature extraction unit 201 may select a Squeeze Net (compression network) neural network, and perform feature extraction on the image data through the Squeeze Net neural network; the region selection unit 202 may select a region by using a region generation (RPN) network, extract a candidate frame of the image data, and output an interested region including information of a category and a bounding box; the region-of-interest pool processing unit can select a region-of-interest (ROl) pooling layer, extract and output feature maps with the same size from the Rol with different sizes mapped on the convolution feature maps; the characteristic diagram determining unit 204 may select a full connection layer, a classification layer and a boundary frame regression layer, the characteristic diagram output by the roi processing unit is calculated by the full connection layer to obtain the classification layer and the boundary frame regression layer, and calculates a loss function, determines the quality of the characteristic diagram parameters, returns the damaged function to the roi processing unit through a set sample to be processed again, and outputs a final detection, identification and analysis result.
Example 3: based on embodiment 1, please refer to fig. 3, in an embodiment of the traffic light control system of the present invention, the external environment detection module 3 includes a first power supply +5V, a first resistor R1, a first capacitor C1, a first switch tube N1, a second resistor R2, a third resistor R3, a fourth resistor R4, and a haze sensor J1;
specifically, the sixth end of the haze sensor J1 and the first end of the first resistor R1 are connected to the first power source +5V, the second end of the first resistor R1 and the first end of the first capacitor C1 are connected to the first end of the haze sensor J1, the second end of the haze sensor J1, the other end of the first capacitor C1 and the emitter of the first switch tube N1 are all grounded, the fourth end of the haze sensor J1 is grounded, the fifth end of the haze sensor J1 is connected to the first end of the fourth resistor R4 through the third resistor R3, the second end of the fourth resistor R4 is grounded, the third end of the haze sensor J1 is connected to the collector of the first switch tube N1, and the first end of the second resistor R2 is connected to the base of the first switch tube N1.
Further, the external environment detection module 3 further includes a second capacitor C2, a first temperature sensor J2, a second temperature sensor J3, a fifth resistor R5, and a second power supply + 5V;
specifically, the power supply terminal of the first temperature sensor J2, the power supply terminal of the second temperature sensor J3, one end of the fifth resistor R5, and one end of the second capacitor C2 are connected to the second power supply +5V, the ground terminal of the first temperature sensor J2, the second end of the second temperature sensor J3, and the other end of the second capacitor C2 are all grounded, and the output terminal of the first temperature sensor J2 and the output terminal of the second temperature sensor J3 are connected to the other end of the fifth resistor R5.
Further, the main control module 4 includes a first controller U1;
specifically, a first control terminal of the first controller U1 is connected to a second terminal of the second resistor R2, a second control terminal of the first controller U1 is connected to a first terminal of the fourth resistor R4, and a third control terminal of the first controller U1 is connected to an output terminal of the first temperature sensor J2 and an output terminal of the second temperature sensor J3.
Further, the traffic light control module 5 includes a sixth resistor R6, an isolator U2, a seventh resistor R7, an eighth resistor R8, a first diode D1, a second diode D2, a third power supply +5V, a ninth resistor R9, a second switching tube D2, a first relay K1, a first contact switch K1-1, a conventional traffic light L1, and a traffic fog light L2;
specifically, one end of the sixth resistor R6 is connected to the fourth control end of the first controller U1, the other end of the sixth resistor R6 is connected to the first end of the isolator U2, the second end of the isolator U2 is grounded, the third end of the isolator U2 is connected to +5V of the third power supply, the cathode of the second diode D2 and one end of the first relay K1 through the seventh resistor R7, the fourth end of the isolator U2 is connected to one end of the eighth resistor R8 and the cathode of the first diode D1, the anode of the first diode, the other end of the eighth resistor R8 and one end of the ninth resistor R9 are both connected with the gate of the second switch tube D2, the other end of the ninth resistor R9 and the source of the second switch tube D2 are both grounded, the drain of the second switch tube D2 is connected with the anode of the second diode D2 and the other end of the first relay K1, the moving end of the first contact switch K1-1 is connected with the second output end of the main control module 4, and the stationary end of the first contact switch K1-1 is connected with the conventional traffic light L1 and the traffic fog light L2.
In a specific embodiment, GP2Y1014AU can be selected as the haze sensor J1, and the haze concentration is judged by detecting the particle degree in the air; the first temperature sensor J2 and the second temperature sensor J3 can be DS18B20 temperature sensors, and transmit temperature signals to the first controller U1 by means of a single cable; the first switch tube N1 can be an NPN type triode and is used for driving the haze sensor J1 to work; the isolator U2 may be a TLP521 or a 6N137 photocoupler, where a TLP521 coupler is used to realize isolation driving; the first controller U1 can receive, calculate, analyze and process signals by a TMS320VC5510 microprocessor and output control signals and data signals; the first relay K1 controls the first contact switch K1-1 to work, and the first contact switch K1-1 is connected with the conventional traffic light L1 when not working.
Example 4: based on embodiment 1, please refer to fig. 4, in an embodiment of the traffic light control system of the present invention, the communication module 6 includes a first communication unit 601, a second communication unit 602, a network coordination unit 603, a GPRS communication unit 604, a monitoring center 605 and a user terminal 606;
the first communication unit 601 is configured to receive the data signal output by the main control module 4 and wirelessly transmit the data signal;
the second communication unit 602 is configured to receive and output the data signal transmitted by the first communication unit 601;
the network coordination unit 603 is configured to receive the data signal output by the second communication unit 602 and perform network forwarding through network coordination;
the GPRS communication unit 604 is configured to receive the data signal forwarded by the network coordination unit 603, and perform intercommunication and transmission with an Internet network through a GPRS network;
the first end of the first communication unit 601 is connected to the communication end of the main control module 4, the second end of the first communication unit 601 is wirelessly connected to the first end of the second communication unit 602, the second end of the second communication unit 602 is connected to the monitoring center 605 through the first end of the GPRS communication unit 604, the second end of the GPRS communication unit 604 is connected to the user terminal 606, and the third end of the GPRS communication unit 604 is connected to the user terminal 606.
In a specific embodiment, the first communication unit 601 and the second communication unit 602 both use CC2530 wireless communication chips, and transmit data through a ZigBee network; the network coordinator can select a coordination serial port to connect the ZigBee network and the GPRS network, the monitoring center 605 receives data signals transmitted by the ZigBee network coordinator through the GPRS network, the user terminal 606 interacts with the Internet network through the GPRS network, and data reception is performed through related APP software.
In the embodiment of the invention, the external environment detection module is used for detecting the temperature of the traffic light, the traffic light is compared with the external environment by comparing the temperature, and the surrounding environment of the traffic light is detected by haze, when the detected haze degree and temperature difference are large, the main control module 4 can control the traffic light control module 5 to work, control the traffic light L2 to work, and enhance the normal work of the traffic light in the haze weather and the weather with low temperature, meanwhile, the image acquisition module 1 acquires image data in the region through a camera, the vehicle and pedestrian detection module 2 identifies, detects and analyzes the traffic flow and the pedestrian flow by using a convolutional neural network algorithm and transmits the data to the main control module 4, the main control module 4 processes and packages the data through an internal software system and sends the data to the communication module 6, and the communication module 6 realizes data interaction through a ZigBee network and a GPRS network, and finally transmitted to the monitoring center 605 and the user terminal 606 through the GPRS network.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (7)

1. A traffic signal lamp control system characterized by:
this traffic signal lamp control system includes: the system comprises an image acquisition module, a vehicle and pedestrian detection module, an external environment detection module, a main control module, a traffic light control module and a communication module;
the image acquisition module is used for acquiring image data on a lane and a sidewalk;
the vehicle and pedestrian detection module is connected with the output end of the image acquisition module, is used for identifying vehicles and pedestrians displayed by image data, and is used for detecting the traffic flow and the pedestrian flow in the area and outputting detection data;
the external environment detection module is used for detecting the temperature and the haze degree around the traffic light and outputting a voltage signal;
the main control module is connected with the output ends of the image acquisition module, the vehicle and pedestrian detection module and the external environment detection module, is used for receiving the image data output by the image acquisition module, the detection data of the vehicle and pedestrian detection module and the voltage signal output by the external environment detection module, and is used for outputting a control signal and a data signal.
The traffic light control module is connected with the first output end of the main control module and is used for controlling the work of the traffic light;
the communication module is connected with the communication end of the main control module and used for receiving the data signal output by the main control module and realizing wireless communication.
2. The traffic signal lamp control system according to claim 1, wherein the vehicle and pedestrian detection module comprises a feature extraction unit, a region selection unit, a region-of-interest pooling processing unit and a feature map determination unit;
the characteristic extraction unit is used for extracting the characteristics of the input image data through a convolutional neural network and outputting characteristic information;
the region selection unit is used for performing region selection through a regional network and outputting region-of-interest information;
the interested region pooling processing unit is used for inputting the interested region information and the characteristic information into the interested region pooling layer so as to obtain a characteristic diagram with a fixed size;
the characteristic diagram determining unit is used for processing the characteristic diagram through a full connection layer, a classification layer and a boundary frame regression layer to obtain a final detection result;
the input end of the feature extraction unit is connected with the output end of the image acquisition module, the output end of the feature extraction unit is connected with the input end of the region selection unit and the first input end of the interested region pooling processing unit, the output end of the region selection unit is connected with the second input end of the interested region pooling processing unit, and the output end of the interested region pooling processing unit is connected with the receiving end of the main control module through the feature map determining unit.
3. The traffic signal lamp control system according to claim 1, wherein the external environment detection module comprises a first power supply, a first resistor, a first capacitor, a first switch tube, a second resistor, a third resistor, a fourth resistor and a haze sensor;
the first power supply is connected with a sixth end of the haze sensor and a first end of the first resistor, the first end of the haze sensor is connected with a second end of the first resistor and the first capacitor, a second end of the haze sensor, the other end of the first capacitor and an emitting electrode of the first switch tube are all grounded, a fourth end of the haze sensor is grounded, a fifth end of the haze sensor is connected with a first end of the fourth resistor through the third resistor, a second end of the fourth resistor is grounded, a third end of the haze sensor is connected with a collector electrode of the first switch tube, and a base electrode of the first switch tube is connected with a first end of the second resistor.
4. The traffic signal lamp control system according to claim 3, wherein the external environment detection module further comprises a second capacitor, a first temperature sensor, a second temperature sensor, a fifth resistor, and a second power supply;
the power end of the first temperature sensor, the power end of the second temperature sensor, one end of the fifth resistor and one end of the second capacitor are connected with the second power supply, the grounding end of the first temperature sensor, the second end of the second temperature sensor and the other end of the second capacitor are all grounded, and the output end of the first temperature sensor and the output end of the second temperature sensor are connected with the other end of the fifth resistor.
5. A traffic signal control system as claimed in claim 4, wherein said master control module comprises a first controller;
the first control end of the first controller is connected with the second end of the second resistor, the second control end of the first controller is connected with the first end of the fourth resistor, and the third control end of the first controller is connected with the output end of the first temperature sensor and the output end of the second temperature sensor.
6. The traffic signal lamp control system according to claim 5, wherein the traffic signal lamp control module comprises a sixth resistor, an isolator, a seventh resistor, an eighth resistor, a first diode, a second diode, a third power supply, a ninth resistor, a second switch tube, a first relay, a first contact switch, a conventional traffic lamp and a traffic fog lamp;
one end of the sixth resistor is connected with a fourth control end of the first controller, the other end of the sixth resistor is connected with a first end of the isolator, a second end of the isolator is grounded, a third end of the isolator is connected with a third power supply, a cathode of the second diode and one end of the first relay through the seventh resistor, a fourth end of the isolator is connected with one end of the eighth resistor and a cathode of the first diode, an anode of the first diode, the other end of the eighth resistor and one end of the ninth resistor are connected with a grid electrode of the second switch tube, the other end of the ninth resistor and a source electrode of the second switch tube are grounded, a drain electrode of the second switch tube is connected with an anode of the second diode and the other end of the first relay, a moving end of the first contact switch is connected with a second output end of the main control module, and a stationary end of the first contact switch is connected with the conventional traffic light and the traffic fog light.
7. The traffic signal lamp control system according to claim 1, wherein the communication module comprises a first communication unit, a second communication unit, a network coordination unit, a GPRS communication unit, a monitoring center and a user terminal;
the first communication unit is used for receiving the data signals output by the main control module and performing wireless transmission;
the second communication unit is used for receiving and outputting the data signal transmitted by the first communication unit;
the network coordination unit is used for receiving the data signal output by the second communication unit and carrying out network forwarding through network coordination;
the GPRS communication unit is used for receiving the data signals forwarded by the network coordination unit and communicating and transmitting the data signals with the Internet through a GPRS network;
the first end of the first communication unit is connected with the communication end of the main control module, the second end of the first communication unit is in wireless connection with the first end of the second communication unit, the second end of the second communication unit is connected with the first end of the GPRS communication unit, the second end of the GPRS communication unit is connected with the monitoring center, and the third end of the GPRS communication unit is connected with the user terminal.
CN202111218785.6A 2021-10-20 2021-10-20 Traffic signal lamp control system Pending CN113658437A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111218785.6A CN113658437A (en) 2021-10-20 2021-10-20 Traffic signal lamp control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111218785.6A CN113658437A (en) 2021-10-20 2021-10-20 Traffic signal lamp control system

Publications (1)

Publication Number Publication Date
CN113658437A true CN113658437A (en) 2021-11-16

Family

ID=78494704

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111218785.6A Pending CN113658437A (en) 2021-10-20 2021-10-20 Traffic signal lamp control system

Country Status (1)

Country Link
CN (1) CN113658437A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114093181A (en) * 2021-12-28 2022-02-25 长春职业技术学院 LED traffic street lamp for road prompt
CN114374811A (en) * 2022-01-04 2022-04-19 珠海市金品创业共享平台科技有限公司 Television and three-in-one core board thereof

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120154176A1 (en) * 2010-12-21 2012-06-21 GE Lighting Solutions, LLC Led traffic signal compensation and protection methods
CN206312372U (en) * 2016-12-14 2017-07-07 史金明 Traffic lights failure automated watch-keeping facility
CN109045676A (en) * 2018-07-23 2018-12-21 西安交通大学 A kind of Chinese chess identification learning algorithm and the robot intelligence dynamicization System and method for based on the algorithm
CN208422115U (en) * 2018-05-17 2019-01-22 魏智博 A kind of crossroad haze traffic lights
CN110009052A (en) * 2019-04-11 2019-07-12 腾讯科技(深圳)有限公司 A kind of method of image recognition, the method and device of image recognition model training
CN110349407A (en) * 2019-07-08 2019-10-18 长安大学 A kind of compartmentalization traffic light control system and method based on deep learning
CN110619750A (en) * 2019-08-15 2019-12-27 重庆特斯联智慧科技股份有限公司 Intelligent aerial photography identification method and system for illegal parking vehicle
CN111127927A (en) * 2019-12-27 2020-05-08 南京佳数佳智信息科技有限公司 Traffic road monitoring device based on artificial intelligence
CN112530181A (en) * 2020-12-07 2021-03-19 安徽信息工程学院 Traffic signal lamp and traffic signal lamp control system
CN113313022A (en) * 2021-05-27 2021-08-27 北京百度网讯科技有限公司 Training method of character recognition model and method for recognizing characters in image

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120154176A1 (en) * 2010-12-21 2012-06-21 GE Lighting Solutions, LLC Led traffic signal compensation and protection methods
CN206312372U (en) * 2016-12-14 2017-07-07 史金明 Traffic lights failure automated watch-keeping facility
CN208422115U (en) * 2018-05-17 2019-01-22 魏智博 A kind of crossroad haze traffic lights
CN109045676A (en) * 2018-07-23 2018-12-21 西安交通大学 A kind of Chinese chess identification learning algorithm and the robot intelligence dynamicization System and method for based on the algorithm
CN110009052A (en) * 2019-04-11 2019-07-12 腾讯科技(深圳)有限公司 A kind of method of image recognition, the method and device of image recognition model training
CN110349407A (en) * 2019-07-08 2019-10-18 长安大学 A kind of compartmentalization traffic light control system and method based on deep learning
CN110619750A (en) * 2019-08-15 2019-12-27 重庆特斯联智慧科技股份有限公司 Intelligent aerial photography identification method and system for illegal parking vehicle
CN111127927A (en) * 2019-12-27 2020-05-08 南京佳数佳智信息科技有限公司 Traffic road monitoring device based on artificial intelligence
CN112530181A (en) * 2020-12-07 2021-03-19 安徽信息工程学院 Traffic signal lamp and traffic signal lamp control system
CN113313022A (en) * 2021-05-27 2021-08-27 北京百度网讯科技有限公司 Training method of character recognition model and method for recognizing characters in image

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114093181A (en) * 2021-12-28 2022-02-25 长春职业技术学院 LED traffic street lamp for road prompt
CN114374811A (en) * 2022-01-04 2022-04-19 珠海市金品创业共享平台科技有限公司 Television and three-in-one core board thereof

Similar Documents

Publication Publication Date Title
CN113658437A (en) Traffic signal lamp control system
CN102424016B (en) Automobile headlamp automatic control system based on machine vision
CN111473980B (en) Intelligent automobile automatic driving capability test system
CN104392629B (en) The method and apparatus of inspection vehicle distance
CN109389046B (en) All-weather object identification and lane line detection method for automatic driving
WO2018232906A1 (en) Intelligent street lamp monitoring method and device
CN114399900B (en) Smart city traffic management system and method based on remote sensing technology
CN110428654B (en) Traffic signal lamp intersection safe passing method and system
CN110083099B (en) Automatic driving architecture system meeting automobile function safety standard and working method
CN206805801U (en) Hazardous vehicles cross the street caution system
US10568188B2 (en) On-demand street lighting for a connected vehicle
CN106778534A (en) Surrounding environment method for recognition of lamplight in a kind of vehicle traveling
CN111210629A (en) Intelligent traffic control method and system based on street lamp pole
CN105262983A (en) Road monitoring system and method based on internet of lamps
CN105139661A (en) Traffic detection and early warning system and method
CN113034906A (en) Crossroad port management and control system based on intelligent transportation
CN103578280A (en) Traffic flow monitoring system based on Internet of Things and vehicle monitoring method
Hsia et al. An Intelligent IoT-based Vision System for Nighttime Vehicle Detection and Energy Saving.
CN209388489U (en) A kind of traffic signals scheme and real-time status acquisition device
CN114445733A (en) Night road information sensing system based on machine vision, radar and WiFi and information fusion method
CN111311958A (en) Turning road condition reminding method and system based on V2X technology and V2X server
CN210515649U (en) Intelligent traffic signal control system based on raspberry group and internet
CN107895502A (en) A kind of smart city intelligent transportation guides system
CN209822024U (en) T-shaped intersection traffic light system
CN111599157A (en) Smart city intelligent terminal application system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20211116

RJ01 Rejection of invention patent application after publication