WO2018058957A1 - Intelligent vehicle-road cooperation traffic control system - Google Patents
Intelligent vehicle-road cooperation traffic control system Download PDFInfo
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- WO2018058957A1 WO2018058957A1 PCT/CN2017/083538 CN2017083538W WO2018058957A1 WO 2018058957 A1 WO2018058957 A1 WO 2018058957A1 CN 2017083538 W CN2017083538 W CN 2017083538W WO 2018058957 A1 WO2018058957 A1 WO 2018058957A1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
- B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
- B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
- B60Q1/14—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights having dimming means
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/09626—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages where the origin of the information is within the own vehicle, e.g. a local storage device, digital map
Definitions
- the invention relates to the field of road traffic control, in particular to a roadway cooperative intelligent traffic control system.
- the present invention provides a vehicle road collaborative intelligent traffic control system, which considers more comprehensive factors and can play an intelligent alarm control role in the driving process of the vehicle during the monitoring section.
- Vehicle road cooperative intelligent traffic control system including GPS module, vehicle short-distance communication module, road surface humidity sensor, speed sensor, vehicle processing control module, brake Deceleration assist system, traffic information processing control platform and alarm, among which:
- a GPS module for locating location information of the vehicle
- An in-vehicle short-range communication module is connected to the GPS module for transmitting position information of the respective vehicles to the surrounding vehicles;
- a road surface humidity sensor for monitoring the humidity of the road surface and transmitting it to the vehicle processing control module
- a speed sensor for monitoring vehicle speed and transmitting to the vehicle processing control module
- the vehicle processing control module is connected to the in-vehicle short-distance communication module for obtaining a distance from the surrounding vehicle according to the surrounding vehicle position information calculation processing; and is also respectively connected with the road surface humidity sensor and the brake deceleration auxiliary system;
- the alarm is triggered by the vehicle processing control module when the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value or when the road surface humidity condition is lower than the road surface safety value;
- the vehicle processing control module triggers the brake deceleration assistance system to decelerate
- the traffic information processing control platform is connected with the vehicle processing control module, and is configured to receive and monitor the vehicle position information and the vehicle speed information on the monitoring road section, and analyze and process the same, and determine whether to send the monitoring road section congestion warning signal.
- analysis process includes:
- the monitored vehicle speed and position it is determined whether there is congestion in the monitored road section. If there is a certain number of vehicles in the monitored road section, the average vehicle speed is lower than the speed range set by the monitored road section, and the distance between them is Equal to or lower than the set distance Enclosed, it determines that the monitored road section is congested, and sends an alarm signal to the vehicle processing control module of the vehicle.
- the traffic information processing control platform if the speed exceeds 10% of the upper limit of the monitoring section speed limit, the part of the speed data is set as tracking information, and the alarm information is sent to the vehicle processing control module, if the tracking is performed within a certain time The information overspeed is still kept at the upper limit of the speed limit of the monitoring section and sent to the traffic police department alarm record.
- the present invention further includes a video sensor disposed on the monitoring section, the video sensor being connected to the traffic information processing control platform; and a seat belt detection module disposed in the traffic service control platform for identifying the video acquired from the video sensor
- the driver does not wear a seat belt, detects the upper body area of the human body in the window, and uses the pattern recognition method of the mixed multi-scale deformable part model to perform the seat belt detection.
- the present invention detects that the driver sends the alarm information to the vehicle processing control module of the corresponding vehicle if the driver does not wear the seat belt, and the alarm is triggered by the vehicle processing control module, and the system performs the alarm. Recording; if there is a video sensor of two consecutive monitoring sections, the vehicle driver does not wear the seat belt, and the vehicle processing control module receives the warning signal of the seat belt twice, and simultaneously triggers the brake deceleration system to decelerate.
- the present invention further includes a road light control unit for controlling the traffic light time of the intersection; the road light control unit is connected with the traffic information processing control platform, and receives the traffic light control signal sent by the traffic information processing control platform, and when the monitoring road section is congested In case, the duration of the red light is shorter than the normal time of the road, and the traffic light control unit of the traffic light control unit of the road light control unit is sent to the vehicle processing control module of the vehicle to facilitate the owner. Know ahead of time to prepare for driving.
- the vehicle further includes an intelligent control light system connected to the traffic information processing control platform, and the intelligent light control system controls the opening and closing of the high beam of the vehicle according to the distance between the vehicle and the vehicle.
- the intelligent light control system is activated according to the road condition, and it can be in the front vehicle.
- the rear vehicle is located within a certain distance range, and the comprehensive information obtained by the traffic information processing control platform identifies the vehicle located at the forefront within the distance of the vehicle, allowing the high beam of the vehicle to be turned on, and other vehicles located within the distance of the vehicle.
- the high beam is off.
- the present invention has the beneficial effects:
- Figure 1 Schematic diagram of the structure of the present invention.
- a vehicle road cooperative intelligent traffic control system includes a GPS module, an in-vehicle short-distance communication module, a road surface humidity sensor, a speed sensor, a vehicle processing control module, a brake deceleration assisting system, a traffic information processing control platform, and Alarm, where:
- a GPS module for locating location information of the vehicle
- An in-vehicle short-range communication module is connected to the GPS module for transmitting position information of the respective vehicles to the surrounding vehicles;
- a road surface humidity sensor for monitoring the humidity of the road surface and transmitting it to the vehicle processing control module
- a speed sensor for monitoring vehicle speed and transmitting to the vehicle processing control module
- the vehicle processing control module is connected to the in-vehicle short-distance communication module for obtaining a distance from the surrounding vehicle according to the surrounding vehicle position information calculation processing; and is also respectively connected with the road surface humidity sensor and the brake deceleration auxiliary system;
- the alarm is triggered by the vehicle processing control module when the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value or when the road surface humidity condition is lower than the road surface safety value;
- the vehicle processing control module triggers the brake deceleration assistance system to decelerate
- the traffic information processing control platform is connected with the vehicle processing control module, and is configured to receive and monitor the vehicle position information and the vehicle speed information on the monitoring road section, and analyze and process the same, and determine whether to send the monitoring road section congestion warning signal.
- the analysis process includes:
- the monitored vehicle speed and position it is determined whether there is congestion in the monitored road section. If there is a certain number of vehicles in the monitored road section, the average vehicle speed is lower than the speed range set by the monitored road section, and the distance between them is If it is equal to or lower than the set distance range, it is determined that the monitored road section has a congestion condition, and an alarm signal is sent to the vehicle processing control module of the vehicle.
- the traffic information processing control platform if the speed exceeds 10% of the upper limit of the monitoring section speed limit, the part of the speed data is set as tracking information, and the alarm information is sent to the vehicle processing control module, if the tracking is performed within a certain time The information overspeed is still kept at the upper limit of the speed limit of the monitoring section and sent to the traffic police department alarm record.
- the difference between the embodiment and the first embodiment is that the video sensor is disposed on the monitoring section, and the video sensor is connected to the traffic information processing control platform; and the seat belt detection is provided in the traffic service control platform.
- the module is configured to identify whether the driver has not worn the seat belt in the video data acquired from the video sensor, detect the upper body area of the human body in the window, and perform the seat belt detection by using the pattern recognition method of the mixed multi-scale deformable part model.
- the seat belt detecting module detects that the driver sends the alarm information to the vehicle processing control module of the corresponding vehicle if the seat belt is not worn, and the vehicle processing control module triggers the alarm device to perform the alarm reminding, and the system performs the alarm recording; if there is continuous
- the vehicle processing control module receives the warning signal of the seat belt twice, and simultaneously triggers the brake deceleration system to decelerate.
- the utility model further comprises a road light control unit, configured to control the traffic light time of the intersection; the road light control unit is connected with the traffic information processing control platform, and receives the traffic light control signal sent by the traffic information processing control platform, and the red light continues when the monitoring road section has a congestion situation. Time is shorter than the normal time of the road.
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Abstract
Disclosed is an intelligent vehicle-road cooperation traffic control system, which comprises a GPS module, an in-vehicle short-range communication module, a road surface humidity sensor, a speed sensor, a vehicle processing control module, a braking and decelerating assistance system, a traffic information processing control platform and an alarm, and which is used for locating positional information about a vehicle, transmitting the positional information about each vehicle to a peripheral vehicle, monitoring a road surface humidity condition, monitoring a vehicle speed, performing calculation processing to obtain the distance from the peripheral vehicle according to the positional information about the peripheral vehicle, and sending an alarm signal according to the monitored information condition. The system can play an intelligent alarm and control role in the process of a vehicle travelling in the monitored road section.
Description
本发明涉及道路交通控制领域,尤其涉及一种车路协同智能交通控制系统。The invention relates to the field of road traffic control, in particular to a roadway cooperative intelligent traffic control system.
目前智能交通系统在我国的应用越来越广泛,我国的许多大城市在交通基础设施比较完备的基础上,智能交通系统的发展已经相当成熟了,交通领域的信息化程度在慢慢提高,交通服务水平提高了,居民购车需求就上涨了,随之机动车保有量逐年增加,新的交通需求就又产生了,人们对交通服务的要求也逐渐提高了,这就对交通管理者来说是一个新的考验。At present, the application of intelligent transportation system in China is more and more extensive. On the basis of relatively complete transportation infrastructure in many large cities in China, the development of intelligent transportation system has been quite mature, and the degree of informationization in the transportation field is slowly increasing. The service level has increased, and the demand for car purchases has increased. As the number of motor vehicles has increased year by year, new traffic demands have arisen, and people’s demands for transportation services have gradually increased. This is for traffic managers. A new test.
而针对驾驶员注意力不集中,以及道路情况等因素的影响容易使驾驶员存在驾驶风险,现有的很多智能交通系统只能根据车辆独自的行驶情况进行告警提醒,并不能做到基于车联网架构下实现综合多方面情况对行驶车辆作出最佳的告警控制。However, it is easy for the driver to have driving risk because of the inattention of the driver and the influence of road conditions. Many existing intelligent transportation systems can only alert the vehicle according to the vehicle's own driving situation, and cannot be based on the vehicle network. Under the framework, the comprehensive multi-faceted situation is achieved to provide the best alarm control for the moving vehicles.
发明内容Summary of the invention
为了克服现有技术的不足,本发明提供了一种车路协同智能交通控制系统,它考虑的因素更全面,能够在汽车在监控路段行驶过程中起到智能的告警控制作用。In order to overcome the deficiencies of the prior art, the present invention provides a vehicle road collaborative intelligent traffic control system, which considers more comprehensive factors and can play an intelligent alarm control role in the driving process of the vehicle during the monitoring section.
本发明采用的技术方案如下:The technical solution adopted by the present invention is as follows:
一种车路协同智能交通控制系统,包括GPS模块、车内短距离通信模块、路面湿度传感器、速度传感器、车辆处理控制模块、刹车
减速辅助系统、交通信息处理控制平台和告警器,其中:Vehicle road cooperative intelligent traffic control system, including GPS module, vehicle short-distance communication module, road surface humidity sensor, speed sensor, vehicle processing control module, brake
Deceleration assist system, traffic information processing control platform and alarm, among which:
GPS模块,用于定位车辆的位置信息;a GPS module for locating location information of the vehicle;
车内短距离通信模块,与GPS模块连接,用于将各自车辆的位置信息传输给周边车辆;An in-vehicle short-range communication module is connected to the GPS module for transmitting position information of the respective vehicles to the surrounding vehicles;
路面湿度传感器,用于监测路面湿度情况,并传输给车辆处理控制模块;a road surface humidity sensor for monitoring the humidity of the road surface and transmitting it to the vehicle processing control module;
速度传感器,用于监测车辆速度,并传输给车辆处理控制模块;a speed sensor for monitoring vehicle speed and transmitting to the vehicle processing control module;
车辆处理控制模块,与车内短距离通信模块连接,用于根据周边车辆位置信息计算处理获得与周边车辆的距离;还分别与路面湿度传感器和刹车减速辅助系统连接;The vehicle processing control module is connected to the in-vehicle short-distance communication module for obtaining a distance from the surrounding vehicle according to the surrounding vehicle position information calculation processing; and is also respectively connected with the road surface humidity sensor and the brake deceleration auxiliary system;
当车辆本身与周边车辆的距离低于距离安全值时或当路面湿度情况低于路面湿度安全值时,由车辆处理控制模块触发告警器告警;The alarm is triggered by the vehicle processing control module when the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value or when the road surface humidity condition is lower than the road surface safety value;
当车辆本身与周边车辆距离低于距离安全值,且路面湿度情况低于路面湿度安全值和/或车速高于车速设定值时,所述车辆处理控制模块触发刹车减速辅助系统减速;When the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value, and the road surface humidity condition is lower than the road surface safety value and/or the vehicle speed is higher than the vehicle speed setting value, the vehicle processing control module triggers the brake deceleration assistance system to decelerate;
交通信息处理控制平台,与车辆处理控制模块连接,用于在监控路段接收监控车辆位置信息和车速信息,并对其进行分析处理,判断是否发送监控路段拥堵告警信号。The traffic information processing control platform is connected with the vehicle processing control module, and is configured to receive and monitor the vehicle position information and the vehicle speed information on the monitoring road section, and analyze and process the same, and determine whether to send the monitoring road section congestion warning signal.
进一步地,所述分析处理包括:Further, the analysis process includes:
根据所监控的车辆的车速和位置情况,判断监控路段是否存在拥堵情况,若存在所监控路段的一定数量的车辆的平均车速低于所监控路段设定的车速范围,且它们之间的车距等于或者低于设定的距离范
围,则判定所监控路段出现拥堵情况,且发送告警信号至车辆的车辆处理控制模块。According to the monitored vehicle speed and position, it is determined whether there is congestion in the monitored road section. If there is a certain number of vehicles in the monitored road section, the average vehicle speed is lower than the speed range set by the monitored road section, and the distance between them is Equal to or lower than the set distance
Enclosed, it determines that the monitored road section is congested, and sends an alarm signal to the vehicle processing control module of the vehicle.
在交通信息处理控制平台中,若存在速度超过监控路段限速上限10%的,则这部分速度数据会设定为跟踪信息,并发送告警信息至车辆处理控制模块,若一定时间内所述跟踪信息超速依旧保持在监控路段限速上限10%则发送至交警部门告警记录。In the traffic information processing control platform, if the speed exceeds 10% of the upper limit of the monitoring section speed limit, the part of the speed data is set as tracking information, and the alarm information is sent to the vehicle processing control module, if the tracking is performed within a certain time The information overspeed is still kept at the upper limit of the speed limit of the monitoring section and sent to the traffic police department alarm record.
进一步地,本发明还包括设置在监控路段上视频传感器,所述视频传感器与交通信息处理控制平台连接;且在交通服务控制平台中设有安全带检测模块,用于识别从视频传感器获取的视频数据中驾驶员是否有没佩戴安全带,对车窗中人体上半身区域进行检测,利用混合多尺度可变形部件模型的模式识别方法进行安全带检测。Further, the present invention further includes a video sensor disposed on the monitoring section, the video sensor being connected to the traffic information processing control platform; and a seat belt detection module disposed in the traffic service control platform for identifying the video acquired from the video sensor In the data, the driver does not wear a seat belt, detects the upper body area of the human body in the window, and uses the pattern recognition method of the mixed multi-scale deformable part model to perform the seat belt detection.
进一步地,本发明通过安全带检测模块检测到驾驶员如果没有佩戴安全带则会发送告警信息到对应车辆的车辆处理控制模块,并由车辆处理控制模块触发告警器进行告警提醒,同时系统进行告警记录;若存在连续两次监控路段的视频传感器拍摄到车辆驾驶员没有佩戴安全带,则车辆处理控制模块接收到两次未佩戴安全带的告警信号后,同时触发刹车减速系统减速。Further, the present invention detects that the driver sends the alarm information to the vehicle processing control module of the corresponding vehicle if the driver does not wear the seat belt, and the alarm is triggered by the vehicle processing control module, and the system performs the alarm. Recording; if there is a video sensor of two consecutive monitoring sections, the vehicle driver does not wear the seat belt, and the vehicle processing control module receives the warning signal of the seat belt twice, and simultaneously triggers the brake deceleration system to decelerate.
进一步地,本发明还包括道路灯控单元,用于控制路口红绿灯时间;所述道路灯控单元与交通信息处理控制平台连接,接收交通信息处理控制平台发送的红绿灯调控信号,当监控路段出现拥堵情况,红灯持续时间比路况正常时间缩短,而且道路灯控单元红绿灯持续时间交通信息处理控制平台会发送给车辆的车辆处理控制模块,方便车主
提前了解做好驾驶准备。Further, the present invention further includes a road light control unit for controlling the traffic light time of the intersection; the road light control unit is connected with the traffic information processing control platform, and receives the traffic light control signal sent by the traffic information processing control platform, and when the monitoring road section is congested In case, the duration of the red light is shorter than the normal time of the road, and the traffic light control unit of the traffic light control unit of the road light control unit is sent to the vehicle processing control module of the vehicle to facilitate the owner.
Know ahead of time to prepare for driving.
本发明中,车辆中还包括与交通信息处理控制平台连接的智能控灯系统,所述智能控灯系统根据车与车的距离控制调整车的远光灯的启闭。In the present invention, the vehicle further includes an intelligent control light system connected to the traffic information processing control platform, and the intelligent light control system controls the opening and closing of the high beam of the vehicle according to the distance between the vehicle and the vehicle.
由于现实车辆在夜晚道路行驶过程中经常都开启远光灯行驶,这样容易对前面和对面的汽车行驶产生影响,本发明中,所述智能控灯系统根据路面情况启用,它能够在前车与后车位于一定车距范围内,通过交通信息处理控制平台获取的综合信息识别位于该车距范围内位于最前面的车辆,允许该车辆远光灯开启,而位于该车距范围内的其它车辆远光灯关闭。Since the realistic vehicle often turns on the high beam driving during the night road driving, it is easy to affect the driving of the front and the opposite car. In the present invention, the intelligent light control system is activated according to the road condition, and it can be in the front vehicle. The rear vehicle is located within a certain distance range, and the comprehensive information obtained by the traffic information processing control platform identifies the vehicle located at the forefront within the distance of the vehicle, allowing the high beam of the vehicle to be turned on, and other vehicles located within the distance of the vehicle. The high beam is off.
与现有技术相比,本发明具有的有益效果:Compared with the prior art, the present invention has the beneficial effects:
1.能够根据路况实时为车辆提供告警信息;1. It can provide alarm information to the vehicle in real time according to the road condition;
2.能够检测驾驶员的安全带佩戴情况,并进行告警提醒。2. It can detect the driver's seat belt wearing condition and make an alarm reminder.
图1:本发明的结构示意图。Figure 1: Schematic diagram of the structure of the present invention.
下面结合附图和实施例对本发明作进一步详细说明。The present invention will be further described in detail below with reference to the accompanying drawings and embodiments.
实施例1:Example 1:
如图1所示,一种车路协同智能交通控制系统,包括GPS模块、车内短距离通信模块、路面湿度传感器、速度传感器、车辆处理控制模块、刹车减速辅助系统、交通信息处理控制平台和告警器,其中:As shown in FIG. 1 , a vehicle road cooperative intelligent traffic control system includes a GPS module, an in-vehicle short-distance communication module, a road surface humidity sensor, a speed sensor, a vehicle processing control module, a brake deceleration assisting system, a traffic information processing control platform, and Alarm, where:
GPS模块,用于定位车辆的位置信息;
a GPS module for locating location information of the vehicle;
车内短距离通信模块,与GPS模块连接,用于将各自车辆的位置信息传输给周边车辆;An in-vehicle short-range communication module is connected to the GPS module for transmitting position information of the respective vehicles to the surrounding vehicles;
路面湿度传感器,用于监测路面湿度情况,并传输给车辆处理控制模块;a road surface humidity sensor for monitoring the humidity of the road surface and transmitting it to the vehicle processing control module;
速度传感器,用于监测车辆速度,并传输给车辆处理控制模块;a speed sensor for monitoring vehicle speed and transmitting to the vehicle processing control module;
车辆处理控制模块,与车内短距离通信模块连接,用于根据周边车辆位置信息计算处理获得与周边车辆的距离;还分别与路面湿度传感器和刹车减速辅助系统连接;The vehicle processing control module is connected to the in-vehicle short-distance communication module for obtaining a distance from the surrounding vehicle according to the surrounding vehicle position information calculation processing; and is also respectively connected with the road surface humidity sensor and the brake deceleration auxiliary system;
当车辆本身与周边车辆的距离低于距离安全值时或当路面湿度情况低于路面湿度安全值时,由车辆处理控制模块触发告警器告警;The alarm is triggered by the vehicle processing control module when the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value or when the road surface humidity condition is lower than the road surface safety value;
当车辆本身与周边车辆距离低于距离安全值,且路面湿度情况低于路面湿度安全值和/或车速高于车速设定值时,所述车辆处理控制模块触发刹车减速辅助系统减速;When the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value, and the road surface humidity condition is lower than the road surface safety value and/or the vehicle speed is higher than the vehicle speed setting value, the vehicle processing control module triggers the brake deceleration assistance system to decelerate;
交通信息处理控制平台,与车辆处理控制模块连接,用于在监控路段接收监控车辆位置信息和车速信息,并对其进行分析处理,判断是否发送监控路段拥堵告警信号。The traffic information processing control platform is connected with the vehicle processing control module, and is configured to receive and monitor the vehicle position information and the vehicle speed information on the monitoring road section, and analyze and process the same, and determine whether to send the monitoring road section congestion warning signal.
所述分析处理包括:The analysis process includes:
根据所监控的车辆的车速和位置情况,判断监控路段是否存在拥堵情况,若存在所监控路段的一定数量的车辆的平均车速低于所监控路段设定的车速范围,且它们之间的车距等于或者低于设定的距离范围,则判定所监控路段出现拥堵情况,且发送告警信号至车辆的车辆处理控制模块。
According to the monitored vehicle speed and position, it is determined whether there is congestion in the monitored road section. If there is a certain number of vehicles in the monitored road section, the average vehicle speed is lower than the speed range set by the monitored road section, and the distance between them is If it is equal to or lower than the set distance range, it is determined that the monitored road section has a congestion condition, and an alarm signal is sent to the vehicle processing control module of the vehicle.
在交通信息处理控制平台中,若存在速度超过监控路段限速上限10%的,则这部分速度数据会设定为跟踪信息,并发送告警信息至车辆处理控制模块,若一定时间内所述跟踪信息超速依旧保持在监控路段限速上限10%则发送至交警部门告警记录。In the traffic information processing control platform, if the speed exceeds 10% of the upper limit of the monitoring section speed limit, the part of the speed data is set as tracking information, and the alarm information is sent to the vehicle processing control module, if the tracking is performed within a certain time The information overspeed is still kept at the upper limit of the speed limit of the monitoring section and sent to the traffic police department alarm record.
实施例2Example 2
基于图2的框架,本实施例与实施例一区别在于,还包括设置在监控路段上视频传感器,所述视频传感器与交通信息处理控制平台连接;且在交通服务控制平台中设有安全带检测模块,用于识别从视频传感器获取的视频数据中驾驶员是否有没佩戴安全带,对车窗中人体上半身区域进行检测,利用混合多尺度可变形部件模型的模式识别方法进行安全带检测。Based on the framework of FIG. 2, the difference between the embodiment and the first embodiment is that the video sensor is disposed on the monitoring section, and the video sensor is connected to the traffic information processing control platform; and the seat belt detection is provided in the traffic service control platform. The module is configured to identify whether the driver has not worn the seat belt in the video data acquired from the video sensor, detect the upper body area of the human body in the window, and perform the seat belt detection by using the pattern recognition method of the mixed multi-scale deformable part model.
通过安全带检测模块检测到驾驶员如果没有佩戴安全带则会发送告警信息到对应车辆的车辆处理控制模块,并由车辆处理控制模块触发告警器进行告警提醒,同时系统进行告警记录;若存在连续两次监控路段的视频传感器拍摄到车辆驾驶员没有佩戴安全带,则车辆处理控制模块接收到两次未佩戴安全带的告警信号后,同时触发刹车减速系统减速。The seat belt detecting module detects that the driver sends the alarm information to the vehicle processing control module of the corresponding vehicle if the seat belt is not worn, and the vehicle processing control module triggers the alarm device to perform the alarm reminding, and the system performs the alarm recording; if there is continuous When the video sensor of the two monitoring sections captures that the driver of the vehicle does not wear the seat belt, the vehicle processing control module receives the warning signal of the seat belt twice, and simultaneously triggers the brake deceleration system to decelerate.
还包括道路灯控单元,用于控制路口红绿灯时间;所述道路灯控单元与交通信息处理控制平台连接,接收交通信息处理控制平台发送的红绿灯调控信号,当监控路段出现拥堵情况,红灯持续时间比路况正常时间缩短。
The utility model further comprises a road light control unit, configured to control the traffic light time of the intersection; the road light control unit is connected with the traffic information processing control platform, and receives the traffic light control signal sent by the traffic information processing control platform, and the red light continues when the monitoring road section has a congestion situation. Time is shorter than the normal time of the road.
Claims (6)
- 一种车路协同智能交通控制系统,其特征在于,包括GPS模块、车内短距离通信模块、路面湿度传感器、速度传感器、车辆处理控制模块、刹车减速辅助系统、交通信息处理控制平台和告警器,其中:A vehicle road collaborative intelligent traffic control system, comprising: a GPS module, an in-vehicle short-distance communication module, a road surface humidity sensor, a speed sensor, a vehicle processing control module, a brake deceleration assisting system, a traffic information processing control platform, and an alarm device ,among them:GPS模块,用于定位车辆的位置信息;a GPS module for locating location information of the vehicle;车内短距离通信模块,与GPS模块连接,用于将各自车辆的位置信息传输给周边车辆;An in-vehicle short-range communication module is connected to the GPS module for transmitting position information of the respective vehicles to the surrounding vehicles;路面湿度传感器,用于监测路面湿度情况,并传输给车辆处理控制模块;a road surface humidity sensor for monitoring the humidity of the road surface and transmitting it to the vehicle processing control module;速度传感器,用于监测车辆速度,并传输给车辆处理控制模块;a speed sensor for monitoring vehicle speed and transmitting to the vehicle processing control module;车辆处理控制模块,与车内短距离通信模块连接,用于根据周边车辆位置信息计算处理获得与周边车辆的距离;还分别与路面湿度传感器和刹车减速辅助系统连接;The vehicle processing control module is connected to the in-vehicle short-distance communication module for obtaining a distance from the surrounding vehicle according to the surrounding vehicle position information calculation processing; and is also respectively connected with the road surface humidity sensor and the brake deceleration auxiliary system;当车辆本身与周边车辆的距离低于距离安全值时或当路面湿度情况低于路面湿度安全值时,由车辆处理控制模块触发告警器告警;The alarm is triggered by the vehicle processing control module when the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value or when the road surface humidity condition is lower than the road surface safety value;当车辆本身与周边车辆距离低于距离安全值,且路面湿度情况低于路面湿度安全值和/或车速高于车速设定值时,所述车辆处理控制模块触发刹车减速辅助系统减速;When the distance between the vehicle itself and the surrounding vehicle is lower than the distance safety value, and the road surface humidity condition is lower than the road surface safety value and/or the vehicle speed is higher than the vehicle speed setting value, the vehicle processing control module triggers the brake deceleration assistance system to decelerate;交通信息处理控制平台,与车辆处理控制模块连接,用于在监控路段接收监控车辆位置信息和车速信息,并对其进行分析处理,判断是否发送监控路段拥堵告警信号。The traffic information processing control platform is connected with the vehicle processing control module, and is configured to receive and monitor the vehicle position information and the vehicle speed information on the monitoring road section, and analyze and process the same, and determine whether to send the monitoring road section congestion warning signal.
- 根据权利要求1所述的车路协同智能交通控制系统,其特征在于,所述分析处理包括: The vehicle road cooperative intelligent traffic control system according to claim 1, wherein the analysis processing comprises:根据所监控的车辆的车速和位置情况,判断监控路段是否存在拥堵情况,若存在所监控路段的一定数量的车辆的平均车速低于所监控路段设定的车速范围,且它们之间的车距等于或者低于设定的距离范围,则判定所监控路段出现拥堵情况,且发送告警信号至车辆的车辆处理控制模块。According to the monitored vehicle speed and position, it is determined whether there is congestion in the monitored road section. If there is a certain number of vehicles in the monitored road section, the average vehicle speed is lower than the speed range set by the monitored road section, and the distance between them is If it is equal to or lower than the set distance range, it is determined that the monitored road section has a congestion condition, and an alarm signal is sent to the vehicle processing control module of the vehicle.
- 根据权利要求2所述的车路协同智能交通控制系统,其特征在于,在交通信息处理控制平台中,若存在速度超过监控路段限速上限10%的,则这部分速度数据会设定为跟踪信息,并发送告警信息至车辆处理控制模块,若一定时间内所述跟踪信息超速依旧保持在监控路段限速上限10%则发送至交警部门告警记录。The vehicle road cooperative intelligent traffic control system according to claim 2, wherein in the traffic information processing control platform, if the speed exceeds 10% of the upper limit of the monitoring section speed limit, the part of the speed data is set to be tracked. The information is sent to the vehicle processing control module. If the tracking information overspeed remains within 10% of the upper limit of the monitoring section within a certain period of time, it is sent to the traffic police department alarm record.
- 根据权利要求1所述的车路协同智能交通控制系统,其特征在于,还包括设置在监控路段上视频传感器,所述视频传感器与交通信息处理控制平台连接;且在交通服务控制平台中设有安全带检测模块,用于识别从视频传感器获取的视频数据中驾驶员是否有没佩戴安全带,对车窗中人体上半身区域进行检测,利用混合多尺度可变形部件模型的模式识别方法进行安全带检测。The vehicle road cooperative intelligent traffic control system according to claim 1, further comprising a video sensor disposed on the monitoring road section, wherein the video sensor is connected to the traffic information processing control platform; and is provided in the traffic service control platform. The seat belt detecting module is configured to identify whether the driver has not worn the seat belt in the video data acquired from the video sensor, detect the upper body area of the human body in the window, and use the pattern recognition method of the mixed multi-scale deformable part model to perform the seat belt. Detection.
- 根据权利要求4所述的车路协同智能交通控制系统,其特征在于,通过安全带检测模块检测到驾驶员如果没有佩戴安全带则会发送告警信息到对应车辆的车辆处理控制模块,并由车辆处理控制模块触发告警器进行告警提醒,同时系统进行告警记录;若存在连续两次监控路段的视频传感器拍摄到车辆驾驶员没有佩戴安全带,则车辆处理控制模块接收到两次未佩戴安全带的告警信号后,同时触发刹车减速 系统减速。The vehicle road cooperative intelligent traffic control system according to claim 4, wherein the seat belt detecting module detects that the driver sends the warning information to the vehicle processing control module of the corresponding vehicle if the seat belt is not worn, and the vehicle is controlled by the vehicle. The processing control module triggers the alarm device to perform alarm reminding, and the system performs alarm recording; if there is a video sensor of two consecutive monitoring sections that the vehicle driver does not wear the seat belt, the vehicle processing control module receives the seat belt twice. After the alarm signal, the brake deceleration is triggered at the same time. The system slows down.
- 根据权利要求2所述的车路协同智能交通控制系统,其特征在于,还包括道路灯控单元,用于控制路口红绿灯时间;所述道路灯控单元与交通信息处理控制平台连接,接收交通信息处理控制平台发送的红绿灯调控信号,当监控路段出现拥堵情况,红灯持续时间比路况正常时间缩短。 The vehicle road cooperative intelligent traffic control system according to claim 2, further comprising a road light control unit configured to control the traffic light time of the intersection; the road light control unit is connected to the traffic information processing control platform to receive the traffic information The traffic light control signal sent by the control platform is processed. When the monitoring section is congested, the red light duration is shorter than the normal time of the road condition.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN111311091A (en) * | 2020-02-13 | 2020-06-19 | 中国人民解放军国防科技大学 | Expressway task detection and scheduling method and system based on vehicle-mounted cloud and unmanned aerial vehicle |
CN111415119A (en) * | 2020-03-25 | 2020-07-14 | 杭州公路工程监理咨询有限公司 | Intelligent outsourcing method and system for whole-process tracking test |
CN112565374A (en) * | 2020-11-27 | 2021-03-26 | 安徽工业大学 | Car networking semaphore based on V2X technique |
CN112903311A (en) * | 2021-01-28 | 2021-06-04 | 特路(北京)科技有限公司 | Night illumination environment test field and test method suitable for automatic driving vehicle |
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CN114078227A (en) * | 2022-01-17 | 2022-02-22 | 深圳市图元科技有限公司 | Intelligent AI recognition alarm system and method |
CN115376320A (en) * | 2022-08-23 | 2022-11-22 | 公安部交通管理科学研究所 | Accurate warning method for intersection without lamp control |
CN117593891A (en) * | 2024-01-19 | 2024-02-23 | 长安大学 | Traffic flow analysis system and method based on highway traffic big data |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107591024B (en) * | 2017-08-26 | 2020-11-24 | 圣码智能科技(深圳)有限公司 | Vehicle anti-collision method |
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CN110264726B (en) * | 2019-08-06 | 2022-04-08 | 中国联合网络通信集团有限公司 | Traffic control method and traffic control system |
CN113284351A (en) * | 2021-03-04 | 2021-08-20 | 中创未来智能技术(南京)研究院有限公司 | Same-high-speed highway traffic control system based on vehicle-road cooperation technology |
CN115565384A (en) * | 2021-04-06 | 2023-01-03 | 彭小林 | Non-motor vehicle traffic rule compliance system based on intelligent traffic |
Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101833863A (en) * | 2010-05-17 | 2010-09-15 | 瑞斯康达科技发展股份有限公司 | Method and device for detecting vehicle flow speed, as well as method and system for controlling traffic lights |
CN102184641A (en) * | 2011-05-09 | 2011-09-14 | 浙江大学 | Running information based road condition management method and system |
CN102915640A (en) * | 2012-10-30 | 2013-02-06 | 武汉烽火众智数字技术有限责任公司 | Safety belt detecting method based on Hough transform |
CN103065465A (en) * | 2012-12-26 | 2013-04-24 | 招商局重庆交通科研设计院有限公司 | Traffic management system based on internet of things or dynamic three dimensional (3D) geographic information system (GIS) and method thereof |
CN103077611A (en) * | 2013-01-06 | 2013-05-01 | 山东鼎讯智能交通科技有限公司 | Road vehicle recording system with face identification and safety belt detection functions |
CN103117007A (en) * | 2013-01-25 | 2013-05-22 | 安徽大学 | Vehicle positioning and anti-collision early warning system based on ZigBee and GPS |
CN103150907A (en) * | 2013-02-06 | 2013-06-12 | 郭忠印 | Highway operation safety-based mobile monitoring and early warning system and method |
CN202996021U (en) * | 2013-01-06 | 2013-06-12 | 山东鼎讯智能交通科技有限公司 | Road vehicle recording system capable of face identification and safety belt detection |
CN203102592U (en) * | 2013-02-06 | 2013-07-31 | 郭忠印 | Mobile monitoring and early warning system based on expressway operation safety |
CN203165208U (en) * | 2012-12-26 | 2013-08-28 | 招商局重庆交通科研设计院有限公司 | Traffic management system based on Internet of things and dynamic 3D GIS |
CN104573680A (en) * | 2015-02-10 | 2015-04-29 | 深圳市哈工大交通电子技术有限公司 | Image detection method, image detection device and traffic violation detection system |
CN104882017A (en) * | 2015-05-05 | 2015-09-02 | 惠州Tcl移动通信有限公司 | Safe driving method and system based on mobile terminal |
CN105373783A (en) * | 2015-11-17 | 2016-03-02 | 高新兴科技集团股份有限公司 | Seat belt not-wearing detection method based on mixed multi-scale deformable component model |
US20160275796A1 (en) * | 2015-03-19 | 2016-09-22 | Hyundai Motor Company | Vehicle, server and vehicle monitoring system having the same |
CN106408968A (en) * | 2016-09-30 | 2017-02-15 | 广东交通职业技术学院 | Traffic alarm control system and method based on Internet of vehicles |
CN106448262A (en) * | 2016-09-30 | 2017-02-22 | 广州大正新材料科技有限公司 | Intelligent traffic alarm control method |
CN106530782A (en) * | 2016-09-30 | 2017-03-22 | 广州大正新材料科技有限公司 | Road vehicle traffic warning system and method thereof |
Family Cites Families (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2077815U (en) * | 1990-07-24 | 1991-05-29 | 杨建林 | Automatic illumination controller for vehicle |
JP3911979B2 (en) * | 2000-08-29 | 2007-05-09 | トヨタ自動車株式会社 | Alarm device and travel control device provided with the alarm device |
WO2008083754A1 (en) * | 2007-01-10 | 2008-07-17 | Tomtom International B.V. | A navigation device and method for enhanced map display |
US9129460B2 (en) * | 2007-06-25 | 2015-09-08 | Inthinc Technology Solutions, Inc. | System and method for monitoring and improving driver behavior |
CN202429116U (en) * | 2012-01-10 | 2012-09-12 | 周博 | Forced switching system of automobile high beam intensity |
CN102616235B (en) * | 2012-04-09 | 2016-01-20 | 北京航空航天大学 | A kind of collaborative collision avoidance device based on truck traffic and collision avoidance method |
CN102737511B (en) * | 2012-07-04 | 2014-07-02 | 武汉大学 | Intelligent road side system |
CN103164962B (en) * | 2013-01-23 | 2014-11-26 | 山东交通学院 | Mountain road sharp turn section real-time vehicle speed early warning method |
CN203047041U (en) * | 2013-01-23 | 2013-07-10 | 程辉庭 | Automobile intelligent light-diverting device |
CN103295406A (en) * | 2013-06-24 | 2013-09-11 | 广州万客达电子科技有限公司 | Intelligent transportation anti-congestion system and device |
CN104139728A (en) * | 2013-07-31 | 2014-11-12 | 浙江信立实业有限公司 | Automatic control system for high and low beams of automobile |
CN103606270A (en) * | 2013-11-27 | 2014-02-26 | 重庆邮电大学 | Vehicle-road cooperative communication method and system |
CN203616882U (en) * | 2013-12-24 | 2014-05-28 | 安徽皖通科技股份有限公司 | Vehicle networking roadside information acquisition and service system |
CN103810904B (en) * | 2014-03-12 | 2015-10-07 | 哈尔滨工业大学 | Based on the method for early warning of the express way driving safety early warning system of VANET |
CN104986097A (en) * | 2015-06-12 | 2015-10-21 | 奇瑞汽车股份有限公司 | Lamplight adjusting method and system |
CN105118316B (en) * | 2015-09-25 | 2017-09-29 | 武汉理工大学 | The curved road safety speed computational methods and caution system cooperateed with based on bus or train route |
CN105118320B (en) * | 2015-09-29 | 2017-05-31 | 北方工业大学 | Urban road section traffic guidance method and device based on vehicle-road cooperation |
CN105279996A (en) * | 2015-12-01 | 2016-01-27 | 中国联合网络通信集团有限公司 | Traffic control system based on vehicle-road cooperation |
CN105897877A (en) * | 2016-04-01 | 2016-08-24 | 成都景博信息技术有限公司 | Remote Internet-of-vehicles monitoring method |
CN105938660B (en) * | 2016-06-07 | 2018-10-12 | 长安大学 | A kind of automobile anti-rear end collision method for early warning and system |
-
2016
- 2016-09-30 CN CN201610867608.3A patent/CN106652558B/en active Active
-
2017
- 2017-05-09 WO PCT/CN2017/083538 patent/WO2018058957A1/en active Application Filing
Patent Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101833863A (en) * | 2010-05-17 | 2010-09-15 | 瑞斯康达科技发展股份有限公司 | Method and device for detecting vehicle flow speed, as well as method and system for controlling traffic lights |
CN102184641A (en) * | 2011-05-09 | 2011-09-14 | 浙江大学 | Running information based road condition management method and system |
CN102915640A (en) * | 2012-10-30 | 2013-02-06 | 武汉烽火众智数字技术有限责任公司 | Safety belt detecting method based on Hough transform |
CN103065465A (en) * | 2012-12-26 | 2013-04-24 | 招商局重庆交通科研设计院有限公司 | Traffic management system based on internet of things or dynamic three dimensional (3D) geographic information system (GIS) and method thereof |
CN203165208U (en) * | 2012-12-26 | 2013-08-28 | 招商局重庆交通科研设计院有限公司 | Traffic management system based on Internet of things and dynamic 3D GIS |
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