CN105448088A - Traffic condition monitoring method and system based on big data - Google Patents

Traffic condition monitoring method and system based on big data Download PDF

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Publication number
CN105448088A
CN105448088A CN201510804521.7A CN201510804521A CN105448088A CN 105448088 A CN105448088 A CN 105448088A CN 201510804521 A CN201510804521 A CN 201510804521A CN 105448088 A CN105448088 A CN 105448088A
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vehicle
data
cloud server
condition monitoring
big data
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刘永哲
翟西斌
于治楼
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Inspur Group Co Ltd
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Inspur Group Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096805Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
    • G08G1/096811Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard

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

Abstract

本发明涉及交通状况监测方法技术领域,特别涉及一种基于大数据的交通状况监测方法及系统。本发明的一种基于大数据的交通状况监测方法及系统,其利用车辆上传的位置信息来共享交通事故或是道路施工的信息,并可以实时提醒当前路况,这样可以对减少道路堵塞,缓解交通压力有很大的帮助。

The invention relates to the technical field of traffic condition monitoring methods, in particular to a traffic condition monitoring method and system based on big data. A traffic condition monitoring method and system based on big data of the present invention, which uses the location information uploaded by vehicles to share information on traffic accidents or road construction, and can remind the current road conditions in real time, which can reduce road congestion and ease traffic Stress helps a lot.

Description

一种基于大数据的交通状况监测方法及系统A traffic condition monitoring method and system based on big data

技术领域 technical field

本发明涉及交通状况监测方法技术领域,特别涉及一种基于大数据的交通状况监测方法及系统。 The invention relates to the technical field of traffic condition monitoring methods, in particular to a traffic condition monitoring method and system based on big data.

背景技术 Background technique

现有技术下,随着城市车辆越来越多,道路越来越拥挤,堵车现象越来越严重,严重影响着人们的日常生活。 Under the prior art, with more and more urban vehicles, roads become more and more congested, and traffic jams become more and more serious, seriously affecting people's daily life.

大数据分析相比于传统的数据仓库应用,具有数据量大、查询分析复杂等特点。大数据的4个“V”,或者说特点有四个层面:第一,数据体量巨大。从TB级别,跃升到PB级别;第二,数据类型繁多。前文提到的网络日志、视频、图片、地理位置信息等等。第三,处理速度快,1秒定律,可从各种类型的数据中快速获得高价值的信息,这一点也是和传统的数据挖掘技术有着本质的不同。第四,只要合理利用数据并对其进行正确、准确的分析,将会带来很高的价值回报。业界将其归纳为4个“V”——Volume(数据体量大)、Variety(数据类型繁多)、Velocity(处理速度快)、Value(价值密度低)。 Compared with traditional data warehouse applications, big data analysis has the characteristics of large data volume and complex query and analysis. The four "Vs" of big data, or characteristics, have four levels: First, the volume of data is huge. From the TB level, it has jumped to the PB level; second, there are many types of data. The aforementioned web logs, videos, pictures, geographic location information, etc. Third, the processing speed is fast, and the 1-second rule can quickly obtain high-value information from various types of data, which is also fundamentally different from traditional data mining techniques. Fourth, as long as the data is used rationally and analyzed correctly and accurately, it will bring high value returns. The industry summarizes it into four "Vs" - Volume (large data volume), Variety (variety of data types), Velocity (fast processing speed), and Value (low value density).

大数据分析在交通状况监测技术领域的运用也越来越得到人们的重视。 The application of big data analysis in the field of traffic condition monitoring technology has also attracted more and more attention.

发明内容 Contents of the invention

为了解决现有技术下交通状况无法快速传递给驾驶者的问题,本发明提供了一种基于大数据的交通状况监测方法及系统,其利用车辆上传的位置信息来共享交通事故或是道路施工的信息,并可以实时提醒当前路况,这样可以对减少道路堵塞,缓解交通压力有很大的帮助。 In order to solve the problem that traffic conditions cannot be quickly transmitted to drivers in the prior art, the present invention provides a traffic condition monitoring method and system based on big data, which utilizes the location information uploaded by vehicles to share information about traffic accidents or road construction. Information, and can remind the current road conditions in real time, which can be of great help in reducing road congestion and relieving traffic pressure.

本发明所采用的技术方案如下: The technical scheme adopted in the present invention is as follows:

一种基于大数据的交通状况监测方法,包括以下步骤: A traffic condition monitoring method based on big data, comprising the following steps:

A、车内导航定位系统在遭遇道路堵塞时上传车辆数据到云端服务器; A. The in-vehicle navigation and positioning system uploads vehicle data to the cloud server when encountering road congestion;

B、云端服务器将所述的车辆数据处理标记并存储,形成路况信息; B. The cloud server marks and stores the vehicle data processing to form road condition information;

C、普通车辆确认行驶目的地,并上传至云端服务器; C. Ordinary vehicles confirm the driving destination and upload it to the cloud server;

D、云端服务器通过目的地分析行驶路线,并将所述的行驶路线与所述的路况信息进行对比,如行驶路线上有道路堵塞情况,则对所述的普通车辆进行提示,并推荐新的路线。 D. The cloud server analyzes the driving route through the destination, and compares the driving route with the road condition information. If there is road congestion on the driving route, it will prompt the ordinary vehicle and recommend a new one. route.

车辆数据包括发生堵塞的堵塞原因数据,车辆位置数据和车辆状况数据。 The vehicle data includes data on the cause of congestion where the congestion occurred, vehicle position data, and vehicle condition data.

步骤A中,车内导航定位系统每隔一个固定时间段上传所述车辆数据。 In step A, the in-vehicle navigation and positioning system uploads the vehicle data at regular intervals.

步骤C中,普通车辆实时上传目的地。 In step C, ordinary vehicles upload destinations in real time.

一种基于大数据的交通状况监测系统,包括车辆内的导航定位系统和云端服务器,导航定位系统用于收集车辆遭遇道路堵塞时的车辆数据并上传给云端服务器,所述的云端服务器用于接收普通车辆的行驶目的地并制定行驶路线,并将行驶路线和所述的车辆数据进行对比。 A traffic condition monitoring system based on big data, including a navigation and positioning system and a cloud server in the vehicle, the navigation and positioning system is used to collect vehicle data when the vehicle encounters road congestion and uploads to the cloud server, and the cloud server is used to receive The driving destination of the ordinary vehicle and formulate the driving route, and compare the driving route with the vehicle data.

本发明提供的技术方案带来的有益效果是: The beneficial effects brought by the technical scheme provided by the invention are:

本发明的一种基于大数据的交通状况监测方法和系统,由事故发生位置的车辆上传车辆数据到云端服务器,由云端服务器处理标记并存储。普通车辆的行驶位置数据也实时上传云端。云端服务器进行判断并提醒。 In the big data-based traffic condition monitoring method and system of the present invention, the vehicle at the location of the accident uploads the vehicle data to the cloud server, and the cloud server processes the marking and stores it. The driving position data of ordinary vehicles is also uploaded to the cloud in real time. The cloud server judges and reminds.

本发明充分运用了大数据与云计算的先进性,带给人们最便捷的交通服务。首先,道路上有施工的或者有交通事故发生,车内导航定位系统将发生事故的位置传送至云端,云端将位置信息存储至服务器。每当车辆准备向发生事故或是施工的道路行驶时,云端会像其发送警报,预报该道路正在施工或是发生了交通事故,这样避免了因为事故造成的交通拥堵。 The present invention makes full use of the advanced nature of big data and cloud computing to bring people the most convenient traffic service. First of all, if there is construction on the road or a traffic accident occurs, the in-car navigation and positioning system will transmit the location of the accident to the cloud, and the cloud will store the location information to the server. Whenever a vehicle is about to drive towards an accident or construction road, the cloud will send an alert to it, predicting that the road is under construction or a traffic accident has occurred, thus avoiding traffic jams caused by accidents.

由于云端服务器保存着所有车辆目前的位置信息,本发明对于车辆丢失以及查询肇事车辆也有着很大的帮助作用。 Because the cloud server keeps the current location information of all vehicles, the present invention also has a great help for vehicle loss and querying the vehicles involved in accidents.

附图说明 Description of drawings

为了更清楚地说明本发明实施例中的技术方案,下面将对实施例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获得其他的附图。 In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without creative effort.

图1为本发明的一种基于大数据的交通状况监测方法及系统的方法实现流程图。 Fig. 1 is a method implementation flow chart of a traffic condition monitoring method and system based on big data of the present invention.

具体实施方式 detailed description

为使本发明的目的、技术方案和优点更加清楚,下面将结合附图对本发明实施方式作进一步地详细描述。 In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

实施例一 Embodiment one

如附图1所示,一种基于大数据的交通状况监测方法,包括以下步骤: As shown in accompanying drawing 1, a kind of traffic condition monitoring method based on big data comprises the following steps:

A、车内导航定位系统在遭遇道路堵塞时上传车辆数据到云端服务器;车辆数据包括发生堵塞的堵塞原因数据,车辆位置数据和车辆状况数据。 A. The in-vehicle navigation and positioning system uploads the vehicle data to the cloud server when encountering road congestion; the vehicle data includes the congestion cause data, vehicle location data and vehicle status data.

本实施例中,车内导航定位系统每隔十分钟上传所述车辆数据。 In this embodiment, the in-vehicle navigation and positioning system uploads the vehicle data every ten minutes.

B、云端服务器将所述的车辆数据处理标记并存储,形成路况信息; B. The cloud server marks and stores the vehicle data processing to form road condition information;

C、普通车辆确认行驶目的地,并上传至云端服务器; C. Ordinary vehicles confirm the driving destination and upload it to the cloud server;

本实施例中,普通车辆实时上传目的地至云端服务器。 In this embodiment, an ordinary vehicle uploads the destination to the cloud server in real time.

D、云端服务器通过目的地分析行驶路线,并将所述的行驶路线与所述的路况信息进行对比,如行驶路线上有道路堵塞情况,则对所述的普通车辆进行提示,并推荐新的路线。 D. The cloud server analyzes the driving route through the destination, and compares the driving route with the road condition information. If there is road congestion on the driving route, it will prompt the ordinary vehicle and recommend a new one. route.

实施例二 Embodiment two

一种基于大数据的交通状况监测系统,包括车辆内的导航定位系统和云端服务器,导航定位系统用于收集车辆遭遇道路堵塞时的车辆数据并上传给云端服务器,所述的云端服务器用于接收普通车辆的行驶目的地并制定行驶路线,并将行驶路线和所述的车辆数据进行对比。 A traffic condition monitoring system based on big data, including a navigation and positioning system and a cloud server in the vehicle, the navigation and positioning system is used to collect vehicle data when the vehicle encounters road congestion and uploads to the cloud server, and the cloud server is used to receive The driving destination of the ordinary vehicle and formulate the driving route, and compare the driving route with the vehicle data.

以上所述仅为本发明的较佳实施例,并不用以限制本发明,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。 The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within range.

Claims (5)

1.一种基于大数据的交通状况监测方法,包括以下步骤: 1. A traffic condition monitoring method based on big data, comprising the following steps: A、车内导航定位系统在遭遇道路堵塞时上传车辆数据到云端服务器; A. The in-vehicle navigation and positioning system uploads vehicle data to the cloud server when encountering road congestion; B、云端服务器将所述的车辆数据处理标记并存储,形成路况信息; B. The cloud server marks and stores the vehicle data processing to form road condition information; C、普通车辆确认行驶目的地,并上传至云端服务器; C. Ordinary vehicles confirm the driving destination and upload it to the cloud server; D、云端服务器通过目的地分析行驶路线,并将所述的行驶路线与所述的路况信息进行对比,如行驶路线上有道路堵塞情况,则对所述的普通车辆进行提示,并推荐新的路线。 D. The cloud server analyzes the driving route through the destination, and compares the driving route with the road condition information. If there is road congestion on the driving route, it will prompt the ordinary vehicle and recommend a new one. route. 2.根据权利要求1所述的一种基于大数据的交通状况监测方法,其特征在于,所述的车辆数据包括发生堵塞的堵塞原因数据,车辆位置数据和车辆状况数据。 2. A kind of traffic condition monitoring method based on big data according to claim 1, is characterized in that, described vehicle data comprises the congestion cause data of congestion, vehicle location data and vehicle status data. 3.根据权利要求1所述的一种基于大数据的交通状况监测方法,其特征在于,所述的步骤A中,车内导航定位系统每隔一个固定时间段上传所述车辆数据。 3. A method for monitoring traffic conditions based on big data according to claim 1, characterized in that, in the step A, the in-vehicle navigation and positioning system uploads the vehicle data every fixed time period. 4.根据权利要求1所述的一种基于大数据的交通状况监测方法,其特征在于,所述的步骤C中,普通车辆实时上传目的地。 4. A kind of traffic condition monitoring method based on big data according to claim 1, is characterized in that, in described step C, common vehicle uploads destination in real time. 5.一种基于大数据的交通状况监测系统,包括车辆内的导航定位系统和云端服务器,其特征在于,所述的导航定位系统用于收集车辆遭遇道路堵塞时的车辆数据并上传给云端服务器,所述的云端服务器用于接收普通车辆的行驶目的地并制定行驶路线,并将行驶路线和所述的车辆数据进行对比。 5. A traffic condition monitoring system based on big data, comprising a navigation and positioning system and a cloud server in the vehicle, characterized in that the navigation and positioning system is used to collect vehicle data when the vehicle encounters road congestion and uploads to the cloud server , the cloud server is used to receive the driving destination of the common vehicle and formulate the driving route, and compare the driving route with the vehicle data.
CN201510804521.7A 2015-11-20 2015-11-20 Traffic condition monitoring method and system based on big data Pending CN105448088A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106297356A (en) * 2016-08-16 2017-01-04 深圳市永兴元科技有限公司 Traffic monitoring methods based on big data and device
CN106781590A (en) * 2016-12-05 2017-05-31 深圳市车音网科技有限公司 Vehicle travels based reminding method and device
CN110264723A (en) * 2019-07-03 2019-09-20 交通运输部科学研究院 A kind of traffic engineering construction intelligent Warning Systrm and method
CN112216137A (en) * 2020-09-27 2021-01-12 山东科技大学 System and method for identifying road indication sign for vehicle
CN113619608A (en) * 2021-09-16 2021-11-09 东软睿驰汽车技术(大连)有限公司 Vehicle driving method and device based on driving assistance system and electronic equipment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009289223A (en) * 2008-06-02 2009-12-10 Clarion Co Ltd Traffic situation prediction system, navigator, and server
CN102095427A (en) * 2010-12-09 2011-06-15 深圳市凯立德欣软件技术有限公司 Navigation method and device
CN102155951A (en) * 2010-02-11 2011-08-17 上海博泰悦臻电子设备制造有限公司 Vehicle navigation system and method
CN103136952A (en) * 2011-12-02 2013-06-05 上海博泰悦臻电子设备制造有限公司 Navigation method and navigation service center
CN103557870A (en) * 2013-10-09 2014-02-05 董路 Dynamic trajectory navigation method and cloud platform
CN103776459A (en) * 2013-12-06 2014-05-07 安徽味唯网络科技有限公司 Intelligent navigation system
US20140336913A1 (en) * 2012-11-06 2014-11-13 Apple Inc. Routing Based on Detected Stops
CN104422455A (en) * 2013-08-24 2015-03-18 李竹君 Road condition real time navigation system
WO2015174824A2 (en) * 2014-05-15 2015-11-19 Mimos Berhad A system and method for extracting route and traffic density

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009289223A (en) * 2008-06-02 2009-12-10 Clarion Co Ltd Traffic situation prediction system, navigator, and server
CN102155951A (en) * 2010-02-11 2011-08-17 上海博泰悦臻电子设备制造有限公司 Vehicle navigation system and method
CN102095427A (en) * 2010-12-09 2011-06-15 深圳市凯立德欣软件技术有限公司 Navigation method and device
CN103136952A (en) * 2011-12-02 2013-06-05 上海博泰悦臻电子设备制造有限公司 Navigation method and navigation service center
US20140336913A1 (en) * 2012-11-06 2014-11-13 Apple Inc. Routing Based on Detected Stops
CN104422455A (en) * 2013-08-24 2015-03-18 李竹君 Road condition real time navigation system
CN103557870A (en) * 2013-10-09 2014-02-05 董路 Dynamic trajectory navigation method and cloud platform
CN103776459A (en) * 2013-12-06 2014-05-07 安徽味唯网络科技有限公司 Intelligent navigation system
WO2015174824A2 (en) * 2014-05-15 2015-11-19 Mimos Berhad A system and method for extracting route and traffic density

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106297356A (en) * 2016-08-16 2017-01-04 深圳市永兴元科技有限公司 Traffic monitoring methods based on big data and device
CN106781590A (en) * 2016-12-05 2017-05-31 深圳市车音网科技有限公司 Vehicle travels based reminding method and device
CN110264723A (en) * 2019-07-03 2019-09-20 交通运输部科学研究院 A kind of traffic engineering construction intelligent Warning Systrm and method
CN112216137A (en) * 2020-09-27 2021-01-12 山东科技大学 System and method for identifying road indication sign for vehicle
CN113619608A (en) * 2021-09-16 2021-11-09 东软睿驰汽车技术(大连)有限公司 Vehicle driving method and device based on driving assistance system and electronic equipment

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Application publication date: 20160330