CN103473929A - Method, device and system for monitoring vehicle violation - Google Patents
- ️Wed Dec 25 2013
CN103473929A - Method, device and system for monitoring vehicle violation - Google Patents
Method, device and system for monitoring vehicle violation Download PDFInfo
-
Publication number
- CN103473929A CN103473929A CN201310446392XA CN201310446392A CN103473929A CN 103473929 A CN103473929 A CN 103473929A CN 201310446392X A CN201310446392X A CN 201310446392XA CN 201310446392 A CN201310446392 A CN 201310446392A CN 103473929 A CN103473929 A CN 103473929A Authority
- CN
- China Prior art keywords
- vehicle
- lane
- level
- violation
- information Prior art date
- 2013-09-26 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Traffic Control Systems (AREA)
Abstract
本发明实施例公开了一种车辆违规监控方法、装置及系统,其中方法包括接收车载设备上报的车辆信息,所述车辆信息包括车辆地理坐标和对应的时间信息;根据所述接收的车辆信息分析车辆的车道级别的行车轨迹;根据分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况,本发明实施例,可以实现车道级别的违规检测,十分适合于城市交通道路上的车道级别违规检测,并且可以降低路面监控设备的建设,为虑拟化的车辆违规监控提供了可行方案。
The embodiment of the present invention discloses a vehicle violation monitoring method, device and system, wherein the method includes receiving the vehicle information reported by the vehicle equipment, the vehicle information including the geographical coordinates of the vehicle and the corresponding time information; analyzing the received vehicle information The lane-level driving track of the vehicle; according to the analyzed lane-level driving track and the preset lane-level road information and lane-level violation standard information, the vehicle’s violation situation at the lane level is detected. The embodiment of the present invention can realize lane Level violation detection is very suitable for lane-level violation detection on urban traffic roads, and can reduce the construction of road monitoring equipment, providing a feasible solution for simulated vehicle violation monitoring.
Description
技术领域technical field
本发明涉及智能交通技术,尤其涉及一种车辆违规监控方法、装置及系统。The invention relates to intelligent transportation technology, in particular to a method, device and system for monitoring vehicle violations.
背景技术Background technique
研究表明,车辆违规驾驶是导致交通事故频发的主要原因之一,因此有必要对其进行监控。一般可以采用在路面内设置地磁线圈或者在路旁设置测速雷达等方式来监控车辆是否有超速等行为,或者可以在信号灯处设置摄像头监控车辆是否按指示路线行驶等行为,但是这些设备仅能针对部分路段实现选点监控,而难以大范围的推广应用,并且成本高,维护困难,此外,针对高速公路这一特殊情形,也可以在高速公路入口向车辆发放车载终端,然后通过覆盖高速公路全程的中继站构成的无线网络将车载终端获得的时间、位置和身份标识发送至监控中心,由监控中心根据接收的信息监测车辆是否存在超速的行为,但是该种方案很难适用于普通的城市道路的违规检测,并且针对车辆是否占用专用车道,是否违返导向车道行驶,是否违规变道等涉及车道级别的违规检测更是无能为力。Studies have shown that illegal driving is one of the main reasons for frequent traffic accidents, so it is necessary to monitor it. Generally, geomagnetic coils on the road surface or speed radars on the roadside can be used to monitor whether the vehicle is speeding, or cameras can be installed at the signal lights to monitor whether the vehicle is driving according to the indicated route, but these devices can only be used for Part of the road section realizes point-selection monitoring, but it is difficult to promote and apply on a large scale, and it is costly and difficult to maintain. In addition, for the special situation of expressways, vehicle-mounted terminals can also be issued to vehicles at the entrance of the expressway, and then cover the entire expressway The wireless network composed of relay stations sends the time, location and identity obtained by the vehicle terminal to the monitoring center, and the monitoring center monitors whether the vehicle is speeding according to the received information, but this scheme is difficult to apply to ordinary urban roads. Violation detection, and detection of violations involving lane levels such as whether the vehicle occupies a dedicated lane, whether it violates the guidance lane, whether it changes lanes illegally, etc. is powerless.
发明内容Contents of the invention
有鉴于此,本发明提供了一种车辆违规监控方法、装置及系统,可以实现车道级别的违规检测,十分适合于城市交通道路上的车道级别违规检测,并且可以降低路面监控设备的建设,为虑拟化的车辆违规监控提供了可行方案。In view of this, the present invention provides a vehicle violation monitoring method, device and system, which can realize lane-level violation detection, is very suitable for lane-level violation detection on urban traffic roads, and can reduce the construction of road surface monitoring equipment. Considered vehicle violation monitoring provides a feasible solution.
本发明提供了一种车辆违规监控方法,包括:The invention provides a vehicle violation monitoring method, comprising:
接收车载设备上报的车辆信息,所述车辆信息包括车辆地理坐标和对应的时间信息;receiving vehicle information reported by the on-board equipment, the vehicle information including vehicle geographic coordinates and corresponding time information;
根据所述接收的车辆信息分析车辆的行车轨迹,所述行车轨迹精确到车道级别;Analyzing the vehicle's driving trajectory according to the received vehicle information, the driving trajectory is accurate to the lane level;
根据分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。According to the analyzed lane-level driving trajectory, preset lane-level road information, and lane-level violation standard information, detect vehicle violations at the lane level.
进一步,所述车道级别道路信息包括路网中每条车道的地理位置信息、道路标志的地理位置信息、道路标线的地理位置信息,所述车道级别违规标准信息是将违规检测的基本参数关联到所述车道级别道路信息中的相关车道上而形成。Further, the lane-level road information includes the geographic location information of each lane in the road network, the geographic location information of road signs, and the geographic location information of road markings. The lane-level violation standard information is to associate the basic parameters of violation detection with It is formed on the relevant lane in the lane-level road information.
进一步,所述方法采用云服务器实现,所述方法还包括:当检测到车辆在车道级别上存在违规时,记录车辆的违规情况,并将违规情况下发至所述车载设备以提醒驾驶者。Further, the method is realized by using a cloud server, and the method further includes: when a violation of the vehicle is detected at the lane level, recording the violation of the vehicle, and sending the violation to the on-board device to remind the driver.
本发明提供了一种车辆违规监控装置,包括:The invention provides a vehicle violation monitoring device, comprising:
接收模块,用于接收车载设备上报的车辆信息,所述车辆信息包括车辆地理坐标和对应的时间信息;A receiving module, configured to receive vehicle information reported by the vehicle-mounted device, the vehicle information including vehicle geographic coordinates and corresponding time information;
分析模块,用于根据所述接收模块接收的车辆信息分析车辆的行车轨迹,所述行车轨迹精确到车道级别;An analysis module, configured to analyze the driving trajectory of the vehicle according to the vehicle information received by the receiving module, and the driving trajectory is accurate to the lane level;
检测模块,用于根据分析模块分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。The detection module is used to detect violations of vehicles at the lane level according to the lane-level driving trajectory obtained by the analysis module, the preset lane-level road information, and the lane-level violation standard information.
进一步,所述车道级别道路信息包括路网中每条车道的地理位置信息、道路标志的地理位置信息、道路标线的地理位置信息,所述车道级别违规标准信息是将违规检测的基本参数关联到所述车道级别道路信息中的相关车道上而形成。Further, the lane-level road information includes the geographic location information of each lane in the road network, the geographic location information of road signs, and the geographic location information of road markings. The lane-level violation standard information is to associate the basic parameters of violation detection with It is formed on the relevant lane in the lane-level road information.
进一步,所述车辆违规监控装置采用云服务器实现,所述车辆违规监控装置还包括:违规处理模块,用于当检测模块检测到车辆在车道级别上存在违规时,记录车辆的违规情况,并将违规情况下发至所述车载设备以提醒驾驶者。Further, the vehicle violation monitoring device is implemented using a cloud server, and the vehicle violation monitoring device also includes: a violation processing module, used to record the violation of the vehicle when the detection module detects that the vehicle has violations at the lane level, and send In the event of a violation, it is sent to the on-board device to remind the driver.
本发明提供了一种车辆违规监控系统,包括:车载设备和云服务器;The invention provides a vehicle violation monitoring system, comprising: vehicle-mounted equipment and a cloud server;
所述车载设备,用于确定车辆信息,所述车辆信息包括车辆地理坐标和对应的时间信息,并将确定的车辆信息上报至所述云服务器;The on-vehicle device is used to determine vehicle information, the vehicle information includes vehicle geographic coordinates and corresponding time information, and reports the determined vehicle information to the cloud server;
所述云服务器,用于根据所述车载设备上报的车辆信息分析车辆的行车轨迹,所述行车轨迹精确到车道级别,The cloud server is configured to analyze the driving trajectory of the vehicle according to the vehicle information reported by the vehicle equipment, the driving trajectory is accurate to the lane level,
以及,用于根据分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。And, it is used to detect vehicle violations at the lane level based on the analyzed lane-level driving trajectory, preset lane-level road information, and lane-level violation standard information.
进一步,所述车道级别道路信息包括路网中每条车道的地理位置信息、道路标志的地理位置信息、道路标线的地理位置信息,所述车道级别违规标准信息是将违规检测的基本参数关联到所述车道级别道路信息中的相关车道上而形成。Further, the lane-level road information includes the geographic location information of each lane in the road network, the geographic location information of road signs, and the geographic location information of road markings. The lane-level violation standard information is to associate the basic parameters of violation detection with It is formed on the relevant lane in the lane-level road information.
进一步,全球定位接收模块、处理器、无线通讯模块、电子标签、存储器和输出模块,所述处理器分别与全球定位接收模块、无线通讯模块、电子标签和存储器连接。Further, a global positioning receiving module, a processor, a wireless communication module, an electronic label, a memory and an output module, the processor is respectively connected with the global positioning receiving module, the wireless communication module, the electronic label and the memory.
进一步,所述云服务器,还用于当检测到车辆在道级别上存在违规时,记录车辆的违规情况,并将违规情况下发至所述车载设备以提醒驾驶者。Further, the cloud server is also used to record the violation of the vehicle when it is detected that the vehicle violates the rules at the road level, and send the violation to the on-board device to remind the driver.
本发明的有益效果:Beneficial effects of the present invention:
本发明实施例,在对车辆的行车轨迹进行定位时,将行车轨迹的精度精确到车道级别,因此为车道级别的违规检测的实现提供了基础,然后根据车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况,从而实现了车道级别的违规检测,弥补了现有技术的不足,并且该方式对应用环境没有严格的限制,只要预置的车道级别道路信息够详细,则有无线信号的地方均能实现,因此十分适合于复杂的城市交通道路上的车道级别违规检测,并且采用本发明实施例,可以减小诸如线圈、雷达、摄像头等路面监控设备的建设,从而免去这些设备的日常维护,为虑拟化的车辆违规监控提供了可行方案。In the embodiment of the present invention, when locating the vehicle's driving trajectory, the accuracy of the driving trajectory is accurate to the lane level, thus providing a basis for the realization of lane-level violation detection, and then according to the lane-level driving trajectory and the preset lane Level road information and lane-level violation standard information to detect vehicle violations at the lane level, thereby realizing lane-level violation detection and making up for the shortcomings of existing technologies, and this method has no strict restrictions on the application environment. If the set lane level road information is detailed enough, it can be realized in places with wireless signals, so it is very suitable for the detection of lane level violations on complex urban traffic roads. The construction of road monitoring equipment such as cameras can avoid the daily maintenance of these equipment, and provide a feasible solution for the simulated monitoring of vehicle violations.
附图说明Description of drawings
下面结合附图和实施例对本发明作进一步描述:The present invention will be further described below in conjunction with accompanying drawing and embodiment:
图1是本发明提供的车辆违规监控方法的实施例的流程示意图。Fig. 1 is a schematic flowchart of an embodiment of a vehicle violation monitoring method provided by the present invention.
图2是为了说明车道级违规的行车轨迹示意图。FIG. 2 is a schematic diagram of a driving trajectory for illustrating lane-level violations.
图3是本发明提供的车辆违规监控装置的实施例的结构示意图。Fig. 3 is a structural schematic diagram of an embodiment of a vehicle violation monitoring device provided by the present invention.
图4是本发明提供的车辆违规监控系统的实施例的结构示意图。Fig. 4 is a schematic structural diagram of an embodiment of a vehicle violation monitoring system provided by the present invention.
具体实施方式Detailed ways
请参考图1,是本发明提供的车辆违规监控方法的实施例的流程示意图。Please refer to FIG. 1 , which is a schematic flowchart of an embodiment of a vehicle violation monitoring method provided by the present invention.
图1实施例的执行主体可以为云服务器,当然也可以为其它类型的专用服务器,采用云服务器实现,可以实现强大的数据存储、计算能力,提高数据的处理效率,方便用户随时随地接入互联网查询相关的违规记录等信息,另外采用云服务器的驾构,可以极大的降低运营成本,有利于本方案的推广应用。The executor of the embodiment in Figure 1 can be a cloud server, and of course it can also be other types of dedicated servers. Cloud servers can be used to realize powerful data storage and computing capabilities, improve data processing efficiency, and facilitate users to access the Internet anytime, anywhere Inquiring about relevant violation records and other information, and using the cloud server driving structure can greatly reduce operating costs, which is conducive to the promotion and application of this solution.
图1实施例主要包括以下步骤:The embodiment of Fig. 1 mainly comprises the following steps:
步骤S11,接收车载设备上报的车辆信息。Step S11, receiving the vehicle information reported by the vehicle equipment.
其中,车辆信息包括车辆地理坐标和对应的时间信息,为了实现车道级别的违规检测,此处的地理坐标的精度要求能够实现车道级别的识别,例如:地理坐标的精度可以达到厘米级别,这可以采用高精度的定位系统达到。Among them, the vehicle information includes the geographical coordinates of the vehicle and the corresponding time information. In order to realize the violation detection at the lane level, the accuracy of the geographical coordinates here requires the recognition of the lane level. For example, the accuracy of the geographical coordinates can reach the centimeter level, which can be Adopt high-precision positioning system to achieve.
步骤S12,根据步骤S11接收的车辆信息分析车辆的行车轨迹,其中行车轨迹精确到车道级别。Step S12, analyze the driving trajectory of the vehicle according to the vehicle information received in step S11, wherein the driving trajectory is accurate to the lane level.
其中,步骤S12接收到地理坐标和对应的时间后,根据地理坐标对应的时间信息的先后顺序在地理信息系统中规划地理坐标,得到车辆的行车轨迹。由于在步骤S11中得到的地理坐标的精度可以达到厘米级别,因此据此形成的行车轨迹可以实现车道级别的定位。Wherein, after receiving the geographic coordinates and the corresponding time in step S12, the geographic coordinates are planned in the geographic information system according to the sequence of the time information corresponding to the geographic coordinates to obtain the driving track of the vehicle. Since the accuracy of the geographical coordinates obtained in step S11 can reach the centimeter level, the driving trajectory formed based thereon can achieve lane-level positioning.
步骤S13,根据分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。Step S13 , according to the analyzed lane-level driving trajectory, preset lane-level road information, and lane-level violation standard information, detect vehicle violations at the lane level.
本实施例主要实现的是车道级别的违规检测,例如:违规变道、违规占用专用车道(公交专用车道、应急车道等)和不按导向车道行驶、超过车道限速、逆向行驶等涉及车道级别的违规情况,这主要由步骤S13实现。This embodiment mainly realizes lane-level violation detection, such as: illegally changing lanes, illegally occupying special lanes (bus lanes, emergency lanes, etc.) violations, this is mainly realized by step S13.
在步骤S13中,车道级别道路信息和车道级别违规标准信息均是预先设置好的,它们可以分别以车道级别道路信息数据库和车道级别违规标准信息数据库的方式实现。In step S13, both the lane-level road information and the lane-level violation standard information are preset, and they can be implemented in the form of a lane-level road information database and a lane-level violation standard information database respectively.
其中,车道级别道路信息主要定了路网是什么样的,路网上有哪些标志、标线等,其包括路网中每条车道的地理位置信息、道路标志的地理位置信息和道路标线的地理位置信息,这些地理位置信息通常是固定的,可以通过实际采集得到,其中道路标志包括警告标志、禁令标志、指路标志、指示标志、其他标志,道路标线包括指示标线、禁止标线、警告标线、其他标线,这些信息可以构建出整个真实的路网。Among them, the lane-level road information mainly determines what the road network is like, what signs and markings are on the road network, etc., which includes the geographical location information of each lane in the road network, the geographical location information of road signs and the location information of road markings. Geographic location information, which is usually fixed and can be obtained through actual collection, where road signs include warning signs, prohibition signs, guide signs, indicator signs, and other signs, and road markings include indicator lines and prohibition lines , warning markings, and other markings, these information can build the entire real road network.
其中,车道级别违规标准信息主要定义了在路网上什么样的行为是车道违规行为,其可以是在车道数据库中设置违章违规的具体触发条件,一旦车辆行驶轨迹触发了该条件,即可判定为违章违规,其中违规检测的条件可以是超速、违反规定使用专用车道、违反标志标线指示等。Among them, the lane-level violation standard information mainly defines what kind of behavior on the road network is a lane violation, which can be set in the lane database to set specific trigger conditions for violations. Once the vehicle trajectory triggers this condition, it can be judged as Violation of rules and regulations, where the conditions for violation detection can be speeding, using special lanes in violation of regulations, and violation of signs and markings.
具体的,步骤S13可以将步骤S12得到的行车轨迹在车道级别道路信息定义的路网中还原,然后采用与车道级别道路信息关联的车道级别违规标准信息判断该行车轨迹是否违规,例如:如图2所示,车道级别违规标准信息定义了在图示中的右车道上只能向前行驶,不能调头到左车道,然而采用步骤S11-步骤S12的方式确定某车的行车轨迹如图所示时,则说明该车在车道级别上违规行驶了。Specifically, step S13 can restore the driving trajectory obtained in step S12 in the road network defined by the lane-level road information, and then use the lane-level violation standard information associated with the lane-level road information to determine whether the driving trajectory is illegal, for example: As shown in 2, the lane-level violation standard information defines that the right lane in the illustration can only drive forward, and cannot turn around to the left lane. However, the driving track of a certain car is determined by steps S11-S12 as shown in the figure , it means that the vehicle is driving illegally at the lane level.
本实施例,当步骤S13检测到车辆在车道级别上存在违规时,可以记录车辆的违规情况,并将违规情况下发至车载设备以提醒驾驶者,使驾驶者能够急时的纠正错误驾驶行为,避免出现交通事故。In this embodiment, when step S13 detects that the vehicle has violations at the lane level, the violations of the vehicle can be recorded, and the violations can be sent to the on-board equipment to remind the driver, so that the driver can quickly correct the wrong driving behavior , to avoid traffic accidents.
本实施例,步骤S11中的车辆信息除了包括车辆地理坐标和对应的时间信息外,还可以包括车辆的身份信息,以便步骤S13检测到车道级别违规时,可以确定违规责任人,并进一步从车辆的身份信息关联的金融账户中扣除相应的违规金额,并通过车载设备告知驾驶者。In this embodiment, the vehicle information in step S11 may include vehicle identity information in addition to vehicle geographic coordinates and corresponding time information, so that when a lane level violation is detected in step S13, the person responsible for the violation can be determined, and further from the vehicle The corresponding amount of violations will be deducted from the financial account associated with the identity information of the driver, and the driver will be notified through the vehicle equipment.
本实施例,在根据车辆信息分析车辆行车轨迹时,将行车轨迹精确到车道级别,为车道级别的违规检测的实现提供了基础,然后根据车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况,从而实现了车道级别的违规检测,弥补了现有技术的不足,并且该方式对应用环境没有严格的限制,只要预置的车道级别道路信息够详细,则有无线信号的地方均能实现,因此十分适合于复杂的城市交通道路上的车道级别违规检测,并且采用本发明实施例,可以减小诸如线圈、雷达、摄像设备等路面监控设备的建设,从而免去这些设备日常维护,为虑拟化的车辆违规监控提供了可行方案。In this embodiment, when analyzing the vehicle trajectory according to the vehicle information, the vehicle trajectory is accurate to the lane level, which provides a basis for the realization of lane-level violation detection, and then according to the lane-level vehicle trajectory and the preset lane-level road information, Lane-level violation standard information detects vehicle violations at the lane level, thereby realizing lane-level violation detection and making up for the shortcomings of existing technologies, and this method has no strict restrictions on the application environment, as long as the preset lane level If the road information is detailed enough, it can be realized wherever there is a wireless signal, so it is very suitable for lane level violation detection on complex urban traffic roads, and the embodiment of the present invention can reduce the number of roads such as coils, radars, and camera equipment. The construction of monitoring equipment, so as to avoid the daily maintenance of these equipment, provides a feasible solution for the monitoring of vehicle violations.
请参考图3,是本发明提供的车辆违规监控装置的实施例的结构示意图。Please refer to FIG. 3 , which is a schematic structural diagram of an embodiment of a vehicle violation monitoring device provided by the present invention.
图3所示的车辆违规监控装置可以为云服务器,当然也可以为其它类型的专用服务器,采用云服务器可以实现强大的数据存储、计算能力,提高数据的处理效率,方便用户随时随地接入互联网查询相关的违规记录等信息,另外采用云服务器的驾构,可以极大的降低运营成本,有利于本方案的推广应用。The vehicle violation monitoring device shown in Figure 3 can be a cloud server, and of course it can also be other types of dedicated servers. Using a cloud server can achieve powerful data storage and computing capabilities, improve data processing efficiency, and facilitate users to access the Internet anytime, anywhere Inquiring about relevant violation records and other information, and using the cloud server driving structure can greatly reduce operating costs, which is conducive to the promotion and application of this solution.
具体的,图3示出的车辆违规监控装置包括:Specifically, the vehicle violation monitoring device shown in Figure 3 includes:
接收模块1,用于接收车载设备上报的车辆信息。The receiving module 1 is used for receiving the vehicle information reported by the vehicle equipment.
其中,车辆信息包括车辆地理坐标和对应的时间信息,为了实现车道级别的违规检测,此处的地理坐标的精度要求能够实现车道级别的识别,例如:地理坐标的精度可以达到厘米级别。Among them, the vehicle information includes the geographic coordinates of the vehicle and the corresponding time information. In order to realize lane-level violation detection, the accuracy of the geographic coordinates here requires lane-level recognition. For example, the accuracy of the geographic coordinates can reach the centimeter level.
分析模块2,根据接收模块1接收的车辆信息分析车辆的行车轨迹,其中行车轨迹精确到车道级别。The analyzing module 2 analyzes the driving trajectory of the vehicle according to the vehicle information received by the receiving module 1, wherein the driving trajectory is accurate to the lane level.
其中,分析模块2接收到地理坐标和对应的时间后,根据地理坐标对应的时间信息的先后顺序在地理信息系统中规划地理坐标,得到车辆的行车轨迹。由于在接收模块1中得到的地理坐标的精度可以达到厘米级别,因此据此形成的行车轨迹可以实现车道级别的定位。Wherein, after receiving the geographic coordinates and the corresponding time, the analysis module 2 plans the geographic coordinates in the geographic information system according to the sequence of the time information corresponding to the geographic coordinates, and obtains the driving track of the vehicle. Since the accuracy of the geographic coordinates obtained in the receiving module 1 can reach the centimeter level, the driving track formed based thereon can realize lane-level positioning.
检测模块3,用于根据分析模块2分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。The detection module 3 is used to detect vehicle violations at the lane level according to the lane-level driving trajectory obtained by the analysis module 2 and the preset lane-level road information and lane-level violation standard information.
本实施例主要实现的是车道级别的违规检测,例如:违规变道、违规占用专用车道(公交专用车道、应急车道等)、不按导向车道行驶、超过车道限速、逆向行驶等涉及车道级别的违规情况,这主要由检测模块3实现。This embodiment mainly implements lane-level violation detection, such as: illegal lane changes, illegal occupation of special lanes (bus lanes, emergency lanes, etc.), not following the guide lane, exceeding the speed limit of the lane, driving in the opposite direction, etc. violations, which is mainly realized by the detection module 3.
在车辆违规监控装置中,车道级别道路信息和车道级别违规标准信息均是预先设置好的,它们可以分别以车道级别道路信息数据库和车道级别违规标准信息数据库的方式实现。In the vehicle violation monitoring device, the lane-level road information and the lane-level violation standard information are preset, and they can be implemented in the form of a lane-level road information database and a lane-level violation standard information database respectively.
其中,车道级别道路信息主要定了路网是什么样的,路网上有哪些标志、标线等,其包括路网中每条车道的地理位置信息、道路标志的地理位置信息和道路标线的地理位置信息,这些地理位置信息通常是固定的,可以通过实际采集得到,其中道路标志包括警告标志、禁令标志、指路标志、指示标志、其他标志,道路标线包括指示标线、禁止标线、警告标线、其他标线,这些信息可以构建出整个真实的路网。Among them, the lane-level road information mainly determines what the road network is like, what signs and markings are on the road network, etc., which includes the geographical location information of each lane in the road network, the geographical location information of road signs and the location information of road markings. Geographic location information, which is usually fixed and can be obtained through actual collection, where road signs include warning signs, prohibition signs, guide signs, indicator signs, and other signs, and road markings include indicator lines and prohibition lines , warning markings, and other markings, these information can build the entire real road network.
其中,车道级别违规标准信息主要定义了在路网上什么样的行为是车道违规行为,其可以是在车道数据库中设置违章违规的具体触发条件,一旦车辆行驶轨迹触发了该条件,即可判定为违章违规,其中违规检测的条件可以是超速、违反规定使用专用车道、违反标志标线指示等。Among them, the lane-level violation standard information mainly defines what kind of behavior on the road network is a lane violation, which can be set in the lane database to set specific trigger conditions for violations. Once the vehicle trajectory triggers this condition, it can be judged as Violation of rules and regulations, where the conditions for violation detection can be speeding, using special lanes in violation of regulations, and violation of signs and markings.
具体的,检测模块3可以将分析模块2得到的行车轨迹在车道级别道路信息定义的路网中还原,然后采用与车道级别道路信息关联的车道级别违规标准信息判断该行车轨迹是否违规,例如:如图2所示,车道级别违规标准信息定义了在图示中的右车道上只能向前行驶,不能调头到左车道,然而当确定某车的行车轨迹如图所示时,则说明该车在车道级别上违规行驶了。Specifically, the detection module 3 can restore the driving trajectory obtained by the analysis module 2 in the road network defined by the lane-level road information, and then use the lane-level violation standard information associated with the lane-level road information to determine whether the driving trajectory is illegal, for example: As shown in Figure 2, the lane-level violation standard information defines that the right lane in the illustration can only drive forward and cannot turn around to the left lane. However, when the driving track of a certain car is determined as shown in the figure, it means that The car is driving illegally at the lane level.
本实施例,当检测模块3检测到车辆在车道级别上存在违规时,可以记录车辆的违规情况,并将违规情况下发至车载设备以提醒驾驶者,使驾驶者能够急时的纠正错误驾驶行为,避免出现交通事故。In this embodiment, when the detection module 3 detects that the vehicle has violations at the lane level, it can record the violations of the vehicle, and send the violations to the on-board equipment to remind the driver, so that the driver can quickly correct the wrong driving behavior to avoid traffic accidents.
本实施例,接收模块1中的车辆信息除了包括车辆地理坐标和对应的时间信息外,还可以包括车辆的身份信息,以便检测模块3检测到车道级别违规时,可以确定违规责任人,并进一步从车辆的身份信息关联的金融账户中扣除相应的违规金额,并通过车载设备告知驾驶者。In this embodiment, the vehicle information in the receiving module 1 may include not only the geographic coordinates of the vehicle and corresponding time information, but also the identity information of the vehicle, so that when the detection module 3 detects a violation of the lane level, the person responsible for the violation can be determined, and further The corresponding violation amount is deducted from the financial account associated with the vehicle's identity information, and the driver is notified through the vehicle equipment.
本实施例,分析模块2根据车辆信息分析车辆行车轨迹时,将行车轨迹精确到车道级别,为车道级别的违规检测的实现提供了基础,然后由检测模块3根据车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况,从而实现了车道级别的违规检测,弥补了现有技术的不足,并且该方式对应用环境没有严格的限制,只要预置的车道级别道路信息够详细,则有无线信号的地方均能实现,因此十分适合于复杂的城市交通道路上的车道级别违规检测,并且采用本发明实施例,可以减小诸如线圈、雷达、摄像设备等路面监控设备的建设,从而免去这些设备日常维护,为虑拟化的车辆违规监控提供了可行方案。In this embodiment, when the analysis module 2 analyzes the vehicle trajectory according to the vehicle information, the vehicle trajectory is accurate to the lane level, which provides a basis for the realization of violation detection at the lane level, and then the detection module 3 according to the lane level and preset The lane-level road information and lane-level violation standard information detect vehicle violations at the lane level, thereby realizing lane-level violation detection and making up for the shortcomings of existing technologies, and this method has no strict restrictions on the application environment. As long as the preset lane-level road information is detailed enough, it can be realized in places with wireless signals, so it is very suitable for lane-level violation detection on complex urban traffic roads, and using the embodiments of the present invention, it is possible to reduce the number of vehicles such as coils, The construction of road monitoring equipment such as radar and camera equipment can avoid the daily maintenance of these equipment, and provide a feasible solution for the simulated monitoring of vehicle violations.
请参考图4,是本发明提供的车辆违规监控系统的实施例的结构示意图,该车辆违规监控系统包括:车载设备4和云服务器5,其中车载设备4和云服务器5通过无线网络连接。Please refer to FIG. 4 , which is a schematic structural diagram of an embodiment of a vehicle violation monitoring system provided by the present invention. The vehicle violation monitoring system includes: a vehicle-mounted device 4 and a cloud server 5, wherein the vehicle-mounted device 4 and the cloud server 5 are connected through a wireless network.
其中,车载设备4,主要用于确定车辆信息,其中车辆信息包括车辆地理坐标和对应的时间信息,以及将确定的车辆信息上报至所述云服务器。Wherein, the on-vehicle device 4 is mainly used for determining vehicle information, wherein the vehicle information includes vehicle geographic coordinates and corresponding time information, and reporting the determined vehicle information to the cloud server.
具体的,车载设备4包括:处理器41、全球定位接收模块42、无线通讯模块43、电子标签44、存储器45和输出模块46。其中,处理器41分别与全球定位接收模块42、无线通讯模块43、电子标签44、存储器45和输出模块46连接。其中,全球定位接收模块42主要用于确定车辆的位置,即地理坐标,无线通讯模块43主要用于与云服务器5建立连接,将数据传递至云服务器或者从云服务器接收数据,电子标签44主要存储的车辆的相关信息,例如:车主、车辆类型、车牌号等等,存储器45主要用于存储定位接收模块42接收的地理坐标及对应的接收时间,输出模块46主要用于显示云服务器反馈的行车轨迹、违规通知、超速提醒、违规扣款通知等相关信息。Specifically, the vehicle-mounted device 4 includes: a processor 41 , a global positioning receiving module 42 , a wireless communication module 43 , an electronic tag 44 , a memory 45 and an output module 46 . Wherein, the processor 41 is respectively connected with the global positioning receiving module 42 , the wireless communication module 43 , the electronic tag 44 , the memory 45 and the output module 46 . Among them, the global positioning receiving module 42 is mainly used to determine the position of the vehicle, that is, geographical coordinates, the wireless communication module 43 is mainly used to establish a connection with the cloud server 5, and transmits data to the cloud server or receives data from the cloud server. The relevant information of the stored vehicle, such as: car owner, vehicle type, license plate number, etc., the memory 45 is mainly used to store the geographical coordinates and the corresponding receiving time received by the positioning receiving module 42, and the output module 46 is mainly used to display the feedback from the cloud server. Driving track, violation notification, speeding reminder, violation deduction notification and other related information.
其中,云服务器5,主要用于根据所述车载设备上报的车辆信息分析车辆的行车轨迹,其中行车轨迹精确到车道级别,以及,用于根据分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。云服务器5的具体结构及工作方式可以参考图3的车辆违规监控装置,在此不赘述。Wherein, the cloud server 5 is mainly used to analyze the driving track of the vehicle according to the vehicle information reported by the vehicle-mounted device, wherein the driving track is accurate to the lane level, and is used to analyze the lane-level driving track obtained according to the analysis and the preset lane Level road information, lane-level violation standard information, and detect vehicle violations at the lane level. For the specific structure and working method of the cloud server 5, reference may be made to the vehicle violation monitoring device in FIG. 3 , which will not be described in detail here.
需要指出的是,本实施例在实现车道级别的违规情况检测的同时,同样可以实现超速等其它违规行为的检测。It should be pointed out that, in this embodiment, the detection of other violations such as speeding can also be realized while realizing the detection of violations at the lane level.
本实施例,由车载设备4和云服务器5构建的车道级别的违规检测系统,该系统可以实现车道级别的违规检测,并且应用范围广,十分适合于复杂的城市交通道路上的车道级别违规检测,为虑拟化的车辆违规监控提供了可行方案。In this embodiment, the lane-level violation detection system constructed by the vehicle-mounted device 4 and the cloud server 5 can realize lane-level violation detection, and has a wide range of applications, and is very suitable for lane-level violation detection on complex urban traffic roads , which provides a feasible solution for the simulated monitoring of vehicle violations.
最后说明的是,以上实施例仅用以说明本发明的技术方案而非限制,尽管参照较佳实施例对本发明进行了详细说明,本领域的普通技术人员应当理解,可以对本发明的技术方案进行修改或者等同替换,而不脱离本发明技术方案的宗旨和范围,其均应涵盖在本发明的权利要求范围当中。Finally, it is noted that the above embodiments are only used to illustrate the technical solutions of the present invention without limitation. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be carried out Modifications or equivalent replacements without departing from the spirit and scope of the technical solution of the present invention shall be covered by the claims of the present invention.
Claims (10)
1.一种车辆违规监控方法,其特征在于:包括:1. A vehicle violation monitoring method, characterized in that: comprising: 接收车载设备上报的车辆信息,所述车辆信息包括车辆地理坐标和对应的时间信息;receiving vehicle information reported by the on-board equipment, the vehicle information including vehicle geographic coordinates and corresponding time information; 根据所述接收的车辆信息分析车辆的行车轨迹,所述行车轨迹精确到车道级别;Analyzing the vehicle's driving trajectory according to the received vehicle information, the driving trajectory is accurate to the lane level; 根据分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。According to the analyzed lane-level driving trajectory, preset lane-level road information, and lane-level violation standard information, detect vehicle violations at the lane level. 2.如权利要求1所述的车辆违规监控方法,其特征在于:所述车道级别道路信息包括路网中每条车道的地理位置信息、道路标志的地理位置信息、道路标线的地理位置信息,所述车道级别违规标准信息是将违规检测的基本参数关联到所述车道级别道路信息中的相关车道上而形成。2. The vehicle violation monitoring method according to claim 1, characterized in that: said lane-level road information comprises geographic location information of each lane in the road network, geographic location information of road signs, and geographic location information of road markings , the lane-level violation standard information is formed by associating basic parameters of violation detection with relevant lanes in the lane-level road information. 3.如权利要求1或2所述的车辆违规监控方法,其特征在于:所述方法采用云服务器实现,所述方法还包括:当检测到车辆在车道级别上存在违规时,记录车辆的违规情况,并将违规情况下发至所述车载设备以提醒驾驶者。3. The vehicle violation monitoring method according to claim 1 or 2, characterized in that: the method is implemented using a cloud server, and the method further comprises: when it is detected that the vehicle has a violation at the lane level, recording the violation of the vehicle situation, and the violation will be sent to the on-board device to remind the driver. 4.一种车辆违规监控装置,其特征在于:包括:4. A vehicle violation monitoring device, characterized in that: comprising: 接收模块,用于接收车载设备上报的车辆信息,所述车辆信息包括车辆地理坐标和对应的时间信息;A receiving module, configured to receive vehicle information reported by the vehicle-mounted device, the vehicle information including vehicle geographic coordinates and corresponding time information; 分析模块,用于根据所述接收模块接收的车辆信息分析车辆的行车轨迹,所述行车轨迹精确到车道级别;An analysis module, configured to analyze the driving trajectory of the vehicle according to the vehicle information received by the receiving module, and the driving trajectory is accurate to the lane level; 检测模块,用于根据分析模块分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。The detection module is used to detect violations of vehicles at the lane level according to the lane-level driving trajectory obtained by the analysis module, the preset lane-level road information, and the lane-level violation standard information. 5.如权利要求4所述的车辆违规监控装置,其特征在于:所述车道级别道路信息包括路网中每条车道的地理位置信息、道路标志的地理位置信息、道路标线的地理位置信息,所述车道级别违规标准信息是将违规检测的基本参数关联到所述车道级别道路信息中的相关车道上而形成。5. The vehicle violation monitoring device according to claim 4, wherein the lane-level road information includes geographic location information of each lane in the road network, geographic location information of road signs, and geographic location information of road markings , the lane-level violation standard information is formed by associating basic parameters of violation detection with relevant lanes in the lane-level road information. 6.如权利要求4或5所述的车辆违规监控装置,其特征在于:所述车辆违规监控装置采用云服务器实现,所述车辆违规监控装置还包括:违规处理模块,用于当检测模块检测到车辆在车道级别上存在违规时,记录车辆的违规情况,并将违规情况下发至所述车载设备以提醒驾驶者。6. The vehicle violation monitoring device according to claim 4 or 5, characterized in that: the vehicle violation monitoring device is implemented using a cloud server, and the vehicle violation monitoring device also includes: a violation processing module, which is used when the detection module detects When the vehicle violates the rules at the lane level, the violation situation of the vehicle is recorded, and the violation situation is sent to the on-board device to remind the driver. 7.一种车辆违规监控系统,其特征在于:包括:车载设备和云服务器;7. A vehicle violation monitoring system, characterized in that: comprising: a vehicle-mounted device and a cloud server; 所述车载设备,用于确定车辆信息,所述车辆信息包括车辆地理坐标和对应的时间信息,并将确定的车辆信息上报至所述云服务器;The on-vehicle device is used to determine vehicle information, the vehicle information includes vehicle geographic coordinates and corresponding time information, and reports the determined vehicle information to the cloud server; 所述云服务器,用于根据所述车载设备上报的车辆信息分析车辆的行车轨迹,所述行车轨迹精确到车道级别,The cloud server is configured to analyze the driving trajectory of the vehicle according to the vehicle information reported by the vehicle equipment, the driving trajectory is accurate to the lane level, 以及,用于根据分析得到的车道级别的行车轨迹和预置的车道级别道路信息、车道级别违规标准信息,检测车辆在车道级别上的违规情况。And, it is used to detect vehicle violations at the lane level based on the analyzed lane-level driving trajectory, preset lane-level road information, and lane-level violation standard information. 8.如权利要求7所述的车辆违规监控系统,其特征在于:所述车道级别道路信息包括路网中每条车道的地理位置信息、道路标志的地理位置信息、道路标线的地理位置信息,所述车道级别违规标准信息是将违规检测的基本参数关联到所述车道级别道路信息中的相关车道上而形成。8. The vehicle violation monitoring system according to claim 7, characterized in that: said lane-level road information includes geographic location information of each lane in the road network, geographic location information of road signs, and geographic location information of road markings , the lane-level violation standard information is formed by associating basic parameters of violation detection with relevant lanes in the lane-level road information. 9.如权利要求7或8所述的车辆违规监控系统,其特征在于:所述车载设备包括:全球定位接收模块、处理器、无线通讯模块、电子标签、存储器和输出模块,所述处理器分别与全球定位接收模块、无线通讯模块、电子标签和存储器连接。9. The vehicle violation monitoring system as claimed in claim 7 or 8, characterized in that: the vehicle-mounted device comprises: a global positioning receiving module, a processor, a wireless communication module, an electronic tag, a memory and an output module, and the processor It is respectively connected with the global positioning receiving module, the wireless communication module, the electronic label and the memory. 10.如权利要求7或8所述的车辆违规监控系统,其特征在于:所述云服务器,还用于当检测到车辆在道级别上存在违规时,记录车辆的违规情况,并将违规情况下发至所述车载设备以提醒驾驶者。10. The vehicle violation monitoring system as claimed in claim 7 or 8, characterized in that: the cloud server is also used to record the violation of the vehicle when it is detected that the vehicle is in violation at the road level, and record the violation Send to the vehicle equipment to remind the driver.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310446392XA CN103473929A (en) | 2013-09-26 | 2013-09-26 | Method, device and system for monitoring vehicle violation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310446392XA CN103473929A (en) | 2013-09-26 | 2013-09-26 | Method, device and system for monitoring vehicle violation |
Publications (1)
Publication Number | Publication Date |
---|---|
CN103473929A true CN103473929A (en) | 2013-12-25 |
Family
ID=49798757
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310446392XA Pending CN103473929A (en) | 2013-09-26 | 2013-09-26 | Method, device and system for monitoring vehicle violation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103473929A (en) |
Cited By (33)
* Cited by examiner, † Cited by third partyPublication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104408074A (en) * | 2014-10-31 | 2015-03-11 | 奇瑞汽车股份有限公司 | Vehicle-mounted wireless communication module-based vehicle violation record query system |
CN104751628A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团公司 | Method and system for monitoring vehicle |
CN105139654A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic vehicle-mounted information acquisition device |
CN105139652A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic violation vehicle driving information acquisition device |
CN105139679A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic road condition violation prohibition sign storage device |
CN105139651A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic real-time monitoring system |
CN105185146A (en) * | 2015-09-04 | 2015-12-23 | 石立公 | System and method for automatically monitoring change of area of vehicle |
CN105761483A (en) * | 2014-12-16 | 2016-07-13 | 高德软件有限公司 | Vehicle data processing method and equipment thereof |
CN105788256A (en) * | 2016-03-30 | 2016-07-20 | 北京交通大学 | Road condition information sensing method based on Internet of vehicles |
WO2016165150A1 (en) * | 2015-04-14 | 2016-10-20 | 深圳市润安科技发展有限公司 | Method and system for detecting and penalising vehicle for running red light |
CN106097751A (en) * | 2016-08-10 | 2016-11-09 | 乐视控股(北京)有限公司 | Vehicle travel control method and device |
CN106530437A (en) * | 2016-09-06 | 2017-03-22 | 深圳市金立通信设备有限公司 | Driving prompting method and terminal |
CN107229680A (en) * | 2017-05-08 | 2017-10-03 | 武汉依迅北斗空间技术有限公司 | A kind of slag-soil truck violation operation retroactive method and system |
CN107507445A (en) * | 2017-08-17 | 2017-12-22 | 千寻位置网络有限公司 | The method for reporting traffic accident and congestion track automatically based on high accuracy positioning |
CN107545735A (en) * | 2017-08-30 | 2018-01-05 | 顾泰来 | A kind of shared bicycle monitoring management system with road provisioning information |
CN107545736A (en) * | 2017-08-30 | 2018-01-05 | 顾泰来 | A kind of shared vehicle supervision by the public management system |
CN107610449A (en) * | 2017-08-30 | 2018-01-19 | 顾泰来 | A kind of interactive platform monitoring management system |
CN107766377A (en) * | 2016-08-19 | 2018-03-06 | 华为技术有限公司 | A kind of monitoring data querying method and device |
CN107871393A (en) * | 2016-09-27 | 2018-04-03 | 千寻位置网络有限公司 | A kind of automatic discrimination vehicle peccancy takes the method and its system in forbidden track |
CN108242167A (en) * | 2016-12-24 | 2018-07-03 | 钱浙滨 | A kind of traffic safety facilities information acquisition method, application method and device |
CN108877233A (en) * | 2018-07-13 | 2018-11-23 | 上海擎感智能科技有限公司 | A kind of traffic violation recording method and system, car-mounted terminal based on car-mounted terminal |
CN109166312A (en) * | 2018-09-03 | 2019-01-08 | 武汉小象创意科技有限公司 | Automation violation detection system and method for the wheelpath based on road net data |
CN109633727A (en) * | 2018-12-29 | 2019-04-16 | 西南交通大学 | A kind of retrograde Activity recognition method of the shared bicycle based on track drift angle |
CN109884338A (en) * | 2019-04-11 | 2019-06-14 | 武汉小安科技有限公司 | Share the retrograde detection method of electric vehicle, device, equipment and storage medium |
CN109961057A (en) * | 2019-04-03 | 2019-07-02 | 罗克佳华科技集团股份有限公司 | A kind of vehicle location preparation method and device |
CN110428621A (en) * | 2019-07-30 | 2019-11-08 | 山东交通学院 | A kind of monitoring of Floating Car dangerous driving behavior and method for early warning based on track data |
CN110956809A (en) * | 2018-09-27 | 2020-04-03 | 千寻位置网络有限公司 | System and method for monitoring vehicle passing intersection |
CN111028514A (en) * | 2019-11-25 | 2020-04-17 | 沈阳世纪高通科技有限公司 | Method and device for determining vehicle overspeed |
CN112542054A (en) * | 2020-12-08 | 2021-03-23 | 长沙理工大学 | Vehicle monitoring method and device and traffic management system |
CN112863171A (en) * | 2020-12-25 | 2021-05-28 | 山东高速信息集团有限公司 | Intelligent inspection method and system based on historical data analysis |
CN115472015A (en) * | 2022-09-20 | 2022-12-13 | 福建鼎旸信息科技股份有限公司 | High-precision guiding system and method based on positioning correction of foundation Internet of things |
CN116153080A (en) * | 2023-04-17 | 2023-05-23 | 创意信息技术股份有限公司 | Method, device, equipment and storage medium for detecting vehicle illegal running |
US11830358B1 (en) | 2022-05-05 | 2023-11-28 | Here Global B.V. | Method and apparatus for detecting suspicious device/vehicle presence on non-navigable roads |
Citations (5)
* Cited by examiner, † Cited by third partyPublication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008130722A1 (en) * | 2007-04-18 | 2008-10-30 | Mitac International Corporation | Method and system for navigation using gps velocity vector |
US20110090076A1 (en) * | 2008-06-02 | 2011-04-21 | Honda Motor Co., Ltd. | Speed alarm system |
US20110191388A1 (en) * | 2010-01-29 | 2011-08-04 | Denso Corporation | Method for creating map data and map data utilization apparatus |
CN102354435A (en) * | 2011-07-05 | 2012-02-15 | 成都智汇科技有限公司 | Intelligent warning device based on geographic information system (GIS) |
CN103050013A (en) * | 2012-11-29 | 2013-04-17 | 江苏鸿信系统集成有限公司 | Vehicle grading speed-limiting monitoring method and device based on Internet of vehicles technology |
-
2013
- 2013-09-26 CN CN201310446392XA patent/CN103473929A/en active Pending
Patent Citations (5)
* Cited by examiner, † Cited by third partyPublication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008130722A1 (en) * | 2007-04-18 | 2008-10-30 | Mitac International Corporation | Method and system for navigation using gps velocity vector |
US20110090076A1 (en) * | 2008-06-02 | 2011-04-21 | Honda Motor Co., Ltd. | Speed alarm system |
US20110191388A1 (en) * | 2010-01-29 | 2011-08-04 | Denso Corporation | Method for creating map data and map data utilization apparatus |
CN102354435A (en) * | 2011-07-05 | 2012-02-15 | 成都智汇科技有限公司 | Intelligent warning device based on geographic information system (GIS) |
CN103050013A (en) * | 2012-11-29 | 2013-04-17 | 江苏鸿信系统集成有限公司 | Vehicle grading speed-limiting monitoring method and device based on Internet of vehicles technology |
Cited By (42)
* Cited by examiner, † Cited by third partyPublication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104751628A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团公司 | Method and system for monitoring vehicle |
CN104408074A (en) * | 2014-10-31 | 2015-03-11 | 奇瑞汽车股份有限公司 | Vehicle-mounted wireless communication module-based vehicle violation record query system |
CN105761483A (en) * | 2014-12-16 | 2016-07-13 | 高德软件有限公司 | Vehicle data processing method and equipment thereof |
CN105761483B (en) * | 2014-12-16 | 2019-08-09 | 高德软件有限公司 | A kind of vehicle data processing method and equipment |
WO2016165150A1 (en) * | 2015-04-14 | 2016-10-20 | 深圳市润安科技发展有限公司 | Method and system for detecting and penalising vehicle for running red light |
CN105185146A (en) * | 2015-09-04 | 2015-12-23 | 石立公 | System and method for automatically monitoring change of area of vehicle |
CN105139651B (en) * | 2015-09-11 | 2017-12-08 | 深圳市东来奇德实业发展有限公司 | A kind of intelligent transportation real-time monitoring system |
CN105139654A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic vehicle-mounted information acquisition device |
CN105139652A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic violation vehicle driving information acquisition device |
CN105139679A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic road condition violation prohibition sign storage device |
CN105139651A (en) * | 2015-09-11 | 2015-12-09 | 成都川睿科技有限公司 | Intelligent traffic real-time monitoring system |
CN105788256A (en) * | 2016-03-30 | 2016-07-20 | 北京交通大学 | Road condition information sensing method based on Internet of vehicles |
CN105788256B (en) * | 2016-03-30 | 2018-07-24 | 北京交通大学 | Traffic information cognitive method based on car networking |
CN106097751A (en) * | 2016-08-10 | 2016-11-09 | 乐视控股(北京)有限公司 | Vehicle travel control method and device |
CN107766377B (en) * | 2016-08-19 | 2021-08-03 | 华为技术有限公司 | Monitoring data query method and device |
CN107766377A (en) * | 2016-08-19 | 2018-03-06 | 华为技术有限公司 | A kind of monitoring data querying method and device |
CN106530437A (en) * | 2016-09-06 | 2017-03-22 | 深圳市金立通信设备有限公司 | Driving prompting method and terminal |
CN107871393A (en) * | 2016-09-27 | 2018-04-03 | 千寻位置网络有限公司 | A kind of automatic discrimination vehicle peccancy takes the method and its system in forbidden track |
CN108242167A (en) * | 2016-12-24 | 2018-07-03 | 钱浙滨 | A kind of traffic safety facilities information acquisition method, application method and device |
CN107229680A (en) * | 2017-05-08 | 2017-10-03 | 武汉依迅北斗空间技术有限公司 | A kind of slag-soil truck violation operation retroactive method and system |
CN107507445A (en) * | 2017-08-17 | 2017-12-22 | 千寻位置网络有限公司 | The method for reporting traffic accident and congestion track automatically based on high accuracy positioning |
CN107545736A (en) * | 2017-08-30 | 2018-01-05 | 顾泰来 | A kind of shared vehicle supervision by the public management system |
CN107545735A (en) * | 2017-08-30 | 2018-01-05 | 顾泰来 | A kind of shared bicycle monitoring management system with road provisioning information |
CN107610449A (en) * | 2017-08-30 | 2018-01-19 | 顾泰来 | A kind of interactive platform monitoring management system |
CN107545735B (en) * | 2017-08-30 | 2020-12-01 | 顾泰来 | A shared bicycle supervision and management system with road traffic regulation information |
CN108877233A (en) * | 2018-07-13 | 2018-11-23 | 上海擎感智能科技有限公司 | A kind of traffic violation recording method and system, car-mounted terminal based on car-mounted terminal |
CN109166312A (en) * | 2018-09-03 | 2019-01-08 | 武汉小象创意科技有限公司 | Automation violation detection system and method for the wheelpath based on road net data |
CN109166312B (en) * | 2018-09-03 | 2022-06-07 | 武汉小象创意科技有限公司 | Road network data-based automatic violation detection system and method for driving track |
CN110956809A (en) * | 2018-09-27 | 2020-04-03 | 千寻位置网络有限公司 | System and method for monitoring vehicle passing intersection |
CN109633727A (en) * | 2018-12-29 | 2019-04-16 | 西南交通大学 | A kind of retrograde Activity recognition method of the shared bicycle based on track drift angle |
CN109961057A (en) * | 2019-04-03 | 2019-07-02 | 罗克佳华科技集团股份有限公司 | A kind of vehicle location preparation method and device |
CN109884338B (en) * | 2019-04-11 | 2021-04-27 | 武汉小安科技有限公司 | Method, device, equipment and storage medium for detecting reverse running of shared electric vehicle |
CN109884338A (en) * | 2019-04-11 | 2019-06-14 | 武汉小安科技有限公司 | Share the retrograde detection method of electric vehicle, device, equipment and storage medium |
CN110428621A (en) * | 2019-07-30 | 2019-11-08 | 山东交通学院 | A kind of monitoring of Floating Car dangerous driving behavior and method for early warning based on track data |
CN111028514A (en) * | 2019-11-25 | 2020-04-17 | 沈阳世纪高通科技有限公司 | Method and device for determining vehicle overspeed |
CN112542054A (en) * | 2020-12-08 | 2021-03-23 | 长沙理工大学 | Vehicle monitoring method and device and traffic management system |
CN112863171A (en) * | 2020-12-25 | 2021-05-28 | 山东高速信息集团有限公司 | Intelligent inspection method and system based on historical data analysis |
CN112863171B (en) * | 2020-12-25 | 2022-05-17 | 山东高速信息集团有限公司 | Intelligent inspection method and system based on historical data analysis |
US11830358B1 (en) | 2022-05-05 | 2023-11-28 | Here Global B.V. | Method and apparatus for detecting suspicious device/vehicle presence on non-navigable roads |
CN115472015A (en) * | 2022-09-20 | 2022-12-13 | 福建鼎旸信息科技股份有限公司 | High-precision guiding system and method based on positioning correction of foundation Internet of things |
CN115472015B (en) * | 2022-09-20 | 2024-01-02 | 福建鼎旸信息科技股份有限公司 | High-precision guiding system and method based on positioning correction of Internet of things of foundation |
CN116153080A (en) * | 2023-04-17 | 2023-05-23 | 创意信息技术股份有限公司 | Method, device, equipment and storage medium for detecting vehicle illegal running |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103473929A (en) | 2013-12-25 | Method, device and system for monitoring vehicle violation |
CN111524357B (en) | 2022-01-07 | Method for fusing multiple data required for safe driving of vehicle |
US9940530B2 (en) | 2018-04-10 | Platform for acquiring driver behavior data |
US9224293B2 (en) | 2015-12-29 | Apparatus and system for monitoring and managing traffic flow |
CN112729316B (en) | 2024-07-05 | Positioning method and device of automatic driving vehicle, vehicle-mounted equipment, system and vehicle |
US9533688B1 (en) | 2017-01-03 | Platform for acquiring driver behavior data |
US20160379486A1 (en) | 2016-12-29 | Apparatus and system to manage monitored vehicular flow rate |
US9761134B2 (en) | 2017-09-12 | Monitoring and reporting slow drivers in fast highway lanes |
US9836965B2 (en) | 2017-12-05 | Move over slow drivers |
CN103366590A (en) | 2013-10-23 | Information inquiry system and method based on vehicle-mounted terminal |
CN105336207A (en) | 2016-02-17 | Vehicle recorder and public security comprehensive monitoring system |
US9601011B1 (en) | 2017-03-21 | Monitoring and reporting slow drivers in fast highway lanes |
CN108248611B (en) | 2020-08-25 | Automatic driving method, automobile control equipment, automobile and system |
CN107578624A (en) | 2018-01-12 | Urban transportation management-control method, apparatus and system |
CN110310499A (en) | 2019-10-08 | A kind of method and device of ring road speed limit identification |
CN104751628A (en) | 2015-07-01 | Method and system for monitoring vehicle |
CN103426321A (en) | 2013-12-04 | Vehicle information collection and monitoring system with warning function |
CN104269063A (en) | 2015-01-07 | Intelligent traffic speed limiting prewarning and route planning system |
CN107689161A (en) | 2018-02-13 | The intelligent automobile Real-road Driving Cycle constructing system of people's car traffic interconnection |
US20140279587A1 (en) | 2014-09-18 | System for tracking vehicle speed violations |
CN102411841A (en) | 2012-04-11 | Method and device for processing traffic road condition data |
CN110737736B (en) | 2024-02-09 | Method and equipment for acquiring vehicle condition map information |
WO2011103612A1 (en) | 2011-09-01 | Traffic management system |
CN114722127A (en) | 2022-07-08 | Electronic map correction method, navigation information setting method, navigation method and device |
Lim et al. | 2022 | Spatiotemporal traffic density estimation based on ADAS probe data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
2013-12-25 | C06 | Publication | |
2013-12-25 | PB01 | Publication | |
2014-01-22 | C10 | Entry into substantive examination | |
2014-01-22 | SE01 | Entry into force of request for substantive examination | |
2018-06-29 | RJ01 | Rejection of invention patent application after publication |
Application publication date: 20131225 |
2018-06-29 | RJ01 | Rejection of invention patent application after publication |