Intelligent traffic signal control system considering real-time traffic conditions

Abstract

The present invention relates to an intelligent traffic signal control system that takes into account real-time traffic conditions. More specifically, the invention relates to an intelligent traffic signal control system that takes into account real-time traffic conditions, which can improve traffic congestion and conventional signal systems by utilizing existing installed CCTV cameras to identify traffic volume based on video information captured from the CCTV cameras and dynamically assigning signal times to traffic lights according to the traffic volume. To this end, the present invention provides an intelligent traffic signal control system that takes into account real-time traffic conditions, comprising: an image processing unit that receives image information captured from a CCTV camera and automatically recognizes vehicles within the image through an object recognition algorithm; and a traffic light operation calculation unit that calculates traffic volume based on information analyzed from the image processing unit and calculates the operating time of the traffic light based on the calculated traffic volume information.

Description

Technology Field

[0001] The present invention relates to an intelligent traffic signal control system that takes into account real-time traffic conditions. More specifically, the invention relates to an intelligent traffic signal control system that takes into account real-time traffic conditions, which can improve traffic congestion and conventional signal systems by utilizing existing installed CCTV cameras to identify traffic volume based on video information captured from the CCTV cameras and dynamically assigning signal times to traffic lights according to the traffic volume. Background Technology

[0002] Conventional signal systems repeat signals in a fixed manner regardless of traffic conditions, which causes inconvenience in suburban areas or at night when there are no vehicles, as one must wait for the signal even when there are no cars.

[0003] In addition, during busy afternoon hours or rush hour, traffic signals are often short relative to the number of vehicles, causing traffic congestion.

[0004] Due to this conventional signal system, there are vehicles that violate traffic signals to avoid waiting, which creates a risk of accidents between vehicles.

[0005] In addition, as traffic congestion lengthens, carbon emissions increase due to vehicle exhaust gases, leading to environmental pollution problems.

[0006] Prior Art: KR Registered Patent Publication No. 10-2283483 (Published July 29, 2021) The problem to be solved

[0007] The present invention was devised to solve the aforementioned problems, and aims to provide an intelligent traffic signal control system that considers real-time traffic conditions, which utilizes existing CCTVs to identify traffic volume and controls traffic signals according to the identified traffic volume information to resolve traffic congestion and improve the problems associated with conventional signal systems. means of solving the problem

[0008] An intelligent traffic signal control system considering real-time traffic conditions according to the present invention, devised to achieve the above objective, comprises: an image processing unit that receives image information captured from a CCTV camera and automatically recognizes vehicles within the image through an object recognition algorithm; and a traffic light operation calculation unit that calculates traffic volume based on information analyzed from the image processing unit and calculates the operating time of the traffic light based on the calculated traffic volume information.

[0009] In addition, the intelligent traffic signal control system considering real-time traffic conditions according to the present invention includes: an image processing unit that receives video information captured from a CCTV camera and automatically recognizes vehicles within the video through an object recognition algorithm; a traffic light operation calculation unit that calculates traffic volume based on information analyzed from the image processing unit and calculates the operating time of the traffic light based on the calculated traffic volume information; and a traffic light operation control unit that controls the operating signal of the traffic light so that the information calculated by the traffic light operation calculation unit is assigned to the next green signal for which vehicles can drive.

[0010] In addition, the intelligent traffic signal control system considering real-time traffic conditions according to the present invention includes: an image processing unit that receives image information captured from a CCTV camera and automatically recognizes a vehicle in the image through an object recognition algorithm; a traffic light operation calculation unit that calculates traffic volume based on information analyzed from the image processing unit and calculates the operation time of the traffic light based on the calculated traffic volume information; and a traffic light operation control unit that controls the operation signal of the traffic light so that information calculated from the traffic light operation calculation unit is assigned to the next green signal for which a vehicle can drive. The image processing unit includes a vehicle recognition module that analyzes image information captured from a CCTV camera to recognize and track a vehicle from the image information; a vehicle analysis module that tracks the movement of a vehicle, analyzes the type of vehicle driving on the road within a preset zone, and counts the number of vehicles; and a vehicle speed calculation module that calculates the vehicle speed through a predetermined operation based on actual road length information, time information taken for a vehicle to enter and exit the preset zone, frames per second information of the original CCTV video, and frames per second information of the output video output through the object recognition algorithm.

[0011] In addition, the intelligent traffic signal control system considering real-time traffic conditions according to the present invention includes: an image processing unit that receives video information captured from a CCTV camera and automatically recognizes vehicles within the video through an object recognition algorithm; a traffic light operation calculation unit that calculates traffic volume based on information analyzed from the image processing unit and calculates the operating time of the traffic light based on the calculated traffic volume information; and a traffic light operation control unit that controls the operating signal of the traffic light so that information calculated by the traffic light operation calculation unit is assigned to the next green signal for which vehicles can drive. The traffic light operation calculation unit includes a traffic volume measurement module that calculates the average speed of vehicles by analyzing CCTV video, collects lighting time information of the green light, which is an existing vehicle driving signal, from CCTV video, derives the average length of vehicles from vehicle types analyzed by a vehicle analysis module, and calculates the traffic volume based on the said information.

[0012] In addition, the intelligent traffic signal control system considering real-time traffic conditions according to the present invention comprises: an image processing unit that receives image information captured from a CCTV camera and automatically recognizes vehicles within the image through an object recognition algorithm; and a traffic light operation calculation unit that calculates traffic volume based on information analyzed from the image processing unit and calculates the operating time of the traffic light based on the calculated traffic volume information. The system includes a traffic light operation control unit that controls the operation signal of a traffic light so that information calculated by the traffic light operation calculation unit is assigned to the next green signal for which a vehicle can drive. The traffic light operation calculation unit includes a traffic volume measurement module that calculates the average speed of a vehicle by analyzing CCTV footage, collects information on the lighting time of the green light (an existing vehicle driving signal) from the CCTV footage, derives the average length of a vehicle from the vehicle type analyzed by the vehicle analysis module, and calculates the traffic volume based on the above information. The traffic light operation control unit defines a road condition where there are no vehicles or traffic congestion as a reference traffic volume, compares the traffic volume calculated in real time with the predefined traffic volume as a reference value, and assigns a longer green signal operation time if the real-time calculated traffic volume is greater than or equal to a certain value above the reference value, and assigns a shorter green signal operation time if it is less than or equal to a certain value below the reference value. Effects of the invention

[0013] According to the present invention, existing CCTV cameras can be utilized for multiple purposes to save on installation costs, and the invention is effective in increasing traffic efficiency at a low cost.

[0014] In addition, the present invention is effective in improving the traffic signal system by reducing unnecessary signal waiting.

[0015] In addition, according to the present invention, it is effective in preventing accidents caused by vehicles passing through in violation of the signal at high speed when the signal is red.

[0016] In addition, the present invention is effective in reducing exhaust gas and carbon emissions generated during vehicle idling by alleviating traffic congestion. Brief explanation of the drawing

[0017] FIG. 1 is a configuration diagram of an intelligent traffic signal control system considering real-time traffic conditions according to a preferred embodiment of the present invention. FIG. 2 is a diagram showing an example screen outputting the results of measuring the number of vehicles and speeds from image information of an intelligent traffic signal control system considering real-time traffic conditions according to a preferred embodiment of the present invention. FIG. 3 is a diagram showing an example screen displaying signal timing according to traffic volume of an intelligent traffic signal control system that considers real-time traffic conditions according to a preferred embodiment of the present invention. Specific details for implementing the invention

[0018] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First, it should be noted that in assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the present invention, if it is determined that a detailed description of related known components or functions may obscure the essence of the present invention, such detailed description is omitted. Additionally, while preferred embodiments of the present invention will be described below, the technical concept of the present invention is not limited or restricted thereto and can be modified and implemented in various ways by those skilled in the art.

[0020] FIG. 1 is a configuration diagram of an intelligent traffic signal control system considering real-time traffic conditions according to a preferred embodiment of the present invention, FIG. 2 is an example screen showing the result of measuring the number of vehicles and speed from image information of an intelligent traffic signal control system considering real-time traffic conditions according to a preferred embodiment of the present invention, and FIG. 3 is a diagram showing an example screen showing signal time according to traffic volume of an intelligent traffic signal control system considering real-time traffic conditions according to a preferred embodiment of the present invention.

[0022] The present invention aims to generate a traffic-responsive signal system for controlling signals according to traffic volume by measuring road traffic volume by considering various situations such as the number of vehicles, vehicle speed, and vehicle type in video captured by a CCTV camera, based on this.

[0024] Referring to FIGS. 1 to 3, an intelligent traffic signal control system (1000) considering real-time traffic conditions according to a preferred embodiment of the present invention comprises an image processing unit (100), a traffic light operation calculation unit (200), and a traffic light operation control unit (300).

[0026] To explain each component in more detail, the image processing unit (100) receives image information captured from the CCTV camera (1) and automatically recognizes a vehicle in the image through an object recognition algorithm.

[0028] Specifically, the image processing unit (100) is configured to include a vehicle recognition module (110), a vehicle analysis module (120), and a vehicle speed calculation module (130).

[0030] The vehicle recognition module (110) analyzes video information captured from the CCTV camera (1) to automatically recognize a vehicle from the video information and tracks the recognized vehicle. Specifically, the vehicle recognition module (110) analyzes the video information frame by frame and counts the number of vehicles while tracking the movement of the vehicle to prevent duplicate counting of the same vehicle in each frame.

[0032] The vehicle analysis module (120) tracks the movement of the vehicle, counts the number of vehicles, and analyzes the recognized vehicles to analyze the type of vehicles.

[0034] Vehicle type is information necessary to roughly determine the actual length of vehicles used as a variable for calculating traffic volume; once the vehicle type is analyzed, the length of the vehicle corresponding to that type is automatically matched.

[0036] To this end, vehicle length information corresponding to each vehicle type is stored in a database (not shown).

[0038] The vehicle type is automatically detected based on the vehicle image by analyzing the vehicle image in the video using deep learning technology.

[0040] To this end, image information of various types of vehicles, including buses, trucks, and private cars, is trained on a learning model, and the vehicle type is automatically analyzed from the vehicle image information based on the learning model.

[0042] The vehicle speed calculation module (130) calculates the vehicle speed through a predetermined operation based on the actual road length information, the time taken for the vehicle to enter and exit a set area, the frames per second information of the original CCTV video, and the frames per second information of the output video output through an object recognition algorithm.

[0044] Vehicle speed is calculated by the following formula 1.

[0046] [Formula 1]

[0047] Vehicle Speed ​​= Actual Road Length / Time Taken to Enter and Exit Zone * (Original Video Frames Per Second / Output Video Frames Per Second)

[0049] The actual road length information refers to the actual length of the set section when a section is set by generating two virtual lines within the image and measuring the vehicle speed when entering and exiting the set section.

[0051] Actual road length information is collected in advance and stored in a database (not yet built).

[0053] The original video frames per second refers to the frame per second information of the actual CCTV video, and the above information is collected from the CCTV camera (1).

[0055] The output image frames per second refers to the frame-per-second information of the image output through the object recognition algorithm, and the said information is collected from the image information output through the object recognition algorithm.

[0057] The reason the original video frames per second and the output video frames per second are used to calculate vehicle speed is that there was a difference between the speed of the actual CCTV video and the frames per second of the video output through the object recognition algorithm, which caused an error in the vehicle speed value.

[0059] Therefore, in order to correct the vehicle speed value to the actual speed value, the frames per second (fps) value of the video output after passing through the object recognition algorithm is divided and multiplied by the frames per second of the original CCTV video.

[0061] The traffic light operation calculation unit (200) calculates the traffic volume based on the information analyzed from the image processing unit (100), and calculates the lighting time of the traffic light based on the calculated traffic volume information.

[0063] Specifically, the traffic light operation calculation unit (200) comprises a traffic volume measurement module (210) and a traffic light operation time calculation module (220).

[0065] The traffic volume measurement module (210) calculates the average speed of a vehicle by analyzing CCTV footage, collects information on the lighting time of a green light, which is an existing vehicle driving signal, from the video information captured by the CCTV camera (1), derives the average length of a vehicle from the vehicle type analyzed by the vehicle analysis module (120), and calculates the traffic volume based on the above information.

[0067] Traffic volume is calculated by the following formula 2.

[0069] [Formula 2]

[0070] Traffic volume = g × (Number of vehicles / (Average vehicle speed × Current green light duration)) × Average vehicle length

[0072] Here, the current green light time is the existing green light time information output from the CCTV video, and the above information is information obtained from the CCTV video.

[0074] In addition, the g value refers to the correction factor obtained by changing the value to acquire the most optimized green light time.

[0076] Additionally, when the average length of a vehicle is analyzed by the vehicle analysis module (120) to be a specific vehicle type, the average length of the vehicle corresponding to the vehicle type is searched from the database (not shown) and used in the traffic volume calculation formula.

[0078] To this end, average length information for each vehicle is stored in advance in a database (not shown) according to the vehicle type.

[0080] The average speed of a vehicle is a value obtained by storing the time information when the vehicle enters a predetermined first section and the center coordinates of the vehicle, storing the time information when the vehicle enters a predetermined second section, and then multiplying the value obtained by subtracting the time information when the vehicle enters the first section from the time information when the vehicle enters the second section by the actual length of the section.

[0082] The traffic volume measurement module (210) measures the traffic volume of vehicles using the road during the time when the green light, which is a vehicle driving signal, is on, and when the color of the signal light changes to a red light where vehicles stop, it stops measuring the traffic volume and resets the stored vehicle speed information and the number of vehicles.

[0084] The traffic light operation time calculation module (220) calculates the operation time of the green light signal during which a vehicle can travel based on the traffic volume calculated from the traffic volume measurement module (210) and the arbitrarily set maximum signal time and minimum signal time.

[0086] The operating time of the green light signal during which vehicles can move is calculated using the following Formula 3.

[0088] [Calculation Formula 3]

[0089] Green light duration = Minimum signal time + (Maximum signal time - Minimum signal time) × Traffic volume

[0091] Here, the minimum signal time is a value arbitrarily set according to road conditions, representing the signal operation time during which the green light (vehicle driving signal) is maintained for the minimum duration, and the maximum signal time is a value arbitrarily set according to road conditions, representing the signal operation time during which the green light (vehicle driving signal) is maintained for the maximum duration.

[0093] The traffic light operation control unit (300) controls the operation signal of the traffic light so that the information calculated by the traffic light operation calculation unit (200) is assigned to the next green signal.

[0095] The traffic light operation control unit (300) defines a road condition in which there are no vehicles or traffic congestion as a reference traffic volume, and compares the traffic volume calculated in real time with the previously defined traffic volume as a reference value. If the traffic volume calculated in real time is greater than or equal to a certain value than the reference value, it grants a longer operating time for the green signal, and if it is less than or equal to a certain value than the reference value, it grants a shorter operating time for the green signal.

[0097] Accordingly, the traffic light operation control unit (300) controls the operation of the traffic light so that if the real-time calculated traffic volume is measured to be greater for B than for A, the signal time for B is given more than for A in the next signal.

[0099] FIG. 3 is a diagram showing an example screen displaying signal timing according to traffic volume of an intelligent traffic signal control system considering real-time traffic conditions according to a preferred embodiment of the present invention. Referring to FIG. 3, it can be seen that in the lower diagram, where the traffic volume is measured to be higher than in the upper diagram, the next signal is given for 54 seconds, which is about 9 seconds longer.

[0101] In particular, despite the fact that the number of passing vehicles varies significantly depending on the environment—such as at night when traffic is low and during the afternoon when traffic is high—conventionally, the same signal timing was assigned; however, in the present invention, signal timing can be assigned flexibly according to traffic volume.

[0103] The intelligent traffic signal control system considering real-time traffic conditions according to a preferred embodiment of the present invention has the advantage of helping to improve the traffic signal system by reducing unnecessary signal waiting, preventing accidents caused by vehicles passing through at high speed in violation of the signal when it is a red light where vehicles are required to stop, and contributing to the reduction of exhaust gas and carbon emissions generated during the idling of congested vehicles.

[0105] In addition, by enabling the multi-purpose use of existing CCTV cameras, it is possible to save on installation costs, and it is expected that traffic efficiency can be improved at a low cost.

[0107] The foregoing description is merely an illustrative explanation of the technical concept of the present invention, and those skilled in the art to which the present invention pertains will be able to make various modifications, changes, and substitutions within the scope of the essential characteristics of the present invention. Accordingly, the embodiments disclosed in the present invention and the accompanying drawings are intended to explain, not limit, the technical concept of the present invention, and the scope of the technical concept of the present invention is not limited by such embodiments and accompanying drawings. The scope of protection of the present invention shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of the present invention. Explanation of the symbols

[0108] 1 - CCTV camera 100 - Image processing unit 110 - Vehicle recognition module 120 - Vehicle Analysis Module 130 - Vehicle Speed ​​Calculation Module 200 - Traffic light operation calculation unit 210 - Traffic volume measurement module 220 - Traffic light operating time calculation module 300 - Traffic light operation control unit 1000 - Intelligent traffic signal control system considering real-time traffic conditions

Claims

Claim 1 An image processing unit that receives video information captured from a CCTV camera and automatically recognizes vehicles within the video through an object recognition algorithm; and a traffic light operation calculation unit that calculates traffic volume based on information analyzed by the image processing unit and calculates the operating time of the traffic light based on the calculated traffic volume information; The system includes a traffic light operation control unit that controls the operation signal of a traffic light so that information calculated by the traffic light operation calculation unit is assigned to the next green signal for which a vehicle can drive, and the image processing unit includes a vehicle recognition module that analyzes image information captured by a CCTV camera to recognize and track a vehicle from the image information, a vehicle analysis module that tracks the movement of a vehicle, analyzes the type of vehicle driving on the road within a preset zone, and counts the number of vehicles, and a vehicle speed calculation module that calculates the vehicle speed through a predetermined operation based on actual road length information, time information taken for a vehicle to enter and exit the preset zone, frames per second information of the original CCTV video, and frames per second information of the output video output through an object recognition algorithm, and the traffic light operation calculation unit calculates the average speed of a vehicle by analyzing the CCTV video, collects lighting time information of the green light which is the existing vehicle driving signal from the CCTV video, derives the average length of the vehicle from the vehicle analysis module, and calculates the traffic volume based on the above information; A traffic light operation time calculation module that calculates the operation time of a green light signal during which a vehicle can travel, based on the traffic volume calculated from a traffic volume measurement module and arbitrarily set maximum signal time and minimum signal time;An intelligent traffic signal control system considering real-time traffic conditions, comprising: a traffic light operation control unit that defines a road condition with no vehicles or traffic congestion as a reference traffic volume, compares the real-time traffic volume calculated using the predefined traffic volume as a reference value, grants a longer green signal operation time if the real-time traffic volume is greater than or equal to a certain value above the reference value, and grants a shorter green signal operation time if it is less than or equal to a certain value below the reference value; a traffic volume measurement module that calculates traffic volume by reflecting the average vehicle length in (number of vehicles / (average vehicle speed × green light operation time)) using the number of vehicles, average vehicle speed, green light illumination time, and average vehicle length as variables; and a traffic light operation time calculation module that is configured to calculate the green signal operation time according to the relationship minimum signal time + (maximum signal time - minimum signal time) × traffic volume. Claim 2 delete Claim 3 delete Claim 4 delete Claim 5 delete

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