CN114464003A - Traffic dispersion system and traffic dispersion method - Google Patents

Traffic dispersion system and traffic dispersion method Download PDF

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CN114464003A
CN114464003A CN202210036241.6A CN202210036241A CN114464003A CN 114464003 A CN114464003 A CN 114464003A CN 202210036241 A CN202210036241 A CN 202210036241A CN 114464003 A CN114464003 A CN 114464003A
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张玉人
周盛宗
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Fujian Institute of Research on the Structure of Matter of CAS
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    • G08G1/00Traffic control systems for road vehicles
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Abstract

本申请公开了一种交通疏导系统和交通疏导的方法,所述交通疏导系统包括:音频处理模块,设置在各交通路径的入口,用于获取、处理进入各交通路径的车辆音频信息;目标识别分析处理模块,与所述音频处理模块连接,识别出特殊车辆音频信息后获取、分析进入各交通路径的特殊车辆的图像信息,在所述特殊车辆为执勤状态时形成特殊车辆交通信号调度方案,交通信号灯控制模块,根据所述特殊车辆交通信号调度方案,向所述各交通路径的交通信号灯发送对应的调度信号。本申请可把音频处理、视频目标处理、交通信号灯控制系统集成在一块开发板上,节约了成本,提高了数据传输处理效率。The present application discloses a traffic guidance system and a traffic guidance method. The traffic guidance system includes: an audio processing module, which is arranged at the entrance of each traffic path and is used to acquire and process the audio information of vehicles entering each traffic path; target recognition The analysis and processing module is connected with the audio processing module, and after identifying the audio information of the special vehicle, obtains and analyzes the image information of the special vehicle entering each traffic path, and forms a special vehicle traffic signal scheduling scheme when the special vehicle is on duty, The traffic signal light control module sends corresponding dispatch signals to the traffic lights of each traffic path according to the special vehicle traffic signal dispatch scheme. The present application can integrate audio processing, video target processing, and traffic signal control system on one development board, thereby saving costs and improving data transmission processing efficiency.

Description

Traffic dispersion system and traffic dispersion method
Technical Field
The application relates to a traffic dispersion system and a traffic dispersion method, and belongs to the field of image deep learning application and the field of intelligent traffic in the field of intelligent traffic.
Background
In recent years, the behavior that vehicles block the driving of an ambulance due to traffic lights at multiple intersections occurs, the optimal time for treating patients is delayed, the reason of occurrence of an event is a problem that a small amount of the event is a factor for the supervisor of a driver, but most of the event is an objective and irresistible factor, at present, when an emergency occurs, a traffic police nearby can command traffic acceleration to carry out the same trip, but most of special vehicles generally wait for the vehicles ahead to give way or wait for the road to pass through, and under the condition, the illness state or disaster dangerous situation is delayed seriously, so that the situation occurs, and timely traffic diversion is very necessary.
Disclosure of Invention
The application is a special vehicle discernment traffic mediation system based on target identification, and when special vehicle passed through the traffic crossing, the system can discern special vehicle direction of travel to control traffic signal director, real-time control traffic signal lamp function, but the universal application is in various special vehicles on duty.
In one aspect of the present application, a traffic grooming system is provided, comprising:
the audio processing module is arranged at an entrance of each traffic path and used for acquiring and processing vehicle audio information entering each traffic path, wherein the vehicle audio information comprises special vehicle audio signals;
the target recognition analysis processing module is connected with the audio processing module, is arranged at an inlet of each traffic path, acquires and analyzes real-time road condition image information of the special vehicle entering each traffic path after recognizing the audio information of the special vehicle, wherein the real-time road condition image information comprises vehicle type and license plate information, and forms a special vehicle traffic signal scheduling scheme when the special vehicle is in an on-duty state;
the traffic signal lamp control module sends corresponding scheduling signals to the traffic signal lamps of each traffic path according to the special vehicle traffic signal scheduling scheme;
the special vehicle is a vehicle for performing a special task, and the special vehicle comprises at least one of an ambulance, a police car and a fire truck.
The special vehicle comprises a vehicle which is regulated or approved by a country and is performing a special task, and the special vehicle comprises at least one of an ambulance, a police vehicle, a fire truck, an engineering ambulance and the like.
The special vehicles also comprise ordinary vehicles which are recorded by local traffic police departments and are used for emergency travel.
Optionally, the audio processing module comprises:
the audio receiving unit is used for receiving vehicle audio information on each traffic path;
and the audio processing unit is used for comparing the received vehicle audio information with pre-stored special vehicle audio information and starting the target recognition analysis processing module when the received vehicle audio information is consistent with the pre-stored special vehicle audio information.
Optionally, the target recognition analysis processing module includes:
the video acquisition unit is used for acquiring the image information of the special vehicles on each traffic path after the audio processing module identifies the audio information of the special vehicles;
the video target processing unit is used for identifying the acquired image information of the special vehicle, determining whether the special vehicle in the image information is in a duty state and the vehicle running direction, and generating a special vehicle traffic signal scheduling scheme for adjusting traffic signals at the intersection of a traffic path;
and the method for identifying the acquired image information of the special vehicle is at least one of target classification, target identification and image character extraction.
Optionally, the video target processing unit identifies the acquired image information of the special vehicle, acquires license plate information, compares the license plate information with pre-stored license plate information of the special vehicle, and identifies whether the special vehicle is a special vehicle.
In another aspect of the present application, a method of traffic grooming is provided, the method comprising:
acquiring vehicle audio information of each traffic route, identifying the special vehicle audio information, acquiring and analyzing image information of the special vehicles entering each traffic route, and generating a traffic signal scheduling scheme when the special vehicles are confirmed and in a duty state;
or the method comprises: when the special vehicle is an ordinary vehicle which is recorded by a local traffic police department and is going out emergently, acquiring image information of a traffic path where the special vehicle is located according to pre-stored license plate information of the special vehicle, and generating a traffic signal scheduling scheme;
the method adopts the traffic dispersion system.
Optionally, the acquiring the vehicle audio information of each traffic route specifically includes:
the vehicle audio information of each traffic path is acquired and compared with the special vehicle audio information prestored in the audio processing module, and whether a special vehicle enters each traffic path is judged;
optionally, after the audio information of the special vehicles is identified, the audio processing module outputs a confirmation signal, activates the target identification analysis processing module, and acquires and analyzes the image information of the special vehicles entering each traffic path;
wherein the confirmation signal is a special vehicle audio confirmation signal.
Optionally, the method of determining whether the vehicle is a special vehicle includes: comparing the vehicle contour information in the acquired image information with a vehicle model prestored in the target recognition analysis processing module, and judging whether the vehicle is a special vehicle;
the method for judging whether the special vehicle is in the duty state comprises the following steps: and identifying the working state and the driving direction of the special vehicle according to the image information.
Optionally, the method of determining whether it is a special vehicle further includes: and comparing the acquired license plate information with license plate information prestored in the module, and judging whether the vehicle is a special vehicle.
Optionally, the traffic signal light scheduling scheme includes:
when the traffic dispersion system detects that special vehicles pass through each traffic route, the time of a traffic signal lamp is dynamically adjusted according to the obtained special vehicle information;
when the special vehicle is in a traffic path with a road jam or the special vehicle is in the identification range of the target identification analysis processing module, adjusting a traffic signal lamp, and prolonging the time on the basis of the original passing time until the special vehicle passes through the traffic path;
optionally, the driving direction of the special vehicle is judged according to the driving lane of the special vehicle, and the traffic condition of the traffic path in the driving direction is dynamically dredged.
In yet another aspect of the present application, an electronic device is provided, which includes a video capture device, an audio capture device, and a processor configured to execute the above-mentioned method via execution of the executable instructions
Based on the current target detection technology, when a special vehicle passes through an intersection, the system firstly monitors the special siren sound of the special vehicle on duty, and after the system identifies the siren sound, the system activates the target identification analysis processing module to start detecting the vehicles at the intersection in different directions.
When private vehicles going out in emergency do not have special audio signals to activate the dispersion system, license plate information is stored in the traffic dispersion system in advance after being recorded by a traffic department, the traffic dispersion system is activated, image information of a traffic path where the vehicles are located is obtained, and a traffic signal scheduling scheme is generated.
The beneficial effects that this application can produce include:
1) the special vehicle traffic dispersion system that this application provided, when special vehicle was through the traffic crossing, special vehicle direction of travel can be discerned to the system to control traffic signal director, real-time control traffic signal lamp function can be generally applied to various special vehicles on duty.
2) The system can integrate the audio processing system, the video target processing system and the traffic signal lamp control system on one development board, so that the cost is saved, and the data transmission processing efficiency is improved.
Drawings
Fig. 1 is a schematic block diagram of a traffic grooming system for a special vehicle provided in an embodiment of the present application;
fig. 2 is a schematic work flow diagram of a traffic grooming system for special vehicles according to an embodiment of the present application;
fig. 3 is a schematic diagram of a specific work flow of a special vehicle traffic grooming system provided in an embodiment of the present application.
Detailed Description
The present application will be described in detail with reference to examples, but the present application is not limited to these examples.
Examples
As an embodiment of the present application, as shown in fig. 1, the special vehicle traffic grooming system includes a special audio signal receiving and processing device, a target recognition and analysis processing device, and a traffic signal lamp control device;
the special audio signal receiving and processing device comprises an audio receiver and an audio processing system;
the target recognition analysis processing device comprises a camera and a video target processing system;
the traffic light control device comprises a traffic light control system.
The special audio signal receiving and processing device, the target recognition analysis processing device and the traffic signal lamp control device are integrated on a development board, are arranged at the entrance of each traffic path and are used for collecting vehicle information on each traffic path.
As shown in fig. 2, which is a schematic view of a work flow of a traffic dispersion system for a special vehicle, an audio receiver and a video collector (camera) transmit collected signals to a data processing device including an audio processing unit and a video target processing unit, and the signals are processed and analyzed and then output to a signal control device (traffic signal lamp control device) to control traffic lights and disperse traffic.
As shown in fig. 3, which is a schematic diagram of a specific work flow of a special vehicle traffic grooming system, an audio receiver receives audio information of vehicles on each path, the received audio signal is input to an audio processing system, and compared with a pre-stored special audio signal to determine whether a special audio standard exists, if so, an output signal activates a target recognition analysis processing device, a camera is started, and information of the special vehicles on each path is collected; if not, the target recognition analysis processing device is not activated, and the audio receiver continues to receive the audio information of the vehicles on each path.
The camera collects information of special vehicles on each path, including vehicle type, warning light, license plate information and the like; the vehicle type information is compared with a budget special vehicle model, and if the vehicle type information is the special vehicle model, whether the vehicle type information is in an execution state is judged according to the state of the warning lamp; and if the vehicle is not the special vehicle, the audio acquisition and comparison are continued.
And if the collected special vehicle is in the duty state, forming a traffic signal lamp scheduling scheme according to the driving direction in the image, outputting signals, adjusting the time of the traffic signal lamp and dredging traffic.
Although the present application has been described with reference to a few embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application as defined by the appended claims.

Claims (10)

1.一种交通疏导系统,其特征在于,包括:1. a traffic guidance system, is characterized in that, comprises: 音频处理模块,设置在各交通路径的入口,用于获取、处理进入各交通路径的车辆音频信息,其中所述车辆音频信息包括特殊车辆音频信息;an audio processing module, arranged at the entrance of each traffic path, for acquiring and processing vehicle audio information entering each traffic path, wherein the vehicle audio information includes special vehicle audio information; 目标识别分析处理模块,与所述音频处理模块连接,设置在各交通路径的入口,识别出特殊车辆音频信息后,获取、分析进入各交通路径的特殊车辆的实时路况图像信息,所述实时路况图像信息包括车型、车牌信息,在所述特殊车辆为执勤状态时形成特殊车辆交通信号调度方案;The target recognition analysis and processing module is connected with the audio processing module, and is arranged at the entrance of each traffic path. After identifying the audio information of the special vehicle, it acquires and analyzes the real-time road condition image information of the special vehicle entering each traffic path. The image information includes vehicle type and license plate information, and a special vehicle traffic signal scheduling scheme is formed when the special vehicle is on duty; 交通信号灯控制模块,根据所述特殊车辆交通信号调度方案,向所述各交通路径的交通信号灯发送对应的调度信号;The traffic signal light control module, according to the special vehicle traffic signal scheduling scheme, sends the corresponding scheduling signal to the traffic signal lights of each traffic path; 所述特殊车辆为执行特殊任务的车辆,所述特殊车辆包括救护车、警车、消防车、工程救险车中的至少一种。The special vehicle is a vehicle for performing special tasks, and the special vehicle includes at least one of an ambulance, a police car, a fire truck, and an engineering rescue vehicle. 2.根据权利要求1所述的交通疏导系统,其特征在于,2. The traffic guidance system according to claim 1, characterized in that, 所述音频处理模块包括:The audio processing module includes: 音频接收单元,用于接收各交通路径上的车辆音频信息;an audio receiving unit for receiving vehicle audio information on each traffic path; 音频处理单元,将所述接收的车辆音频信息,与预先存储的特殊车辆音频信息进行比对,在一致时启动所述目标识别分析处理模块。The audio processing unit compares the received vehicle audio information with the pre-stored special vehicle audio information, and starts the target recognition analysis and processing module when they are consistent. 3.根据权利要求1所述的交通疏导系统,其特征在于,3. The traffic guidance system according to claim 1, characterized in that, 所述目标识别分析处理模块包括:The target recognition analysis and processing module includes: 视频采集单元,在音频处理模块识别出特殊车辆音频信息后,用于采集各交通路径上的特殊车辆的图像信息;The video acquisition unit is used to collect the image information of the special vehicle on each traffic path after the audio processing module identifies the audio information of the special vehicle; 视频目标处理单元,识别获取的所述特殊车辆的图像信息,确定所述图像信息中特殊车辆是否处于执勤状态以及车辆行驶方向,生成特殊车辆交通信号调度方案,用于调整交通路径的路口处的交通信号;The video target processing unit recognizes the acquired image information of the special vehicle, determines whether the special vehicle is on duty and the direction of the vehicle in the image information, and generates a special vehicle traffic signal scheduling scheme, which is used to adjust the traffic path at the intersection. traffic signal; 其中,所述识别获取的所述特殊车辆的图像信息采用的方法为目标分类、目标识别、图像文字提取中的至少一种。Wherein, the method used for the identification and acquisition of the image information of the special vehicle is at least one of target classification, target recognition, and image text extraction. 4.根据权利要求3所述的交通疏导系统,其特征在于,4. The traffic guidance system according to claim 3, characterized in that, 所述视频目标处理单元,识别获取的所述特殊车辆的图像信息,获得车牌信息,与预先存储的特殊车辆车牌信息进行比对,识别是否是特殊车辆。The video target processing unit recognizes the acquired image information of the special vehicle, obtains the license plate information, and compares it with the pre-stored license plate information of the special vehicle to identify whether it is a special vehicle. 5.一种交通疏导的方法,其特征在于,5. A method for traffic diversion, characterized in that, 所述方法包括:The method includes: 获取各交通路径的车辆音频信息,识别出特殊车辆音频信息获取、分析进入各交通路径的特殊车辆的图像信息,在确认特殊车辆处于执勤状态时生成交通信号调度方案;Acquire the vehicle audio information of each traffic path, identify the audio information of the special vehicle, acquire and analyze the image information of the special vehicle entering each traffic path, and generate a traffic signal scheduling plan when it is confirmed that the special vehicle is on duty; 或者所述方法包括:根据预先存储的特殊车辆的车牌信息,获取所述特殊车辆位于的交通路径的图像信息,生成交通信号调度方案;Or the method includes: acquiring image information of the traffic path where the special vehicle is located according to pre-stored license plate information of the special vehicle, and generating a traffic signal scheduling scheme; 其中,所述方法采用权利要求1~4任一项所述的交通疏导系统。Wherein, the method adopts the traffic guidance system according to any one of claims 1-4. 6.根据权利要求5所述的方法,其特征在于,所述方法还包括:6. The method according to claim 5, wherein the method further comprises: 所述获取各交通路径的车辆音频信息具体包括:The obtaining of the vehicle audio information of each traffic path specifically includes: 获取各交通路径的车辆音频信息与所述音频处理模块中预先存储的特殊车辆音频信息进行比对,判断是否有特殊车辆进入各交通路径;Comparing the acquired vehicle audio information of each traffic path with the pre-stored special vehicle audio information in the audio processing module to determine whether a special vehicle enters each traffic path; 优选地,识别出特殊车辆音频信息后,所述音频处理模块输出确认信号,激活所述目标识别分析处理模块,获取、分析进入各交通路径的特殊车辆的图像信息;Preferably, after identifying the audio information of the special vehicle, the audio processing module outputs a confirmation signal, activates the target recognition analysis processing module, and acquires and analyzes the image information of the special vehicle entering each traffic path; 其中所述确认信号为特殊车辆音频确认信号。The confirmation signal is a special vehicle audio confirmation signal. 7.根据权利要求5所述的方法,其特征在于,7. The method of claim 5, wherein: 判定是否是特殊车辆的方法包括:将获取的图像信息中的车辆轮廓信息与所述目标识别分析处理模块中预先存储的车辆模型进行比对,判断是否是特殊车辆;The method for judging whether it is a special vehicle includes: comparing the vehicle outline information in the acquired image information with the vehicle model pre-stored in the target recognition analysis processing module to determine whether it is a special vehicle; 判断特殊车辆是否处于执勤状态的方法包括:根据图像信息,识别特殊车辆的工作状态以及行驶方向。The method for judging whether the special vehicle is on duty includes: identifying the working state and the driving direction of the special vehicle according to the image information. 8.根据权利要求7所述的方法,其特征在于,8. The method of claim 7, wherein 判定是否是特殊车辆的方法还包括:将获取的牌照信息与模块中预先存储的牌照信息进行比对,判断是否是特殊车辆。The method for determining whether it is a special vehicle further includes: comparing the acquired license plate information with the license plate information pre-stored in the module to determine whether it is a special vehicle. 9.根据权利要求5所述的方法,其特征在于,9. The method of claim 5, wherein: 所述交通信号灯调度方案包括:The traffic signal scheduling scheme includes: 当所述交通疏导系统检测到特殊车辆经过各交通路径时,根据获得的特殊车辆信息,动态调整交通信号灯时间;When the traffic guidance system detects that the special vehicle passes through each traffic path, it dynamically adjusts the time of the traffic signal according to the obtained special vehicle information; 当特殊车辆处于道路拥堵的交通路径或者特殊车辆在目标识别分析处理模块的识别范围内时,调整交通信号灯,在原有通行时间基础上延长时间,直到特殊车辆车辆通过所述交通路径;When the special vehicle is in the traffic path with road congestion or the special vehicle is within the recognition range of the target recognition analysis and processing module, adjust the traffic signal lights to extend the time on the basis of the original passing time until the special vehicle passes through the traffic path; 优选地,根据所述特殊车辆行驶车道,判断特殊车辆行驶方向,动态疏导所述行驶方向上的交通路径的交通情况。Preferably, according to the driving lane of the special vehicle, the driving direction of the special vehicle is determined, and the traffic situation of the traffic path in the driving direction is dynamically guided. 10.一种电子设备,其特征在于,10. An electronic device, characterized in that, 包括视频采集装置、音频采集装置和处理器,所述处理器配置为经由执行所述可执行指令来执行权利要求5~9任一项所述的方法。A video capture device, an audio capture device, and a processor are included, and the processor is configured to perform the method of any one of claims 5-9 by executing the executable instructions.
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CN113763717A (en) * 2021-08-31 2021-12-07 广州文远知行科技有限公司 Vehicle identification method and device, computer equipment and storage medium
CN113793518A (en) * 2021-09-13 2021-12-14 浙江大华技术股份有限公司 Vehicle passing processing method and device, electronic equipment and storage medium

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