WO2018028069A1 - Safe driving evaluation method and system based on vehicle-mounted intelligent unit - Google Patents

Safe driving evaluation method and system based on vehicle-mounted intelligent unit Download PDF

Info

Publication number
WO2018028069A1
WO2018028069A1 PCT/CN2016/105634 CN2016105634W WO2018028069A1 WO 2018028069 A1 WO2018028069 A1 WO 2018028069A1 CN 2016105634 W CN2016105634 W CN 2016105634W WO 2018028069 A1 WO2018028069 A1 WO 2018028069A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
driving
information
intelligent unit
module
Prior art date
Application number
PCT/CN2016/105634
Other languages
French (fr)
Chinese (zh)
Inventor
刘均
刘新
宋朝忠
欧阳张鹏
Original Assignee
深圳市元征科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市元征科技股份有限公司 filed Critical 深圳市元征科技股份有限公司
Publication of WO2018028069A1 publication Critical patent/WO2018028069A1/en

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Definitions

  • the invention relates to a safe driving evaluation method and system based on a vehicle intelligent unit.
  • the main object of the present invention is to provide a safe driving evaluation method and system based on an in-vehicle intelligent unit, and estimate whether the driver's driving habits are potentially dangerous according to the specific use situation and driving habits of the customer. It aims to solve the problem of the lag of the traditional safe driving evaluation method.
  • the present invention provides a safe driving evaluation method based on an in-vehicle intelligent unit, which includes the following steps:
  • Real-time sensing of vehicle driving state information including position information, motion acceleration information, motion azimuth information, and reading vehicle state data of the driving computer;
  • the cloud server analyzes the vehicle driving state information and the vehicle state data to complete the vehicle safety driving evaluation
  • the cloud server sends the evaluation result to the mobile terminal.
  • the cloud server analyzes the vehicle driving state information and the vehicle state data, and the step S3 of completing the vehicle safety driving evaluation includes:
  • the real-time sensing vehicle driving state information including the position information, the motion acceleration information, the motion azimuth information, and the step S1 of reading the vehicle state data of the driving computer, further includes:
  • the invention also provides a safe driving evaluation system based on an in-vehicle intelligent unit, comprising an in-vehicle intelligent unit, a cloud server and a mobile terminal, wherein the in-vehicle intelligent unit comprises:
  • a navigation module for collecting driving time, driving time, geographical location and moving speed information of the vehicle
  • a sensor module including an acceleration sensor and an azimuth sensor, for collecting motion acceleration information and real-time motion azimuth information of the vehicle;
  • a driving data acquisition module configured to connect with a driving computer through a CAN bus to acquire state data of the vehicle
  • a storage module configured to store various information data of the collected vehicle
  • a transmission module configured to receive a control instruction of the mobile terminal, and upload various information data of the vehicle saved by the storage module;
  • the data processing module is connected to the navigation module, the sensor module, the storage module, and the driving data acquisition module as a control center of the device.
  • the in-vehicle intelligent unit-based safe driving evaluation system further includes an identity recognition module.
  • the identity recognition module comprises a fingerprint recognition device and/or a voice recognition device.
  • the acceleration sensor is a six-axis linear acceleration sensor.
  • the azimuth sensor is a three-axis digital magnetometer.
  • the navigation module comprises a satellite navigation module and/or a wireless base station navigation module.
  • the transmission module comprises a Bluetooth module and/or a mobile communication module.
  • FIG. 1 is a flow chart of a method for safe driving evaluation based on an in-vehicle intelligent unit according to the present invention
  • FIG. 2 is a schematic structural view of a vehicle-mounted intelligent unit in the safe driving evaluation system of the present invention.
  • first, second, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is at least two, such as two, three, etc., unless specifically defined otherwise.
  • the terms "connected”, “fixed” and the like should be understood broadly, unless otherwise clearly defined and limited.
  • “fixed” may be a fixed connection, or may be a detachable connection, or may be integrated; It may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and may be an internal connection of two elements or an interaction relationship of two elements unless explicitly defined otherwise.
  • the specific meanings of the above terms in the present invention can be understood on a case-by-case basis.
  • a safe driving evaluation method based on a vehicle intelligent unit includes the following steps:
  • S1 real-time sensing vehicle driving state information, including position information, motion acceleration information, motion azimuth information, and reading vehicle state data of the driving computer;
  • the cloud server analyzes the driving state information of the vehicle and the vehicle state data, and completes the vehicle safety driving assessment
  • the cloud server sends the evaluation result to the mobile terminal.
  • Car smart unit is also called Telematics BOX, part of the car networking system.
  • the car networking system consists of four parts, the host, the car smart unit, the mobile APP and the back-end system (including the cloud server).
  • the host is mainly used for audio-visual entertainment and vehicle information display;
  • the vehicle-mounted intelligent unit is mainly used for communication with the background system or the mobile APP, and realizes the display and control of the vehicle information of the mobile APP.
  • the background system will issue a monitoring request command to the vehicle intelligent unit.
  • the vehicle After obtaining the control command, the vehicle sends the control message through the CAN bus and realizes the control of the vehicle, and finally the feedback operation result is On the user's mobile app, this function only helps the user to remotely start the vehicle, turn on the air conditioner, adjust the seat to the proper position, and so on.
  • the technical solution of the present invention applies the currently popular vehicle intelligent unit device, and collects and records posture data of the vehicle during running, such as geographical position, acceleration, azimuth, unit time mileage, etc., to judge the driving habit of the driver.
  • posture data of the vehicle during running such as geographical position, acceleration, azimuth, unit time mileage, etc.
  • the vehicle's speed and acceleration are not a reference for judging its driving habits.
  • the azimuth change speed is large indicating the driver's driving.
  • Habits are potentially dangerous; if the vehicle is traveling on a winding road, the azimuth change speed is not a good reference for judging its driving habits.
  • the vehicle intelligent unit can also connect with the driving computer ECU of the vehicle through the CAN bus to collect and record the state of the vehicle, such as tire pressure, fuel consumption, working conditions of various subsystems, etc., and collect and record the vehicle driving posture data, and upload them together.
  • the cloud server it can also be transmitted to the driver's mobile terminal such as mobile phone and tablet for display by the driver.
  • the cloud server receives the data transmitted by the vehicle intelligent unit for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server feeds the evaluation result to the driver and the relevant evaluator.
  • Mobile terminal receives the data transmitted by the vehicle intelligent unit for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server feeds the evaluation result to the driver and the relevant evaluator.
  • the cloud server analyzes the vehicle driving state information and the vehicle state data, and the step S3 of completing the vehicle safety driving evaluation includes:
  • the cloud server can connect to the public security traffic management system on the network to inquire about the past violation information of the vehicle, and analyze the state of the driver's driving behavior when these violations occur, and whether there is a connection with the violation. If the violation record is overspeed, then the analysis determines whether the acceleration and azimuth change speed of the vehicle at that time is large, and can make more accurate analysis and judgment on the driver's driving habits and even the traffic accident.
  • the real-time sensing vehicle driving state information including the position information, the motion acceleration information, the motion azimuth information, and the step S1 of reading the vehicle state data of the driving computer, further includes:
  • the above evaluation method is based on the fact that one car corresponds to one driver by default, but in many cases, the car may be loaned to relatives and friends by the owner, or the vehicle belongs to a car rental company, etc. In this case, each person needs to be established separately.
  • the driver's driving profile corresponds to the analysis of each driver's driving behavior. Before the driver drives the car, the driver's identity information can be identified and a personal profile can be created.
  • the identification method may be fingerprint recognition of the driver, voice recognition, or more accurate retinal recognition technology, etc., and will not be described here. Differentiating each user of the vehicle can separately predict the driving behavior of each user, and also has the following effects, such as confirming the responsible person of the vehicle as soon as possible, or the suspect of the stolen vehicle.
  • the present invention also provides a vehicle-mounted intelligent unit-based safe driving evaluation system, including a vehicle-mounted intelligent unit 100, a cloud server 200, and a mobile terminal 300.
  • vehicle-mounted intelligent unit 100 includes:
  • the navigation module 110 is configured to collect travel time, travel time, geographic location, and motion speed information of the vehicle;
  • the sensor module 120 includes an acceleration sensor 121 and an azimuth sensor 122 for acquiring motion acceleration information and real-time motion azimuth information of the vehicle;
  • the driving data obtaining module 160 is configured to connect to the driving computer through the CAN bus to acquire state data of the vehicle;
  • the storage module 130 is configured to store various information data of the collected vehicle
  • the transmission module 140 is configured to receive the control instruction of the mobile terminal 300, and upload the vehicle various information data saved by the storage module 130 to the cloud server 200;
  • the data processing module 150 is connected to the navigation module 110, the sensor module 120, the storage module 130, and the driving data acquisition module 160 as a control center of the in-vehicle intelligent unit-based safe driving evaluation system.
  • the vehicle intelligent unit 100 adopted by the technical solution of the present invention collects and records posture data of the vehicle during running, such as geographical position, acceleration, azimuth, unit time mileage, etc., to judge the driving habits of the driver, for example:
  • the acceleration of the vehicle is collected by the acceleration sensor 121 in combination with the mileage traveled by the navigation module 110 in a unit time. If the vehicle is traveling in an urban area or an accident-prone road section, the driving speed and acceleration of the vehicle are large, indicating that the driver has to step on the accelerator and emergency brake. The habit is potentially dangerous; if the vehicle is driving on a high-speed or sparsely populated suburban section, the speed does not exceed the highway speed limit. At this time, the vehicle's speed and acceleration are not a reference for judging its driving habits.
  • the azimuth angle sensor 122 collects the speed of change of the azimuth of the vehicle, and the location of the vehicle collected by the navigation module 110 determines whether the driver likes a sharp turn. If the vehicle travels in an urban area, a high speed or a relatively straight suburban section, the azimuth changes. A high speed indicates that the driver's driving habits are potentially dangerous; if the vehicle is traveling on a winding section, the azimuth change speed is not a good reference for judging its driving habits.
  • the vehicle intelligent unit 100 can also connect with the driving computer ECU of the vehicle through the CAN bus, collect and record the state of the vehicle, such as tire pressure, fuel consumption, working conditions of various subsystems, etc., and collect and record the vehicle driving posture data, together
  • the upload to the cloud server 200 can also be simultaneously transmitted to the driver's mobile terminal 300 such as a mobile phone or a tablet computer for display by the driver.
  • the cloud server 200 receives the data transmitted by the in-vehicle intelligent unit 100 for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server 200 returns the evaluation result to the driver and related.
  • the mobile terminal 300 of the evaluator receives the data transmitted by the in-vehicle intelligent unit 100 for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server 200 returns the evaluation result to the driver and related.
  • the mobile terminal 300 of the evaluator The mobile terminal 300 of the evaluator.
  • the safe driving evaluation system based on the vehicle intelligent unit 100 further includes an identity recognition module (not shown).
  • the vehicle may be loaned to relatives and friends by the owner, or the vehicle belongs to a rental car company, etc.
  • the driver's identity information can be first identified by the identity module before the driver drives, and a personal profile can be created.
  • the driving file Through the driving file, the actual use of the vehicle can be recorded more accurately, which is convenient for subsequent safe driving evaluation.
  • the insurance company can more accurately evaluate the insurance costs of the vehicle according to the daily use of the vehicle.
  • the identity recognition module comprises a fingerprint recognition device and/or a voice recognition device.
  • the identification module can use the fingerprint recognition module, the speech recognition module, or the more precise retina recognition technology, etc., alone or in combination, and will not be described here.
  • the acceleration sensor 121 is a six-axis linear acceleration sensor, which can more accurately determine the running acceleration of the vehicle.
  • the azimuth angle sensor 122 is a three-axis digital magnetometer, which makes the acquisition of the vehicle azimuth change speed more accurate.
  • the navigation module 110 includes a satellite navigation module (not labeled) and/or a wireless base station navigation module (not labeled).
  • the satellite navigation module can use one or more of a Beidou satellite navigation module, a GPS navigation module, or a Glonass navigation module.
  • the wireless base station navigation module also becomes an AGPS navigation module, which is a positioning navigation mode using a wireless signal base station.
  • AGPS navigation module is a positioning navigation mode using a wireless signal base station.
  • the transmission module 140 comprises a Bluetooth module and/or a mobile communication module.
  • the in-vehicle intelligent unit 100 uses the Bluetooth module and the driver's mobile terminal 300 to connect the real-time data for transmitting the vehicle and the analysis result of the cloud server 200, and uses the mobile communication module such as GPRS, 3G, 4G communication module for uploading with the cloud server 200. ,Receive data.

Abstract

The present invention discloses a safe driving evaluation method and system based on a vehicle-mounted intelligent unit. The method comprises the following steps: sensing, in real time, vehicle driving state information comprising location information, motion acceleration information and motion azimuth information, and reading vehicle state data of a vehicle computer; storing the vehicle driving state information and the vehicle state data, and synchronously uploading the vehicle driving state information and the vehicle state data to a cloud server, or simultaneously uploading the vehicle driving state information and the vehicle state data to a mobile terminal; the cloud server analyzing the vehicle driving state information and the vehicle state data to finish vehicle safe driving evaluation; and the cloud server sending the evaluation result to the mobile terminal. According to the safe driving evaluation method based on a vehicle-mounted intelligent unit, various sensors are integrated to collect driving data of a vehicle in real time to evaluate a driving habit of a customer, and comprehensive performances of the vehicle under various statuses are recorded, so that an accurate safe driving evaluation method is provided.

Description

基于车载智能单元的安全驾驶评估方法及系统  Safety driving evaluation method and system based on vehicle intelligent unit
技术领域Technical field
本发明涉及一种基于车载智能单元的安全驾驶评估方法及系统。The invention relates to a safe driving evaluation method and system based on a vehicle intelligent unit.
背景技术Background technique
目前，对于驾驶员的驾驶行为和习惯进行安全驾驶评估大多是通过事后认定的，即当车辆发生违章或事故后，才能对驾驶员进行安全驾驶评估，然后交警部门通过罚款、扣分、教育学习等手段提高驾驶员的安全意识，避免违规行为再次发生。然而，这种传统的事后安全驾驶评估存在滞后性，对预防事故发生有很大的局限性。同样的，保险公司对客户车辆的投保费用主要是依据车辆以往的违章和事故记录，对客户的投保金额评估，计算出下一年度客户的保险费用。然而这种评估方法很不精确且存在滞后性，因此需要解决现有安全驾驶评估方法中滞后性的问题。At present, most of the safe driving assessments of drivers' driving behaviors and habits are determined afterwards. That is, after a violation or accident occurs in the vehicle, the driver can be assessed for safe driving, and then the traffic police department passes the fine, deduction, education and learning. Such means improve the driver's safety awareness and avoid recurrence of violations. However, this traditional post-event safety driving assessment has a lag and has great limitations in preventing accidents. Similarly, the insurance company's insurance coverage for customer vehicles is mainly based on the vehicle's past violations and accident records, the customer's insurance coverage is assessed, and the customer's insurance costs for the next year are calculated. However, this evaluation method is very inaccurate and has hysteresis, so it is necessary to solve the problem of hysteresis in the existing safe driving evaluation method.
发明内容Summary of the invention
本发明的主要目的是提供一种基于车载智能单元的安全驾驶评估方法及系统，根据客户对车辆的具体使用情况和驾驶习惯来进行预估，判断驾驶员的驾驶习惯是否存在潜在的危险性，旨在解决传统安全驾驶评估方法存在滞后性的问题。The main object of the present invention is to provide a safe driving evaluation method and system based on an in-vehicle intelligent unit, and estimate whether the driver's driving habits are potentially dangerous according to the specific use situation and driving habits of the customer. It aims to solve the problem of the lag of the traditional safe driving evaluation method.
为实现上述目的，本发明提出的一种基于车载智能单元的安全驾驶评估方法，包括如下步骤： To achieve the above objective, the present invention provides a safe driving evaluation method based on an in-vehicle intelligent unit, which includes the following steps:
实时感知车辆行驶状态信息，包括位置信息、运动加速度信息、运动方位角信息，以及读取行车电脑的车辆状态数据；Real-time sensing of vehicle driving state information, including position information, motion acceleration information, motion azimuth information, and reading vehicle state data of the driving computer;
存储所述车辆行驶状态信息及车辆状态数据，并同步上传所述车辆行驶状态信息及车辆状态数据至云端服务器，或者同时上传到移动终端；Storing the vehicle driving state information and the vehicle state data, and synchronously uploading the vehicle driving state information and the vehicle state data to the cloud server, or simultaneously uploading to the mobile terminal;
所述云端服务器分析所述车辆行驶状态信息及车辆状态数据，完成车辆安全驾驶评估；The cloud server analyzes the vehicle driving state information and the vehicle state data to complete the vehicle safety driving evaluation;
所述云端服务器将评估结果发送给所述移动终端。The cloud server sends the evaluation result to the mobile terminal.
优选地，所述云端服务器分析所述车辆行驶状态信息及车辆状态数据，完成车辆安全驾驶评估的步骤S3包括： Preferably, the cloud server analyzes the vehicle driving state information and the vehicle state data, and the step S3 of completing the vehicle safety driving evaluation includes:
对比分析车辆在公安交通管理系统的违章信息和存储的车辆行驶状态信息。Compare and analyze the violation information of the vehicle in the public security traffic management system and the stored driving status information of the vehicle.
优选地，所述实时感知车辆行驶状态信息，包括位置信息、运动加速度信息、运动方位角信息，以及读取行车电脑的车辆状态数据的步骤S1之前还包括： Preferably, the real-time sensing vehicle driving state information, including the position information, the motion acceleration information, the motion azimuth information, and the step S1 of reading the vehicle state data of the driving computer, further includes:
识别驾驶员身份信息，建立驾驶员的行车档案。 Identify the driver's identity information and establish the driver's driving profile.
本发明还提供一种基于车载智能单元的安全驾驶评估系统，包括车载智能单元、云端服务器和移动终端，所述车载智能单元包括： The invention also provides a safe driving evaluation system based on an in-vehicle intelligent unit, comprising an in-vehicle intelligent unit, a cloud server and a mobile terminal, wherein the in-vehicle intelligent unit comprises:
导航模块，用于采集车辆的行驶时刻、行驶时长、地理位置和运动速度信息；a navigation module for collecting driving time, driving time, geographical location and moving speed information of the vehicle;
传感器模块，包括加速度传感器和方位角传感器，用于采集车辆的运动加速度信息和实时运动方位角信息；a sensor module, including an acceleration sensor and an azimuth sensor, for collecting motion acceleration information and real-time motion azimuth information of the vehicle;
行车数据获取模块，用于通过CAN总线与行车电脑连接，获取车辆的状态数据；a driving data acquisition module, configured to connect with a driving computer through a CAN bus to acquire state data of the vehicle;
存储模块，用于存储采集到的车辆各种信息数据；a storage module, configured to store various information data of the collected vehicle;
传输模块，用于接收所述移动终端的控制指令，以及上传所述存储模块保存的车辆各种信息数据；a transmission module, configured to receive a control instruction of the mobile terminal, and upload various information data of the vehicle saved by the storage module;
数据处理模块，作为装置的控制中心与所述导航模块、传感器模块、存储模块、行车数据获取模块连接。The data processing module is connected to the navigation module, the sensor module, the storage module, and the driving data acquisition module as a control center of the device.
优选地，所述基于车载智能单元的安全驾驶评估系统还包括身份识别模块。Preferably, the in-vehicle intelligent unit-based safe driving evaluation system further includes an identity recognition module.
优选地，所述身份识别模块包括指纹识别装置和/或语音识别装置。Preferably, the identity recognition module comprises a fingerprint recognition device and/or a voice recognition device.
优选地，所述加速度传感器为六轴线性加速度传感器。Preferably, the acceleration sensor is a six-axis linear acceleration sensor.
优选地，所述方位角传感器为三轴数字磁力计。Preferably, the azimuth sensor is a three-axis digital magnetometer.
优选地，所述导航模块包括卫星导航模块和/或无线基站导航模块。 Preferably, the navigation module comprises a satellite navigation module and/or a wireless base station navigation module.
优选地，所述传输模块包括蓝牙模块和/或移动通讯模块。Preferably, the transmission module comprises a Bluetooth module and/or a mobile communication module.
本发明技术方案中，基于车载智能单元的安全驾驶评估方法，将各种传感器整合一体，实时采集车辆的行驶数据以预估评价客户的驾驶习惯，并且记录了车辆在多种状况下的综合表现，提供了一种精确的安全驾驶评估方法。In the technical solution of the present invention, based on the safe driving evaluation method of the vehicle intelligent unit, various sensors are integrated, the driving data of the vehicle is collected in real time to estimate the driving habit of the customer, and the comprehensive performance of the vehicle under various conditions is recorded. Provides an accurate method of safe driving assessment.
附图说明DRAWINGS
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图示出的结构获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and those skilled in the art can obtain other drawings according to the structures shown in the drawings without any creative work.
图1为本发明基于车载智能单元安全驾驶评估方法的流程图；1 is a flow chart of a method for safe driving evaluation based on an in-vehicle intelligent unit according to the present invention;
图2为本发明安全驾驶评估系统中车载智能单元的结构示意图。2 is a schematic structural view of a vehicle-mounted intelligent unit in the safe driving evaluation system of the present invention.
附图标号说明：
标号 名称 标号 名称
100 车载智能单元 140 传输模块
110 导航模块 150 数据处理模块
120 传感器模块 160 行车数据获取模块
121 加速度传感器 200 云端服务器
122 方位角传感器 300 移动终端
130 存储模块
Description of the reference numerals:
Label name Label name
100 Car smart unit 140 Transmission module
110 Navigation module 150 Data processing module
120 Sensor module 160 Driving data acquisition module
121 Accelerometer 200 Cloud server
122 Azimuth sensor 300 Mobile terminal
130 Storage module
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.
具体实施方式detailed description
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明的一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
需要说明，本发明实施例中所有方向性指示（诸如上、下、左、右、前、后……）仅用于解释在某一特定姿态（如附图所示）下各部件之间的相对位置关系、运动情况等，如果该特定姿态发生改变时，则该方向性指示也相应地随之改变。It should be noted that all directional indications (such as up, down, left, right, front, back, ...) in the embodiments of the present invention are only used to explain between components in a certain posture (as shown in the drawing). Relative positional relationship, motion situation, etc., if the specific posture changes, the directional indication also changes accordingly.
另外，在本发明中如涉及“第一”、“第二”等的描述仅用于描述目的，而不能理解为指示或暗示其相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本发明的描述中，“多个”的含义是至少两个，例如两个，三个等，除非另有明确具体的限定。In addition, the descriptions of "first", "second", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" or "second" may include at least one of the features, either explicitly or implicitly. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless specifically defined otherwise.
在本发明中，除非另有明确的规定和限定，术语“连接”、“固定”等应做广义理解，例如，“固定”可以是固定连接，也可以是可拆卸连接，或成一体；可以是机械连接，也可以是电连接；可以是直接相连，也可以通过中间媒介间接相连，可以是两个元件内部的连通或两个元件的相互作用关系，除非另有明确的限定。对于本领域的普通技术人员而言，可以根据具体情况理解上述术语在本发明中的具体含义。In the present invention, the terms "connected", "fixed" and the like should be understood broadly, unless otherwise clearly defined and limited. For example, "fixed" may be a fixed connection, or may be a detachable connection, or may be integrated; It may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and may be an internal connection of two elements or an interaction relationship of two elements unless explicitly defined otherwise. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood on a case-by-case basis.
另外，本发明各个实施例之间的技术方案可以相互结合，但是必须是以本领域普通技术人员能够实现为基础，当技术方案的结合出现相互矛盾或无法实现时应当认为这种技术方案的结合不存在，也不在本发明要求的保护范围之内。In addition, the technical solutions between the various embodiments of the present invention may be combined with each other, but must be based on the realization of those skilled in the art, and the combination of technical solutions should be considered when the combination of technical solutions is contradictory or impossible to implement. It does not exist and is not within the scope of protection required by the present invention.
请参照图1，本发明提出的一种基于车载智能单元的安全驾驶评估方法，包括如下步骤： Referring to FIG. 1 , a safe driving evaluation method based on a vehicle intelligent unit according to the present invention includes the following steps:
S1、实时感知车辆行驶状态信息，包括位置信息、运动加速度信息、运动方位角信息，以及读取行车电脑的车辆状态数据；S1, real-time sensing vehicle driving state information, including position information, motion acceleration information, motion azimuth information, and reading vehicle state data of the driving computer;
S2、存储所述车辆行驶状态信息及车辆状态数据，并同步上传所述车辆行驶状态信息及车辆状态数据至云端服务器，或者同时上传到移动终端；S2, storing the vehicle driving state information and the vehicle state data, and synchronously uploading the vehicle driving state information and the vehicle state data to the cloud server, or simultaneously uploading to the mobile terminal;
S3、所述云端服务器分析所述车辆行驶状态信息及车辆状态数据，完成车辆安全驾驶评估；S3. The cloud server analyzes the driving state information of the vehicle and the vehicle state data, and completes the vehicle safety driving assessment;
S4、所述云端服务器将评估结果发送给所述移动终端。S4. The cloud server sends the evaluation result to the mobile terminal.
车载智能单元也称Telematics BOX，属于车联网系统中的一部分。车联网系统包含四部分，主机、车载智能单元、手机APP及后台系统（包括云端服务器）。主机主要用于的影音娱乐，以及车辆信息显示；车载智能单元主要用于和后台系统或者手机APP通信，实现手机APP的车辆信息显示与控制。当用户通过手机端APP发送控制命令后，后台系统会发出监控请求指令到车载智能单元，车辆在获取到控制命令后，通过CAN总线发送控制报文并实现对车辆的控制，最后反馈操作结果到用户的手机APP上，仅这个功能可以帮助用户远程启动车辆、打开空调、调整座椅至合适位置等。Car smart unit is also called Telematics BOX, part of the car networking system. The car networking system consists of four parts, the host, the car smart unit, the mobile APP and the back-end system (including the cloud server). The host is mainly used for audio-visual entertainment and vehicle information display; the vehicle-mounted intelligent unit is mainly used for communication with the background system or the mobile APP, and realizes the display and control of the vehicle information of the mobile APP. After the user sends a control command through the mobile terminal APP, the background system will issue a monitoring request command to the vehicle intelligent unit. After obtaining the control command, the vehicle sends the control message through the CAN bus and realizes the control of the vehicle, and finally the feedback operation result is On the user's mobile app, this function only helps the user to remotely start the vehicle, turn on the air conditioner, adjust the seat to the proper position, and so on.
本发明的技术方案应用目前流行的车载智能单元装置，实时采集和记录车辆行驶中的姿态数据，如地理位置、加速度、方位角、单位时间行驶里程等等，以此判断驾驶员的驾驶习惯，比如：The technical solution of the present invention applies the currently popular vehicle intelligent unit device, and collects and records posture data of the vehicle during running, such as geographical position, acceleration, azimuth, unit time mileage, etc., to judge the driving habit of the driver. such as:
通过采集车辆的加速度结合单位时间内的行驶里程，如果车辆行驶在城区或者事故多发路段，车辆的行驶速度和加速度很大则表明驾驶员有猛踩油门或紧急刹车的习惯，存在潜在的危险性；如果车辆行驶在高速或人口较为稀少的郊区路段，车速没有超过公路限速值，此时车辆的行驶速度和加速度很大则不能作为判断其驾驶习惯的参照。By collecting the acceleration of the vehicle and the mileage in the unit time, if the vehicle is driving in an urban area or an accident-prone road section, the driving speed and acceleration of the vehicle are large, indicating that the driver has the habit of slamming the throttle or emergency braking, which is potentially dangerous. If the vehicle is driving on a high-speed or sparsely populated suburban section, the speed does not exceed the highway speed limit. At this time, the vehicle's speed and acceleration are not a reference for judging its driving habits.
通过采集车辆方位角的变化速度结合车辆所处的地理位置判断驾驶员是否喜欢急转弯，如果车辆行驶在城区、高速或较为平直的郊区路段，方位角变化速度很大则表明驾驶员的驾驶习惯存在潜在的危险性；如果车辆行驶在蜿蜒曲折的路段，此时方位角变化速度很大则不能作为判断其驾驶习惯的参照。By collecting the speed of change of the azimuth of the vehicle and determining the driver's preference for the sharp turn in combination with the geographical position of the vehicle, if the vehicle is traveling in an urban, high-speed or relatively flat suburban section, the azimuth change speed is large indicating the driver's driving. Habits are potentially dangerous; if the vehicle is traveling on a winding road, the azimuth change speed is not a good reference for judging its driving habits.
车载智能单元同时还能通过CAN总线和车辆的行车电脑ECU连接，采集和记录车辆的状态，如胎压、油耗、各子系统的工况等等，汇合采集记录的车辆行驶姿态数据，一起上传到云端服务器，也可以同时传输到驾驶员的移动终端如手机、平板电脑上显示出来供驾驶员参考。The vehicle intelligent unit can also connect with the driving computer ECU of the vehicle through the CAN bus to collect and record the state of the vehicle, such as tire pressure, fuel consumption, working conditions of various subsystems, etc., and collect and record the vehicle driving posture data, and upload them together. To the cloud server, it can also be transmitted to the driver's mobile terminal such as mobile phone and tablet for display by the driver.
云端服务器接收到车载智能单元传输的数据进行分析，得出驾驶员的驾驶习惯判断结果，可以想到的，应该会有一个评价数值，最终云端服务器再将评估结果反馈给驾驶员以及相关评估人员的移动终端。The cloud server receives the data transmitted by the vehicle intelligent unit for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server feeds the evaluation result to the driver and the relevant evaluator. Mobile terminal.
优选地，所述云端服务器分析所述车辆行驶状态信息及车辆状态数据，完成车辆安全驾驶评估的步骤S3包括： Preferably, the cloud server analyzes the vehicle driving state information and the vehicle state data, and the step S3 of completing the vehicle safety driving evaluation includes:
S31、对比分析车辆的违章信息和存储的车辆行驶状态信息。S31. Compare and analyze the violation information of the vehicle and the stored driving state information of the vehicle.
云端服务器在分析车载智能单元上传的数据同时，可以在网络上连接公安交通管理系统查询车辆以往的违章信息，分析这些违章发生时，驾驶员的驾驶行为是何种状态，是否和违章存在联系，如违章记录为超速，则分析判断车辆在该时间的加速度和方位角变化速度是否较大，对驾驶员的驾驶习惯，乃至交通事故的追责可以做出更加精确的分析判断。While analyzing the data uploaded by the vehicle intelligent unit, the cloud server can connect to the public security traffic management system on the network to inquire about the past violation information of the vehicle, and analyze the state of the driver's driving behavior when these violations occur, and whether there is a connection with the violation. If the violation record is overspeed, then the analysis determines whether the acceleration and azimuth change speed of the vehicle at that time is large, and can make more accurate analysis and judgment on the driver's driving habits and even the traffic accident.
优选地，所述实时感知车辆行驶状态信息，包括位置信息、运动加速度信息、运动方位角信息，以及读取行车电脑的车辆状态数据的步骤 S1之前还包括： Preferably, the real-time sensing vehicle driving state information, including the position information, the motion acceleration information, the motion azimuth information, and the step S1 of reading the vehicle state data of the driving computer, further includes:
S0、识别驾驶员身份信息，建立驾驶员的行车档案。 S0, identifying driver identity information, and establishing a driver's driving profile.
上述的评估方法都是默认一辆车对应一名驾驶员的情况，但是很多情况是车可能被车主借给了亲友，或者车辆属于租车公司等等，这种情况下就需要单独建立每一名驾驶员的行车档案，对应分析每一名驾驶员的驾驶行为。可以在驾驶员开车前，先识别驾驶员的身份信息，建立个人档案。识别方式可以是驾驶员的指纹识别、语音识别，或者更加精确的视网膜识别技术等等，这里不再赘述。将车辆的每一个使用者加以区别化记录能够单独对每个使用者的驾驶行为进行预估，同时也会有以下效果，比如尽快确认肇事车辆的责任人，或者对被盗车辆的犯罪嫌疑人进行甄别并报警等等。另外，通过建立行车档案，还可以根据档案作为基础数据应用于很多其他领域，协助判断与分析结果。例如保险公司可以根据车辆的日常使用情况，更加精确的对车辆的保险费用进行评估。The above evaluation method is based on the fact that one car corresponds to one driver by default, but in many cases, the car may be loaned to relatives and friends by the owner, or the vehicle belongs to a car rental company, etc. In this case, each person needs to be established separately. The driver's driving profile corresponds to the analysis of each driver's driving behavior. Before the driver drives the car, the driver's identity information can be identified and a personal profile can be created. The identification method may be fingerprint recognition of the driver, voice recognition, or more accurate retinal recognition technology, etc., and will not be described here. Differentiating each user of the vehicle can separately predict the driving behavior of each user, and also has the following effects, such as confirming the responsible person of the vehicle as soon as possible, or the suspect of the stolen vehicle. Check and alarm and so on. In addition, by establishing driving files, it is also possible to apply the files as basic data to many other fields to assist in judging and analyzing the results. For example, an insurance company can more accurately estimate the insurance cost of a vehicle based on its daily use.
本发明还提供一种基于车载智能单元的安全驾驶评估系统，包括车载智能单元100、云端服务器200和移动终端300，所述车载智能单元100包括： The present invention also provides a vehicle-mounted intelligent unit-based safe driving evaluation system, including a vehicle-mounted intelligent unit 100, a cloud server 200, and a mobile terminal 300. The vehicle-mounted intelligent unit 100 includes:
导航模块110，用于采集车辆的行驶时刻、行驶时长、地理位置和运动速度信息；The navigation module 110 is configured to collect travel time, travel time, geographic location, and motion speed information of the vehicle;
传感器模块120，包括加速度传感器121和方位角传感器122，用于采集车辆的运动加速度信息和实时运动方位角信息；The sensor module 120 includes an acceleration sensor 121 and an azimuth sensor 122 for acquiring motion acceleration information and real-time motion azimuth information of the vehicle;
行车数据获取模块160，用于通过CAN总线与行车电脑连接，获取车辆的状态数据；The driving data obtaining module 160 is configured to connect to the driving computer through the CAN bus to acquire state data of the vehicle;
存储模块130，用于存储采集到的车辆各种信息数据；The storage module 130 is configured to store various information data of the collected vehicle;
传输模块140，用于接收所述移动终端300的控制指令，以及上传所述存储模块130保存的车辆各种信息数据到云端服务器200；The transmission module 140 is configured to receive the control instruction of the mobile terminal 300, and upload the vehicle various information data saved by the storage module 130 to the cloud server 200;
数据处理模块150，作为基于车载智能单元的安全驾驶评估系统的控制中心与所述导航模块110、传感器模块120、存储模块130、行车数据获取模块160连接。The data processing module 150 is connected to the navigation module 110, the sensor module 120, the storage module 130, and the driving data acquisition module 160 as a control center of the in-vehicle intelligent unit-based safe driving evaluation system.
本发明的技术方案采用的车载智能单元100，实时采集和记录车辆行驶中的姿态数据，如地理位置、加速度、方位角、单位时间行驶里程等等，以此判断驾驶员的驾驶习惯，比如：The vehicle intelligent unit 100 adopted by the technical solution of the present invention collects and records posture data of the vehicle during running, such as geographical position, acceleration, azimuth, unit time mileage, etc., to judge the driving habits of the driver, for example:
通过加速度传感器121采集车辆的加速度结合导航模块110采集的单位时间内的行驶里程，如果车辆行驶在城区或者事故多发路段，车辆的行驶速度和加速度很大则表明驾驶员有猛踩油门和紧急刹车的习惯，存在潜在的危险性；如果车辆行驶在高速或人口较为稀少的郊区路段，车速没有超过公路限速值，此时车辆的行驶速度和加速度很大则不能作为判断其驾驶习惯的参照。The acceleration of the vehicle is collected by the acceleration sensor 121 in combination with the mileage traveled by the navigation module 110 in a unit time. If the vehicle is traveling in an urban area or an accident-prone road section, the driving speed and acceleration of the vehicle are large, indicating that the driver has to step on the accelerator and emergency brake. The habit is potentially dangerous; if the vehicle is driving on a high-speed or sparsely populated suburban section, the speed does not exceed the highway speed limit. At this time, the vehicle's speed and acceleration are not a reference for judging its driving habits.
通过方位角传感器122采集车辆方位角的变化速度结合导航模块110采集的车辆所处的地理位置判断驾驶员是否喜欢急转弯，如果车辆行驶在城区、高速或较为平直的郊区路段，方位角变化速度很大则表明驾驶员的驾驶习惯存在潜在的危险性；如果车辆行驶在蜿蜒曲折的路段，此时方位角变化速度很大则不能作为判断其驾驶习惯的参照。The azimuth angle sensor 122 collects the speed of change of the azimuth of the vehicle, and the location of the vehicle collected by the navigation module 110 determines whether the driver likes a sharp turn. If the vehicle travels in an urban area, a high speed or a relatively straight suburban section, the azimuth changes. A high speed indicates that the driver's driving habits are potentially dangerous; if the vehicle is traveling on a winding section, the azimuth change speed is not a good reference for judging its driving habits.
车载智能单元100同时还能通过CAN总线和车辆的行车电脑ECU连接，采集和记录车辆的状态，如胎压、油耗、各子系统的工况等等，汇合采集记录的车辆行驶姿态数据，一起上传到云端服务器200，也可以同时传输到驾驶员的移动终端300如手机、平板电脑上显示出来供驾驶员参考。The vehicle intelligent unit 100 can also connect with the driving computer ECU of the vehicle through the CAN bus, collect and record the state of the vehicle, such as tire pressure, fuel consumption, working conditions of various subsystems, etc., and collect and record the vehicle driving posture data, together The upload to the cloud server 200 can also be simultaneously transmitted to the driver's mobile terminal 300 such as a mobile phone or a tablet computer for display by the driver.
云端服务器200接收到车载智能单元100传输的数据进行分析，得出驾驶员的驾驶习惯判断结果，可以想到的，应该会有一个评价数值，最终云端服务器200再将评估结果反馈给驾驶员以及相关评估人员的移动终端300。The cloud server 200 receives the data transmitted by the in-vehicle intelligent unit 100 for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server 200 returns the evaluation result to the driver and related. The mobile terminal 300 of the evaluator.
优选地，所述基于车载智能单元100的安全驾驶评估系统还包括身份识别模块（图未示）。Preferably, the safe driving evaluation system based on the vehicle intelligent unit 100 further includes an identity recognition module (not shown).
很多时候，车辆可能被车主借给了亲友，或者车辆属于租车公司等等，这种情况下就需要单独建立每一名驾驶员的行车档案，对应分析每一名驾驶员的驾驶行为。可以在驾驶员开车前，通过身份识别模块先识别驾驶员的身份信息，建立个人档案。通过行车档案，能够对车辆的实际使用情况更加精确的记录，便于后续的安全驾驶评估。此外，保险公司可以根据车辆的日常使用情况，更加准确的对车辆的保险费用进行评估。In many cases, the vehicle may be loaned to relatives and friends by the owner, or the vehicle belongs to a rental car company, etc. In this case, it is necessary to separately establish the driving file of each driver, and analyze the driving behavior of each driver. The driver's identity information can be first identified by the identity module before the driver drives, and a personal profile can be created. Through the driving file, the actual use of the vehicle can be recorded more accurately, which is convenient for subsequent safe driving evaluation. In addition, the insurance company can more accurately evaluate the insurance costs of the vehicle according to the daily use of the vehicle.
优选地，所述身份识别模块包括指纹识别装置和/或语音识别装置。Preferably, the identity recognition module comprises a fingerprint recognition device and/or a voice recognition device.
身份识别模块可以单独使用或组合使用指纹识别模块、语音识别模块，或者更加精确的视网膜识别技术等等，这里不再赘述。The identification module can use the fingerprint recognition module, the speech recognition module, or the more precise retina recognition technology, etc., alone or in combination, and will not be described here.
优选地，所述加速度传感器121为六轴线性加速度传感器，对车辆的行驶加速度能够更为精准的判断。Preferably, the acceleration sensor 121 is a six-axis linear acceleration sensor, which can more accurately determine the running acceleration of the vehicle.
优选地，所述方位角传感器122为三轴数字磁力计，使车辆方位角变化速度的采集更加准确。Preferably, the azimuth angle sensor 122 is a three-axis digital magnetometer, which makes the acquisition of the vehicle azimuth change speed more accurate.
优选地，所述导航模块110包括卫星导航模块（未标示）和/或无线基站导航模块（未标示）。Preferably, the navigation module 110 includes a satellite navigation module (not labeled) and/or a wireless base station navigation module (not labeled).
卫星导航模块可以使用北斗卫星导航模块、GPS导航模块或者Glonass导航模块中的一种或者多种。无线基站导航模块也成为AGPS导航模块，是采用无线信号基站的定位导航模式。在空旷的室外使用卫星导航模块的效果更好，而在室内或者车辆驶入桥梁、隧道、涵洞时无线基站导航模块的效果更好，为了更加精确的实现导航定位，可将两者结合使用，The satellite navigation module can use one or more of a Beidou satellite navigation module, a GPS navigation module, or a Glonass navigation module. The wireless base station navigation module also becomes an AGPS navigation module, which is a positioning navigation mode using a wireless signal base station. The use of satellite navigation modules in an open outdoor environment is better, and the wireless base station navigation module works better when indoors or vehicles enter bridges, tunnels, and culverts. In order to achieve more accurate navigation and positioning, the two can be combined.
优选地，所述传输模块140包括蓝牙模块和/或移动通讯模块。Preferably, the transmission module 140 comprises a Bluetooth module and/or a mobile communication module.
车载智能单元100采用蓝牙模块和驾驶员的移动终端300连接用于传输车辆行驶实时数据以及云端服务器200的分析结果，同时采用移动通讯模块如GPRS、3G、4G通讯模块用于和云端服务器200上传、接收数据。The in-vehicle intelligent unit 100 uses the Bluetooth module and the driver's mobile terminal 300 to connect the real-time data for transmitting the vehicle and the analysis result of the cloud server 200, and uses the mobile communication module such as GPRS, 3G, 4G communication module for uploading with the cloud server 200. ,Receive data.
以上所述仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是在本发明的发明构思下，利用本发明说明书及附图内容所作的等效结构变换，或直接/间接运用在其他相关的技术领域均包括在本发明的专利保护范围内。The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the invention, and the equivalent structural transformation, or direct/indirect use, of the present invention and the contents of the drawings are used in the inventive concept of the present invention. It is included in the scope of the patent protection of the present invention in other related technical fields.

Claims (11)

  1. 一种基于车载智能单元的安全驾驶评估方法，其特征在于，包括如下步骤： A safe driving evaluation method based on a vehicle intelligent unit, comprising the following steps:
    实时感知车辆行驶状态信息，包括位置信息、运动加速度信息、运动方位角信息，以及读取行车电脑的车辆状态数据；Real-time sensing of vehicle driving state information, including position information, motion acceleration information, motion azimuth information, and reading vehicle state data of the driving computer;
    存储所述车辆行驶状态信息及车辆状态数据，并同步上传所述车辆行驶状态信息及车辆状态数据至云端服务器，或者同时上传到移动终端；Storing the vehicle driving state information and the vehicle state data, and synchronously uploading the vehicle driving state information and the vehicle state data to the cloud server, or simultaneously uploading to the mobile terminal;
    所述云端服务器分析所述车辆行驶状态信息及车辆状态数据，完成车辆安全驾驶评估；The cloud server analyzes the vehicle driving state information and the vehicle state data to complete the vehicle safety driving evaluation;
    所述云端服务器将评估结果发送给所述移动终端。The cloud server sends the evaluation result to the mobile terminal.
  2. 如权利要求1所述的基于车载智能单元的安全驾驶评估方法，其特征在于，所述云端服务器分析所述车辆行驶状态信息及车辆状态数据，完成车辆安全驾驶评估的步骤S3包括：The safe driving evaluation method based on the vehicle intelligent unit according to claim 1, wherein the cloud server analyzes the vehicle driving state information and the vehicle state data, and the step S3 of completing the vehicle safety driving evaluation includes:
    对比分析车辆的违章信息和存储的车辆行驶状态信息。The vehicle violation information and the stored vehicle driving state information are compared and analyzed.
  3. 如权利要求1所述的基于车载智能单元的安全驾驶评估方法，其特征在于，所述实时感知车辆行驶状态信息，包括位置信息、运动加速度信息、运动方位角信息，以及读取行车电脑的车辆状态数据的步骤S1之前还包括：The in-vehicle intelligent unit-based safe driving evaluation method according to claim 1, wherein the real-time sensing vehicle driving state information includes position information, motion acceleration information, motion azimuth information, and a vehicle that reads a driving computer. The step S1 of the status data also includes:
    识别驾驶员身份信息，建立驾驶员的行车档案。 Identify the driver's identity information and establish the driver's driving profile.
  4. 如权利要求2所述的基于车载智能单元的安全驾驶评估方法，其特征在于，所述实时感知车辆行驶状态信息，包括位置信息、运动加速度信息、运动方位角信息，以及读取行车电脑的车辆状态数据的步骤S1之前还包括：The in-vehicle intelligent unit-based safe driving evaluation method according to claim 2, wherein the real-time sensing vehicle driving state information includes position information, motion acceleration information, motion azimuth information, and a vehicle that reads a driving computer. The step S1 of the status data also includes:
    识别驾驶员身份信息，建立驾驶员的行车档案。 Identify the driver's identity information and establish the driver's driving profile.
  5. 一种基于车载智能单元的安全驾驶评估系统，其特征在于，包括车载智能单元、云端服务器和移动终端，所述车载智能单元包括：A safe driving evaluation system based on a vehicle intelligent unit, comprising: a vehicle intelligent unit, a cloud server and a mobile terminal, wherein the vehicle intelligent unit comprises:
    导航模块，用于采集车辆的行驶时刻、行驶时长、地理位置和运动速度信息；a navigation module for collecting driving time, driving time, geographical location and moving speed information of the vehicle;
    传感器模块，包括加速度传感器和方位角传感器，用于采集车辆的运动加速度信息和实时运动方位角信息；a sensor module, including an acceleration sensor and an azimuth sensor, for collecting motion acceleration information and real-time motion azimuth information of the vehicle;
    行车数据获取模块，用于通过CAN总线与行车电脑连接，获取车辆的状态数据；a driving data acquisition module, configured to connect with a driving computer through a CAN bus to acquire state data of the vehicle;
    存储模块，用于存储采集到的车辆各种信息数据；a storage module, configured to store various information data of the collected vehicle;
    传输模块，用于接收所述移动终端的控制指令，以及上传所述存储模块保存的车辆各种信息数据到云端服务器；a transmission module, configured to receive a control instruction of the mobile terminal, and upload various information data of the vehicle saved by the storage module to the cloud server;
    数据处理模块，作为基于车载智能单元的安全驾驶评估系统的控制中心与所述导航模块、传感器模块、存储模块、行车数据获取模块连接。The data processing module is connected to the navigation module, the sensor module, the storage module, and the driving data acquisition module as a control center of the safe driving evaluation system based on the vehicle intelligent unit.
  6. 如权利要求5所述的基于车载智能单元的安全驾驶评估系统，其特征在于，所述基于车载智能单元的安全驾驶评估系统还包括身份识别模块。The vehicle-mounted intelligent unit-based safe driving evaluation system according to claim 5, wherein the vehicle-mounted intelligent unit-based safe driving evaluation system further comprises an identity recognition module.
  7. 如权利要求5所述的基于车载智能单元的安全驾驶评估系统，其特征在于，所述身份识别模块包括指纹识别装置和/或语音识别装置。The in-vehicle intelligent unit-based safe driving evaluation system according to claim 5, wherein the identity recognition module comprises a fingerprint recognition device and/or a voice recognition device.
  8. 如权利要求5所述的基于车载智能单元的安全驾驶评估系统，其特征在于，所述加速度传感器为六轴线性加速度传感器。The in-vehicle intelligent unit-based safe driving evaluation system according to claim 5, wherein the acceleration sensor is a six-axis linear acceleration sensor.
  9. 如权利要求5所述的基于车载智能单元的安全驾驶评估系统，其特征在于，所述方位角传感器为三轴数字磁力计。The in-vehicle intelligent unit-based safe driving evaluation system according to claim 5, wherein the azimuth angle sensor is a three-axis digital magnetometer.
  10. 如权利要求5所述的基于车载智能单元的安全驾驶评估系统，其特征在于，所述导航模块包括卫星导航模块和/或无线基站导航模块。The in-vehicle intelligent unit-based safe driving evaluation system according to claim 5, wherein the navigation module comprises a satellite navigation module and/or a wireless base station navigation module.
  11. 如权利要求5所述的基于车载智能单元的安全驾驶评估系统，其特征在于，所述传输模块包括蓝牙模块和/或移动通讯模块The vehicle-mounted intelligent unit-based safe driving evaluation system according to claim 5, wherein the transmission module comprises a Bluetooth module and/or a mobile communication module
PCT/CN2016/105634 2016-08-11 2016-11-14 Safe driving evaluation method and system based on vehicle-mounted intelligent unit WO2018028069A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201610658046.1A CN106297283A (en) 2016-08-11 2016-08-11 Safe driving appraisal procedure based on vehicle intelligent unit and system
CN201610658046.1 2016-08-11

Publications (1)

Publication Number Publication Date
WO2018028069A1 true WO2018028069A1 (en) 2018-02-15

Family

ID=57668484

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/105634 WO2018028069A1 (en) 2016-08-11 2016-11-14 Safe driving evaluation method and system based on vehicle-mounted intelligent unit

Country Status (2)

Country Link
CN (1) CN106297283A (en)
WO (1) WO2018028069A1 (en)

Cited By (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108320554A (en) * 2018-04-09 2018-07-24 刘军 A kind of intelligent network connection vehicle service system
CN108614566A (en) * 2018-06-20 2018-10-02 北京智行者科技有限公司 A kind of operating method of parallel driving
CN109903209A (en) * 2019-02-26 2019-06-18 江苏赛清科技有限公司 A kind of paper industry solid waste transportation management system
CN110765122A (en) * 2019-11-07 2020-02-07 深圳鼎然信息科技有限公司 Method, device and system for realizing data acquisition and driving evaluation based on SDK
CN110793537A (en) * 2019-10-08 2020-02-14 上海博泰悦臻网络技术服务有限公司 Navigation path recommendation method, vehicle machine and vehicle
CN110866176A (en) * 2018-08-21 2020-03-06 上海博泰悦臻网络技术服务有限公司 Vehicle, vehicle-mounted terminal, user image construction method and information push method thereof
CN111324119A (en) * 2020-02-20 2020-06-23 驭势（上海）汽车科技有限公司 Control method for intelligently driving logistics vehicle, user terminal and storage medium
CN111510303A (en) * 2020-04-20 2020-08-07 张文文 Motor vehicle driving detection method and system
CN111601276A (en) * 2020-06-03 2020-08-28 北京踏歌智行科技有限公司 Mining area unmanned transportation system based on 5G and unloading cooperative control method thereof
CN112017324A (en) * 2019-05-31 2020-12-01 上海凌晗电子科技有限公司 Real-time driving information interaction system and method
CN112073490A (en) * 2020-08-31 2020-12-11 安徽中科美络信息技术有限公司 Driving event monitoring method and system based on Internet of things technology
CN112215111A (en) * 2020-09-30 2021-01-12 易显智能科技有限责任公司 Method and related device for evaluating direction control capability of motor vehicle driver
CN112232158A (en) * 2020-09-30 2021-01-15 易显智能科技有限责任公司 Training cheating verification system and method based on driving behavior characteristics
CN112329657A (en) * 2020-11-10 2021-02-05 易显智能科技有限责任公司 Method and related device for sensing upper body movement of driver
CN112329655A (en) * 2020-11-10 2021-02-05 易显智能科技有限责任公司 Method and device for evaluating direction perception capability of driver
CN112351419A (en) * 2020-06-02 2021-02-09 北京车与车科技有限公司 Vehicle insurance method based on non-hardware equipment paying according to actual application
CN112613406A (en) * 2020-12-24 2021-04-06 吉林大学 Commercial vehicle multi-dimensional operation evaluation method based on big data
CN112712010A (en) * 2020-12-28 2021-04-27 科大讯飞股份有限公司 Method, device and equipment for evaluating safe driving of common vehicle driver
CN113141392A (en) * 2021-03-22 2021-07-20 南京宏森电子科技有限公司 Man-vehicle interconnection interactive system based on LoRaWAN network
CN113194442A (en) * 2021-05-09 2021-07-30 深圳市迈鸿车联网服务有限公司 Internet of vehicles interactive platform of wisdom car
CN113859250A (en) * 2021-10-14 2021-12-31 泰安北航科技园信息科技有限公司 Intelligent automobile information security threat detection system based on driving behavior abnormity identification
CN114019844A (en) * 2021-10-13 2022-02-08 江苏中海昇物联科技有限公司 Engineering pile machine monitoring system and monitoring method applying same
CN114312801A (en) * 2020-09-30 2022-04-12 宝能汽车集团有限公司 Vehicle driving behavior processing method and device, storage medium and computer equipment
CN114506334A (en) * 2020-10-29 2022-05-17 上海汽车集团股份有限公司 Vehicle control method and related device
CN114659603A (en) * 2022-03-02 2022-06-24 同济大学 Road surface dynamic weighing system based on friction nanometer power generation effect
CN114694368A (en) * 2020-12-28 2022-07-01 比亚迪股份有限公司 Vehicle management and control system
CN114841679A (en) * 2022-06-29 2022-08-02 陕西省君凯电子科技有限公司 Intelligent management system for vehicle running data
CN115127577A (en) * 2022-09-02 2022-09-30 南通立信自动化有限公司 Vehicle-mounted navigation control system and control method
CN115240293A (en) * 2022-07-07 2022-10-25 广西玉柴机器股份有限公司 Vehicle road driving data analysis method
CN115277373A (en) * 2022-06-06 2022-11-01 中智行(苏州)科技有限公司 Automatic driving line control redundancy system based on vehicle-road coordination
CN115601854A (en) * 2022-09-29 2023-01-13 上海蕴业信息科技有限公司（Cn） Driving behavior recording and analyzing equipment and system
CN116663831A (en) * 2023-06-02 2023-08-29 湖北诚佰网络科技有限公司 Vehicle transportation management method and system based on vehicle-mounted terminal
CN117078117A (en) * 2023-10-17 2023-11-17 广东省嗒上车物联科技有限公司 Fork truck workload determination method based on Internet of things, internet of things server and medium

Families Citing this family (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106864453A (en) * 2017-02-08 2017-06-20 杨铭域 Driving and environmental control system and method based on big data
CN113525265A (en) * 2017-05-15 2021-10-22 成都中技智慧企业管理咨询有限公司 Interactive system and method for automatically driving automobile and people
CN107389055A (en) * 2017-07-19 2017-11-24 天津市广通信息技术工程股份有限公司 System for tracing running attitude of muck truck
CN107705600A (en) * 2017-09-13 2018-02-16 陕西千山航空电子有限责任公司 A kind of driving behavior realtime analysis system
CN109598812A (en) * 2017-09-30 2019-04-09 比亚迪股份有限公司 The recording method and device of vehicle travel, vehicle and storage medium
CN107757471A (en) * 2017-09-30 2018-03-06 上海爱优威软件开发有限公司 Safe driving prompting method and mobile terminal
CN108091139A (en) * 2018-01-23 2018-05-29 余绍志 A kind of traffic safety automatic evaluation system based on big data
CN108537915A (en) * 2018-02-09 2018-09-14 深圳华龙讯达信息技术股份有限公司 Vehicle information management system and method
CN108437997A (en) * 2018-03-12 2018-08-24 北京汽车研究总院有限公司 A kind of driving information sharing method, device, vehicle and network server
CN108873042A (en) * 2018-06-13 2018-11-23 深圳市腾兴车联科技有限公司 Vehicle intelligent terminal system and the method that planning driving path is recorded based on inertial navigation algorithm
CN108944941A (en) * 2018-07-13 2018-12-07 上海擎感智能科技有限公司 A kind of driving habit real-time feedback method and system, car-mounted terminal based on car-mounted terminal
CN109061706A (en) * 2018-07-17 2018-12-21 江苏新通达电子科技股份有限公司 A method of the vehicle drive behavioural analysis based on T-Box and real-time road map datum
CN108961473A (en) * 2018-08-07 2018-12-07 长安大学 A kind of vehicle-state assessment method for early warning based on intelligent network connection automobile control centre
CN109325705A (en) * 2018-10-11 2019-02-12 北京三驰惯性科技股份有限公司 A kind of driving habit methods of marking and system based on inertia integration technology
CN109448387B (en) * 2018-10-17 2021-06-29 四川德鑫航空设备股份有限公司 Illegal driving judgment method based on track
CN109376665B (en) * 2018-10-29 2021-10-22 重庆科技学院 Taxi driver's driving behavior evaluation system based on crowd sensing
CN109788030B (en) 2018-12-17 2021-08-03 北京百度网讯科技有限公司 Unmanned vehicle data processing method, device and system and storage medium
CN111353801A (en) * 2018-12-21 2020-06-30 上海博泰悦臻网络技术服务有限公司 Second-hand vehicle evaluation method and system, storage medium and cloud server
CN109839106B (en) * 2019-02-22 2021-07-23 上海蔚来汽车有限公司 Driving simulation system, and evaluation method and system of vehicle-mounted information entertainment system
CN112150648A (en) * 2019-06-28 2020-12-29 因诺卡有限公司 Digital operation recording device
CN110557734A (en) * 2019-08-14 2019-12-10 交控科技股份有限公司 Vehicle-mounted OTA remote system
CN110827152A (en) * 2019-10-16 2020-02-21 上海擎感智能科技有限公司 Insurance evaluation method, system and server
CN111665831B (en) * 2019-12-17 2023-08-22 摩登汽车有限公司 Vehicle navigation method, device, equipment and unmanned automobile
CN111225067A (en) * 2020-03-06 2020-06-02 麻景鹏 Method for remotely controlling vehicle running
CN111292022A (en) * 2020-03-26 2020-06-16 公安部交通管理科学研究所 Evaluation method and system for testing automatic driving automobile
CN111896267A (en) * 2020-06-22 2020-11-06 杭州电子科技大学 Vehicle forward one-key safety detection and evaluation system and method
CN111976875A (en) * 2020-07-22 2020-11-24 摩拜(北京)信息技术有限公司 Control method and device for safely using bicycle, electronic equipment and vehicle system
CN112258852A (en) * 2020-10-22 2021-01-22 济南浪潮高新科技投资发展有限公司 Intelligent license plate fixing system and method
CN112277954A (en) * 2020-11-02 2021-01-29 麻涛涛 Method and device for comprehensively monitoring vehicle safety and personnel safety driving
CN112532695A (en) * 2020-11-13 2021-03-19 南京酷沃智行科技有限公司 Driving scoring system and method based on cloud big data platform
CN112406871A (en) * 2020-11-30 2021-02-26 广西玉柴机器股份有限公司 Intelligent driving system and method
CN112653726A (en) * 2020-12-07 2021-04-13 国网北京市电力公司 Vehicle-mounted terminal, operation method thereof, computer-readable storage medium, and processor
CN112937439B (en) * 2021-03-25 2022-08-26 东风汽车集团股份有限公司 Bus driver driving behavior early warning system and method
CN113299158B (en) * 2021-05-10 2023-04-18 易显智能科技有限责任公司 Steady teaching method and system for driving
CN113997888A (en) * 2021-10-19 2022-02-01 轻橙时代(深圳)科技有限责任公司 Intelligent automobile control driving system
CN114220194A (en) * 2021-11-25 2022-03-22 上汽通用五菱汽车股份有限公司 Driving safety monitoring and evaluating method, system and storage medium
CN114954299B (en) * 2022-05-19 2023-02-17 李诣坤 Fuel consumption early warning method and system for reducing fuel consumption of automobile
CN116168547B (en) * 2022-09-09 2023-12-26 保利长大工程有限公司 Intelligent intersection vehicle identification system
CN116295644B (en) * 2023-03-20 2024-03-29 陕西省君凯电子科技有限公司 Vehicle energy consumption monitoring method
CN116821805A (en) * 2023-06-28 2023-09-29 运脉云技术有限公司 Vehicle service platform system for monitoring driving behavior and driving behavior monitoring method
CN117253377B (en) * 2023-10-20 2024-03-22 石家庄市力弛科技开发有限公司 Intelligent vehicle information recognition and detection system and method based on Internet of things

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140080100A1 (en) * 2005-06-01 2014-03-20 Allstate Insurance Company Motor vehicle operating data collection analysis
CN204303041U (en) * 2014-11-13 2015-04-29 西红柿科技（武汉）有限公司 A kind of vehicle data gathering-device for safe driving assessment
CN104648283A (en) * 2015-01-12 2015-05-27 重庆银钢科技（集团）有限公司 Vehicle driving behavior analysis and evaluation system
CN204463246U (en) * 2014-12-15 2015-07-08 北京九五智驾信息技术股份有限公司 Based on the driving behavior analysis system of car networking
CN104978777A (en) * 2014-04-11 2015-10-14 比亚迪股份有限公司 System, device and method for analyzing driving behavior
CN204895347U (en) * 2015-04-22 2015-12-23 北京九五智驾信息技术股份有限公司 Driving behavior analysis system

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101937421A (en) * 2009-07-03 2011-01-05 上海大潮电子技术有限公司 Method for collecting real-time operation information of vehicle for operation security risk assessment
KR101526679B1 (en) * 2013-08-23 2015-06-05 현대자동차주식회사 System for providing safety driving information
CN103770644A (en) * 2014-01-20 2014-05-07 深圳市元征科技股份有限公司 Method and system for obtaining data of driving activities
CN104580373A (en) * 2014-12-15 2015-04-29 北京九五智驾信息技术股份有限公司 Driving analysis system based on internet of vehicles
CN105374211B (en) * 2015-12-09 2018-01-05 敏驰信息科技（上海）有限公司 The system and method for driving risk and aiding in vehicle insurance price is calculated based on multi-source data
CN105513358B (en) * 2016-01-04 2018-07-03 烟台中正新技术有限公司 Driving behavior assessment and vehicle running state monitoring and pre-warning system and method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140080100A1 (en) * 2005-06-01 2014-03-20 Allstate Insurance Company Motor vehicle operating data collection analysis
CN104978777A (en) * 2014-04-11 2015-10-14 比亚迪股份有限公司 System, device and method for analyzing driving behavior
CN204303041U (en) * 2014-11-13 2015-04-29 西红柿科技（武汉）有限公司 A kind of vehicle data gathering-device for safe driving assessment
CN204463246U (en) * 2014-12-15 2015-07-08 北京九五智驾信息技术股份有限公司 Based on the driving behavior analysis system of car networking
CN104648283A (en) * 2015-01-12 2015-05-27 重庆银钢科技（集团）有限公司 Vehicle driving behavior analysis and evaluation system
CN204895347U (en) * 2015-04-22 2015-12-23 北京九五智驾信息技术股份有限公司 Driving behavior analysis system

Cited By (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108320554A (en) * 2018-04-09 2018-07-24 刘军 A kind of intelligent network connection vehicle service system
CN108614566A (en) * 2018-06-20 2018-10-02 北京智行者科技有限公司 A kind of operating method of parallel driving
CN110866176A (en) * 2018-08-21 2020-03-06 上海博泰悦臻网络技术服务有限公司 Vehicle, vehicle-mounted terminal, user image construction method and information push method thereof
CN109903209A (en) * 2019-02-26 2019-06-18 江苏赛清科技有限公司 A kind of paper industry solid waste transportation management system
CN112017324A (en) * 2019-05-31 2020-12-01 上海凌晗电子科技有限公司 Real-time driving information interaction system and method
CN110793537A (en) * 2019-10-08 2020-02-14 上海博泰悦臻网络技术服务有限公司 Navigation path recommendation method, vehicle machine and vehicle
CN110765122A (en) * 2019-11-07 2020-02-07 深圳鼎然信息科技有限公司 Method, device and system for realizing data acquisition and driving evaluation based on SDK
CN110765122B (en) * 2019-11-07 2022-05-24 深圳鼎然信息科技有限公司 Method, device and system for realizing data acquisition and driving evaluation based on SDK
CN111324119A (en) * 2020-02-20 2020-06-23 驭势（上海）汽车科技有限公司 Control method for intelligently driving logistics vehicle, user terminal and storage medium
CN111510303A (en) * 2020-04-20 2020-08-07 张文文 Motor vehicle driving detection method and system
CN112351419A (en) * 2020-06-02 2021-02-09 北京车与车科技有限公司 Vehicle insurance method based on non-hardware equipment paying according to actual application
CN111601276A (en) * 2020-06-03 2020-08-28 北京踏歌智行科技有限公司 Mining area unmanned transportation system based on 5G and unloading cooperative control method thereof
CN111601276B (en) * 2020-06-03 2022-04-05 北京踏歌智行科技有限公司 Mining area unmanned transportation system based on 5G and unloading cooperative control method thereof
CN112073490A (en) * 2020-08-31 2020-12-11 安徽中科美络信息技术有限公司 Driving event monitoring method and system based on Internet of things technology
CN112232158A (en) * 2020-09-30 2021-01-15 易显智能科技有限责任公司 Training cheating verification system and method based on driving behavior characteristics
CN114312801A (en) * 2020-09-30 2022-04-12 宝能汽车集团有限公司 Vehicle driving behavior processing method and device, storage medium and computer equipment
CN112215111A (en) * 2020-09-30 2021-01-12 易显智能科技有限责任公司 Method and related device for evaluating direction control capability of motor vehicle driver
CN114506334A (en) * 2020-10-29 2022-05-17 上海汽车集团股份有限公司 Vehicle control method and related device
CN112329655A (en) * 2020-11-10 2021-02-05 易显智能科技有限责任公司 Method and device for evaluating direction perception capability of driver
CN112329657A (en) * 2020-11-10 2021-02-05 易显智能科技有限责任公司 Method and related device for sensing upper body movement of driver
CN112329657B (en) * 2020-11-10 2022-07-01 易显智能科技有限责任公司 Method and related device for sensing upper body movement of driver
CN112613406A (en) * 2020-12-24 2021-04-06 吉林大学 Commercial vehicle multi-dimensional operation evaluation method based on big data
CN112712010A (en) * 2020-12-28 2021-04-27 科大讯飞股份有限公司 Method, device and equipment for evaluating safe driving of common vehicle driver
CN114694368A (en) * 2020-12-28 2022-07-01 比亚迪股份有限公司 Vehicle management and control system
CN113141392A (en) * 2021-03-22 2021-07-20 南京宏森电子科技有限公司 Man-vehicle interconnection interactive system based on LoRaWAN network
CN113194442A (en) * 2021-05-09 2021-07-30 深圳市迈鸿车联网服务有限公司 Internet of vehicles interactive platform of wisdom car
CN114019844A (en) * 2021-10-13 2022-02-08 江苏中海昇物联科技有限公司 Engineering pile machine monitoring system and monitoring method applying same
CN113859250A (en) * 2021-10-14 2021-12-31 泰安北航科技园信息科技有限公司 Intelligent automobile information security threat detection system based on driving behavior abnormity identification
CN114659603A (en) * 2022-03-02 2022-06-24 同济大学 Road surface dynamic weighing system based on friction nanometer power generation effect
CN114659603B (en) * 2022-03-02 2024-04-23 同济大学 Road surface dynamic weighing system based on friction nano power generation effect
CN115277373A (en) * 2022-06-06 2022-11-01 中智行(苏州)科技有限公司 Automatic driving line control redundancy system based on vehicle-road coordination
CN114841679A (en) * 2022-06-29 2022-08-02 陕西省君凯电子科技有限公司 Intelligent management system for vehicle running data
CN115240293A (en) * 2022-07-07 2022-10-25 广西玉柴机器股份有限公司 Vehicle road driving data analysis method
CN115240293B (en) * 2022-07-07 2023-09-19 广西玉柴机器股份有限公司 Vehicle road running data analysis method
CN115127577A (en) * 2022-09-02 2022-09-30 南通立信自动化有限公司 Vehicle-mounted navigation control system and control method
CN115601854A (en) * 2022-09-29 2023-01-13 上海蕴业信息科技有限公司（Cn） Driving behavior recording and analyzing equipment and system
CN115601854B (en) * 2022-09-29 2024-02-23 上海蕴业信息科技有限公司 Driving behavior record analysis equipment and system
CN116663831A (en) * 2023-06-02 2023-08-29 湖北诚佰网络科技有限公司 Vehicle transportation management method and system based on vehicle-mounted terminal
CN117078117A (en) * 2023-10-17 2023-11-17 广东省嗒上车物联科技有限公司 Fork truck workload determination method based on Internet of things, internet of things server and medium
CN117078117B (en) * 2023-10-17 2024-02-23 广东省嗒上车物联科技有限公司 Fork truck workload determination method based on Internet of things, internet of things server and medium

Also Published As

Publication number Publication date
CN106297283A (en) 2017-01-04

Similar Documents

Publication Publication Date Title
WO2018028069A1 (en) Safe driving evaluation method and system based on vehicle-mounted intelligent unit
KR101769102B1 (en) Vehicle operation record analysis system and method connected to server of insurance company by using the OBD and smart phone
US9747729B2 (en) Methods, systems, and apparatuses for consumer telematics
US8330593B2 (en) Monitoring vehicle activity
CN104730494A (en) Mobile Gunshot Detection
CN202798806U (en) Vehicle-mounted terminal
CN105270293A (en) Vehicle maintenance reminding method based on cloud service and vehicle-mounted terminal device adopted in vehicle maintenance reminding method
JP4337084B2 (en) Remote fault diagnosis system
JP2002319087A (en) Method, system and device for diagnosing vehicle driving characteristic device for controlling vehicle, and computer program therefor
JP3657835B2 (en) Information providing method and information providing system
CA2844673A1 (en) Vehicle monitoring system with automatic driver identification
CN204870848U (en) Intelligence driving system control terminal
US10899358B2 (en) Vehicle driver monitoring system and method for capturing driver performance parameters
KR20150069623A (en) Real-time integrated vehicles management system and method thereof
TWI613108B (en) Driving behavior analysis system and method for accident
CN111818160A (en) Vehicle-mounted machine equipment
CN112466144A (en) Road network traffic situation management and control system
JP3861811B2 (en) Driving information processing device
CN202448983U (en) Safety monitoring system for school bus
WO2020241971A1 (en) Traffic accident management device and traffic accident management method
TW201741898A (en) System and method for UBI or fleet management by utilizing cloud driving video recording information
RU2308385C2 (en) Device for estimating quality of automobile driving
WO2019181328A1 (en) Map-providing server and map-providing method
WO2020086026A2 (en) Monitoring, controlling and reporting driver actions by automatically following traffic rules
CN111383437A (en) Intelligent vehicle management service platform

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16912523

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16912523

Country of ref document: EP

Kind code of ref document: A1