CN103236163B - Traffic jam avoiding prompting system based on collective intelligence network - Google Patents

Traffic jam avoiding prompting system based on collective intelligence network Download PDF

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CN103236163B
CN103236163B CN201310155684.8A CN201310155684A CN103236163B CN 103236163 B CN103236163 B CN 103236163B CN 201310155684 A CN201310155684 A CN 201310155684A CN 103236163 B CN103236163 B CN 103236163B
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traffic
module
hot
data
congestion
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CN103236163A (en
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盛浩
朱耿良
李超
熊璋
黄延
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北京航空航天大学
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Abstract

一种基于群智网络的交通拥堵规避提示系统,由网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、拥堵热点验证与管理模块、即时交通热点服务器、基于热点规避的出行路线规划模块、交通热点与规避路线显示模块、智能手机端应用软件;本发明面向群智感知网络,结合传统交通信息来源,对城市交通热点进行基于数据活化技术的挖掘和预测,进而对智能终端用户提供交通拥堵热点显示和规避提示服务。 Based on traffic congestion avoidance tips chi group network system, a web traffic hot spots mining module, mining module hot microblogging traffic, traffic laws prediction module, congestion hot spot verification and management module, real-time traffic hot spots server, based on the travel route to avoid the hot spots of planning module, to avoid the traffic hotspots and route display module, end smart phone application software; the invention for the Social Brain aware network, combined with the traditional sources of information traffic, urban traffic hotspots activation technology based on data mining and predictive, then the smart end-users provide traffic congestion hotspots display and avoid prompt service. 本发明数据来源于多源群智网络,准确性好,查全率高,实时抓取热点并反馈,高效实用;且设计良好,运行稳定,安装方便,可成为供城市居民广泛实用的智慧交通信息工具,为用户顺畅出行提供有效的信息提示。 The present data from multiple sources chi group network, good accuracy, recall rate, real-time feedback and grab a hot, efficient and practical; well-designed, stable, easy to install, can become practical for widespread urban intelligent transportation information tools for users to provide valid information and smooth travel tips.

Description

一种基于群智网络的交通拥堵规避提示系统 Based on traffic congestion avoidance tips chi group network system

技术领域 FIELD

[0001] 本发明涉及一种智能交通热点拥堵热点发现和规避提示系统,具体地说涉及交通领域的多源数据挖掘方法,挖掘的成果通过无线通讯的方式向移动终端提供,移动终端利用这些数据结合移动终端自身的位置数据进行智能的拥堵热点规避提示。 [0001] The present invention relates to an intelligent traffic hot spots and congestion avoidance hot tips discovery system, and more particularly relates to multi-source data mining method in the field of transportation, mining results provided by way of wireless communication by the mobile terminal, the mobile terminal uses this data congestion point bonding position data of the mobile terminal itself intelligent avoidance tips.

背景技术 Background technique

[0002] 随着世界经济的发展和汽车的普及,交通拥堵问题已经成为当今社会存在的一个普遍性问题,拥堵不仅给我们的出行带来不便,也会造成对个人及社会的经济损失。 [0002] With the popularity of the world economy and the automotive, traffic congestion has become a widespread problem in today's society there is congestion not only to our travel inconvenience, can also cause personal and social economic losses.

[0003] 而随着网络通信技术的迅速发展以及移动智能终端(如智能手机、平板电脑等)的快速普及,智能终端已经普遍携带视频监控,音频,加速传感器等感知设备。 [0003] With the rapid popularization of the rapid development of network communication technology and mobile intelligent terminal (such as smart phones, tablets, etc.), the intelligent terminal has been generally carry video surveillance, audio, acceleration sensors aware devices. 部分高端智能终端所能携带的视频设备已经超过部分低端的视频监控设备。 Some high-end smart terminal can carry video equipment has more than some low-end of video surveillance equipment. 智能终端的大量普及,使得构建以人为中心的感知与计算网络(简称“群智感知计算”)成为可能。 Increasing popularity of intelligent terminals, such constructs to sense the human-centered computing network (referred to as "aware computing chi group") becomes possible.

[0004] 群智感知计算是大量普通用户使用移动智能终端作为基本的感知单元,对周围环境及事物进行信息感知与搜集,并通过互联网或移动通信网络组成动态的信息感知网络,实现大规模的信息交叉感知与汇总,称为群智网络。 [0004] Wisdom aware computing is the large group of users to use an ordinary mobile intelligent terminal unit as the basic perception of the surrounding environment and things perception and collect information, and dynamic information-aware network of a mobile communication network or through the Internet, the large-scale information crosstalk and summary, known as chi group network.

[0005] 当前对于城市交通实时路况的获取,主要是通过浮动车技术,即在城市计程车,公交车上安装浮动测速装置,各装置即时将自身的位置和速度数据上报到数据中心,数据中心通过计算每一条道路上的平均车流速度来评估实时路况,并发布实时路况信息。 [0005] For the current urban transport access to real-time traffic, mainly through the floating vehicle technology, namely in urban taxi, bus speed installation of a floating device, each device instantly report its position and velocity data to the data center, data center calculate the average traffic speed on every road to assess the real-time traffic, and publish real-time traffic information. 目前在我国多个主要大城市中均部署了该项技术。 Currently in China more major cities in both the deployment of the technology.

[0006] 但是,浮动车技术仅能够获得即时的平均车流速度,对于路况评价准确性有限,无法反映突发的交通事件带来的影响,更加不具备预测交通拥堵的能力。 [0006] However, floating car technology is only able to obtain real-time average traffic speeds for road conditions limited the accuracy of the evaluation can not reflect the impact of unexpected traffic events brought more do not have the ability to predict traffic jams. 因此,仅依靠浮动车技术提供的实时路况数据并不能够很好的指导人们出行。 Therefore, only rely on real-time traffic data floating car technology is not able to provide a good guide people to travel. 而除去浮动车技术的数据,交通部门还通过网页发布交通信息,电台播报交通信息,在主要路段设立交通信息大屏幕等方式来帮助广大民众了解实时交通情况,丰富了交通疏导的手段。 Remove floating car data technology, transportation department also issued via the web traffic information, radio broadcast traffic information, traffic information, a large screen set up in the main roads, etc. to help the general public understand the real-time traffic conditions to enrich the means of traffic control. 同时,随着社交网络的兴起,广大的微博用户在出行的同时也会向自己的好友分享一些自己所在路段的路况消息。 Meanwhile, with the rise of social networks, the majority of microblogging users will share some sections of the road where their messages to their friends at the same time travel. 上述的信息来源都能够反映部分的交通路况信息,但是也有各自的不足。 The above-mentioned sources of information are able to reflect traffic information section, but also have their own shortcomings. 网页播报,电台播报等信息传达的效果不好,而且需要用户主动获取,信息屏只能为局部位置的车辆提供部分信息,微博中发布的信息传播距离有限,不能真正对大量出行的人们有所帮助。 Web broadcast, radio broadcast and other bad effect to convey information, but require the user to take the initiative to obtain information screen can only provide partial information for the local position of the vehicle, information dissemination microblogging released a limited distance, you can not really have a lot of people travel the help. 更大的问题是,用户即使获得了上述的相关信息,也只能靠自身经验去判断这些信息对自己出行的影响,以及如何规避或者应对所了解到的交通拥堵情况,而大多数用户并无法对出行路段和路网有清楚的认识,因此也就无法很好的做出规避判断。 The bigger question is, even if the user access to the above information, we can only rely on their own experience to judge the impact of such information on their own travel, and how to avoid or deal with traffic congestion to the information received, and most users and can not We have a clear understanding of the travel sections of the road network and, therefore, can not avoid to make good judgments.

[0007] 此外,上述信息都是相互独立的,还没有一个系统能够将其集成起来,将这些信息统一管理和发布。 [0007] In addition, the above information are independent of each other, there is not a system able to integrate the unified information management and publishing. 而上述信息都存在信息格式的随意性,交通播报的信息,微博中的交通拥堵消息都是口语化的文本,当前缺乏一种专门的文本挖掘方法将其转化为格式化的数据,也只有将数据格式化之后,才能被更好的使用和传播。 The above information is for discretion message format, broadcast traffic information, traffic congestion messages microblogging is colloquial text, the current lack of a specialized text mining method to convert it into a data format, and only after formatting the data, in order to be better used and disseminated.

发明内容 SUMMARY

[0008] 本发明技术解决问题:克服现有技术的不足,提供一种基于群智网络的交通拥堵规避提示系统,采用面向群智网络的多源数据活化技术,将不同信息来源的交通拥堵热点信息分别进行挖掘和结构化,并且提供移动终端的软件帮助用户智能规避交通热点,系统信息来源广泛,结果可靠性高,实时性好,具有预测能力,考虑因素全面,实用性强,易用性好。 [0008] The techniques of the present invention to solve the problem: to overcome the deficiencies of the prior art, there is provided a presentation system based congestion avoidance chi group network, multi-source data chi group activation technology for the network, the traffic congestion information from different sources hotspot mining and information were structured, and provides mobile intelligent terminal software to help users avoid traffic hotspots, extensive source of information on the system, the result of high reliability, real-time, predictive capacity, consideration comprehensive, practical, easy to use it is good.

[0009] 本发明采用如下的技术方案:一种基于群智网络的交通拥堵规避提示系统,包括服务器、无线网络和移动终端,服务器和移动终端之间采用无线网络连接;其中服务器负责面向群智网络多源交通数据挖掘和预测交通拥堵热点,并向下述移动终端提供交通热点数据接口,包括网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、交通热点验证与管理模块、用户报告事件处理模块和服务器无线通讯模块;移动终端,由用户持有,通过定位功能获取自身位置,通过请求服务器接口获得所在城市的交通拥堵热点,通过智能热点规避模块计算出拥堵热点规避路线,它包括:无线通讯模块;定位模块;交通热点及规避路线显示模块;用户上报路况事件模块和基于热点规避的路线规划模块; [0009] The present invention employs the following technical solutions: A network-based congestion avoidance chi group presentation system, comprising wireless network connection between the servers, a wireless network and a mobile terminal, a server and a mobile terminal; wherein the server is responsible for chi group network multi-source data mining and predictive traffic congestion hot spots, and a mobile terminal provides the following hotspot data traffic interfaces, including web traffic hotspots mining module, Twitter traffic hot mining module, traffic laws prediction module, authentication and traffic hot spot management module, users report server event processing module and wireless communication module; mobile terminal held by the user, get their position by positioning capabilities, access to the city's traffic congestion hot spot by requesting the server interface, through the intelligent hotspot avoid module calculates the route to avoid the congestion hot spots, it includes: a wireless communication module; positioning module; and avoid traffic hotspots route display module; user traffic incident reporting module based on hot spots and avoid route planning module;

[0010] 网页交通热点挖掘模块,实现以下功能:通过网络爬虫爬取与交通路况信息相关的网站和网页;通过人工判断筛选的方式选择出来源具有权威性,准确性,代表性的网站网页,作为内容解析的主要来源;通过自主设计的网站分析程序,针对网页内容组织特点,结合文本挖掘技术,挖掘出拟交通拥堵热点;网页交通热点挖掘模块面向网页数据源,其模块运行结果输出至拥堵热点验证与管理模块。 [0010] web traffic hot spots mining module, the following functions: crawling traffic information associated with the Web sites and pages through a web crawler; selecting a source of authoritative, accurate, representative website page screened by human judgment way, as the main source of content parsed; through website analysis program self-designed for web content organization features, combined with text mining, digging out the proposed traffic congestion hot spots; web traffic hot spots mining module for web data sources, output results of its operation module to congestion hot authentication with the management module.

[0011] 微博交通热点挖掘模块,实现以下功能:通过新浪微博开放API接入新浪微博,获取带有地理信息的微博文本集;通过针对微博文本特点的文本挖掘程序,挖掘出微博信息中隐含的拟交通拥堵热点;能过不断自动学习微博文本的特征,不断提高交通拥堵热点信息的识别率;微博交通热点挖掘模块面向微博开放数据源,其模块运行结果输出至拥堵热点验证与管理模块。 [0011] microblogging traffic hotspots mining module, the following functions: Open API access through Weibo Sina Weibo, the microblogging get a text with a set of geographic information; through text mining program for microblogging characteristics of the text, and tap out micro-blog information implied proposed congestion hot spots; can be automatically and continuously through the micro-blog feature learning text, continuously improve the recognition rate information hot traffic congestion; traffic hot Twitter Twitter open mining module for source data, the results of which module runs and output to the authentication management module congestion hot spots.

[0012] 路况规律预测模块,实现以下功能:通过历史和及时实时路况信息,预测出各路段的车流高峰时间段,转化为交通拥堵热点;基于城市中小学地理位置和上学、放学时间,以及主要大型企事业单位的地理位置和上下班人流高峰时段,预测出对应地点的交通拥堵热点;路况规律预测模块基于自主收集和整理的包含上述交通数据信息的数据库,其模块运行结果输出至拥堵热点验证与管理模块。 [0012] traffic laws prediction module, the following functions: through historical and real-time traffic information in a timely manner, to predict peak traffic periods each link, traffic jam into hot spots; and based on primary and secondary location city school, school time, and the main Location large enterprises and peak flow commuting hours, corresponding to the predicted congestion hot place; traffic prediction module based on the law of independent collection and collation of a database containing information on which the traffic data, which is output to the module is running hot congestion verification and management module.

[0013] 服务器用户上报事件处理模块,实现以下功能,统一收集用户上报的信息,经过去除重复和准确性验证操作后,转化为交通拥堵热点。 [0013] reporting server user event processing module, the following functions, uniform collection of information reported by the user, after removing duplicate and verify the accuracy of operations, into a traffic jam hotspots. 服务器用户上报事件处理模块,接收有服务器接口传入的用户上报事件数据,其模块运行结果输出到拥堵热点验证与管理模块。 Server reporting the user event processing module for receiving the incoming server interface with a user reporting event data, the module outputs the operation result to verify hotspot and congestion management module.

[0014] 拥堵热点验证与管理模块,实现以下功能:即时将网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、用户上报事件处理模块中挖掘出的交通拥堵热点整合并显示在热点管理界面中,服务器软件使用者可以在地图界面中查看每一个热点,判断其准确性,并人工确认是否发布该热点。 [0014] congestion hot spot verification and management module, the following functions: Instant webpage traffic hotspots mining module, microblogging traffic hotspots mining module, traffic laws prediction module, users report the event processing module excavated traffic congestion hotspots integrated and displayed hotspot management interface, server software, the user can view the map screen in each hot spot, to determine its accuracy, and manually confirm release of the hot spot. 对于每一个传送到该模块的热点,可以人工进行修改和删除,同时,管理模块还能够自动地即时清除过期热点和无效热点;拥堵热点验证与管理模块,其输入数据来自网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、用户上报事件处理模块和用户的输入和编辑操作,其模块运行结果输出至服务器接口,向用户发布。 For transferring each to the hot spot of the module, you can manually modify and delete at the same time, the management module can also automatically immediate elimination of obsolete hot and invalid hotspot; congestion hot spot verification and management module, the input data from web traffic hot spots mining module, microblogging traffic hotspots mining module, traffic laws prediction module, the user event processing module and report the user's input and editing operation, the output results of its operation to the server interface module, released to the user.

[0015] 服务器无线通讯模块,负责与移动终端的通信;由硬件(网卡)和网络连接程序组成,负责向监听和处理客户端接口发送的数据请求。 [0015] The wireless communication server module is responsible for communication with the mobile terminal; hardware (NIC) and the procedures of the network connection, the request interface is responsible for data transmission and to listen to the client process.

[0016] 移动终端无线通讯模块,负责与服务器的通讯;由硬件(网卡)和网络连接程序组成,负责向服务器接口发送数据请求。 [0016] The wireless communication module of the mobile terminal, is responsible for the communication with the server; hardware (NIC) and the network connection procedure, is responsible for sending a data request to the server interface.

[0017] 定位模块,负责智能终端的GPS定位;移动终端运行客户端软件后自动获取自身位置信息,其结果可被交通热点与规避路线显示模块,路况事件上报模块和基于热点规避的出行路线规划模块调用。 [0017] positioning module, responsible for GPS positioning intelligent terminals; automatically obtain its own location information of the mobile terminal to run the client software, the result can be displayed traffic hot spots and avoid the route module, traffic incident reporting module based on the travel route planning hotspot avoidance module calls.

[0018] 交通热点与规避路线显示模块,能够实现以下功能:在地图界面中显示出从所述系统服务器模块获取的交通热点,并根据不同的类型显示不同的颜色标注和影响范围;与用户进行交互,获取用户选择的出行起点、终点和规避方式,并地图界面中显示出热点规避计算模块计算得出的智能出行路径;交通热点与规避路线显示模块中交通热点显示功能数据来源于客户端接口请求得到的即时热点数据,规避路线显示功能数据来源于基于热点规避的出行路线规划模块;其模块运行结果直接向用户展示。 [0018] Hot and avoid traffic route display module, it is possible to achieve the following functions: showing traffic hotspots system acquired from the server interface module in the map, and display different colors and marked according to the different type of scope; with the user interactive, user-selected travel starting point to obtain, and the end to avoid the way, and a map interface shows hot to avoid the travel route calculation module calculates intelligence derived; traffic hot spots and avoid traffic hot line display module display data from the client interface instant hot data obtained by request, to avoid the route display function based on data derived from hot to avoid the travel route planning module; its operating result to show the module directly to the user.

[0019] 基于热点规避的出行路线规划模块,基于城市地图数据、所述系统服务器提供的热点数据以及从网络获取的气象数据计算出一条智能规避交通拥堵热点路段的出行线路。 [0019] Based on hot avoid travel route planning module, based on the city map data, hotspot data provided by the server system and meteorological data obtained from the network to calculate a smart avoid traffic congestion hot section of the travel routes. 基于热点规避的出行路线规划模块数据来源为用户交互输入的信息、从网络获取的气象信息和从客户端接口中请求得到的即时交通热点数据。 Based on hot avoid travel route planning data source module for the input of user interaction information, weather information obtained from the Internet and real-time traffic data from the client interface hot spot request obtained. 其模块运行结果输出到交通热点与规避路线显示模块。 Its operating result output module to avoid the traffic hotspots and route display module.

[0020] 客户端路况事件上报模块,能够帮助用户通过点击软件按钮的方式便捷地将所看到的交通路况事件、连同自身所在位置,发送给本系统服务器。 [0020] The client traffic incident reporting module, the software can help users by clicking on the button the way traffic road events will be easily seen, along with their own location, is sent to the system server. 客户端路况事件上报模块直接面向用户,并从定位模块中获取位置数据,模块运行结果输出至客户端网络接口,由网络接口发送至本系统服务器。 Client traffic event reporting module directly to a user, and obtain location data from the location module, the output module operation results to the client network interface, sent by the network interface to the system server.

[0021] 所述网页交通热点挖掘模块具体实现如下: [0021] The web traffic hot tap module is implemented as follows:

[0022] (I)通过网络爬虫,搜索引擎,人工收集的方式,获取和交通路况信息有关的网站与网页集。 [0022] (I) by a web crawler, search engine, artificial way to collect, access and traffic information and Web site related to the collection. 其中通过网络爬虫和搜索引擎获取相关网站与网页集的方法中,采用关键字主题向量匹配的方法,即网页文本内容与由交通领域关键字组成的主题向量的乘积大于0,则认为该网页为相关网页。 The method in which the access to relevant sites and page set by web crawlers and search engines, keyword themes vector matching method, that is the product of the web page text content and theme vector by keyword transport sector, is greater than 0, it is considered that the webpage is related pages. 人工收集的方式则是通过收集人员的生活经验,获取可能能够为系统提供数据的网页。 The way is collected manually by experienced collectors of life, access to the Web page may be able to provide data for the system.

[0023] (2)通过人工判断的方式从(I)的结果中筛选出信息来源权威,准确,具有参考价值的网页,作为网页数据来源。 [0023] (2) filter through manual judging from the results of (I) in an authoritative source of information, and accurate, with reference page as page data source.

[0024] (3)针对每一个网页的内容组织形式,具体为HTML源码的组织形式,基于HTML语言解析的程序包,设计出抓取该网页的所需内容的Java语言程序。 [0024] (3) the content of the form for each page of the organization, in particular in the form of HTML source code of the organization, based on the HTML language parsing the package, a Java language program designed to crawl the desired content of the web page.

[0025] (4)设计对(3)抓取出的内容进行词法、句法分析,特征分析与结构化信息提取,并转化为交通热点格式数据的程序。 [0025] (4) design (3) fetch the contents lexical, syntactic analysis, and structural analysis feature information extraction, and converted to the format of the data program transport hot. 通过分词,分句程序对于获取的文本内容做基本处理,其特征分析的内容包括影响范围分析,严重程度语义分析。 By word, clause text content acquisition program for doing basic processing, content analysis of its features include the scope of the analysis, the severity of the semantic analysis. 结构化信息提取步骤对经过分词,分句后的文本内容进行地名抽取,时间抽取,事件抽取。 Structured information extraction step on through word, text after clause names were drawn, time extraction, event extraction. 最后将上述分析的结构构造成一个结构化的交通热点数据。 Finally, analysis of the structure of the above configured to transport a data structure of hot spot.

[0026] (5)通过多线程java程序,异步运行(3) (4)中的程序,不断挖掘出交通热点,并将热点输出到交通热点验证与管理模块中。 [0026] (5) through multi-threaded java program, run asynchronously (3) (4) program, keeps finding the traffic hot spot, and outputs to the traffic hotspots and hotspot authentication management module.

[0027] 所述微博交通热点挖掘模块具体实现如下: [0027] The hot tap Twitter traffic module is implemented as follows:

[0028] ( I)连接新浪微博开放平台,获得微博内容获取授权信息。 [0028] (I) connected to an open platform Sina microblogging, microblogging content acquisition to obtain authorization information.

[0029] ( 2)基于(I)的授权信息,接入新浪微博开放平台,通过其微博API获取公共微博,获取频率为1500次/小时,每次获取200条公共微博。 [0029] (2) based on the authorization information (I), the access Xinlang open platform, through which access to public Twitter Twitter the API, acquisition frequency of 1500 times / hr, 200 each acquired public Twitter.

[0030] (3)对于(2)的微博获取结果,筛选出带有地理信息的微博,即其微博结构体内容中经度属性和纬度属性数据不为-1的微博,以及地理位置位于特定城市范围以内的微博。 [0030] (3) to obtain (2) the result of micro-blog, Twitter screened with geographical information, i.e., its micro-blog content structure latitude and longitude attributes attribute data is -1 micro-blog, and geography located within the city limits of specific micro-blog.

[0031] (4)对于(3)的筛选结果,再筛选出微博内容提及交通路况相关信息的微博。 [0031] (4) For (3) screening results, and then screened micro-blog content mentioned micro-blog information related to traffic and road conditions. 筛选方法采用关键字主题向量匹配,即微博文本内容与由交通领域关键字组成的主题向量的乘积大于0,则认为该微博为主题相关微博。 Screening method using vector matching keyword themes, namely the product of microblogging content and theme vector text by keyword transport sector, is greater than 0, it is considered that the microblogging microblogging topic.

[0032] ( 5)对于(4)得出的结果,尽心词法分析,句法分析和微博短文本分析,针对微博短文本的特点进行内容特征识别与特征提取。 [0032] (5) For (4) the results, dedicated lexical analysis, syntactic analysis, and Twitter short text analysis, feature recognition and feature content extraction characteristics Twitter short text. 特征分析的内容包括影响范围分析,严重程度语义分析。 Content analysis features include the scope of the analysis, the severity of the semantic analysis. 结构化信息提取步骤对经过分词,分句后的文本内容进行地名抽取,时间抽取,事件抽取。 Structured information extraction step on through word, text after clause names were drawn, time extraction, event extraction. 最后将上述分析的结构构造成一个结构化的交通热点数据,其信息抽取方法针对微博文本和其特征的特点进行设定。 Finally, analysis of the structure of the above configured to transport a data structure of hot spot, which is set for the information extraction characteristics Twitter and wherein the text.

[0033] (6)通过多线程java程序,异步运行(2) (3) (4) (5)中的程序,不断挖掘出交通热点,出现位置相邻并且内容相似的热点,则合并这些热点并提高该热点的可信度。 [0033] (6) through multi-threaded java program, run asynchronously (2) (3) (4) (5) the program keeps finding the traffic hot spot occurs adjacent the position similar content and hot, these hot spots are merged and improve the credibility of the hot spots. 合并重复热点后,将热点输出到交通热点验证与管理模块中。 After the combined duplicate hotspot, the hotspot is output to the traffic hot spot authentication and management module.

[0034] 所述路况规律预测模块具体实现如下: [0034] The predictive traffic law module is implemented as follows:

[0035] ( I)根据数据库中存储的城市历史路况数据,结合自主设计的路况影响模型,统计出每个时刻的路况平均规律,并设定阈值预测出当日可能发生拥堵的路段和时间。 [0035] (I) according to the city's historical traffic data stored in the database, combined with road conditions affect self-designed model, the statistics of average traffic laws each time, and set the threshold to predict the time of day and road congestion may occur.

[0036] ( 2 )根据数据库中存储的城市主要中小学和大型企事业单位的地址位置和上下班时间/上学放学时间,预测出可能发生拥堵的路段和时间段。 [0036] (2) and commute time stored in a database location the address of the main cities and large enterprises in the Primary / school run time, and the time period predicted link congestion may occur.

[0037] (3)将(I) (2)的处理结果结构化为交通拥堵热点数据。 [0037] (3) (I) (2) into the structure of the processing result of hot traffic congestion data.

[0038] (4)每日运行一次(I) (2) (3)中的程序,得出当天可能发生的交通热点,并将热点输出到交通热点验证与管理模块中。 [0038] (4) runs once a day (I) (2) program (3), a hot day obtain traffic may occur, and outputs to the traffic hotspots and hotspot authentication management module.

[0039] 所述服务器端用户上报事件处理模块具体实现如下: [0039] The server-side user reporting event processing module is implemented as follows:

[0040] ( I)不间断从服务器接口的用户事件上报监听程序中获取用户上报事件数据。 [0040] (I) in the listener get the user reported event data continuously reporting from the event server user interface.

[0041] (2)对(I)的数据进行有效性判断,并对数据赋一个置信度,其中置信度的确定方法为是否有多个用户上报同一内容,并分析用户所在位置,发生所上报交通路况事件的可能性。 [0041] (2) (I) determining the validity of data, and the data to assign a confidence level, wherein the method of determining whether the confidence level is reported to have the same content a plurality of users, and analyzes the user's location, the reported occurrence the likelihood of road traffic incidents.

[0042] (3)将(2)中判断为有效的上报事件构造成交通热点数据,将数据输出到交通热点验证与管理模块。 [0042] (3) (2) is determined to be valid reporting event is configured to transport hot data, it outputs the data to the traffic hot spot authentication and management module.

[0043] 所述交通热点验证与管理模块具体实现如下: [0043] and the hot-spot verification traffic management module embodied as follows:

[0044] (I)不间断获取从网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、用户上报事件处理模块中传入的热点,对热点进行去除重复数据操作,并显示在界面中“待审核热点”列表中。 [0044] (I) obtained from the continuous web traffic hotspots mining module, Twitter traffic hot mining module, traffic laws prediction module, a user event processing module reporting the incoming hot, hot removal of duplicate data manipulation, and displayed on interface "pending hot spots" list.

[0045] (2)由软件使用者对(I)中的热点数据进行编辑,验证和审核,界面负责向使用者展示热点的属性数据和在地图中位置。 [0045] (2) of the hot data (I) for editing, validation and audit software user interface is responsible for displaying attribute data and hotspot location on a map to the user.

[0046] (3)对于使用者在步骤(2)中确认进行发布的交通热点,加入到正在发布的交通热点队列中,允许服务端网络接口获取正在发布的交通热点队列数据以对客户端发布,同时将正在发布的热点显示在“正在发布热点”列表中。 [0046] (3) for the user in step (2) in the traffic confirm release of hot, is added to the hot release of the traffic queue, to allow the server interface to obtain a network traffic hot queue data being published to release the client while being released hot spots appear in "being released hot spots" list.

[0047] (4)对于(2) (3)中正在审核和正在发布的热点,循环判断其是否过时,其中轻微和中度拥塞的超时阈值为超过发生时间25分钟以上,严重拥塞的超时阈值为超过发生时间40分钟以上。 [0047] (4) (2) (3) are being reviewed and hot spots are released, the cycle determines whether obsolete, wherein the mild and moderate congestion timeout threshold value for more than 25 minutes time of occurrence of a serious congestion timeout threshold is more than 40 minutes occurred. 对于过时的热点进行删除。 Delete the outdated and hot spots.

[0048] 所述交通热点及规划线路显示模块具体实现如下: [0048] The transportation planning and hot-line display module is implemented as follows:

[0049] (I)加载地图控件,从定位模块中获取并在地图中显示移动终端所在位置。 [0049] (I) load control map is acquired from the positioning module and the mobile terminal displays the location on the map.

[0050] (2)获取从服务器网络接口中请求得到的即时热点数据,以浮标和覆盖物的方式显示在(I)加载好的地图控件中,并通过颜色和颜色深度区别热点的类型和影响程度。 [0050] (2) Get instant hot requested data obtained from the server network interface, a display as to the buoy and the cover (I) good load control map, and the type of impact and the color depth and color difference hotspot degree.

[0051] (3)当用户需要显示规避路线时,即规避路线规划算法运行完成后,从基于热点规避的出行路线规划模块中获取计算结果,将规避路线以折线覆盖物的方式显示在(2)中已显示移动终端位置和交通热点信息的地图控件中。 [0051] (3) When the user needs to display avoidance route, i.e. to circumvent the route planning algorithm is run to completion, acquired from the calculation results based hot avoidance travel route planning module, the avoidance route in a line covering a manner shown in (2 ) has been shown to map controls mobile terminal position information and traffic hotspots.

[0052] 所述基于热点规避的出行路线规划模块具体实现如下: [0052] The avoidance of hot spots based on the travel route planning module is implemented as follows:

[0053] (I)与用户交互获取用户对于出行线路的规划要求,具体数据包括:出发地,目的地,经由点,是否避开高速路,是否避开收费站。 [0053] (I) interacts with the user to obtain the user's requirements for planning travel routes, specific data comprising: a departure point, destination, via point, whether to avoid highways, whether to avoid toll.

[0054] ( 2 )加载从服务器端获取的即时热点数据,获取即时天气数据,计算每一热点的影响程度和影响范围,计算出每个热点的速度影响因子和范围影响因子。 [0054] (2) an instant hot loading data acquired from the server, acquires weather data, and calculates the degree of influence of each hot spot scope, calculate the speed of each of the hot and scope Factors affecting factors.

[0055] (3)根据(I)中用户选择的起始地点,获取路网数据,组建路网数据结构,并根据 [0055] (3) The (I) start location selected by the user, acquiring network data, road network data structure formation, and in accordance with

(2)中得计算结果,给路网赋权值。 The results obtained (2), the road network to empower value.

[0056] (4)基于(3)的路网结构,运行多次迭代的扩展最短路径算法,计算出规避路线结果O [0056] (4) based on the network structure (3), the extended run multiple iterations shortest path algorithm to calculate the route to circumvent Results O

[0057] (5)将(4)的结果输出到交通热点及规避路线显示模块,向用户展示。 [0057] (5) the output (4) of the result to the traffic routes avoid hot spots and a display module for users.

[0058] 移动终端模块中的用户上报事件模块具体实现如下: [0058] The mobile user terminal reports the event module module is implemented as follows:

[0059] (I)预测4种交通事件,分别为“警察临检”,“道路施工”,“交通事故”,“交通管制”,对应为软件界面中的事件上报按钮,与用户进行交互。 [0059] (I) predicted four kinds of traffic incidents, respectively, "the police rummage", "road construction", "accident", "traffic control", reported the corresponding button for the software interface of the event, interacting with the user.

[0060] ( 2)当用户点击(I)中对应事件上报按钮并且确认上报后,从定位模块中获取移动终端设备所在经纬度数据。 [0060] (2) When the user clicks (I) in a corresponding event report button and the confirmation report, the mobile terminal is located acquires latitude and longitude data from the positioning module.

[0061 ] ( 3 )将(2 )中的事件数据和位置数据通过客户端网络接口上传到服务器。 [0061] (3) (2) in the event data and the position data through the client network interface uploaded to the server.

[0062] 本发明与现有技术相比的有益效果在于: [0062] the present invention compared to the prior art that the beneficial effects:

[0063] (I)现有技术中当前仅靠个人移动终端中获取的实时路况信息来策划出行路线,准确性不高,实用性不强,多源的交通路况提示信息传播途径各异,不易获取,依赖用户自己对于交通提示信息进行判断理解的缺点,本发明采用面向群智网络的多源数据活化技术,将以往根据实时路况来制定出行线路的方式,改为集成由群智网络多源交通数据挖掘得到的交通拥堵热点,通过热点的影响时间和范围综合计算出合理的出行路线,实现了群智网络信息的充分利用和用户出行路线选择的更智能化决策;而且将不同信息来源的交通拥堵热点信息分别进行挖掘和结构化,并且提供移动终端的软件帮助用户智能规避交通热点,系统信息来源广泛,结果可靠性高,实时性好,具有预测能力,考虑因素全面,实用性强,易用性好。 [0063] (I) the prior art only by the current real-time traffic information acquired personal mobile terminal to plan travel routes, the accuracy is not high, practicality is not strong, multi-source traffic conditions prompt transmission of different, not easy obtaining, the user's own shortcomings dependency determination appreciated for message traffic, the present invention employs a multi-source data chi group activation technology for the network, the network will be integrated by the multi-source chi group according to a conventional manner to develop real-time traffic travel routes, to traffic congestion hot spots get data mining, integrated to calculate the reasonable travel route by affecting the timing and extent of hotspots to achieve a more intelligent decision-making full use of the Social Brain network information and travel route selected by the user; and the different sources of information traffic congestion hotspots were mining information and structured, and provides mobile terminal software to help users avoid traffic hotspots intelligent, system wide information sources, the results of high reliability, real-time, predictive capacity, consideration comprehensive, practical, ease of use is good.

[0064] (2)本发明所述的网页交通热点挖掘模块,能够处理群智网络中蕴含着交通路况信息的不同数据源,将其从不同的形式、格式统一挖掘构造成自定义的结构化的交通拥堵热点数据,便于信息传递和被准确理解。 [0064] (2) Web traffic hotspots mining module of the present invention, the network can handle chi group contains different data sources of traffic information, which is different from the form, the structure of a unified format mining custom configured hot traffic congestion data, and the transmission of information to facilitate accurate understanding.

[0065] (3)本发明所述的拥堵热点管理模块,能够整合不同数据源中挖掘出的交通热点,将其做重复信息去除和热点信息修正处理,并且发现各个数据源挖掘出的交通拥堵热点间的关联;而且能够人工管理和发布由机器挖掘出来的交通拥堵热点,方便实用,高效准确,实时性好。 [0065] (3) according to the present invention, hot congestion management module, capable of integrating different traffic hotspots mined data sources, which make removing duplicate information and hotspot information correction process, and found that each data source excavated traffic congestion the association between hot spots; and be able to manually manage and publish excavated by machine traffic congestion hot spots, convenient and practical, efficient and accurate, real good.

[0066] (4)本发明所述的路况规律预测模块,能够结合城市历史路况数据统计结果,各中小学地理位置和上学放学时间,主要大型企事业单位地理位置和上下班时间做出交通拥堵热点的综合预测。 [0066] (4) according to the present invention, the traffic law of prediction module, capable of binding to the historical traffic statistics data of the city, and location of each Primary school school hours, large enterprises primary location and time to make commuting traffic congestion integrated prediction of hot spots.

[0067] (5)本发明采用接入微博开放接口的方法,获取带有地理信息的区域微博文本,并且针对微博的文本特点采用文本挖掘及特征分析的技术,从微博中发现交通拥堵热点信息,并通过地域相邻的微博信息验证和增加热点可信度。 [0067] (5) The method of the present invention employs an open access interface Twitter, Twitter text acquisition area with geographic information, and the use of text mining technology and analyzed for the characteristics of the text feature Twitter, it was found from the micro-Bo traffic congestion hotspot information, and through territory adjacent tweets verification and increase confidence hotspots.

[0068] (6)本发明中设置的用户上报事件功能,能够收集用户上报事件,通过集体智慧发现更多交通热点信息,但不会过于依赖用户上报的数据,保证在在线用户数量出现变化时,系统提供的交通拥堵热点数据仍然可靠和丰富。 [0068] (6) user of the invention set in event reporting capabilities to collect user to report an event to find out more traffic hot spots through collective wisdom, but not too dependent on the data reported by the user to ensure that when changes occur in the number of online users , traffic congestion hotspot data provided by the system is still reliable and rich.

[0069] (7)本发明所述的移动终端,是开发运行在开源的移动操作系统上,能够被大量拥有智能手机和移动平板电脑的用户安装使用,安装简单快捷,软件小巧、美观、易用。 [0069] (7) the mobile terminal according to the present invention is developed to run on open source mobile operating system, which can be large and have a smart phone tablet mobile users to install, simple and quick installation, software, compact, attractive, easy to use.

[0070] (8)本发明采用的无线网络连接方式,使得能够连接因特网的各类移动终端可以通过不同的数据连接方法无差别的使用本发明的热点规避提示服务。 [0070] (8) connected to a wireless network of the present invention is employed, so that various types of mobile terminals to connect to the Internet may be used according to the present invention avoid hot tips undifferentiated service data through different connection methods.

[0071] (9)本发明移动终端所采用交通拥堵热点及规划路径展示功能,实时性好,表示清晰,通过颜色差别表示不同类型的交通拥堵热点和通过区域大小来表示热点的影响范围,同样通过路径颜色来区别原来的最短路线和智能规避计算后推荐的规避路线。 Traffic congestion hot spots and the planned path display function [0071] (9) The mobile terminal according to the present invention is used, real-time, showing clear, indicated by color differences in different types of traffic congestion hot spots and to indicate the scope of hotspots by area size, the same to distinguish between the original and intelligent recommendation after the shortest route to avoid the calculated avoidance route by route color.

[0072] (10)本发明所自主设计实现的基于热点规避的路线规划模块,复杂度低,能够实时运行,效率高,结果合理,综合考虑了各种因素的影响,经过实际验证能够有效帮助用户规避交通热点。 [0072] (10) of the present invention is based on self-designed and implemented to avoid the hot route planning module, low complexity, can run real-time, high efficiency, the result is reasonable, considering the influence of various factors, field-proven to effectively help users avoid traffic hotspots.

[0073] (11)本发明采用网页内容解析的方法,把不同的机构发布在网上的能够作为交通拥堵情况判断和预测依据的信息,通过程序不断抓取下来,并以文本挖掘技术将其转换为结构化的交通拥堵热点数据。 [0073] (11) The method of the present invention uses analytical web content, the release mechanism in different online information can be determined as the traffic congestion and based on forecast, by constantly crawling down the program, and to convert text mining structured data traffic congestion hotspots.

[0074] (12)本发明对于交通拥堵热点的影响因素设计,在基于热点规避的路线规划模块引入了气象数据来计算影响因子,在路况规律预测模块中引入中小学位置及其上学放学时间,大型企事业单位位置及其上下班时间,城市历史路况统计数据,综合预测可能发生拥堵的热点路段。 [0074] (12) The congestion hot design factors of the present invention, the introduction of the meteorological data to calculate the impact factor based hot avoidance route planning module, traffic laws introduced SECONDARY position prediction module school and school hours, large enterprises and their position on the working hours, the city's historical traffic statistics, comprehensive forecast of road congestion hot spots may occur.

[0075] (13)本发明移动终端中内置可以根据地图路网数据,以及当前发布的交通拥堵热点,综合衡量出行时间,选择规避路线的路径规划算法,能够综合各类即时获得的交通数据进行计算,算法效率高,能够立即为用户提供规避推荐,结果合理有效,稳定可靠。 [0075] (13) mobile terminal according to the present invention can be built into the road network map data, and the current release of traffic congestion hot spots, comprehensive measure travel time, select the route to avoid the path planning algorithm, able to integrate all types of real-time traffic data were obtained computing, high efficiency of the algorithm, can immediately provide users circumvent the recommendation, reasonable and effective results, stable and reliable.

[0076] (14)本发明中的系统用户,能够通过移动终端即时上报自己所在路段的路况事件,服务器能够收集用户上报的事件,并在验证其信息准确性后及时转化为交通热点数据反馈给所有用户。 [0076] (14) a user system in the present invention, can immediately report their traffic event where the link by the mobile terminal, the server can collect events reported by the user, and verify the accuracy of information in time into its transport back to the hot data all users.

附图说明 BRIEF DESCRIPTION

[0077] 图1为本发明系统整体运行结构示意图; [0077] FIG. 1 is a schematic system configuration of the present invention, the overall operation;

[0078] 图2为本发明的系统部署方式示意图; Deployment diagram of a system [0078] FIG. 2 of the present invention;

[0079] 图3为本发明的工作流程图; [0079] FIG. 3 is a flowchart of the present invention;

[0080] 图4为本发明中网页交通热点挖掘模块实现流程图; [0080] The present invention in FIG. 4 page flow chart for implementing traffic hotspots mining module;

[0081] 图5为本发明中的微博交通热点挖掘模块实现流程图; [0081] FIG. 5 is a micro-blog traffic hotspots mining module implemented flowchart invention;

[0082] 图6为本发明中路况规律预测模块实现流程图; [0082] FIG. 6 of the present invention, the traffic law of prediction module implemented flowchart;

[0083] 图7为本发明中交通热点验证与管理模块实现流程图; [0083] FIG. 7 of the present invention, the traffic management module and verify hotspot flowchart;

[0084] 图8为本发明中交通热点及规划线路显示模块实现流程图; [0084] FIG. 8 of the present invention, traffic planning and hot-line display module implemented flowchart;

[0085] 图9为本发明中热点规避计算模块实现流程图; [0085] FIG. 9 of the present invention to achieve a flowchart hot avoidance calculation module;

[0086] 图10为服务器模块中的用户报告事件处理模块实现流程图 [0086] FIG. 10 is a server module reports the user event processing module implemented flowchart

[0087] 图11移动终端模块中的用户上报事件模块实现流程图; [0087] FIG module 11 of the mobile terminal user event reporting module implemented flowchart;

[0088] 图12为本发明服务器中运行的拥堵热点管理模块的热点管理功能图形界面软件运行实例; [0088] FIG. 12 is a running instance hot congestion management function managing module hot graphical software running on the server of the present invention;

[0089] 图13为本发明的交通热点及规划线路显示模块实现的交通热点显示的实例; Transportation Planning and Hot Line [0089] FIG. 13 shows an example of the present invention, the traffic hot spot module for display;

[0090] 图14为传统地图软件路径规划实例; [0090] FIG. 14 is a map of a conventional path planning software instances;

[0091] 图15为本发明热点规避计算模块计算出的规避路线实例。 [0091] FIG. 15 hot avoid circumvention route calculation module calculates the Examples of the present invention.

具体实施方式 Detailed ways

[0092] 下面结合附图对本发明的具体实施方式作进一步说明: [0092] DETAILED DESCRIPTION OF THE DRAWINGS Embodiment of the present invention will be further described:

[0093] 首先结合图一详细说明本发明的整体模块层次结构和模块间的连接关系。 [0093] First, a detailed description in conjunction with FIG connections between integral module of the present invention and the module hierarchy.

[0094] 在图1所示,本发明的整体结构示意图中,系统整体的模块结构和其模块之间的连接方案如下: [0094] In the overall schematic configuration shown in FIG. 1, according to the present invention, the connection scheme between the system and the overall module structure which modules are as follows:

[0095] 数据源层: [0095] Data source layer:

[0096] Ml:数据源选择及连接模块,为运行在服务器端的java程序;M1模块加载了不同来源的数据,工作运行和驱动数据库,连接网络,设置网络权限。 [0096] Ml: the connection module and the data source selecting as a java program running on the server; Ml loaded module data from different sources, and the driving operation of the work database, connect to the network, the network settings permissions.

[0097] 服务器层: [0097] Server Layer:

[0098] M2:服务器用户上报事件处理模块,实现以下功能,从M7统一收集用户上报的信息,经过去除重复和准确性验证操作后,转化为交通拥堵热点。 [0098] M2: user reporting server event processing module, the following functions, unified collect information from users reporting M7, after removing duplicate and verify the accuracy of operations, the conversion of traffic congestion hotspots. 服务器上报事件处理模块,接收有服务器接口传入的用户上报事件数据,其模块运行结果输出到拥堵热点验证与管理模块M6。 Server reporting event processing module for receiving a user with a server interface incoming data reporting event, the module outputs the operation result to verify hotspot and congestion management module M6.

[0099] M3,M4,M5分别是路况信息预测模块,网页交通热点挖掘模块,微博交通热点挖掘模块,三者的模块功能都是从数据源层的Ml获取不同的源数据,从数据中挖掘出最近可能发生的交通拥堵热点情况。 [0099] M3, M4, M5 are predicted traffic information module, web traffic hot mining module, Twitter traffic hot mining module, the module features are three different sources of data acquired from the data source layer Ml, the data from the dig out the traffic congestion recent hot spots may occur.

[0100] M3:路况规律预测模块,实现以下功能:通过Ml数据库中的历史和及时实时路况信息,预测出各路段的车流高峰时间段,转化为交通拥堵热点;基于城市中小学地理位置和上学、放学时间,以及主要大型企事业单位的地理位置和上下班人流高峰时段,预测出对应地点的交通拥堵热点;路况规律预测模块基于自主收集和整理的包含上述交通数据信息的数据库,其模块运行结果输出至拥堵热点验证与管理模块M6。 [0100] M3: traffic laws prediction module, the following functions: Ml database by historical and real-time traffic information in a timely manner, to predict peak traffic periods each link, traffic jam into hot spots; urban primary and secondary school-based and geographical location , location school hours, large enterprises and the main and peak flow commuting hours, corresponding to the predicted congestion hot place; traffic laws prediction module database based on the information including the traffic data collected and collated independent of which module runs hot jam verification result is output to the management module M6.

[0101] M4:网页交通热点挖掘模块,实现以下功能:通过网络爬虫爬取、搜索引擎搜索和人工收集的方式收集与交通路况信息相关的网站和网页;通过人工判断筛选的方式选择出来源具有权威性,准确性,代表性的网站网页,作为内容解析的主要来源;通过自主设计的网站分析程序,针对网页内容组织特点,结合文本挖掘技术,挖掘出拟交通拥堵热点;网页交通热点挖掘模块面向网页数据源,其模块运行结果输出至拥堵热点验证与管理模块M6。 [0101] M4: page traffic hot spots mining module, the following functions: through web crawlers crawling, search engines and the way artificial collection of collection and traffic information related websites and web pages; screened by human judgment mode is selected sources have authoritative, accurate, representative of the website pages, the main source of content parsed; through self-designed website analysis program, for web content organization features, combined with text mining, digging out the proposed traffic congestion hot spots; web traffic hot spots mining module web page data for the source module outputs results of its operation to verify hotspot and congestion management module M6.

[0102] M5:微博交通热点挖掘模块,实现以下功能:通过新浪微博开放API接入新浪微博,获取带有地理信息的微博文本集;通过针对微博文本特点的文本挖掘程序,挖掘出微博信息中隐含的拟交通拥堵热点;能过不断自动学习微博文本的特征,不断提高交通拥堵热点信息的识别率;微博交通热点挖掘模块面向微博开放数据源,其模块运行结果输出至拥堵热点验证与管理模块M6。 [0102] M5: hot microblogging traffic mining module, the following functions: Sina microblogging Sina Weibo open API access, access to micro-blog text with a set of geographic information; through the text for microblogging characteristics of the text mining program, digging out micro-blog information implied proposed congestion hot spots; can be automatically and continuously through the micro-blog feature learning text, traffic congestion continues to improve the recognition rate of the hot spot information; Twitter traffic hot Twitter mining module for open source data, which module hot jam operation result is output to the authentication management module M6.

[0103] M6:拥堵热点验证与管理模块,实现以下功能:即时将网页交通热点挖掘模块M4、微博交通热点挖掘模块M5、路况规律预测模块M3、用户上报事件处理模块M2中挖掘出的交通拥堵热点整合并显示在热点管理界面中,服务器软件使用者可以在地图界面中查看每一个热点,判断其准确性,并人工确认是否发布该热点。 [0103] M6: congestion hot spot verification and management module, the following functions: Instant webpage traffic hotspots mining module M4, microblogging traffic hotspots mining module M5, traffic laws prediction module M3, the user reported event processing module M2 excavated traffic congestion hotspots integration and display, the user can view the server software hotspot management interface, the map interface in each hot spot, to determine its accuracy, and manually confirm release of the hot spot. 对于每一个传送到该模块的热点,可以人工进行修改和删除,同时,管理模块还能够自动地即时清除过期热点和无效热点;拥堵热点验证与管理模块,其输入数据来自网页交通热点挖掘模块M4、微博交通热点挖掘模块M5、路况规律预测模块M3、用户上报事件处理模块M2和用户的输入和编辑操作,其模块运行结果输出至服务器接口M7,向用户发布。 For each hot spot to the module, you can manually modify and delete at the same time, the management module can also automatically immediate elimination of obsolete hot and invalid hotspot; congestion hot spot verification and management module, the input data from web traffic hot spots mining module M4 microblogging traffic hotspots mining module M5, traffic laws prediction module M3, M2 user reporting event processing module and the user's input and editing operation, the output results of its operation to the server interface module M7, released to the user.

[0104] M7:为服务器接口,负责监听和处理客户端的请求,向客服端发布M6中维护的交通热点ί目息。 [0104] M7: for the server interface, is responsible for processing requests and monitor client, a traffic hot spot ί head M6 interest in maintaining the customer service side.

[0105] 客户端: [0105] Client:

[0106] Μ8:移动终端访问服务器的网络接口,通过向服务器发起请求获取热点信息。 [0106] Μ8: a network interface to the mobile terminal access to the server by initiating a hot spot information acquiring request to the server.

[0107] Μ7, Μ8为服务器与客户端之间的通信接口。 [0107] Μ7, Μ8 between server and client communications interface.

[0108] Μ9:客户端路况事件上报模块,能够帮助用户通过点击软件按钮的方式便捷地将所看到的交通路况事件、连同自身所在位置,发送给本系统服务器。 [0108] Μ9: Client traffic incident reporting module, the software can help users by clicking on the button the way traffic road events will be easily seen, along with their own location, is sent to the system server. 客户端路况事件上报模块直接面向用户,并从定位模块中获取位置数据,模块运行结果输出至客户端网络接口Μ8,由网络接口发送至本系统服务器。 Client traffic event reporting module directly to a user, and obtain location data from the location module, the output module operation results to the client network interface Μ8, transmitted by the network interface to the system server.

[0109] MlO:交通热点与规避路线显示模块,能够实现以下功能:在地图界面中显示出从所述系统服务器模块获取的交通热点,并根据不同的类型显示不同的颜色标注和影响范围;与用户进行交互,获取用户选择的出行起点、终点和规避方式,并地图界面中显示出热点规避计算模块计算得出的智能出行路径;交通热点与规避路线显示模块中交通热点显示功能数据来源于客户端接口Μ8请求得到的即时热点数据,规避路线显示功能数据来源于基于热点规避的出行路线规划模块Mll ;其模块运行结果直接向用户展示。 [0109] MlO: hot and avoid traffic route display module, it is possible to achieve the following functions: showing traffic hotspots system acquired from the server interface module in the map, and display different colors and marked according to the different type of scope; and users interact, obtain travel starting point selected by the user, endpoint and ways to avoid and show smart travel route calculated to avoid the hot spot map calculation module interface; traffic hot spots and avoid traffic hot line display module display data from the customer Μ8 instant hot side interface requests data obtained, the route to circumvent the display data from the travel route based hot avoidance planning module Mll; module showing its operation result directly to the user.

[0110] Mll:基于热点规避的出行路线规划模块,基于城市地图数据、所述系统服务器提供的热点数据以及从网络获取的气象数据计算出一条智能规避交通拥堵热点路段的出行线路。 [0110] Mll: based on hot avoid travel route planning module, based on the city map data, hotspot data provided by the server system and meteorological data obtained from the network to calculate a smart avoid traffic congestion hot section of the travel routes. 基于热点规避的出行路线规划模块数据来源为用户交互输入的信息、从网络获取的气象信息和从客户端接口中请求得到的即时交通热点数据。 Based on hot avoid travel route planning data source module for the input of user interaction information, weather information obtained from the Internet and real-time traffic data from the client interface hot spot request obtained. 其模块运行结果输出到交通热点与规避路线显示模块MlO。 Its operating result output module to avoid the traffic hotspots and route display module MlO.

[0111] M12:定位模块,负责智能终端的GPS定位;移动终端运行客户端软件后自动获取自身位置信息,其结果可被交通热点与规避路线显示模块M10,路况事件上报模块M9和基于热点规避的出行路线规划模块Mll调用。 [0111] M12: positioning module, responsible for GPS positioning intelligent terminal; the mobile terminal to run the client to automatically obtain its own location information back-end software, the results can be displayed traffic hot spots and avoid the route module M10, traffic incident reporting module M9 and based on hot avoid travel route planning module Mll call.

[0112] M13:为持有安装了本发明服户端的移动终端的用户。 [0112] M13: user holding the mobile terminal is served user terminal of the present invention is installed.

[0113] 图2说明了本系统的硬件部署方法,其中各硬件部署方案如下: [0113] FIG 2 illustrates a method for deploying hardware of the system, wherein each hardware deployment scheme is as follows:

[0114] DPl:系统管理员,负责在服务器端负责服务器维护,操作热点管理程序,确认热点发布; [0114] DPl: system administrator responsible for the server side is responsible for server maintenance, operation management program hot, hot confirm release;

[0115] DP2:系统的服务器设备,服务器设备为台式电脑,在其桌面操作系统中运行挖掘程序和交通热点管理程序,和因特网连接。 [0115] DP2: system server device, the server device to a desktop computer, run the program and tap the traffic hotspot management program in its desktop operating system, and Internet connection.

[0116] DP3:异构互联网,包括无线网络和有线网络,DP2和DP4均接入DP3,通过DP3通ί目; [0116] DP3: heterogeneous Internet, including wireless and wired networks, DP2 and DP3 DP4 have access, through the through DP3 ί mesh;

[0117] DP4:系统移动终端设备,由用户手持,带有定位装置和网卡,在任意能够接入无线互联网络的地点使用;即可以移动接入DP3中,从而与DP2连接。 [0117] DP4: a mobile terminal system, a user holds with the card positioning means and, in any location to access the wireless Internet network; DP3 i.e. mobile access can thereby connected DP2.

[0118] DP5:GPS卫星,提供公开免费的定位服务,DP44通过DP5进行设备的位置信息获取。 [0118] DP5: GPS satellite positioning to provide free public service, for device location information DP44 through DP5 acquisition.

[0119] 在图3本发明的系统工作流程图中,本发明所述系统的运行处理流程和各模块的运行方式如下: [0119] In the operation flowchart of the system of Figure 3 according to the present invention, the operation mode and the operation process of each module processing system of the present invention are as follows:

[0120] 服务器端: [0120] Server:

[0121] 服务器端处于永远运行的状态,按一定的周期从群智网络数据源中获取数据信息,该流程为SI,SI流程完成后执行流程S2,S2为热点挖掘与预测流程,流程运行包括网页交通热点挖掘模块、微博交通热点挖掘模块、路况预测模块的处理过程,在S2中,三者是并行执行的,之间不存在数据或资源的冲突。 [0121] server state run forever, acquires data from the cluster-Network data source according to a certain cycle, the flow of SI, the SI process completes execution process S2, S2 is the hot tap and the prediction process, process operation comprising web traffic hot spots mining module, microblogging traffic hotspots mining module, process module traffic prediction, in S2, the three are executed in parallel, data or resource conflict does not exist between.

[0122] S4:用户上报事件处理模块,一直在监听和收集服务端接口中接收到的用户上报事件数据,分析出交通热点后传送到S3,S4的运行和(SI,S2)并行,S4和(SI,S2)流程的结果统一输出到S3中。 [0122] S4: user reported event processing module, been monitoring and collection service termination population received user reported event data, analyze the traffic hot spots after transfer to the S3, S4 and running (SI, S2) in parallel, and S4 results (SI, S2) is output to the unified process in S3.

[0123] S3:交通热点管理,验证与发布流程,独立循环运行,接收S2,S4流程输出的结果,并将结果通过数据库服务S5保存,同时在S3流程中,用户可以对热点进行编辑,管理和发布。 [0123] S3: hot traffic management, verification and release process, independent circulation operation, receiving S2, S4 process output result, and the result stored by the database service S5, while in the S3 process, the user can edit hotspots, management and publishing.

[0124] 客户端: [0124] Client:

[0125] 客户端运行在移动终端设备上,需要用户主动运行该软件时才启动开始流程。 [0125] start the process begins when a client running on the mobile terminal device, the user needs to take the initiative to run the software.

[0126] Cl:客户端定位操作,是在客户端软件中一个独立运行的流程,每隔10秒获取设备的最新定位数据,该数据被保存在定位模块中,可供其他模块调用。 [0126] Cl: positioning operation client, the client software is a flowchart of an independent operation, every 10 seconds the latest positioning data acquisition device, the data is stored in the positioning module for the other module calls.

[0127] C2:获取地图路网相关信息,C2流程需要连接网络获取web服务结果,该流程在每次开发地图控件时刷新执行一次,当运行客户端软件时,默认自动打开地图界面,C2流程运行基于Cl的运行结果。 [0127] C2: Map of road network information, C2 processes need to connect to the network to obtain the results of a web service, the refresh process is performed once each time the development of map control when running the client software, the default automatically open the map interface, C2 processes Cl operates based on the operation result.

[0128] C3:在C2流程运行完毕后即可运行C3,C3每隔90秒循环地从服务器获取一次最新热点,并显示在地图控件中。 [0128] C3: C2 after the completion of the process run to run C3, C3 cycle every 90 seconds after an updated hotspot access from the server and displayed in the control map.

[0129] C4:基于热点规避的路线规划与显示流程C4由用户触发,由于Cl,C2,C3均在应用程序初始化之后至少完成一次,C4 一定会在C3至少运行一次后运行,并且基于C3的结果和用户输入的参数进行路线规划的计算和显示。 [0129] C4: based hot avoidance route planning processes C4 triggered the display by the user, since the Cl, C2, C3 are completed at least after application initialization time, C4 will be run run at least once at C3, based on C3's the results and the calculation parameters entered by the user and display the route planning.

[0130] C5:用户上报事件流程,由用户出发,由于Cl,C2,C3均在应用程序初始化之后至少完成一次,C5 —定会在Cl至少运行一次后运行,并获取Cl的运行结果,进行用上报事件的发送。 [0130] C5: user reporting the flow of events, starting from the user, due Cl, C2, C3 are after the application initialization completed at least once, C5 - will certainly run run at least once in Cl, and obtain operating results Cl performs send events reported with. C5通过网络接口将路况事件发送给服务器,会触发S4流程的处理。 C5 will be sent through the network interface events to server traffic, it will trigger the process S4 process.

[0131] 图4为本发明网页交通热点挖掘模块运行流程图,下面结合图4说明网页交通热点挖掘的模块的具体实现: [0131] FIG. 4 page traffic hot tap flowchart of the operation module of the present invention, described below in connection with FIG. 4 page-specific traffic hotspots mining module:

[0132] (I)通过网络爬虫,搜索引擎,人工收集的方式,获取和交通路况信息有关的网站与网页集。 [0132] (I) by a web crawler, search engine, artificial way to collect, access and traffic information and Web site related to the collection. 其中通过网络爬虫和搜索引擎获取相关网站与网页集的方法中,采用关键字主题向量匹配的方法,即网页文本内容与由交通领域关键字组成的主题向量的乘积大于0,则认为该网页为相关网页。 The method in which the access to relevant sites and page set by web crawlers and search engines, keyword themes vector matching method, that is the product of the web page text content and theme vector by keyword transport sector, is greater than 0, it is considered that the webpage is related pages. 人工收集的方式则是通过收集人员的生活经验,获取可能能够为系统提供数据的网页。 The way is collected manually by experienced collectors of life, access to the Web page may be able to provide data for the system. 该部分工作在系统开发阶段完成,不属于整个模块的日常运行流程。 This part of the work to complete the development phase of the system, not part of the daily operation of the entire process modules.

[0133] (2)通过人工判断的方式从(I)的结果中筛选出信息来源权威,准确,具有参考价值的网页,作为网页数据来源。 [0133] (2) filter through manual judging from the results of (I) in an authoritative source of information, and accurate, with reference page as page data source. 该部分工作在系统开发阶段完成,不属于整个模块的日常运行流程。 This part of the work to complete the development phase of the system, not part of the daily operation of the entire process modules.

[0134] X1:该流程获取(I) (2)中设定的特定因特网网页内容信息,根据网页内容更新特点,设定为每10分钟获取一次。 [0134] X1: The process to obtain the specific Internet webpage contents information (I) (2) set in accordance with the characteristics update web content, to acquire a set every 10 minutes.

[0135] (3)针对每一个网页的内容组织形式,具体为HTML源码的组织形式,基于HTML语言解析的程序包,设计出抓取该网页的所需内容的Java语言程序。 [0135] (3) the content of the form for each page of the organization, in particular in the form of HTML source code of the organization, based on the HTML language parsing the package, a Java language program designed to crawl the desired content of the web page.

[0136] X2:运行(3 )所述抓取程序,解析出网页正文内容,完成后结果输出到X3,触发X3流程。 [0136] X2: operation (3) of the crawler, page parsed text content, to output the result of the completion of X3, X3 triggering process.

[0137] (4)设计对(3)抓取出的内容进行词法X3、句法分析X4,特征分析与结构化信息提取X5,并转化为交通热点格式数据X7的程序。 [0137] (4) design (3) to crawl out of the lexical content X3, parsing X4, and structural characterization information extraction X5, and converted into a program format data X7 of traffic hot spots. 通过分词,分句程序对于获取的文本内容做基本处理,其特征分析的内容包括影响范围分析,严重程度语义分析。 By word, clause text content acquisition program for doing basic processing, content analysis of its features include the scope of the analysis, the severity of the semantic analysis. 结构化信息提取步骤对经过分词,分句后的文本内容进行地名抽取,时间抽取,事件抽取。 Structured information extraction step on through word, text after clause names were drawn, time extraction, event extraction. 最后将上述分析的结构构造成一个结构化的交通热点数据。 Finally, analysis of the structure of the above configured to transport a data structure of hot spot.

[0138] X3:对网页文本做词法分析,该词法分析流程采用自主开发的分词器,其分词词典特别加入城市地名和交通领域相关词汇,增强领域分词效果,其分词结果输出到X4,触发X4流程。 [0138] X3: Web page text do lexical analysis, the lexical analysis process using self-developed word breaker, whose word dictionary in particular to join the city names and transportation-related vocabulary, enhance the field of segmentation results, and outputs the segmentation result to X4, triggering X4 Process.

[0139] X4:对X3处理完成的分词结果做句法分析,采用自主开发的句法分析程序进行句法分析处理,其结果输出到X5,并触发X5流程。 [0139] X4: word processing result of the completion of the X3 do syntactic analysis, syntactic analysis program using self-developed syntactic analysis and processing, and outputs the result to the X5, X5 and trigger the process.

[0140] X5:对不同的网页调用特定的特征分析和信息抽取程序,其结果输出到X6,触发X6流程。 [0140] X5: invoke a particular feature information extraction and analysis procedures for different pages, the result is output to the X6, X6 trigger the process.

[0141] X6:信息有效性和完备性检查,对X5的结果完整性和有效性做检查,如果判定为无效数据则将数据丢弃,否则将数据输出到流程X7,并触发X7。 [0141] X6: information about the effectiveness and completeness checks on the integrity and effectiveness of the results of the X5 do check if the data is determined to be invalid data is discarded, otherwise it will output the data to process X7, and trigger X7.

[0142] (5)通过多线程java程序,异步运行(3) (4)中的程序,不断挖掘出交通热点,并将热点输出到交通热点验证与管理模块中。 [0142] (5) through multi-threaded java program, run asynchronously (3) (4) program, keeps finding the traffic hot spot, and outputs to the traffic hotspots and hotspot authentication management module.

[0143] X7:将有效的信息保存为交通热点数据,并输出到热点验证与管理模块。 [0143] X7: Save the effective information for a traffic hot data, and outputs it to the management module and verify hotspot.

[0144] X8:为10分钟的刷新周期,周期时间达成后跳转回到Xl流程。 [0144] X8: 10 minutes refresh cycle after cycle time to jump back to reach Xl process.

[0145] 图5为本发明微博交通热点挖掘模块运行流程图,下面结合图4说明微博交通热点挖掘的模块的具体实现: [0145] FIG. 5 of the present invention, Twitter traffic running hot tap flowchart module, described below in connection with FIG. 4 embodied Twitter traffic hot mining module:

[0146] ( I)连接新浪微博开放平台,获得微博内容获取授权信息。 [0146] (I) connected to an open platform Sina microblogging, microblogging content acquisition to obtain authorization information. 该步骤对应图中Yl流程。 This step corresponds to FIG Yl flow.

[0147] (2)基于(I)的授权信息,接入新浪微博开放平台,通过其微博API获取公共微博,获取频率为1500次/小时,每次获取200条公共微博。 [0147] (2) based on the authorization information (I), the access Xinlang open platform, through which access to public Twitter Twitter the API, acquisition frequency of 1500 times / hr, 200 each acquired public Twitter. 该步骤对应图中的流程Y2。 This step corresponds to the flow in FIG Y2.

[0148] (3)对于(2)的微博获取结果,筛选出带有地理信息的微博,即其微博结构体内容中经度属性和纬度属性数据不为-1的微博,以及地理位置位于特定城市范围以内的微博。 [0148] (3) to obtain (2) the result of micro-blog, Twitter screened with geographical information, i.e., its micro-blog content structure latitude and longitude attributes attribute data is -1 micro-blog, and geography located within the city limits of specific micro-blog. 该步骤对应图中的流程Y3。 This process step corresponds to Y3 in FIG.

[0149] (4)对于(3)的筛选结果,再筛选出微博内容提及交通路况相关信息的微博。 [0149] (4) For (3) screening results, and then screened micro-blog content mentioned micro-blog information related to traffic and road conditions. 筛选方法采用关键字主题向量匹配,即微博文本内容与由交通领域关键字组成的主题向量的乘积大于0,则认为该微博为主题相关微博。 Screening method using vector matching keyword themes, namely the product of microblogging content and theme vector text by keyword transport sector, is greater than 0, it is considered that the microblogging microblogging topic. 该步骤对应图中的流程Y5。 This process corresponds to step Y5 of FIG.

[0150] (5)对于(4)得出的结果,尽心词法分析,句法分析和微博短文本分析,针对微博短文本的特点进行内容特征识别与特征提取。 [0150] (5) For (4) the results, dedicated lexical analysis, syntactic analysis, and Twitter short text analysis, feature recognition and feature content extraction characteristics Twitter short text. 特征分析的内容包括影响范围分析,严重程度语义分析。 Content analysis features include the scope of the analysis, the severity of the semantic analysis. 结构化信息提取步骤对经过分词,分句后的文本内容进行地名抽取,时间抽取,事件抽取。 Structured information extraction step on through word, text after clause names were drawn, time extraction, event extraction. 最后将上述分析的结构构造成一个结构化的交通热点数据,其信息抽取方法针对微博文本和其特征的特点进行设定。 Finally, analysis of the structure of the above configured to transport a data structure of hot spot, which is set for the information extraction characteristics Twitter and wherein the text. 该步骤对应图中的Y5,Y6,Tl, Y8,是微博挖掘模块的主要流程。 This step corresponds to FIG. Y5, Y6, Tl, Y8, the main flow Twitter excavation module.

[0151] (6)通过多线程java程序,异步运行(2) (3) (4) (5)中的程序,不断挖掘出交通热点,出现位置相邻并且内容相似的热点,则合并这些热点并提高该热点的可信度。 [0151] (6) through multi-threaded java program, run asynchronously (2) (3) (4) (5) the program keeps finding the traffic hot spot occurs adjacent the position similar content and hot, these hot spots are merged and improve the credibility of the hot spots. 合并重复热点后,将热点输出到交通热点验证与管理模块中。 After the combined duplicate hotspot, the hotspot is output to the traffic hot spot authentication and management module. 图中Y9为热点信息完备性检查,若通过Y9流程,则数据进入YlO中,保存为交通热点。 FIG Y9 is a hot spot information sanity checks, if the flow through Y9, YlO in entering the data, save for a traffic hot spot.

[0152] Yll:为30秒的刷新周期,周期时间达成后跳转回到Y2流程,Yl的授权获取仅在每次服务器启动是运行一次。 [0152] Yll: refresh cycle is 30 seconds, after the period of time to reach a jump back to the process Y2, Yl authorized access to only run once each time the server is started. 循环流程为Y2,Y3,Y4,Y5,Y6,Y7,Y8,Y9,YlO0 Cyclic process is Y2, Y3, Y4, Y5, Y6, Y7, Y8, Y9, YlO0

[0153] 图6为本发明路况规律预测模块运行流程图,下面结合图4说明路况规律预测模块的具体实现: [0153] FIG. 6 traffic laws flowchart of the operation prediction module of the present invention, described below in connection with FIG. 4 embodied traffic laws prediction module:

[0154] Zl:为连接服务器数据流程,在服务器软件初始化运行时完成该流程。 [0154] Zl: a server connected to the data flow, to complete the initialization process in the server software is running.

[0155] ( I)根据数据库中存储的城市历史路况数据,结合自主设计的路况影响模型,统计出每个时刻的路况平均规律,并设定阈值预测出当日可能发生拥堵的路段和时间。 [0155] (I) according to the city's historical traffic data stored in the database, combined with road conditions affect self-designed model, the statistics of average traffic laws each time, and set the threshold to predict the time of day and road congestion may occur.

[0156] 步骤(I)中的统计数据在初始化服务器数据库时计算完成,服务器运行时仅调用该部分数据,加载历史路况统计结果对应图中流程Z2,根据统计结果分析一小时以内可能发生的交通热点对应Z4,其中预测根据自主设计的预测模型,通过预先设定的阈值判断那些路段可能发生拥堵情况。 [0156] Statistics step (I) in the calculation is done at initialization server database, call server runtime only the portion of the data, loading the historical traffic statistics corresponding to FIG Scheme Z2, analysis of traffic within one hour according to possible statistics Z4 corresponds hotspot, wherein the prediction according to the prediction model independent design, a preset threshold value by the determination that the link congestion may occur.

[0157] (2)根据数据库中存储的城市主要中小学和大型企事业单位的地址位置和上下班时间/上学放学时间,预测出可能发生拥堵的路段和时间段。 [0157] (2) and commute time stored in a database location the address of the main cities and large enterprises in the Primary / school run time, and the time period predicted link congestion may occur.

[0158] Z3:加载城市主要中小学和大型企事业单位的地址位置和上下班时间/上学放学时间流程。 [0158] Z3: load address location city's main primary and secondary schools and large enterprises and institutions and working hours / school to school time process. Z3的数据输出到Z5流程中,在Z5流程中判断一小时以内是否属于学校上学放学时间或者大型企事业单位的上下班时间,以及当天是否为节假日,在学校上学40分钟内,放学45分钟内容,学校周边的路段被认为受到拥堵影响;大型企事业单位上下班50分钟内,其附近路段被认为受到拥堵影响。 Z3, Z5 output data to the process, it is determined whether within one hour commuting time school school hours or large-sized enterprises, and whether the day is a holiday, school in the process Z5 40 minutes, 45 minutes school content , roads around the school are considered by the impact of congestion; to work within 50 minutes on large enterprises, it is considered near the road by the impact of congestion.

[0159] 运行时Z2,Z4为串行流程,Z3,Z5为串行流程,(Z2,Z4),(Z3,Z5)为并行处理。 [0159] Runtime Z2, Z4 is a serial process, Z3, Z5 is a serial process, (Z2, Z4), (Z3, Z5) is parallel processing.

[0160] (3)将(I) (2)的处理结果结构化为交通拥堵热点数据,该步骤对应流程Z6,Z7,Z6中将重复数据进行合并处理。 [0160] (3) (I) (2) into the structure of the processing result of hot traffic congestion data, the process step corresponding to Z6, Z7, Z6 repeated data in the merge process.

[0161] (4)每日运行一次(I) (2) (3)中的程序,得出当天可能发生的交通热点,并将热点输出到交通热点验证与管理模块中。 [0161] (4) runs once a day (I) (2) program (3), a hot day obtain traffic may occur, and outputs to the traffic hotspots and hotspot authentication management module.

[0162] Z8:为5分钟的运行刷新周期,周期时间达成后跳转回Z3和Z3继续刷新。 [0162] Z8: refresh cycle is run for 5 minutes after the cycle time to reach a jump back to the Z3 and Z3 continue to refresh.

[0163] 图7为本发明交通热点验证与管理模块运行流程图,下面结合图4说明交通热点验证与管理模块的具体实现: [0163] FIG. 7 traffic hot spot authentication and management module operation flow chart of the present invention, described below in connection with FIG. 4 embodied traffic hot spot authentication and management module:

[0164] (I)不间断获取从网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、用户上报事件处理模块中传入的热点,对热点进行去除重复数据操作,并显示在界面中“待审核热点”列表中。 [0164] (I) obtained from the continuous web traffic hotspots mining module, Twitter traffic hot mining module, traffic laws prediction module, a user event processing module reporting the incoming hot, hot removal of duplicate data manipulation, and displayed on interface "pending hot spots" list. 该步骤对应图中Gl和G2。 This step corresponds to FIG. Gl and G2.

[0165] (2)由软件使用者对(I)中的热点数据进行编辑,验证和审核,界面负责向使用者展示热点的属性数据和在地图中位置。 [0165] (2) of the hot data (I) for editing, validation and audit software user interface is responsible for displaying attribute data and hotspot location on a map to the user. 该步骤对应G3,提供给用户便捷的图形界面(图形界面样式见服图12),用户在图形界面中完成对新挖掘的热点的审核,编辑,发布操作。 This step corresponds to G3, to provide a convenient graphical user interface (GUI style clothing see FIG. 12), the user to complete the review of the new hot spot in the mining graphical interface, edit, publish operation.

[0166] 其中对于热点的编辑,删除操作对应图中流程G4,步骤(3)发布热点对应G5,G4,G5均有G3触发。 [0166] wherein for editing hotspots, deletion map in Scheme G4, step (3) corresponds to release hot G5, G4, G5 G3 are triggered.

[0167] (3)对于使用者在步骤(2)中确认进行发布的交通热点,加入到正在发布的交通热点队列中,允许服务端网络接口获取正在发布的交通热点队列数据以对客户端发布,同时将正在发布的热点显示在“正在发布热点”列表中 [0167] (3) for the user in step (2) in the traffic confirm release of hot, is added to the hot release of the traffic queue, to allow the server interface to obtain a network traffic hot queue data being published to release the client while being released hot spots appear in "being released hot spots" list

[0168] (4)对于(2) (3)中正在审核和正在发布的热点,循环判断其是否过时,其中轻微和中度拥塞的超时阈值为超过发生时间25分钟以上,严重拥塞的超时阈值为超过发生时间40分钟以上。 [0168] (4) (2) (3) are being reviewed and hot spots are released, the cycle determines whether obsolete, wherein the mild and moderate congestion timeout threshold value for more than 25 minutes time of occurrence of a serious congestion timeout threshold is more than 40 minutes occurred. 对于过时的热点进行删除。 Delete the outdated and hot spots. 该步骤对应图中G6。 This step corresponds to FIG G6.

[0169] G7:为30秒的运行刷新周期,周期时间达成后跳转回Gl继续获取最新挖掘出的热点。 [0169] G7: refresh cycle to run 30 seconds, after the period of time to reach a jump back Gl continue to get the latest dig out the hot spots.

[0170] 图8为本发明交通热点及规划线路显示模块运行流程图,下面结合图8说明交通热点及规划线路显示模块的具体实现: [0170] FIG. 8 flowchart modules running hot and transportation planning line display of the present invention, described below in connection with FIG. 8 embodied transportation planning and hot-line display module:

[0171] (I)加载地图控件,从定位模块中获取并在地图中显示移动终端所在位置。 [0171] (I) load control map is acquired from the positioning module and the mobile terminal displays the location on the map. 该步骤对应途中的Dl,D2流程,Dl只在初始化界面时执行一次,D2会根据信息刷新周期执行多次。 This step corresponds to the way Dl, D2 process, Dl only once, D2 perform multiple information according to a refresh period during initialization interface.

[0172] (2)获取从服务器网络接口中请求得到的即时热点数据,以浮标和覆盖物的方式显示在(I)加载好的地图控件中,并通过颜色和颜色深度区别热点的类型和影响程度。 [0172] (2) Get instant hot requested data obtained from the server network interface, a display as to the buoy and the cover (I) good load control map, and the type of impact and the color depth and color difference hotspot degree. 该步骤对应D3,D4流程,其中用橙黄色表示交通堵塞热点,红色表示交通事故热点,蓝色表示大型活动热点,紫色表示学校或者大型企事业单位人流车流高峰引发的热点。 This step corresponds D3, D4 process, which represents a traffic jam with a hot orange and red traffic accident hot, blue for hot events, and purple is hot school or large enterprises, passenger traffic peak caused. 以热点为圆心的透明圆形覆盖物表示经过计算得到的热点影响范围,透明度表示该处的影响程度。 In hot spots centered circular transparent cover represents elapsed hot scope calculated, transparency indicating the degree of influence there.

[0173] D5:为与用户交互获取路线规划基本信息的处理流程。 [0173] D5: route planning to get basic information about the interaction with the user processes.

[0174] (3)当用户需要显示规避路线时,即规避路线规划算法运行完成后,从基于热点规避的出行路线规划模块中获取计算结果,将规避路线以折线覆盖物的方式显示在(2)中已显示移动终端位置和交通热点信息的地图控件中。 [0174] (3) When the user needs to display avoidance route, i.e. to circumvent the route planning algorithm is run to completion, acquired from the calculation results based hot avoidance travel route planning module, the avoidance route in a line covering a manner shown in (2 ) has been shown to map controls mobile terminal position information and traffic hotspots. 本步骤对应图中D6,D7,其中D6由05触发,D6获取的是在基于热点规避的路线规划模块流程的输出结果。 This step corresponds to FIG D6, D7, D6 which is triggered by a 05, D6 is obtained based on the output of the route planning module avoidance of hot process.

[0175] D8:为60秒的运行刷新周期,周期时间达成后跳转回D2重新定位及刷新热点信肩、O [0175] D8: refresh cycle to run 60 seconds, after the period of time to reach a jump back to D2 reposition and refresh hot letter shoulder, O

[0176] 图9为本发明基于热点规避的出行路线规划模块运行流程图,下面结合图9说明基于热点规避的出行路线规划模块的具体实现: [0176] FIG. 9 is a flowchart of operation of the invention avoid hot spots on the travel route planning module, described below in connection with FIG. 9 embodied on a hot circumvent the travel route planning module:

[0177] (I)与用户交互获取用户对于出行线路的规划要求,具体数据包括:出发地,目的地,经由点,是否避开高速路,是否避开收费站。 [0177] (I) interacts with the user to obtain the user's requirements for planning travel routes, specific data comprising: a departure point, destination, via point, whether to avoid highways, whether to avoid toll. 该步骤对应图中Al。 This step corresponds to FIG Al.

[0178] (2)加载从服务器端获取的即时热点数据,获取即时天气数据,计算每一热点的影响程度和影响范围,计算出每个热点的速度影响因子和范围影响因子。 [0178] (2) an instant hot loading data acquired from the server, acquires weather data, and calculates the degree of influence of each hot spot scope, calculate the speed of each of the hot and scope Factors affecting factors. 该步骤对应图中A2流程。 This step corresponds to the flow A2 in FIG.

[0179] (3)根据(I)中用户选择的起始地点,获取路网数据,组建路网数据结构,并根据 [0179] (3) The (I) start location selected by the user, acquiring network data, road network data structure formation, and in accordance with

(2)中得计算结果,给路网赋权值。 The results obtained (2), the road network to empower value. 该步骤对应图中A3流程,此时路网数据和路网权值只是初始化赋值,后续运行过程中还会动态改变。 This step corresponds to A3 in FIG flow, when the road network and the road network data weights initialization only assigned during the subsequent operation will be changed dynamically.

[0180] (4)基于(3)的路网结构,运行多次迭代的扩展最短路径算法,计算出规避路线结果O [0180] (4) based on the network structure (3), the extended run multiple iterations shortest path algorithm to calculate the route to circumvent Results O

[0181] A4:基于热点规避的路径规划算法核心流程。 [0181] A4: avoid hot spots path planning algorithm based on core processes. 该算法采用多次迭代的方法,在原路网的最短路线中出现遇到热点的情况是,则采用刷新路网权值的方式,再次执行最短路优先算法,最终得到起点到终点的规避路线。 The algorithm uses multiple iterations of the method, the emergence of the hot conditions encountered, by way of the net weight of the refresh path, shortest path first algorithm to perform again in the shortest possible route network in the same way, finally get to the starting point of the route to avoid the end.

[0182] (5)将(4)的结果输出到交通热点及规避路线显示模块,向用户展示。 [0182] (5) the output (4) of the result to the traffic routes avoid hot spots and a display module for users. 该步骤对应图中A5流程。 This corresponds to step A5 of FIG flow.

[0183] 图10为本发明服务器端用户上报事件处理模块运行流程图,下面结合图10说明服务器端用户上报事件处理模块的具体实现: [0183] FIG. 10 is a flowchart of operation of the event processing module to report a user server to the invention, described below in conjunction with FIG. 10 embodied server reports the user event processing module:

[0184] (I)不间断从服务器接口的用户事件上报监听程序中获取用户上报事件数据。 [0184] (I) in the listener get the user reported event data continuously reporting from the event server user interface. 该步骤对应图中RSl流程。 This step corresponds to FIG RSl flow.

[0185] (2)对(I)的数据进行有效性判断,并对数据赋一个置信度,其中置信度的确定方法为是否有多个用户上报同一内容,并分析用户所在位置,发生所上报交通路况事件的可能性。 [0185] (2) (I) determining the validity of data, and the data to assign a confidence level, wherein the method of determining whether the confidence level is reported to have the same content a plurality of users, and analyzes the user's location, the reported occurrence the likelihood of road traffic incidents. 该步骤对应图中RS2,RS3流程。 This step corresponds to FIG RS2, RS3 process.

[0186] (3)将(2)中判断为有效的上报事件构造成交通热点数据,将数据输出到交通热点验证与管理模块,该步骤对应RS4流程。 [0186] (3) (2) is determined to be valid reporting event is configured to transport hot data, it outputs the data to the traffic hot spot authentication and management module, the process steps corresponding to RS4.

[0187] 图11为本发明移动终端模块中的用户上报事件模块运行流程图,下面结合图11说明移动终端模块中的用户上报事件模块的具体实现: [0187] FIG 11 present user of the mobile terminal module flowchart of the operation module reports the event to the invention, a specific module in a mobile terminal of a user event reporting module below in conjunction with FIG. 11:

[0188] (I)预测4种交通事件,分别为“警察临检”,“道路施工”,“交通事故”,“交通管制”,对应为软件界面中的事件上报按钮,与用户进行交互。 [0188] (I) predicted four kinds of traffic incidents, respectively, "the police rummage", "road construction", "accident", "traffic control", reported the corresponding button for the software interface of the event, interacting with the user.

[0189] RCl:获取对用点击并确认上报的交通事件 [0189] RCl: to get traffic incident reported and confirmed with a click

[0190] (2)当用户点击(I)中对应事件上报按钮并且确认上报后,从定位模块中获取移动终端设备所在经纬度数据。 [0190] (2) When the user clicks (I) in a corresponding event report button and the confirmation report, the mobile terminal is located acquires latitude and longitude data from the positioning module. 该步骤对应图中RC2,RC3流程。 This step corresponds to FIG RC2, RC3 process.

[0191] (3)将(2)中的事件数据和位置数据通过客户端网络接口上传到服务器。 [0191] (3) (2) in the event data and the position data through the client network interface uploaded to the server. 该步骤对应图中RC4流程。 This step corresponds to FIG RC4 flow.

[0192] 图12为本发明系统服务器上运行的热点验证与管理模块程序运行实例,其中其功能方案如下: [0192] FIG. 12 is a running instance with hot authentication management module programs running on the system server to the invention, wherein the functional scheme is as follows:

[0193] UI_G_1:系统新挖掘的待审核的交通热点列表; [0193] UI_G_1: new mining system hot list of pending traffic;

[0194] n_G_2:正在发布的交通热点列表; [0194] n_G_2: Hot List traffic is being released;

[0195] n_G_3:系统管理员对于热点的管理操作按钮,可以删除认为无效或者不正确的热点,审核通过的热点点击“发布热点”按钮将其转移到发布列表中,并将其发布,也可以将已经发布的热点取消,系统会自动删除过期的热点; [0195] n_G_3: system administrator to manage the operation of the hot button, you can delete considered invalid or incorrect hot, hot reviewed by clicking "Publish hot spots" button to transfer them to the published list, and publish it, you can the hot spot has been released canceled, the system will automatically delete the expired hot spots;

[0196] UI_G_4:选中热点后通过地图空间显示其位置,帮助管理员判断热点有效性; [0196] UI_G_4: When you select a hot space to display its position through the map, to help administrators determine the effectiveness of hot spots;

[0197] UI_G_5:选中热点后显示出该热点的详细信息,帮助管理员审查和判断热点有效性。 [0197] UI_G_5: When you select hot spots showing the details of the hot spots, helping administrators to review and determine the validity of hot spots.

[0198] 在图13本发明的移动终端交通拥堵热点标注显示实例,其中红色浮标表示拥堵比较严重的热点,橙色浮标表示拥堵严重的热点,绿色浮标表示轻微拥堵的热点。 [0198] Examples of labels displayed in a mobile terminal congestion hot spots in FIG. 13 of the present invention, wherein the buoy represents red hot serious congestion, orange buoy indicates severe congestion hot, hot green indicates slight congestion buoy. 点击浮标可以查看拥堵热点的具体信息,包括位置地名,拥堵原因,影响程度等。 Click buoy can view specific information about congestion hot spots, including the location names, congestion reasons, the degree of influence.

[0199] 通过图14和图15可以对比看出采用了本发明中交通拥堵智能规避算法重新规划路径之后的出行规划效果。 [0199] can be compared to the effect seen after using the travel planner congestion avoidance algorithm of the present invention, the intelligent re-planned path 15 through FIG. 14 and FIG. 图14为主流地图软件路径查询接口给出的3条出行路径,图15为本发明中交通拥堵智能规避算法对于同样起点终点,在综合考虑热点影响和路径长度的情况下计算出的规避路线。 Figure 14 is a major route mapping software interface to query three travel route given in Figure 15 of the present invention to avoid the traffic congestion intelligent algorithm for the same start and end points, in considering the calculated route the case to avoid the influence of hot and path length.

[0200] 本发明面向群智感知网络,结合传统交通信息来源,对城市交通热点进行基于数据活化技术的挖掘和预测,进而对智能终端用户提供交通拥堵热点显示和规避提示服务。 [0200] The present invention is directed to group Chi-aware network, combined with the traditional sources of information traffic, urban traffic hotspots based on data mining and predictive activation technology, thereby providing intelligent traffic congestion hot spots and avoid end-user display prompt service. 本发明系统独立,数据来源于多源群智网络,准确性好,查全率高,实时抓取热点并反馈,高效实用。 The present invention is independent of the system, multi-source data from the network group wisdom, good accuracy, the recall rate, and real-time feedback gripping hot, efficient and practical. 且本发明系统设计良好,运行稳定,安装方便,可成为供城市居民广泛实用的智慧交通信息工具,为用户顺畅出行提供有效的信息提示。 And the invention system, well-designed, stable, easy to install, can be a wide range of practical wisdom traffic information tools for urban residents, users smooth travel tips provide useful information.

[0201] 本发明未详细阐述部分属于本领域公知技术。 [0201] The present invention belongs to the part not elaborated techniques known in the art.

[0202] 以上所述,仅为本发明部分具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本领域的人员在本发明揭露的技术范围内,可轻易想到的变化或替换,都应涵盖在本发明的保护范围之内。 [0202] The above are only some of the specific embodiments of the invention, but the scope of the present invention is not limited thereto, and any person skilled in the art within the scope of the invention disclosed can be easily thought variations or replacements It shall fall within the protection scope of the present invention.

Claims (9)

1.一种基于群智网络的交通拥堵规避提示系统,其特征在于:包括服务器、无线网络和移动终端,服务器和移动终端之间采用无线网络连接;其中服务器负责面向群智网络多源交通数据挖掘和预测交通拥堵热点,并向下述移动终端提供交通热点数据接口,包括网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、拥堵热点验证与管理模块、用户报告事件处理模块和服务器无线通讯模块;移动终端,由用户持有,通过定位功能获取自身位置,通过请求服务器接口获得所在城市的交通拥堵热点和路况预测信息,通过智能热点规避模块计算出拥堵热点规避路线,移动终端包括:无线通讯模块,定位模块,基于热点规避的出行路线规划模块,用户上报路况事件模块和交通热点与规避路线显示模块; 网页交通热点挖掘模块,实现以下功能:通过网 A network-based congestion avoidance chi group presentation system, characterized by: a wireless network connection between the servers, a wireless network and a mobile terminal, a server and a mobile terminal; wherein the network server is responsible for the multi-source chi group traffic data mining and predictive traffic congestion hotspots and hotspot data interface providing traffic following a mobile terminal, comprising the traffic hot web mining module, Twitter traffic hot mining module, traffic laws prediction module, congestion hot verification and management module, the user event processing module reports server and wireless communication module; mobile terminal held by the user, get their position by positioning capabilities, access to traffic congestion hot spots and traffic information to predict where the city by requesting server interface, with intelligent calculation module hot circumvent the congested route to avoid the hot spots, mobile terminal includes: a wireless communication module, positioning module, based on the travel route to avoid the hot spots of the planning module, the user module and reporting traffic incidents and avoid the traffic hotspots route display module; web traffic hot spots mining module, the following functions: through the net 爬虫爬取与交通路况信息相关的网站和网页;通过人工判断筛选的方式选择出来源具有权威性,准确性,代表性的网站网页,作为内容解析的主要来源;通过自主设计的网站分析程序,针对网页内容组织特点,结合文本挖掘技术,挖掘出拟交通拥堵热点;网页交通热点挖掘模块面向网页数据源,其模块运行结果输出至拥堵热点验证与管理模块; 微博交通热点挖掘模块,实现以下功能:通过新浪微博开放API接入新浪微博,获取带有地理信息的微博文本集;通过针对微博文本特点的文本挖掘程序,挖掘出微博信息中隐含的拟交通拥堵热点;能够自动学习微博文本的特征,不断提高交通拥堵热点信息的识别率;微博交通热点挖掘模块面向微博开放数据源,其模块运行结果输出至拥堵热点验证与管理模块; 路况规律预测模块,实现以下功能:通过历史和及 Crawling reptile-related traffic information websites and web pages; selecting a source authoritative, accurate, representative website page screened by human judgment the way, the main source of content parsed; through self-designed website analysis program, for web content tissue characteristics, combined with text mining, digging out the proposed congestion hot spots; web traffic hot mining module for page data source, and outputs the operation result module to congestion hotspot authentication and management module; Twitter traffic hot tap module, the following function: Sina microblogging Sina Weibo open API access, access to micro-blog text with a set of geographic information; through the text for microblogging characteristics of the text mining program, dig out tweets implied in the proposed traffic congestion hot spots; automatically learning feature Twitter text, continuously improve the recognition rate information is traffic congestion hot spots; Twitter traffic hot mining module for Twitter open the data source, and outputs the operation result module to congestion hotspot authentication and management module; traffic law prediction module the following functions: through history and and 实时路况信息,预测出各路段的车流高峰时间段,转化为交通拥堵热点;基于城市中小学地理位置和上学、放学时间,以及主要大型企事业单位的地理位置和上下班人流高峰时段,预测出对应地点的交通拥堵热点;路况规律预测模块基于自主收集和整理的包含上述交通数据信息的数据库,其模块运行结果输出至拥堵热点验证与管理模块; 服务器用户上报事件处理模块,实现以下功能,统一收集用户上报的信息,经过去除重复和准确性验证操作后,转化为交通拥堵热点;接收服务器接口传入的用户上报事件数据,其模块运行结果输出到拥堵热点验证与管理模块; 拥堵热点验证与管理模块,实现以下功能:即时将网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、用户上报事件处理模块中挖掘出的交通拥堵热点整合并显示在热点管 Real-time traffic information, predicted peak traffic periods each link, traffic jam into hot spots; primary and secondary schools based on geographic location and city school, school time, as well as large enterprises and major commuter peak flow periods, predicted corresponding to the location of congestion hot spots; traffic laws prediction module database based on the independent collection and collation of containing the traffic data information, its operating results module output to congestion hot spot verification and management module; server users reporting event processing module, the following functions, unity collecting information reported by the user, and verify the accuracy after repeated removal operation, the conversion to the hot traffic congestion; server interface receiving the incoming user data reporting event, the module outputs the operation result to verify hotspot and congestion management module; hot spot authentication and congestion management module, the following functions: instant webpage traffic hotspots mining module, microblogging traffic hotspots mining module, traffic laws prediction module, users report the event processing module excavated traffic congestion hotspots integrated and displayed in the hot tube 界面中,服务器软件使用者可以在地图界面中查看每一个热点,判断其准确性,并人工确认是否发布该热点;对于每一个传送到该模块的热点,能够人工进行修改和删除,同时还能够自动地即时清除过期热点和无效热点;拥堵热点验证与管理模块,其输入数据来自网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、用户上报事件处理模块和用户的输入和编辑操作,其模块运行结果输出至服务器接口,向用户发布;服务器无线通讯模块,负责与移动终端的通信;由硬件和网络连接程序组成,负责向监听和处理客户端接口发送的数据请求; 移动终端无线通讯模块,负责与服务器的通讯;由硬件和网络连接程序组成,负责向服务器接口发送数据请求; 定位模块,负责智能终端的GPS定位;移动终端运行客户端软件后自动获取自身位置信 Interface, server software, the user can view the map screen in each hot spot, to determine its accuracy, and manually confirm release of the hot spots; for each transfer to the hot module can manually modify and delete, but also be able to automatically immediate elimination of obsolete hot and invalid hotspot; congestion hot spot verification and management module, the input data from web traffic hot spots mining module, microblogging traffic hotspots mining module, traffic laws prediction module, users report the event processing module and a user input and editing operation, its operation result module output to the server interface, released to the user; server wireless communication module, responsible for communication with the mobile terminal; hardware and the network connection program, is responsible for the data request to listen for and handle the client interface sends; mobile terminal wireless communication module, responsible for the communication with the server; the procedures of the hardware and network connections, responsible for sending a data request to the server interface; positioning module is responsible for GPS positioning intelligent terminal; mobile terminal runs the client automatically obtain its own position after the end of the software channel ,其结果可被交通热点与规避路线显示模块,路况事件上报模块和基于热点规避的出行路线规划模块调用; 交通热点与规避路线显示模块,能够实现以下功能:在地图界面中显示出从所述系统服务器模块获取的交通热点,并根据不同的类型显示不同的颜色标注和影响范围;与用户进行交互,获取用户选择的出行起点、终点和规避方式,并在地图界面中显示出热点规避计算模块计算得出的智能出行路径;交通热点与规避路线显示模块中交通热点显示功能数据来源于客户端接口请求得到的即时热点数据,规避路线显示功能数据来源于基于热点规避的出行路线规划模块;其模块运行结果直接向用户展示; 基于热点规避的出行路线规划模块,基于城市地图数据、所述系统服务器提供的热点数据以及从网络获取的气象数据计算出一条智能规避交通拥堵热点 , The results can be displayed and avoid traffic hotspots route module, traffic incident reporting module based on hot spots and avoid travel route planning module calls; avoid traffic hotspots and route display module, can achieve the following functions: displaying a map from the interface system server module obtains traffic hot spot, and displays a different color-coded and scope depending on their type; interacting with a user, obtaining travel start point selected by the user, the end point and avoidance mode and the map displayed on the interface hot spots avoidance calculation module intelligent calculated travel route; route traffic hot spots and avoid traffic hotspots display module display real-time data from the client interface request hot data obtained, the route to avoid the display based on data derived from hot to avoid the travel route planning module; it module operating results to show users directly; avoid hot spots based on the travel route planning module, based on the city map data, hotspot data provided by the server system and meteorological data obtained from the network to calculate a smart avoid traffic congestion hotspots 段的出行线路;基于热点规避的出行路线规划模块数据来源为用户交互输入的信息、从网络获取的气象信息和从客户端接口中请求得到的即时交通热点数据;其模块运行结果输出到交通热点与规避路线显示模块; 客户端路况事件上报模块,能够帮助用户通过点击软件按钮的方式便捷地将所看到的交通路况事件、连同自身所在位置,发送给本系统服务器;客户端路况事件上报模块直接面向用户,并从定位模块中获取位置数据,模块运行结果输出至客户端网络接口,由网络接口发送至本系统服务器。 Travel line segment; avoid hot spots based on the travel route planning data source module for the input of user interaction information, weather information obtained from the Internet and real-time traffic data from the client interface hot spot request obtained; its operating result output module to traffic hot spots and avoid the route display module; client traffic incident reporting module, the software can help users by clicking on the button the way traffic road events will be easily seen, along with their own location, is sent to the system server; client traffic incident reporting module directly to a user, and to obtain location data from the location module, the output module operation results to the client network interface, sent by the network interface to the system server.
2.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述网页交通热点挖掘模块具体实现如下: (1)通过网络爬虫,搜索引擎,人工收集的方式,获取和交通路况信息有关的网站与网页集,其中通过网络爬虫和搜索引擎获取相关网站与网页集的方法中,采用关键字主题向量匹配的方法,即网页文本内容与由交通领域关键字组成的主题向量的乘积大于O,则认为该网页为相关网页;人工收集的方式则是通过收集人员的生活经验,获取可能能够为系统提供数据的网页; (2)通过人工判断的方式从步骤(I)的结果中筛选出信息来源权威,准确,具有参考价值的网页,作为网页数据来源; (3)针对每一个网页的内容组织形式,具体为HTML源码的组织形式,基于HTML语言解析的程序包,设计出抓取该网页的所需内容的Java语言程序; (4)设计对步骤(3) The presentation system based congestion avoidance chi group network of claim 1, claim wherein: said web transport hot tap module is implemented as follows: (1) by the web crawler, a search engine, either manually collected, and get traffic information about the site's pages set in which access to relevant sites and web collection through a web crawler and search engine method, a method that matches the keyword theme vector that web page text content by the transport sector key compositions product theme vector is greater than O, it is considered that the webpage is pages; collected manually way is through life experiences collectors acquires web page may be able to provide data for the system; (2) by way of human judgment from step (I ) results in selected information sources authoritative, accurate, pages with a reference value, as a web data sources; (3) for content in the form of every page of the organization, specifically HTML source code form of organization, based on the HTML language parsing package , the Java programming language designed to fetch desired content of the web page; (4) the design of the step (3) 抓取出的内容进行词法、句法分析,特征分析与结构化信息提取,并转化为交通热点格式数据的程序;通过分词,分句程序对于获取的文本内容做基本处理,其特征分析的内容包括影响范围分析,严重程度语义分析;结构化信息提取步骤对经过分词,分句后的文本内容进行地名抽取,时间抽取,事件抽取;最后将上述分析的结构构造成一个结构化的交通热点数据; (5)通过多线程Java程序,异步运行步骤(3)、(4)中的过程,不断挖掘出交通热点,并将热点输出到交通热点验证与管理模块中。 Crawl out of the lexical content, syntactic analysis, and structural analysis feature information extraction, and data format conversion for a traffic hot spot program; by word, clause for text acquisition program to do the basic process, wherein the content analysis comprises scope analysis, semantic analysis severity; structured information extracting step of after the word, the text contents of the clause for names extraction, decimation in time, the event extracting; Finally configured structure of the above analysis to the traffic hot spot data a structured; (5) through multi-threaded Java programs run asynchronously step (3), (4) in the process, keeps finding the traffic hot spot, and outputs to the traffic hotspots and hotspot authentication management module.
3.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述微博交通热点挖掘模块具体实现如下: (1)连接新浪微博开放平台,获得微博内容获取授权信息; (2)基于(I)的授权信息,接入新浪微博开放平台,通过其微博API获取公共微博,获取频率为1500次/小时,每次获取200条公共微博; (3)对于(2)的微博获取结果,筛选出带有地理信息的微博,即其微博结构体内容中经度属性和纬度属性数据值不为-1的微博,以及地理位置位于特定城市范围以内的微博; (4)对于(3)的筛选结果,再筛选出微博内容提及交通路况相关信息的微博;筛选方法采用关键字主题向量匹配,即微博文本内容与由交通领域关键字组成的主题向量的乘积大于0,则认为该微博为主题相关微博; (5)对于(4)得出的结果,进行词法分析,句法分析和微博短文本分析,针对微博 3. The network-based congestion avoidance chi group presentation system, characterized in that said according to claim 1: the micro-blog traffic hot mining module embodied as follows: (1) connected Xinlang open platform, to obtain micro-blog content obtaining authorization information; (2) based on the authorization information (I), the access Xinlang open platform, through which access to public Twitter Twitter the API, acquisition frequency of 1500 times / hr, per 200 acquires the public Twitter; (3) (2) the acquisition result Twitter, Twitter screened with geographical information, i.e., its micro-blog content structure latitude and longitude attributes attribute data value is not -1 micro-blog, and location in within the city limits of specific micro-Bo; (4) the results of screening for (3), and then filter out micro-blog content mentioned microblogging road traffic-related information; screening method using vector matching keyword themes, namely microblogging and text content product theme vector by keyword transport sector, is greater than 0, it is considered that the microblogging microblogging topic; (5) to (4) the results, lexical analysis, parsing and microblogging short text analysis, for microblogging 文本的特点进行内容特征识别与特征提取,特征分析的内容包括影响范围分析,严重程度语义分析;结构化信息提取步骤对经过分词,分句后的文本内容进行地名抽取,时间抽取,事件抽取;最后将上述分析的结构构造成一个结构化的交通热点数据,其信息抽取方法针对微博文本和其特征的特点进行设定; (6)通过多线程java程序,异步运行(2) (3) (4) (5)中的程序,不断挖掘出交通热点,出现位置相邻并且内容相似的热点,则合并这些热点并提高该热点的可信度,合并重复热点后,将热点输出到交通热点验证与管理模块中。 Text characteristics content feature recognition and feature extraction, content feature analysis include the scope of the analysis, the semantic analysis severity; structured information extracting step of after the word, the text contents of the clause for names extraction, decimation in time, the event extraction; Finally, analysis of the structure of the above configured to transport a data structure of hot spot, which is set for the information extraction characteristics Twitter and characterized in the text; (6) through multi-threaded java program, run asynchronously (2) (3) (4) (5) the program keeps finding the traffic hot spot, and the contents of similar appearance position adjacent hot, these hot spots are merged and improve the credibility of the hot spot, the combined repeated hot, hot output to the traffic hotspots verification and management module.
4.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述路况规律预测模块具体实现如下: (1)根据数据库中存储的城市历史路况数据,结合自主设计的路况影响模型,统计出每个时刻的路况平均规律,并设定阈值预测出当日可能发生拥堵的路段和时间; (2)根据数据库中存储的城市主要中小学的地址位置和上学放学时间、大型企事业单位的地址位置和上下班时间,预测出可能发生拥堵的路段和时间段; (3)将(1) (2)的处理结果结构化为交通拥堵热点数据; (4)每日运行一次⑴(2) (3)中的程序,得出当天可能发生的交通热点,并将热点输出到交通热点验证与管理模块中。 4. The network-based congestion avoidance chi group presentation system, characterized in that said according to claim 1: the traffic law of prediction module is implemented as follows: (1) The city historical traffic data stored in the database, independent design binding the traffic impact models, statistics of average traffic law at each time, and set the threshold to predict the time of day and link congestion may occur; (2) primary address position of the main cities of the database stored time and from school, address location on large enterprises and working hours, and the time period predicted link congestion may occur; (3) (1) (2) into the structure of the processing result of hot traffic congestion data; (4) runs daily once ⑴ (2) program (3), draw traffic hot spots may occur that day, and output to traffic hot spot hot spot verification and management module.
5.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述服务器端用户上报事件处理模块具体实现如下: (1)不间断从服务器接口的用户事件上报监听程序中获取用户上报事件数据; (2)对(1)的数据进行有效性判断,并对数据赋一个置信度,其中置信度的确定方法为是否有多个用户上报同一内容,并分析用户所在位置,发生所上报交通路况事件的可能性; (3)将(2)中判断为有效的上报事件构造成交通热点数据,将数据输出到交通热点验证与管理模块。 According to claim 1 based on network congestion avoidance chi group presentation system, as claimed in claim wherein: the end user reporting event server processing module is implemented as follows: (1) continuously reported from the user to listen to the event server interface Get an event reporting user transactions; (2) (1) determining the validity of data, and the data to assign a confidence level, wherein the method of determining whether the confidence level is reported to have the same content a plurality of users, and analyzes the user's possibility of traffic conditions location of the event, the reported occurrence; (3) (2) is determined to be valid reporting event is configured to transport hot data, it outputs the data to the traffic hot spot authentication and management module.
6.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述交通热点验证与管理模块具体实现如下: (1)不间断获取从网页交通热点挖掘模块、微博交通热点挖掘模块、路况规律预测模块、用户上报事件处理模块中传入的热点,对热点进行去除重复数据操作,并显示在界面中“待申核热点”列表中; (2)由使用者对(1)中的热点数据进行编辑,验证和审核,界面负责向使用者展示热点的属性数据和在地图中位置; (3)对于使用者在步骤(2)中确认进行发布的交通热点,加入到正在发布的交通热点队列中,允许服务端网络接口获取正在发布的交通热点队列数据以对客户端发布,同时将正在发布的热点显示在“正在发布热点”列表中; (4)对于(2) (3)中正在审核和正在发布的热点,循环判断其是否过时,其中轻微和中度拥塞的超时阈值为超过发 6. The system of claim prompt avoidance of traffic congestion based network chi group, wherein said 1: the traffic hot spot authentication and management module is implemented as follows: (1) continuously acquires from the web traffic hotspots mining module, a micro Bo traffic hot mining module, traffic laws prediction module, a user event processing module reporting the incoming hot, hot removal of duplicate data manipulation, and displayed in the interface "nuclear Shen be hot spots" list; and (2) by the user of hot data (1) for editing, validation and audit, responsible for displaying attribute data interface hot spot and the location on a map to the user; (3) to the user in step (2) for traffic hot spots identified in the release, added to that are being published traffic hot spots in the queue, allowing the server network interface to obtain traffic hotspots queue data is being issued in order to release the client while being released hot spots appear in "being released hot spots" list; (4) to ( 2) (3) are being reviewed and the hot release, it is determined whether the cycle obsolete, wherein mild and moderate congestion threshold is exceeded timeout hair 生时间25分钟以上,严重拥塞的超时阈值为超过发生时间40分钟以上,对于过时的热点进行删除。 Reproduction time 25 minutes or more, severe congestion threshold is exceeded the timeout occurrence time more than 40 minutes, to delete obsolete hot.
7.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述交通热点及规划线路显示模块具体实现如下: (1)加载地图控件,从定位模块中获取并在地图中显示移动终端所在位置; (2)获取从服务器网络接口中请求得到的即时热点数据,以浮标和覆盖物的方式显示在⑴加载好的地图控件中,并通过颜色和颜色深度区别热点的类型和影响程度; (3)当用户需要显示规避路线时,即规避路线规划算法运行完成后,从基于热点规避的出行路线规划模块中获取计算结果,将规避路线以折线覆盖物的方式显示在(2)中已显示移动终端位置和交通热点信息的地图控件中。 According to claim 1 based on network congestion avoidance chi group presentation system, as claimed in claim wherein: said traffic planning and hot-line display module is implemented as follows: (1) loading control map is acquired from the positioning module and the mobile terminal displays the location on a map; (2) a request to get instant hot data obtained from the server network interface, a display and the cover so as to float in good map ⑴ loading control, and the color depth and color difference hotspot the type and degree of influence; (3) when the user needs to display avoidance route, i.e. to circumvent the route planning algorithm run is completed, the display acquired from the calculation results based hot avoidance travel route planning module, the avoidance route in a line covering manner in (2) has been shown to map controls mobile terminal position information and traffic hotspots.
8.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述基于热点规避的出行路线规划模块具体实现如下: (1)与用户交互获取用户对于出行线路的规划要求,具体数据包括:出发地、目的地、经由点、是否避开高速路、是否避开收费站; (2)加载从服务器端获取的即时热点数据,获取即时天气数据,计算每一热点的影响程度和影响范围,计算出每个热点的速度影响因子和范围影响因子; (3)根据⑴中用户选择的起始地点,获取路网数据,组建路网数据结构,并根据(2)中的计算结果,给路网赋权值; (4)基于(3)的路网结构,运行多次迭代的扩展最短路径算法,计算出规避路线结果; (5)将(4)的结果输出到交通热点及规避路线显示模块,向用户展示。 According to claim 1, based on network congestion avoidance chi group presentation system, wherein: the specific implementation described below based hot avoidance travel route planning module: (1) interact with a user to obtain the user for travel routes planning requirements, specific data comprising: a departure point, destination, via point, whether to avoid highways, whether to avoid toll; (2) an instant hot loading data acquired from the server, acquires weather data calculated for each hotspot the scope and extent of the influence, the speed calculated for each hot and scope factors influencing factors; (3) selected by the user according ⑴ start location, acquires road network data, road network data structure formation, and in accordance with (2) calculation results, to the road network empowerment value; (4) based on (3) of the road network structure, run multiple iterations extended shortest path algorithm, the calculated avoidance path result; (5) (4) of the result output traffic routes to avoid hot spots and display module, display to the user.
9.根据权利要求1所述的基于群智网络的交通拥堵规避提示系统,其特征在于:所述移动终端模块中的用户上报事件模块具体实现如下: (1)预测4种交通事件,分别为“警察临检”,“道路施工”,“交通事故”,“交通管制”,对应为使用界面中的事件上报按钮,与用户进行交互; (2)当用户点击(I)中对应事件上报按钮并且确认上报后,从定位模块中获取移动终端设备所在经纬度数据; (3)将(2)中的事件数据和位置数据通过客户端网络接口上传到服务器。 According to claim 1, said presentation system based congestion avoidance chi group network, wherein: said mobile terminal user reporting module event module embodied as follows: (1) four kinds of predicted traffic events, respectively, "the police rummage", "road construction", "accident", "traffic control", corresponding to use interface event reporting button, interact with the user; (2) when the user clicks (I) in the corresponding event reporting button and the confirmation report, the mobile terminal device acquires latitude and longitude data from the positioning module is located; and (3) (2) of the event and location data uploaded to the server through a client network interface.
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