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CN106297340A - A kind of driving vehicle pre-warning system for monitoring and method - Google Patents

A kind of driving vehicle pre-warning system for monitoring and method Download PDF

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Publication number
CN106297340A
CN106297340A CN201610679795.2A CN201610679795A CN106297340A CN 106297340 A CN106297340 A CN 106297340A CN 201610679795 A CN201610679795 A CN 201610679795A CN 106297340 A CN106297340 A CN 106297340A
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information
vehicle
driver
server
prediction
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黄麒元
朱俊
王致杰
王东伟
杜彬
王浩清
周泽坤
吕金都
王鸿
胡江
孙丛丛
朱谷雨
刘水
白颖
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Shanghai Dianji University
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
    • G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/164—Centralised systems, e.g. external to vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Traffic Control Systems (AREA)

Abstract

本发明提出一种行驶车辆安全监测预警系统与方法，包括车辆信息监测系统、服务器、数据分析中心、预测模块和报警模块。本系统将车辆和驾驶人员作为一个分析整体，即将驾驶员操作车辆的行驶数据和和车辆的实时信息，全都上传服务器进行分析，从而实现预测和监测预警。

The invention proposes a vehicle safety monitoring and early warning system and method, including a vehicle information monitoring system, a server, a data analysis center, a prediction module and an alarm module. This system analyzes the vehicle and the driver as a whole, that is, the driving data of the driver's vehicle and the real-time information of the vehicle are all uploaded to the server for analysis, so as to realize prediction, monitoring and early warning.

Description

一种行驶车辆安全监测预警系统与方法A driving vehicle safety monitoring and early warning system and method

技术领域technical field

本发明涉及智能交通领域，尤其涉及到一种行驶车辆安全监测预警系统与方法。The invention relates to the field of intelligent transportation, in particular to a safety monitoring and early warning system and method for driving vehicles.

背景技术Background technique

随着公路运输作为最重要的地面运输方式，在社会进步和经济发展中有着举足轻重的作用。但是国内外普遍存在的问题是，随着汽车保有量的快速增长，交通事故频发，事故引起的道路交通拥挤现象涌现，严重制约经济发展和社会和谐。近几年，我国车辆和驾驶人保持快速增长，虽然每年交通事故导致的伤亡人数虽有减少，但依然是一个庞大的数字。由于驾驶人的认知和决策失误所造成的交通事故是造成悲剧的主要组成。我国交通事故的统计结果也显示，由于驾驶人造成的交通事故占90％左右。为此，智能交通系统被提出，得到了迅速地发展并已经在部分城市的高速公路系统中成功实施。实践证明，ITS是解决目前交通问题的理想方案，它旨在采用智能的交通管理控制技术，充分地利用现有的交通设施资源，有效地缓解交通拥堵，减少交通事故的发生，给出行者以舒适安全的交通环境。As the most important ground transportation mode, road transportation plays a pivotal role in social progress and economic development. However, the common problem at home and abroad is that with the rapid growth of car ownership, traffic accidents occur frequently, and road traffic congestion caused by accidents emerges, which seriously restricts economic development and social harmony. In recent years, my country's vehicles and drivers have maintained rapid growth. Although the number of casualties caused by traffic accidents has decreased each year, it is still a huge number. Traffic accidents caused by driver's cognitive and decision-making errors are the main components of tragedy. The statistical results of traffic accidents in my country also show that traffic accidents caused by drivers account for about 90%. For this reason, intelligent traffic system was proposed, developed rapidly and has been successfully implemented in the expressway system of some cities. Practice has proved that ITS is an ideal solution to the current traffic problems. It aims to adopt intelligent traffic management and control technology, make full use of existing traffic facility resources, effectively alleviate traffic congestion, reduce traffic accidents, and give travelers more Comfortable and safe traffic environment.

在该领域的研究中，驾驶人的心理--生理特征、反应能力、感知特性对车辆运行状态具有一定程度的影响，但是以往的研究大多是分析驾驶人众多心理和生理特性中的某些因素，通过建立与交通事故的关系来对驾驶行为特性进行研究。实际考虑在道路环境以及周边车辆的影响下，驾驶人会受到多种因素共同影响，如果仅仅从驾驶人的某项特性角度分析，其研究结果和交通安全的应用难以衔接。In the research in this field, the driver's psychological-physiological characteristics, response ability, and perception characteristics have a certain degree of influence on the vehicle's operating state, but most of the previous research is to analyze some factors in the driver's many psychological and physiological characteristics. , to study the characteristics of driving behavior by establishing the relationship with traffic accidents. Practical considerations Under the influence of the road environment and surrounding vehicles, the driver will be affected by many factors. If the analysis is only from the perspective of a certain characteristic of the driver, it is difficult to connect the research results with the application of traffic safety.

目前，针对驾驶行为研究的生理-心理模型被提出，通过设定驾驶人心理的反应阈值，对驾驶人的感知特性进行描述；智能驾驶模型(DIM)的方程被提出，模型包含一个加速策略与制动策略，涵盖加速、减速和跟车运行三种驾驶状态；也有很多学者通过模拟道路交通条件对驾驶行为、驾驶人习惯及驾驶人心理状态进行了相关分析和研究。At present, a physiological-psychological model for driving behavior research has been proposed, which describes the driver's perceptual characteristics by setting the driver's psychological response threshold; the equation of the intelligent driving model (DIM) is proposed, and the model includes an acceleration strategy and The braking strategy covers the three driving states of acceleration, deceleration and car-following; many scholars have also conducted related analysis and research on driving behavior, driver habits and driver's psychological state by simulating road traffic conditions.

因此，我们有必要对这样一种结构进行改善，以克服上述缺陷。Therefore, it is necessary for us to improve such a structure to overcome the above-mentioned defects.

发明内容Contents of the invention

本发明考虑驾驶人员以及环境等诸多因素的影响下，提出了一种行驶车辆安全监测预警系统，结合交通海量的历史数据和实时行驶信息，进行行驶轨迹和事故以及拥堵的预测，从而为驾驶人员提供变道、减速和启停预警提示。Considering the influence of many factors such as drivers and the environment, the present invention proposes a driving vehicle safety monitoring and early warning system, which combines massive historical traffic data and real-time driving information to predict driving trajectories, accidents, and congestion, thereby providing drivers with Provide warning prompts for lane change, deceleration, and start and stop.

本发明为解决其技术问题所采用的技术方案是：The technical scheme that the present invention adopts for solving its technical problem is:

一种行驶车辆安全监测预警系统，包括A driving vehicle safety monitoring and early warning system, comprising

一车辆信息监测系统，所述车辆信息监测系统具有与控制中心服务器通讯的第一通讯单元，所述车辆信息监测系统用于收集车辆大小、车载传感器数据、GPS位置信息、驾驶人信息、车辆启停速度、车辆加速度和时间、与周围车辆的相对位置和相对速度的信息；A vehicle information monitoring system, the vehicle information monitoring system has a first communication unit communicating with the control center server, the vehicle information monitoring system is used to collect vehicle size, vehicle sensor data, GPS position information, driver information, vehicle start Information on stopping speed, vehicle acceleration and time, relative position and relative speed to surrounding vehicles;

一服务器，所述服务器包括背景数据库、实时信息数据库和用于接收第一通讯单元所发出信息的接收器一，所述服务器具有与数据分析中心通讯的第二通讯单元；A server, the server includes a background database, a real-time information database and a receiver for receiving information sent by the first communication unit, the server has a second communication unit communicating with the data analysis center;

一数据分析中心，所述数据分析中心具有与预测模块通讯的第三通讯单元和用于接收第二通讯单元所发出信息的接收器二，所述数据分析中心用于将控制中心服务器中的背景数据库和实时信息数据库进行分析，为预测提供依据；A data analysis center, the data analysis center has a third communication unit communicating with the prediction module and a receiver two for receiving the information sent by the second communication unit, the data analysis center is used to use the background in the control center server Database and real-time information database for analysis to provide basis for prediction;

一预测模块，所述预测模块具有与预警模块通讯的第四通讯单元和用于接收第三通讯单元所发出信息的接收器三，所述预测模块用于给驾驶员提供车辆事故发生预警信息以及为驾驶员提供可靠行驶的依据；A prediction module, the prediction module has a fourth communication unit communicating with the early warning module and a receiver three for receiving information sent by the third communication unit, the prediction module is used to provide the driver with early warning information of vehicle accidents and Provide the driver with a basis for reliable driving;

一预警模块，所述预警模块具有用于接收第四通讯单元所发出信息的接收器四，所述预警模块用于向驾驶员警示。An early warning module, the early warning module has a receiver 4 for receiving information sent by the fourth communication unit, and the early warning module is used for warning the driver.

进一步的，所述预警模块为警示灯或蜂鸣器。Further, the warning module is a warning light or a buzzer.

另一方面，本发明提供了一直行驶车辆安全监测预警系统方法，所述方法包括如下步骤：In another aspect, the present invention provides a method for a safety monitoring and early warning system for a vehicle that is always running, and the method includes the following steps:

步骤1.当车辆进入网络覆盖路段时，通过公共网络与远程的服务器通信，实时进行信息传输，并存储在数据库中。车内网络进行车辆的信息监测，例如车辆大小、车载传感器数据，GPS位置信息，驾驶人信息，车辆启停速度、加速度和时间，与周围车辆的相对位置和相对速度等信息，通过网络上传到控制中心的服务器。服务器中包括背景数据库和实时数据库。实时信息数据库中包含上述所提到的各个车辆的实时GPS信息、车间距、车速和加速度等，背景数据库为环境气象信息，路段地图信息、各类型道路事故信息、某路段车辆行驶概况信息等；Step 1. When the vehicle enters the road section covered by the network, it communicates with the remote server through the public network, transmits information in real time, and stores it in the database. The in-vehicle network monitors vehicle information, such as vehicle size, vehicle sensor data, GPS location information, driver information, vehicle start-stop speed, acceleration and time, relative position and relative speed with surrounding vehicles, etc. Control Center server. The server includes a background database and a real-time database. The real-time information database includes the above-mentioned real-time GPS information, inter-vehicle distance, vehicle speed and acceleration of each vehicle mentioned above, and the background database includes environmental meteorological information, road section map information, various types of road accident information, vehicle driving profile information of a certain road section, etc.;

步骤2.数据分析中心是将服务器中实时数据库中信息进行分析处理，得到的车辆信息特征，如车辆的制动新能，各类型道路驾驶员反应时间等。再将两种数据库信息进行综合分析，得到某路段车辆发生拥堵和事故的概率和紧急情况下驾驶员最长反应时间、最小安全距离，以及得到该路况下车辆的预车况，例如夏日在拥堵路况，通过天气数据库信息和路况信息进行分析，得到车辆发动机温度等未来趋势，从而为预测提供依据；Step 2. The data analysis center analyzes and processes the information in the real-time database in the server, and obtains vehicle information characteristics, such as the new braking performance of the vehicle, and the reaction time of drivers of various types of roads. Then, the two kinds of database information are comprehensively analyzed to obtain the probability of vehicle congestion and accidents in a certain road section, the longest reaction time of the driver in emergency situations, the minimum safety distance, and the pre-vehicle conditions of vehicles under this road condition, such as summer in congestion Road conditions, through the analysis of weather database information and road condition information, to obtain future trends such as vehicle engine temperature, so as to provide a basis for prediction;

步骤3.预测模块主要执行两个工作，一个是实时预测后面一定时间内，全部车辆的位置，并分析可能发生的事故，一旦发现有冲突点，就立即向相关车辆发生预警信息，从而避免事故的发生；二是把最新采集的结果与前面预测的结果进行比较，修正预测模型。最后将预测得到的最佳行车轨迹和事故、拥堵预测概率下发给该车辆，为驾驶员提供可靠行驶的依据；Step 3. The prediction module mainly performs two tasks. One is to predict the position of all vehicles in a certain period of time in real time, and analyze possible accidents. Once a conflict point is found, it will immediately send an early warning message to the relevant vehicle to avoid accidents. The second is to compare the latest collected results with the previous predicted results to revise the forecast model. Finally, the predicted optimal driving trajectory and accident and congestion prediction probabilities are sent to the vehicle to provide the driver with a basis for reliable driving;

步骤4.预警是指通过数据分析中心得到的结果与驾驶员行车实时情况进行对比，一旦实时行进情况超过分析的结果值，则实行向车内驾驶员报警，同时如果车辆情况欠佳，也会提高警告指示。同时向其后面的跟随车也发出危险警示。Step 4. Early warning refers to the comparison between the results obtained by the data analysis center and the real-time driving situation of the driver. Once the real-time driving situation exceeds the analyzed result value, an alarm will be issued to the driver in the car. Raise warning indication. At the same time, it also sends out a danger warning to the following car behind it.

本发明的新颖性在于：从驾驶人决策及操纵失误是造成事故为主要原因的角度，进行行车安全监测预警，提高驾驶安全性。The novelty of the present invention lies in: from the perspective that the driver's decision-making and manipulation errors are the main causes of accidents, the driving safety monitoring and early warning is carried out to improve driving safety.

本发明的创造性在于：着重对驾驶车辆的信息分析，通过驾驶时的车间距，GPS路况，行车速度和车辆启停等信息，加之分析得到驾驶人反应时间，得到该车辆的最小安全距离的安全行驶标准等数据，从而进行预测和提前预警。The inventiveness of the present invention lies in: emphasizing on the information analysis of the driving vehicle, through the inter-vehicle distance when driving, GPS road conditions, driving speed and vehicle start-stop and other information, coupled with the analysis to obtain the driver's reaction time, to obtain the safety of the minimum safe distance of the vehicle Data such as driving standards can be used to make predictions and early warnings.

本发明的实用性在于：在智能行驶过程中，为车辆灵活的自适应的进行路况预测和危险预警，提高驾驶的安全性能。The practicability of the present invention lies in: during the intelligent driving process, the vehicle can flexibly and self-adaptively carry out road condition prediction and danger warning, so as to improve driving safety performance.

本发明的优点在于：The advantages of the present invention are:

针对车辆安全预警的实时性、高效性需求，结合车联网环境下车辆数据快速传输的特点，针对道路上驾驶行为差异，从车辆的行驶状态及运行轨迹上研究驾驶行为的变化，对驾驶行为的特性进行深入分析，从而通过服务器针对该道路的海量历史和实况数据进行研究，优化智能交通系统(ITS)、实现轨迹预测和实时安全预警。In view of the real-time and high-efficiency requirements of vehicle safety early warning, combined with the characteristics of rapid transmission of vehicle data in the Internet of Vehicles environment, and in view of the differences in driving behavior on the road, the changes in driving behavior are studied from the driving status and trajectory of the vehicle, and the impact of driving behavior is analyzed. In-depth analysis of the characteristics of the road, so as to conduct research on the massive historical and live data of the road through the server, optimize the intelligent transportation system (ITS), realize trajectory prediction and real-time safety warning.

这种方法能够提高智能交通系统的有效性，能够充分考虑个体车辆的驾驶特性，比较准确的实时预测和实现监测预警，提高驾驶的安全性和可靠性。This method can improve the effectiveness of intelligent transportation systems, fully consider the driving characteristics of individual vehicles, make more accurate real-time predictions and realize monitoring and early warning, and improve driving safety and reliability.

附图说明Description of drawings

图1是本发明提出的一种行驶车辆安全监测预警系统的结构示意图。Fig. 1 is a schematic structural diagram of a vehicle safety monitoring and early warning system proposed by the present invention.

具体实施方式detailed description

为了使本发明实现的技术手段、创作特征、达成目的与功效易于明白了解，下面结合图示与具体实施例，进一步阐述本发明。In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further elaborated below in conjunction with illustrations and specific embodiments.

如图1所示，本发明提出的一种行驶车辆安全监测预警系统，包括As shown in Figure 1, a kind of driving vehicle safety monitoring and early warning system proposed by the present invention includes

一车辆信息监测系统，所述车辆信息监测系统具有与控制中心服务器通讯的第一通讯单元，所述车辆信息监测系统用于收集车辆大小、车载传感器数据、GPS位置信息、驾驶人信息、车辆启停速度、车辆加速度和时间、与周围车辆的相对位置和相对速度的信息；A vehicle information monitoring system, the vehicle information monitoring system has a first communication unit communicating with the control center server, the vehicle information monitoring system is used to collect vehicle size, vehicle sensor data, GPS position information, driver information, vehicle start Information on stopping speed, vehicle acceleration and time, relative position and relative speed to surrounding vehicles;

一服务器，所述服务器包括背景数据库、实时信息数据库和用于接收第一通讯单元所发出信息的接收器一，所述服务器具有与数据分析中心通讯的第二通讯单元；A server, the server includes a background database, a real-time information database and a receiver for receiving information sent by the first communication unit, the server has a second communication unit communicating with the data analysis center;

一数据分析中心，所述数据分析中心具有与预测模块通讯的第三通讯单元和用于接收第二通讯单元所发出信息的接收器二，所述数据分析中心用于将控制中心服务器中的背景数据库和实时信息数据库进行分析，为预测提供依据；A data analysis center, the data analysis center has a third communication unit communicating with the prediction module and a receiver two for receiving the information sent by the second communication unit, the data analysis center is used to use the background in the control center server Database and real-time information database for analysis to provide basis for prediction;

一预测模块，所述预测模块具有与预警模块通讯的第四通讯单元和用于接收第三通讯单元所发出信息的接收器三，所述预测模块用于给驾驶员提供车辆事故发生预警信息以及为驾驶员提供可靠行驶的依据；A prediction module, the prediction module has a fourth communication unit communicating with the early warning module and a receiver three for receiving information sent by the third communication unit, the prediction module is used to provide the driver with early warning information of vehicle accidents and Provide the driver with a basis for reliable driving;

一预警模块，所述预警模块具有用于接收第四通讯单元所发出信息的接收器四，所述预警模块用于向驾驶员警示。An early warning module, the early warning module has a receiver 4 for receiving information sent by the fourth communication unit, and the early warning module is used for warning the driver.

进一步的，所述预警模块为警示灯或蜂鸣器。Further, the warning module is a warning light or a buzzer.

另一方面，本发明提供了一直行驶车辆安全监测预警系统方法，所述方法包括如下步骤：In another aspect, the present invention provides a method for a safety monitoring and early warning system for a vehicle that is always running, and the method includes the following steps:

步骤1.当车辆进入网络覆盖路段时，通过公共网络与远程的服务器通信，实时进行信息传输，并存储在数据库中。车内网络进行车辆的信息监测，例如车辆大小、车载传感器数据，GPS位置信息，驾驶人信息，车辆启停速度、加速度和时间，与周围车辆的相对位置和相对速度等信息，通过网络上传到控制中心的服务器。服务器中包括背景数据库和实时数据库。实时信息数据库中包含上述所提到的各个车辆的实时GPS信息、车间距、车速和加速度等，背景数据库为环境气象信息，路段地图信息、各类型道路事故信息、某路段车辆行驶概况信息等；Step 1. When the vehicle enters the road section covered by the network, it communicates with the remote server through the public network, transmits information in real time, and stores it in the database. The in-vehicle network monitors vehicle information, such as vehicle size, vehicle sensor data, GPS location information, driver information, vehicle start-stop speed, acceleration and time, relative position and relative speed with surrounding vehicles, etc. Control Center server. The server includes a background database and a real-time database. The real-time information database includes the above-mentioned real-time GPS information, inter-vehicle distance, vehicle speed and acceleration of each vehicle mentioned above, and the background database includes environmental meteorological information, road section map information, various types of road accident information, vehicle driving profile information of a certain road section, etc.;

步骤2.数据分析中心是将服务器中实时数据库中信息进行分析处理，得到的车辆信息特征，如车辆的制动新能，各类型道路驾驶员反应时间等。再将两种数据库信息进行综合分析，得到某路段车辆发生拥堵和事故的概率和紧急情况下驾驶员最长反应时间、最小安全距离，以及得到该路况下车辆的预车况，例如夏日在拥堵路况，通过天气数据库信息和路况信息进行分析，得到车辆发动机温度等未来趋势，从而为预测提供依据；Step 2. The data analysis center analyzes and processes the information in the real-time database in the server, and obtains vehicle information characteristics, such as the new braking performance of the vehicle, and the reaction time of drivers of various types of roads. Then, the two kinds of database information are comprehensively analyzed to obtain the probability of vehicle congestion and accidents in a certain road section, the longest reaction time of the driver in emergency situations, the minimum safety distance, and the pre-vehicle conditions of vehicles under this road condition, such as summer in congestion Road conditions, through the analysis of weather database information and road condition information, to obtain future trends such as vehicle engine temperature, so as to provide a basis for prediction;

步骤3.预测模块主要执行两个工作，一个是实时预测后面一定时间内，全部车辆的位置，并分析可能发生的事故，一旦发现有冲突点，就立即向相关车辆发生预警信息，从而避免事故的发生；二是把最新采集的结果与前面预测的结果进行比较，修正预测模型。最后将预测得到的最佳行车轨迹和事故、拥堵预测概率下发给该车辆，为驾驶员提供可靠行驶的依据；Step 3. The prediction module mainly performs two tasks. One is to predict the position of all vehicles in a certain period of time in real time, and analyze possible accidents. Once a conflict point is found, it will immediately send an early warning message to the relevant vehicle to avoid accidents. The second is to compare the latest collected results with the previous predicted results to revise the forecast model. Finally, the predicted optimal driving trajectory and accident and congestion prediction probabilities are sent to the vehicle to provide the driver with a basis for reliable driving;

步骤4.预警是指通过数据分析中心得到的结果与驾驶员行车实时情况进行对比，一旦实时行进情况超过分析的结果值，则实行向车内驾驶员报警，同时如果车辆情况欠佳，也会提高警告指示。同时向其后面的跟随车也发出危险警示。Step 4. Early warning refers to the comparison between the results obtained by the data analysis center and the real-time driving situation of the driver. Once the real-time driving situation exceeds the analyzed result value, an alarm will be issued to the driver in the car. Raise warning indication. At the same time, it also sends out a danger warning to the following car behind it.

本发明所提出的通讯单元和接收器可以从现实生活实际应用中选择。The communication unit and receiver proposed by the present invention can be selected from real life practical applications.

本发明所提出的预测模块、数据分析中心、服务器和车辆信息监测系统可以从现实生活实际应用中选择。The prediction module, data analysis center, server and vehicle information monitoring system proposed by the present invention can be selected from practical applications in real life.

以上显示和描述了本发明的基本原理、主要特征和本发明的优点。本行业的技术人员应该了解，本发明不受上述实施例的限制，上述实施例和说明书中描述的只是说明本发明的原理，在不脱离本发明精神和范围的前提下本发明还会有各种变化和改进，这些变化和改进都落入要求保护的本发明范围内。本发明要求保护范围由所附的权利要求书及其等同物界定。The basic principles, main features and advantages of the present invention have been shown and described above. Those skilled in the industry should understand that the present invention is not limited by the above-mentioned embodiments, and that described in the above-mentioned embodiments and the description only illustrates the principles of the present invention, and the present invention also has various aspects without departing from the spirit and scope of the present invention. Variations and improvements all fall within the scope of the claimed invention. The protection scope of the present invention is defined by the appended claims and their equivalents.

Claims (3)

1. a driving vehicle pre-warning system for monitoring, it is characterised in that: include
One information of vehicles monitoring system, described information of vehicles monitoring system has and the first communication of control centre's server communication Unit, described information of vehicles monitoring system is used for collecting vehicle size, onboard sensor data, GPS position information, driver's letter Breath, vehicle start and stop speed, vehicle acceleration position relative with surrounding vehicles with the time and the information of relative velocity；
One server, described server includes background database, real time information data storehouse and for receiving the first communication unit institute Sending the receptor one of information, described server has the second communication unit with data analysis center communication；
One data analysis center, described data analysis center has the 3rd communication unit with prediction module communication and for receiving The receptor two of the second sent information of communication unit, described data analysis center is for by the background in control centre's server Data base and real time information data storehouse are analyzed, and provide foundation for prediction；
One prediction module, described prediction module has the 4th communication unit with warning module communication and for receiving the 3rd communication The receptor three of the sent information of unit, described prediction module for driver provide car accident prediction occurring information and The foundation of reliable traveling is provided for driver；
One warning module, described warning module has the receptor four for receiving the 4th the sent information of communication unit, described Warning module is for driver alert.
A kind of driving vehicle pre-warning system for monitoring the most according to claim 1, it is characterised in that: described warning module For warning lamp or buzzer.
A kind of driving vehicle safety monitoring method for early warning the most according to claim 1, it is characterised in that described method bag Include:
Step 1., when vehicle enters network coverage section, by public network and long-range server communication, carries out letter in real time Breath transmission, and be stored in data base.In-vehicle network carries out the information monitoring of vehicle, such as vehicle size, onboard sensor number According to, GPS position information, drivers information, vehicle start and stop speed, acceleration and time, position relative with surrounding vehicles and phase To information such as speed, uploaded to the server of control centre by network.Server includes background database and real time data Storehouse.Real time information data storehouse comprises real time GPS information, following distance, speed and the acceleration of above-mentioned each vehicle being previously mentioned Deng, background database is environment weather information, and section cartographic information, all types of road accident information, certain section vehicle travel general Condition information etc.；
Step 2. data analysis center is to be analyzed information in real-time data base in server processing, the information of vehicles obtained Feature, energy as new in the braking of vehicle, all types of driving path person's response time etc..Again two kinds of database informations are carried out total score Analysis, obtains certain section vehicle and gets congestion and the probability of accident and in emergency circumstances driver's maximum response time, minimum safe Distance, and obtain the pre-vehicle condition of vehicle under these road conditions, such as summer in road conditions of blocking up, by weather data storehouse information and road conditions Information is analyzed, and obtains the future trends such as vehicle motor temperature, thus provides foundation for prediction；
Step 3. prediction module mainly performs two work, and one is after real-time estimate in certain time, the position of rolling stock Put, and analyze contingent accident, be once found to have conflict point, the most immediately to associated vehicle prediction occurring information, thus keep away Exempt from the generation of accident；Two is that the result of up-to-date collection is compared with the result above predicted, revises forecast model.Finally will Optimal wheelpath and accident, the prediction probability that blocks up that prediction obtains are handed down to this vehicle, provide reliable traveling for driver Foundation；
Step 4. early warning refers to that the result obtained by data analysis center is contrasted with driver drives vehicle real-time condition, once Traveling situation exceedes the end value of analysis in real time, then carry out driver in car and report to the police, if vehicle condition is not good enough simultaneously, also can Improve warning instruction.Also send dangerous warning to Following Car behind simultaneously.
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CN118553107A (en) * 2024-07-26 2024-08-27 云盾智慧安全科技有限公司 Network-connected automobile data safety warning method and system based on data analysis

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Application publication date: 20170104