CN103236163B

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

Info

Publication number: CN103236163B
Application number: CN201310155684.8A
Authority: CN
Inventors: 盛浩; 朱耿良; 李超; 熊璋; 黄延
Original assignee: Beihang University
Current assignee: Beihang University
Priority date: 2013-04-28
Filing date: 2013-04-28
Publication date: 2015-01-07
Anticipated expiration: 2033-04-28
Also published as: CN103236163A

Abstract

The invention provides a traffic jam avoiding prompting system based on a collective intelligence network. The traffic jam avoiding prompting system consists of a webpage traffic hot spot digging module, a microblog traffic hot spot digging module, a road condition rule predicting module, a jam hot spot verification and management module, a real-time traffic hot spot server, a traveling route planning module based on hot spot avoiding, a traffic hot spot and avoiding route display module and intelligent mobile phone end application software. The traffic jam avoiding prompting system faces the collective intelligence sensing network, is combined with the traditional traffic information sources, carries out digging and prediction on the urban traffic hot spots on the basis of the data activation technology, and further provides the traffic jam hot spot display and avoiding prompt service for intelligent terminal users. The traffic jam avoiding prompting system has the advantages that the data is from the multi-source collective intelligence network, the accuracy is good, the checking comprehensive rate is high, the hot spots are captured and fed back in real time, high efficiency and practicability are realized, the design is good, the operation is stable, the installation is convenient, the traffic jam avoiding prompting system can become a tool capable of providing wide and practical intelligent traffic information for urban residents, and the efficient information prompt is provided for the users to realize the smooth traveling.

Description

A kind of traffic congestion based on collective intelligence network evades prompt system

Technical field

The present invention relates to a kind of intelligent transportation focus block up focus find and evade prompt system, relate in particular to the multi-source data method for digging of field of traffic, the achievement excavated is provided to mobile terminal by the mode of wireless telecommunications, and the focus that blocks up that mobile terminal utilizes these data to carry out intelligence in conjunction with the position data of mobile terminal self evades prompting.

Background technology

Along with the development of world economy and the universal of automobile, traffic jam issue has become the Universal Problems that society exists, and blocks up and not only makes troubles to our trip, also can cause individual and social economic loss.

And along with developing rapidly of the network communications technology and popularizing fast of mobile intelligent terminal (as smart mobile phone, panel computer etc.), the awareness apparatus such as intelligent terminal has generally carried video monitoring, audio frequency, acceleration sensor.The video monitoring equipment of the video equipment that the high-end intelligent terminal of part can carry overage low side.Intelligent terminal a large amount of universal, make to build perception focusing on people and computational grid (being called for short " intelligent perception calculates ") becomes possibility.

It is that a large amount of domestic consumer uses mobile intelligent terminal as basic perception unit that intelligent perception calculates, information Perception and collection are carried out to surrounding environment and things, and form dynamic information Perception network by internet or mobile communications network, realize large-scale information cross-talk and gather, be called collective intelligence network.

The current acquisition for urban transportation real-time road, mainly pass through floating car technology, namely at city taxi, the speed measuring device that floats installed by bus, the position of self and speed data are reported to data center by each device immediately, data center assesses real-time road by the average flow speeds calculated on each road, and issues real-time road condition information.This technology is all deployed at present in the multiple major metropolitan of China.

But floating car technology only can obtain instant average flow speeds, for evaluating pavement condition limited accuracy, the impact that the traffic events of burst brings cannot be reflected, more not possess the ability of prediction traffic congestion.Therefore, the real-time road data only relying on floating car technology to provide can not well instruct people to go on a journey.And removing the data of floating car technology, traffic department is also by Homepage Publishing transport information, and radio station broadcasting traffic information, sets up in main section the modes such as transport information giant-screen to help the numerous common people and understand real-time traffic situation, enriched the means of traffic dispersion.Meanwhile, along with the rise of social networks, vast microblog users also can share the road conditions message in some oneself sections, place while trip to the good friend of oneself.Above-mentioned information source can both reflect the traffic information of part, but also has respective deficiency.Webpage is reported, the effect of the communicating information such as radio station report is bad, and needs user's active obtaining, and information screen can only provide partial information for the vehicle of local location, the Information Communication issued in microblogging, can not be really helpful to the people of a large amount of trip apart from limited.Larger problem is, even if user obtains above-mentioned relevant information, also can only go by experience the impact that judges that these information are gone on a journey on oneself, and how to evade or to tackle the traffic congestion situation recognized, and most of user trip section and road network cannot being had and be clearly familiar with, therefore also just well cannot make and evade judgement.

In addition, above-mentioned information is all separate, and going back neither one system can be integrated, by the management of these information unification and issue.And all there is the randomness of information format in above-mentioned information, the information that traffic is reported, traffic congestion message in microblogging is all colloquial text, a kind of special text mining method of current shortage is translated into the data of format, also only have after providing data formatting, better could be used and propagate.

Summary of the invention

The technology of the present invention is dealt with problems: overcome the deficiencies in the prior art, a kind of traffic congestion based on collective intelligence network is provided to evade prompt system, adopt the multi-source data activating technology towards collective intelligence network, the traffic congestion hot information of different information source is carried out excavating and structuring respectively, and provide the software of mobile terminal to help user's intelligence to evade traffic hot spot, system information wide material sources, result reliability is high, real-time is good, there is predictive ability, Consideration is comprehensive, and practical, ease for use is good.

The present invention adopts following technical scheme: a kind of traffic congestion based on collective intelligence network evades prompt system, comprises server, wireless network and mobile terminal, adopts wireless network to connect between server and mobile terminal; Wherein network in charge excavates and prediction traffic congestion focus towards collective intelligence network multi-source traffic data, and provide traffic hot spot data-interface to following mobile terminal, comprise webpage traffic hot spot and excavate module, microblogging traffic hot spot excavation module, road conditions law forecasting module, traffic hot spot checking and administration module, user report event processing module and server wireless communication module; Mobile terminal, is held by user, obtains self-position by positioning function, obtains the traffic congestion focus in city, place by request server interface, and evade module by intelligent focus and calculate the focus that blocks up and evade route, it comprises: wireless communication module; Locating module; Traffic hot spot and evade route display module; Reporting of user road conditions event module and the route planning module of evading based on focus;

Webpage traffic hot spot excavates module, realizes following functions: crawl the website relevant to traffic information and webpage by web crawlers; The way selection screened by artificial judgment is gone out source and has authority, accuracy, representational website and webpage, as the main source of Context resolution; By the web analytics program of autonomous Design, for web page contents tissue characteristic, in conjunction with Text Mining Technology, excavate and intend traffic congestion focus; Webpage traffic hot spot excavates module faces to net page data source, and its module operation result exports block up hotspot validates and administration module to.

Microblogging traffic hot spot excavates module, realizes following functions: by microblogging opening API access Sina of Sina microblogging, obtain the microblogging text set with geography information; By the text mining program for microblogging text feature, excavate plan traffic congestion focus implicit in micro-blog information; The feature of continuous automatic learning microblogging text can be crossed, improve constantly the discrimination of traffic congestion hot information; Microblogging traffic hot spot is excavated module faces and is opened data source to microblogging, and its module operation result exports block up hotspot validates and administration module to.

Road conditions law forecasting module, realizes following functions: by history and timely real-time road condition information, dopes the wagon flow section in rush hour in each section, is converted into traffic congestion focus; Based on city middle and primary schools geographic position and go to school, classes are over time, and the geographic position of main large-scale enterprises and institutions and peak traffic period on and off duty, dope the traffic congestion focus in corresponding place; Road conditions law forecasting module is based on the autonomous database comprising above-mentioned traffic data information collected and arrange, and its module operation result exports block up hotspot validates and administration module to.

Server user's reported event processing module, realizes following functions, unified information of collecting reporting of user, repeats through removing and after Accuracy Verification operation, is converted into traffic congestion focus.Server user's reported event processing module, receive the reporting of user event data having server interface to import into, its module operation result outputs to block up hotspot validates and administration module.

Block up hotspot validates and administration module, realize following functions: immediately webpage traffic hot spot is excavated module, microblogging traffic hot spot is excavated the traffic congestion focus excavated in module, road conditions law forecasting module, reporting of user event processing module and integrated and be presented in focus administration interface, server software user can check each focus in map interface, judge its accuracy, and whether manual confirmation issues this focus.Each is sent to the focus of this module, can manually modifies and delete, meanwhile, administration module automatically can also remove expired focus and invalid focus immediately; Block up hotspot validates and administration module, its input data excavate module from webpage traffic hot spot, microblogging traffic hot spot excavates module, road conditions law forecasting module, the input of reporting of user event processing module and user and editing operation, its module operation result exports server interface to, issues to user.

Server wireless communication module, is responsible for the communication with mobile terminal; Be made up of hardware (network interface card) and network attachment procedure, be responsible for the request of data monitored and process client-side interface sends.

Mobile terminal wireless communication module, is responsible for the communication with server; Be made up of hardware (network interface card) and network attachment procedure, be responsible for sending request of data to server interface.

Locating module, is responsible for the GPS location of intelligent terminal; Automatic acquisition own location information after running of mobile terminal client software, its result can by traffic hot spot with evade route display module, road conditions reporting events module and calling based on the traffic path planning module that focus is evaded.

Traffic hot spot with evade route display module, can following functions be realized: in map interface, demonstrate the traffic hot spot obtained from described system server module, and show different color marks and coverage according to different types; Carry out alternately with user, what obtain that user selects goes out beginning-of-line, terminal and evasion mode, and demonstrates focus in map interface and evade the Intelligent travel path that computing module calculates; Traffic hot spot with evade the instant hot spot data that in route display module, traffic hot spot Presentation Function obtains data from client-side interface request, evade route Presentation Function data from the traffic path planning module evaded based on focus; Its module operation result is shown directly to user.

Based on the traffic path planning module that focus is evaded, the hot spot data provided based on city map data, described system server and calculate the travel route that an intelligence evades traffic congestion focus section from the weather data of Network Capture.The traffic path planning module Data Source evaded based on focus is the information of user interactions input, the instant traffic hot spot data that obtain from the weather information of Network Capture and asking from client-side interface.Its module operation result outputs to traffic hot spot and evades route display module.

Client road conditions reporting events module, can help user to pass through to click the mode of software push buttons easily by seen traffic event, together with self position, send to native system server.The direct user oriented of client road conditions reporting events module, and position data is obtained from locating module, module operation result exports client network interface to, is sent to native system server by network interface.

Described webpage traffic hot spot is excavated module and is implemented as follows:

(1) by web crawlers, search engine, the mode artificially collected, obtains the website relevant with traffic information and webpage collection.Wherein obtain in the method for related web site and webpage collection by web crawlers and search engine, adopt the method for key word theme vector coupling, namely webpage text content is greater than 0 with the product of the theme vector be made up of field of traffic key word, then think that this webpage is related web page.The mode artificially collected is then the experience of life by collecting personnel, obtains the webpage that possibility can be systems with data.

(2) from the result of (1), filter out information source authority by the mode of artificial judgment, accurately, there is the webpage of reference value, originate as web data.

(3) for the Content Organizing form of each webpage, be specially the organizational form of html source code, based on the routine package that html language is resolved, design the Java language program of the required content capturing this webpage.

(4) design carries out morphology, syntactic analysis to the content that (3) capture out, and signature analysis and structured message extract, and are converted into the program of traffic hot spot formatted data.By participle, subordinate sentence program does base conditioning for the content of text obtained, and the content of its signature analysis comprises coverage analysis, order of severity semantic analysis.Structured message extraction step is to through participle, and the content of text after subordinate sentence carries out place name extraction, decimation in time, event extraction.Finally the structure of above-mentioned analysis is configured to structurized traffic hot spot data.

(5) by multithreading java program, the program in asynchronous operation (3) (4), constantly excavates traffic hot spot, and focus is outputted to traffic hot spot checking with administration module.

Described microblogging traffic hot spot is excavated module and is implemented as follows:

(1) connect Sina's microblogging open platform, obtain content of microblog and obtain authorization message.

(2) based on the authorization message of (1), access Sina microblogging open platform, obtain public microblogging by its microblogging API, obtaining frequency is 1500 times/hour, each acquisition 200 public microbloggings.

(3) microblogging for (2) obtains result, and filter out the microblogging with geography information, namely in its microblogging structure content, longitude attributes and longitude attribute data are not the microblogging of-1, and geographic position is positioned at the microblogging within the scope of town.

(4) for the selection result of (3), then the microblogging that content of microblog mentions traffic relevant information is filtered out.Screening technique adopts key word theme vector coupling, and namely microblogging content of text is greater than 0 with the product of the theme vector be made up of field of traffic key word, then think that this microblogging is the theme relevant microblog.

(5) for the result that (4) draw, conscientious lexical analysis, syntactic analysis and microblogging short text are analyzed, and the feature for microblogging short text carries out content characteristic identification and feature extraction.The content of signature analysis comprises coverage analysis, order of severity semantic analysis.Structured message extraction step is to through participle, and the content of text after subordinate sentence carries out place name extraction, decimation in time, event extraction.Finally the structure of above-mentioned analysis is configured to structurized traffic hot spot data, its information extraction method sets for the feature of microblogging text and its feature.

(6) by multithreading java program, the program in asynchronous operation (2) (3) (4) (5), constantly excavates traffic hot spot, occurs that position is adjacent and the focus that content is similar, then merge these focuses and improve the confidence level of this focus.Merge after repeating focus, focus is outputted to traffic hot spot checking with administration module.

Described road conditions law forecasting module is implemented as follows:

(1) according to the urban history road condition data stored in database, the road conditions in conjunction with autonomous Design affect model, count the average rule of road conditions in each moment, and set threshold value and dope the section and time that may get congestion the same day.

(2) according to the address location of the main middle and primary schools in the city stored in database and large-scale enterprises and institutions and commuter time/go to school that classes are over the time, dope the section and time period that may get congestion.

(3) result of (1) (2) is structured as traffic congestion hot spot data.

(4) program of every day operation once in (1) (2) (3), draws contingent traffic hot spot on the same day, and focus is outputted to traffic hot spot checking with administration module.

Described server-side user reported event processing module is implemented as follows:

(1) uninterrupted reporting oracle listener from the customer incident of server interface obtains reporting of user event data.

(2) carry out Effective judgement to the data of (1), and compose a degree of confidence to data, wherein whether the defining method of degree of confidence for having the same content of multiple reporting of user, and analyze user position, occur report the possibility of traffic event.

(3) will be judged as in (2) that effective reported event is configured to traffic hot spot data, data are outputted to traffic hot spot checking and administration module.

Described traffic hot spot checking is implemented as follows with administration module:

(1) uninterrupted acquisition excavates from webpage traffic hot spot the focus imported into module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module, the operation of removal repeating data is carried out to focus, and to be presented in interface in " pending focus " list.

(2) by software user, the hot spot data in (1) is edited, checking and examination & verification, interface be responsible for user show focus attribute data and in map position.

(3) user is confirmed in step (2) to the traffic hot spot carrying out issuing, join in the traffic hot spot queue of issuing, the focus issued, with to client issue, is presented in " issuing focus " list by the traffic hot spot queuing data allowing service end network interface to obtain to issue simultaneously.

(4) for the focus audited in (2) (3) and issuing, whether it out-of-date in cycle criterion, the timeout threshold that wherein slight and moderate is congested is for exceeding time of origin more than 25 minutes, and the timeout threshold of heavy congestion is for exceeding time of origin more than 40 minutes.Out-of-date focus is deleted.

Described traffic hot spot and planning circuit display module are implemented as follows:

(1) load Map OCX, obtain from locating module and in map, show mobile terminal position.

(2) obtain from server network interface, ask the instant hot spot data that obtains, be presented in the Map OCX that (1) has loaded in the mode of buoy and coverture, and distinguished type and the influence degree of focus by color and color depth.

(3) when user needs display to evade route, namely evade after Route Planning Algorithm run, from the traffic path planning module evaded based on focus, obtaining result of calculation, to be presented at evading route in the mode of broken line coverture in the Map OCX having shown mobile terminal locations and traffic hot spot information in (2).

The described traffic path planning module evaded based on focus is implemented as follows:

(1) obtain the planning requirement of user for travel route with user interactions, concrete data comprise: departure place, destination, via point, whether avoid expressway, whether avoid charge station.

(2) load the instant hot spot data obtained from server end, obtain instant weather data, calculate influence degree and the coverage of each focus, calculate the rate Summing Factor range influence factor of each focus.

(3) origin that in basis (1), user selects, obtains road net data, sets up road net data structure, and obtains result of calculation according in (2), composes weights to road network.

(4) based on the road network structure of (3), run the Extend short path algorithm of successive ignition, calculate and evade route result.

(5) result of (4) outputted to traffic hot spot and evade route display module, showing to user.

Reporting of user event module in mobile terminal module is implemented as follows:

(1) predict 4 kinds of traffic events, be respectively " police's visiting ", " road construction ", " traffic hazard ", " traffic control ", correspond to the reporting events button in software interface, carry out alternately with user.

(2) after user clicks corresponding reporting events button in (1) and confirm to report, from locating module, mobile terminal device place longitude and latitude data are obtained.

(3) event data in (2) and position data are uploaded onto the server by client network interface.

The present invention's beneficial effect is compared with prior art:

(1) in prior art current only by the real-time road condition information that obtains in individual mobile terminal to plan traffic path, accuracy is not high, practicality is not strong, the traffic information route of transmission of multi-source is different, not easily obtain, rely on the shortcoming that user oneself carries out for traffic information judging to understand, the present invention adopts the multi-source data activating technology towards collective intelligence network, the mode of row line will be made according to real-time road in the past, change into and integratedly excavated the traffic congestion focus obtained by collective intelligence network multi-source traffic data, rational traffic path is gone out by the influence time of focus and scope COMPREHENSIVE CALCULATING, what achieve collective intelligence network information makes full use of the more intelligent decision making selected with user's traffic path, and the traffic congestion hot information of different information source is carried out excavating and structuring respectively, and provide the software of mobile terminal to help user's intelligence to evade traffic hot spot, system information wide material sources, result reliability is high, real-time is good, has predictive ability, and Consideration is comprehensive, practical, ease for use is good.

(2) webpage traffic hot spot of the present invention excavates module, the different pieces of information source of containing traffic information can be processed in collective intelligence network, it is excavated be configured to self-defining structurized traffic congestion hot spot data from different forms, uniform format, is convenient to information transmission and by accurate understanding.

(3) the focus administration module that blocks up of the present invention, can integrate the traffic hot spot excavated in different pieces of information source, is done duplicate message and removes and hot information correcting process, and find the association between the traffic congestion focus that each data source is excavated; And can labor management and issue by machine excavation traffic congestion focus out, convenient and practical, efficiently and accurately, real-time is good.

(4) road conditions law forecasting module of the present invention, can in conjunction with urban history road condition data statistics, each middle and primary schools geographic position and go to school that classes are over the time, main large-scale enterprises and institutions geographic position and commuter time make the integrated forecasting of traffic congestion focus.

(5) the present invention adopts the method for access microblogging open interface, obtain the region microblogging text with geography information, and the text feature for microblogging adopts the technology of text mining and signature analysis, from microblogging, find traffic congestion hot information, and verified by the micro-blog information that region is adjacent and increase focus confidence level.

(6) the reporting of user Event Function arranged in the present invention, reporting of user event can be collected, more traffic hot spot information is found by group wisdom, but too can not rely on the data of reporting of user, ensure when change appears in online user number amount, the traffic congestion hot spot data that system provides is still reliable and abundant.

(7) mobile terminal of the present invention, be developing operation on the Mobile operating system of increasing income, can be used by the user installation having smart mobile phone and mobile panel computer in a large number, install simple and fast, software is small and exquisite, attractive in appearance, easy-to-use.

(8) the wireless network connected mode of the present invention's employing, all kinds of mobile terminals making it possible to connect the Internet can evade prompting service by indiscriminate use focus of the present invention by different data connecting methods.

(9) mobile terminal of the present invention adopts traffic congestion focus and path planning display function, real-time is good, it is clear to represent, represent dissimilar traffic congestion focus by color distinction and represented the coverage of focus by area size, equally by path color distinguish original minimal path and intelligence evade calculate after recommend evade route.

(10) the route planning module of evading based on focus that realizes of institute of the present invention autonomous Design, complexity is low, can real time execution, efficiency is high, result is reasonable, has considered the impact of various factors, can effectively help user to evade traffic hot spot through actual verification.

(11) the present invention's method of adopting web page contents to resolve, different mechanisms is distributed on and online can judges and the information of basis for forecasting as traffic congestion situation, constantly capture by program, and be converted into structurized traffic congestion hot spot data with Text Mining Technology.

(12) the present invention designs for the influence factor of traffic congestion focus, introduce weather data in the route planning module of evading based on focus and calculate factor of influence, middle and primary schools position is introduced and goes to school that classes are over the time in road conditions law forecasting module, large-scale enterprises and institutions position and commuter time thereof, urban history road conditions statistics, the focus section that integrated forecasting may get congestion.

(13) built-in in mobile terminal of the present invention can road net data according to the map, and the traffic congestion focus of current issue, the comprehensive measurement travel time, select the path planning algorithm evading route, can the traffic data of comprehensive all kinds of instant acquisition calculate, efficiency of algorithm is high, can immediately for user provides avoidance recommendations, result is rationally effective, reliable and stable.

(14) system user in the present invention, immediately the road conditions event in oneself section, place can be reported by mobile terminal, server can collect the event of reporting of user, and is converted into traffic hot spot data feedback in time to all users after its information accuracy of checking.

Accompanying drawing explanation

Fig. 1 is present system overall operation structural representation;

Fig. 2 is system deployment way schematic diagram of the present invention;

Fig. 3 is workflow diagram of the present invention;

Fig. 4 is that in the present invention, webpage traffic hot spot excavates module realization flow figure;

Fig. 5 is that the microblogging traffic hot spot in the present invention excavates module realization flow figure;

Fig. 6 is road conditions law forecasting module realization flow figure in the present invention;

Fig. 7 is traffic hot spot checking and administration module realization flow figure in the present invention;

Fig. 8 is traffic hot spot and planning circuit display module realization flow figure in the present invention;

Fig. 9 is that in the present invention, focus evades computing module realization flow figure;

Figure 10 is the user report event processing module realization flow figure in server module

Reporting of user event module realization flow figure in Figure 11 mobile terminal module;

Figure 12 is the focus management function graphic interface software running example of the focus administration module that blocks up run in server of the present invention;

Figure 13 is the example of the traffic hot spot display that traffic hot spot of the present invention and planning circuit display module realize;

Figure 14 is traditional map software path planning example;

Figure 15 be focus of the present invention evade that computing module calculates evade route example.

Embodiment

Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described further:

First composition graphs one describes the annexation of integral module hierarchical structure of the present invention and intermodule in detail.

Shown in Fig. 1, in one-piece construction schematic diagram of the present invention, the connection scheme between the modular structure of entire system and its module is as follows:

Data active layer:

M1: data source capability and link block, for operating in the java program of server end; The M1 module loading data of separate sources, work runs and driving data storehouse, and interconnection network, arrange network legal power.

Server layer:

M2: server user's reported event processing module, realizes following functions, from the unified information of collecting reporting of user of M7, repeats through removing and after Accuracy Verification operation, is converted into traffic congestion focus.Server reported event processing module, receive the reporting of user event data having server interface to import into, its module operation result outputs to block up hotspot validates and administration module M6.

M3, M4, M5 are traffic information prediction module respectively, webpage traffic hot spot excavates module, microblogging traffic hot spot excavates module, and the functions of modules of three is all obtain different source datas from the M1 of data active layer, excavates nearest contingent traffic congestion focus situation from data.

M3: road conditions law forecasting module, realizes following functions: by the history in M1 database and timely real-time road condition information, dopes the wagon flow section in rush hour in each section, is converted into traffic congestion focus; Based on city middle and primary schools geographic position and go to school, classes are over time, and the geographic position of main large-scale enterprises and institutions and peak traffic period on and off duty, dope the traffic congestion focus in corresponding place; Road conditions law forecasting module is based on the autonomous database comprising above-mentioned traffic data information collected and arrange, and its module operation result exports block up hotspot validates and administration module M6 to.

M4: webpage traffic hot spot excavate module, realize following functions: crawled by web crawlers, search engine search collect the website relevant to traffic information and webpage with the mode artificially collected; The way selection screened by artificial judgment is gone out source and has authority, accuracy, representational website and webpage, as the main source of Context resolution; By the web analytics program of autonomous Design, for web page contents tissue characteristic, in conjunction with Text Mining Technology, excavate and intend traffic congestion focus; Webpage traffic hot spot excavates module faces to net page data source, and its module operation result exports block up hotspot validates and administration module M6 to.

M5: microblogging traffic hot spot excavates module, realizes following functions: by microblogging opening API access Sina of Sina microblogging, obtain the microblogging text set with geography information; By the text mining program for microblogging text feature, excavate plan traffic congestion focus implicit in micro-blog information; The feature of continuous automatic learning microblogging text can be crossed, improve constantly the discrimination of traffic congestion hot information; Microblogging traffic hot spot is excavated module faces and is opened data source to microblogging, and its module operation result exports block up hotspot validates and administration module M6 to.

M6: block up hotspot validates and administration module, realize following functions: immediately webpage traffic hot spot is excavated module M4, microblogging traffic hot spot is excavated the traffic congestion focus excavated in module M5, road conditions law forecasting module M3, reporting of user event processing module M2 and integrated and be presented in focus administration interface, server software user can check each focus in map interface, judge its accuracy, and whether manual confirmation issues this focus.Each is sent to the focus of this module, can manually modifies and delete, meanwhile, administration module automatically can also remove expired focus and invalid focus immediately; Block up hotspot validates and administration module, its input data excavate module M4 from webpage traffic hot spot, microblogging traffic hot spot excavates module M5, the input of road conditions law forecasting module M3, reporting of user event processing module M2 and user and editing operation, its module operation result exports server interface M7 to, issues to user.

M7: be server interface, is responsible for the request monitoring and process client, issues the traffic hot spot information safeguarded in M6 to customer side.

Client:

M8: the network interface of mobile terminal accessing server, by initiating acquisition request hot information to server.

M7, M8 are the communication interface between server and client.

M9: client road conditions reporting events module, can help user to pass through to click the mode of software push buttons easily by seen traffic event, together with self position, send to native system server.The direct user oriented of client road conditions reporting events module, and position data is obtained from locating module, module operation result exports client network interface M8 to, is sent to native system server by network interface.

M10: traffic hot spot with evade route display module, can following functions be realized: in map interface, demonstrate the traffic hot spot obtained from described system server module, and show different color marks and coverage according to different types; Carry out alternately with user, what obtain that user selects goes out beginning-of-line, terminal and evasion mode, and demonstrates focus in map interface and evade the Intelligent travel path that computing module calculates; Traffic hot spot with evade the instant hot spot data that traffic hot spot Presentation Function in route display module asks data from client-side interface M8 to obtain, evade route Presentation Function data from the traffic path planning module M11 evaded based on focus; Its module operation result is shown directly to user.

M11: the traffic path planning module evaded based on focus, the hot spot data provided based on city map data, described system server and calculate the travel route that an intelligence evades traffic congestion focus section from the weather data of Network Capture.The traffic path planning module Data Source evaded based on focus is the information of user interactions input, the instant traffic hot spot data that obtain from the weather information of Network Capture and asking from client-side interface.Its module operation result outputs to traffic hot spot and evades route display module M10.

M12: locating module, is responsible for the GPS location of intelligent terminal; Automatic acquisition own location information after running of mobile terminal client software, its result can by traffic hot spot with evade route display module M10, road conditions reporting events module M9 and calling based on the traffic path planning module M11 that focus is evaded.

M13: installed the user that the present invention takes the mobile terminal of family end for holding.

Fig. 2 describes the Hardware Subdivision arranging method of native system, and wherein each hardware deployment scheme is as follows:

DP1: system manager, is responsible for safeguarding at server end charge server, operation focus supervisory routine, confirms that focus is issued;

DP2: the server apparatus of system, server apparatus is desktop computer, runs excavation program and traffic hot spot supervisory routine in its desktop operating system, and Internet connection.

DP3: isomery internet, comprise wireless network and cable network, DP2 and DP4 all accesses DP3, is communicated by DP3;

DP4: system and mobile terminal equipment, hand-held by user, with locating device and network interface card, use in the place can accessing arbitrarily wireless internet network; Namely can move in access DP3, thus be connected with DP2.

DP5:GPS satellite, provides openly free positioning service, and the positional information that DP44 carries out equipment by DP5 obtains.

In Fig. 3 working-flow figure of the present invention, the operation treatment scheme of system of the present invention and the method for operation of each module as follows:

Server end:

Server end is in the state forever run, from collective intelligence network data source, data message is obtained by certain cycle, this flow process is S1, execution flow process S2 after S1 flow process completes, S2 is that focus excavates and prediction flow process, and process flow operation comprises the processing procedure that webpage traffic hot spot excavates module, microblogging traffic hot spot excavates module, road condition predicting module, in S2, three is executed in parallel, between there is not the conflict of data or resource.

S4: reporting of user event processing module, is monitoring always and is collecting the reporting of user event data received in service end interface, being sent to S3 after analyzing traffic hot spot, the operation of S4 and (S1, S2) parallel, the result of S4 and (S1, S2) flow process is unified to be outputted in S3.

S3: traffic hot spot manages, checking and issue flow process, independent loops is run, and receives the result that S2, S4 flow process exports, and result is preserved by database service S5, and simultaneously in S3 flow process, user can edit focus, manages and issues.

Client:

Client is run on the mobile terminal device, just starts and start flow process when needing user initiatively to run this software.

C1: client location operates, and is the flow process of an independent operating in client software, obtained the latest location data of equipment every 10 seconds, these data are stored in locating module, can call for other modules.

C2: obtain map road network relevant information, C2 requirements of process interconnection network obtains web services result, and this flow process refreshes execution once, when running client software when each exploitation Map OCX, give tacit consent to interface of automatically spreading out the map, C2 process flow operation is based on the operation result of C1.

C3: can run C3 after C2 process flow operation, C3 cyclically obtained once up-to-date focus from server every 90 seconds, and were presented in Map OCX.

C4: the route planning evaded based on focus and flow for displaying C4 are triggered by user, due to C1, C2, C3 all at least completes once after application initialization, C4 is bound at least run at C3 once run afterwards, and carries out calculating and the display of route planning based on the result of C3 and the parameter of user's input.

C5: reporting of user event flow process, by user, because C1, C2, C3 all at least complete once after application initialization, C5 is bound at least run at C1 once run afterwards, and obtains the operation result of C1, carries out the transmission with reported event.Road conditions event is sent to server by network interface by C5, can trigger the process of S4 flow process.

Fig. 4 is that webpage traffic hot spot of the present invention excavates module operational flow diagram, and the specific implementation of the module that webpage traffic hot spot is excavated is described below in conjunction with Fig. 4:

(1) by web crawlers, search engine, the mode artificially collected, obtains the website relevant with traffic information and webpage collection.Wherein obtain in the method for related web site and webpage collection by web crawlers and search engine, adopt the method for key word theme vector coupling, namely webpage text content is greater than 0 with the product of the theme vector be made up of field of traffic key word, then think that this webpage is related web page.The mode artificially collected is then the experience of life by collecting personnel, obtains the webpage that possibility can be systems with data.This some work completed in the system development stage, did not belong to the day-to-day operation flow process of whole module.

(2) from the result of (1), filter out information source authority by the mode of artificial judgment, accurately, there is the webpage of reference value, originate as web data.This some work completed in the system development stage, did not belong to the day-to-day operation flow process of whole module.

X1: this flow process obtains the particular the Internet content information of setting in (1) (2), according to web page contents regeneration characteristics, is set as obtaining once for every 10 minutes.

X2: run (3) described capture program, parse Web page text content, after completing, result outputs to X3, triggers X3 flow process.

(4) design carries out morphology X3, syntactic analysis X4 to the content that (3) capture out, and signature analysis and structured message extract X5, and are converted into the program of traffic hot spot formatted data X7.By participle, subordinate sentence program does base conditioning for the content of text obtained, and the content of its signature analysis comprises coverage analysis, order of severity semantic analysis.Structured message extraction step is to through participle, and the content of text after subordinate sentence carries out place name extraction, decimation in time, event extraction.Finally the structure of above-mentioned analysis is configured to structurized traffic hot spot data.

X3: do lexical analysis to web page text, this lexical analysis flow process adopts the segmenter of independent development, and its dictionary for word segmentation adds urban place name and field of traffic relative words especially, and strengthen field participle effect, its word segmentation result outputs to X4, triggers X4 flow process.

X4: do syntactic analysis to the word segmentation result that X3 process completes, adopt the parser of independent development to carry out syntactic analysis process, its result outputs to X5, and triggers X5 flow process.

X5: call specific signature analysis and information extraction program to different webpages, its result outputs to X6, triggers X6 flow process.

X6: effectiveness of information and completeness inspection, checks the result completeness and efficiency of X5, if it is determined that then data abandoned for invalid data, otherwise data is outputted to flow process X7, and trigger X7.

X7: effective information is saved as traffic hot spot data, and output to hotspot validates and administration module.

X8: the refresh cycle being 10 minutes, reaches rear redirect cycle length and gets back to X1 flow process.

Fig. 5 is that microblogging traffic hot spot of the present invention excavates module operational flow diagram, and the specific implementation of the module that microblogging traffic hot spot is excavated is described below in conjunction with Fig. 4:

(1) connect Sina's microblogging open platform, obtain content of microblog and obtain authorization message.Y1 flow process in this step corresponding diagram.

(2) based on the authorization message of (1), access Sina microblogging open platform, obtain public microblogging by its microblogging API, obtaining frequency is 1500 times/hour, each acquisition 200 public microbloggings.Flow process Y2 in this step corresponding diagram.

(3) microblogging for (2) obtains result, and filter out the microblogging with geography information, namely in its microblogging structure content, longitude attributes and longitude attribute data are not the microblogging of-1, and geographic position is positioned at the microblogging within the scope of town.Flow process Y3 in this step corresponding diagram.

(4) for the selection result of (3), then the microblogging that content of microblog mentions traffic relevant information is filtered out.Screening technique adopts key word theme vector coupling, and namely microblogging content of text is greater than 0 with the product of the theme vector be made up of field of traffic key word, then think that this microblogging is the theme relevant microblog.Flow process Y5 in this step corresponding diagram.

(5) for the result that (4) draw, conscientious lexical analysis, syntactic analysis and microblogging short text are analyzed, and the feature for microblogging short text carries out content characteristic identification and feature extraction.The content of signature analysis comprises coverage analysis, order of severity semantic analysis.Structured message extraction step is to through participle, and the content of text after subordinate sentence carries out place name extraction, decimation in time, event extraction.Finally the structure of above-mentioned analysis is configured to structurized traffic hot spot data, its information extraction method sets for the feature of microblogging text and its feature.Y5 in this step corresponding diagram, Y6, Y7, Y8 are the main flow that microblogging excavates module.

(6) by multithreading java program, the program in asynchronous operation (2) (3) (4) (5), constantly excavates traffic hot spot, occurs that position is adjacent and the focus that content is similar, then merge these focuses and improve the confidence level of this focus.Merge after repeating focus, focus is outputted to traffic hot spot checking with administration module.In figure, Y9 is the inspection of hot information completeness, if by Y9 flow process, then data enter in Y10, save as traffic hot spot.

Y11: the refresh cycle being 30 seconds, reaches rear redirect cycle length and gets back to Y2 flow process, and it is only run once at each startup of server that the mandate of Y1 obtains.Circulation process is Y2, Y3, Y4, Y5, Y6, Y7, Y8, Y9, Y10.

Fig. 6 is road conditions law forecasting module operational flow diagram of the present invention, and the specific implementation of road conditions law forecasting module is described below in conjunction with Fig. 4:

Z1: be connection server data flow, complete this flow process when server software initialization runs.

Statistics in step (1) has calculated when initialization server database, server only calls this partial data when running, flow process Z2 in loading history road conditions statistics corresponding diagram, according to analysis of statistical results corresponding Z4 of contingent traffic hot spot within a hour, wherein predict the forecast model according to autonomous Design, may to be got congestion situation by those sections of threshold decision preset.

Z3: the address location of the main middle and primary schools in loading city and large-scale enterprises and institutions and commuter time/time flow of going to school that classes are over.The data of Z3 output in Z5 flow process, in Z5 flow process, judge whether to belong within one hour the commuter time of go to school that classes are over time or large-scale enterprises and institutions of school, and whether the same day is festivals or holidays, go to school in 40 minutes in school, 45 minutes contents that classes are over, the section of school's periphery is considered to be subject to impact of blocking up; In 50 minutes on and off duty of large-scale enterprises and institutions, near it, section is considered to be subject to impact of blocking up.

During operation, Z2, Z4 are serial flow process, and Z3, Z5 are serial flow process, (Z2, Z4), and (Z3, Z5) is parallel processing.

(3) result of (1) (2) is structured as traffic congestion hot spot data, in this step corresponding flow process Z6, Z7, Z6, repeating data is carried out merging treatment.

Z8: the operation refresh cycle being 5 minutes, reaches rear redirect cycle length and returns Z3 and Z3 continuation refreshing.

Fig. 7 is traffic hot spot of the present invention checking and administration module operational flow diagram, and the specific implementation of traffic hot spot checking and administration module is described below in conjunction with Fig. 4:

(1) uninterrupted acquisition excavates from webpage traffic hot spot the focus imported into module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module, the operation of removal repeating data is carried out to focus, and to be presented in interface in " pending focus " list.G1 and G2 in this step corresponding diagram.

(2) by software user, the hot spot data in (1) is edited, checking and examination & verification, interface be responsible for user show focus attribute data and in map position.The corresponding G3 of this step, be supplied to user's graphical interfaces (graphical interfaces pattern see take Figure 12) easily, user completes the examination & verification to the new focus excavated in graphical interfaces, and editor issues operation.

Wherein for the editor of focus, flow process G4 in deletion action corresponding diagram, step (3) issues focus corresponding G5, G4, G5 all has G3 to trigger.

(3) user is confirmed in step (2) to the traffic hot spot carrying out issuing, join in the traffic hot spot queue of issuing, the focus issued, with to client issue, is presented in " issuing focus " list by the traffic hot spot queuing data allowing service end network interface to obtain to issue simultaneously

(4) for the focus audited in (2) (3) and issuing, whether it out-of-date in cycle criterion, the timeout threshold that wherein slight and moderate is congested is for exceeding time of origin more than 25 minutes, and the timeout threshold of heavy congestion is for exceeding time of origin more than 40 minutes.Out-of-date focus is deleted.G6 in this step corresponding diagram.

G7: the operation refresh cycle being 30 seconds, reaches rear redirect cycle length and returns the up-to-date focus excavated of G1 continuation acquisition.

Fig. 8 is traffic hot spot of the present invention and planning circuit display module operational flow diagram, and the specific implementation of traffic hot spot and planning circuit display module is described below in conjunction with Fig. 8:

(1) load Map OCX, obtain from locating module and in map, show mobile terminal position.D1 in the corresponding way of this step, D2 flow process, D1 only performs once when initialization interface, and D2 can perform repeatedly according to the information refresh cycle.

(2) obtain from server network interface, ask the instant hot spot data that obtains, be presented in the Map OCX that (1) has loaded in the mode of buoy and coverture, and distinguished type and the influence degree of focus by color and color depth.Corresponding D3, the D4 flow process of this step, wherein represents traffic jam focus with orange-yellow, red expression traffic hazard focus, and blue expression large-scale activity focus, purple represents the focus that school or large-scale enterprises and institutions stream of people wagon flow peak are caused.Take focus as the focus coverage that the transparent circular coverture in the center of circle represents through calculating, transparency represents the influence degree at this place.

D5: for obtaining the treatment scheme of route planning essential information with user interactions.

(3) when user needs display to evade route, namely evade after Route Planning Algorithm run, from the traffic path planning module evaded based on focus, obtaining result of calculation, to be presented at evading route in the mode of broken line coverture in the Map OCX having shown mobile terminal locations and traffic hot spot information in (2).D6, D7 in this step corresponding diagram, wherein D6 is triggered by D5, and what D6 obtained is Output rusults at the route planning block process evaded based on focus.

D8: the operation refresh cycle being 60 seconds, reaches rear redirect cycle length and returns D2 and reorientate and refresh hot information.

Fig. 9 the present invention is based on the traffic path planning module operational flow diagram that focus evades, and the specific implementation of the traffic path planning module evaded based on focus is described below in conjunction with Fig. 9:

(1) obtain the planning requirement of user for travel route with user interactions, concrete data comprise: departure place, destination, via point, whether avoid expressway, whether avoid charge station.A1 in this step corresponding diagram.

(2) load the instant hot spot data obtained from server end, obtain instant weather data, calculate influence degree and the coverage of each focus, calculate the rate Summing Factor range influence factor of each focus.A2 flow process in this step corresponding diagram.

(3) origin that in basis (1), user selects, obtains road net data, sets up road net data structure, and obtains result of calculation according in (2), composes weights to road network.A3 flow process in this step corresponding diagram, now road net data and road network weights are initialization assignment, also can dynamically change in follow-up operation process.

A4: the path planning algorithm core process evaded based on focus.This algorithm adopts the method for successive ignition, occurs that the situation running into focus is in the minimal path of former road network, then adopt the mode refreshing road network weights, and again perform shortest path priority algorithm, what finally obtain origin-to-destination evades route.

(5) result of (4) outputted to traffic hot spot and evade route display module, showing to user.A5 flow process in this step corresponding diagram.

Figure 10 is server-side user reported event processing module operational flow diagram of the present invention, and the specific implementation of server-side user reported event processing module is described below in conjunction with Figure 10:

(1) uninterrupted reporting oracle listener from the customer incident of server interface obtains reporting of user event data.RS1 flow process in this step corresponding diagram.

(2) carry out Effective judgement to the data of (1), and compose a degree of confidence to data, wherein whether the defining method of degree of confidence for having the same content of multiple reporting of user, and analyze user position, occur report the possibility of traffic event.RS2, RS3 flow process in this step corresponding diagram.

(3) will be judged as in (2) that effective reported event is configured to traffic hot spot data, data are outputted to traffic hot spot checking and administration module, the corresponding RS4 flow process of this step.

Figure 11 is the reporting of user event module operational flow diagram in mobile terminal module of the present invention, and the specific implementation of the reporting of user event module in mobile terminal module is described below in conjunction with Figure 11:

RC1: obtain with clicking and confirming the traffic events that reports

(2) after user clicks corresponding reporting events button in (1) and confirm to report, from locating module, mobile terminal device place longitude and latitude data are obtained.RC2, RC3 flow process in this step corresponding diagram.

(3) event data in (2) and position data are uploaded onto the server by client network interface.RC4 flow process in this step corresponding diagram.

Figure 12 is hotspot validates and administration module program running example that present system server runs, and wherein its function scheme is as follows:

UI_G_1: the pending traffic hot spot list that system is newly excavated;

UI_G_2: the traffic hot spot list of issuing;

UI_G_3: system manager is for the bookkeeping button of focus, can delete and think invalid or incorrect focus, auditing focus click " issue focus " button passed through is transferred in issue list, and issued, also can cancel the focus that issue, system can the focus of automatic Delete Expired;

UI_G_4: show its position by map space after choosing focus, helps keeper to judge focus validity;

UI_G_5: the details demonstrating this focus after choosing focus, helps keeper's examination and judges focus validity.

At Figure 13 mobile terminal traffic congestion of the present invention focus mark display example, wherein red buoy represents the more serious focus that blocks up, and orange buoy represents the serious focus that blocks up, and green buoy represents the focus slightly blocked up.Click the specifying information that buoy can check the focus that blocks up, comprise position place name, reason of blocking up, influence degree etc.

Can be contrasted by Figure 14 and Figure 15 and find out that have employed the intelligence of traffic congestion in the present invention evades the trip planning effect of algorithm again after path planning.Figure 14 is 3 trip route that main flow map software path query interface provides, and Figure 15 is that in the present invention, traffic congestion intelligence evades algorithm for same starting and terminal point, and what calculate when considering focus impact and path evades route.

The present invention, towards intelligent perception network, in conjunction with conventional traffic information source, carries out excavation based on data activating technology and prediction to urban transportation focus, and then provides traffic congestion focus to show to intelligent terminal user and evade prompting service.Present system is independent, and data from multi-source collective intelligence network, accuracy is good, and recall ratio is high, captures focus in real time and feeds back, highly effective.And present system design is good, stable, easy for installation, can become for the extensively practical wisdom transport information instrument of city dweller, for the smooth and easy trip of user provides effective information to point out.

Non-elaborated part of the present invention belongs to techniques well known.

The above; be only part embodiment of the present invention, but protection scope of the present invention is not limited thereto, any those skilled in the art are in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.

Claims

1. the traffic congestion based on collective intelligence network evades a prompt system, it is characterized in that: comprise server, wireless network and mobile terminal, adopts wireless network to connect between server and mobile terminal; Wherein network in charge excavates and prediction traffic congestion focus towards collective intelligence network multi-source traffic data, and provide traffic hot spot data-interface to following mobile terminal, comprise webpage traffic hot spot excavation module, microblogging traffic hot spot excavates module, road conditions law forecasting module, block up hotspot validates and administration module, user report event processing module and server wireless communication module; Mobile terminal, held by user, self-position is obtained by positioning function, traffic congestion focus and the road condition predicting information in city, place is obtained by request server interface, evade module by intelligent focus to calculate the focus that blocks up and evade route, mobile terminal comprises: wireless communication module, locating module, based on the traffic path planning module that focus is evaded, reporting of user road conditions event module and traffic hot spot and evade route display module;

Webpage traffic hot spot excavates module, realizes following functions: crawl the website relevant to traffic information and webpage by web crawlers; The way selection screened by artificial judgment is gone out source and has authority, accuracy, representational website and webpage, as the main source of Context resolution; By the web analytics program of autonomous Design, for web page contents tissue characteristic, in conjunction with Text Mining Technology, excavate and intend traffic congestion focus; Webpage traffic hot spot excavates module faces to net page data source, and its module operation result exports block up hotspot validates and administration module to;

Microblogging traffic hot spot excavates module, realizes following functions: by microblogging opening API access Sina of Sina microblogging, obtain the microblogging text set with geography information; By the text mining program for microblogging text feature, excavate plan traffic congestion focus implicit in micro-blog information; Can the feature of automatic learning microblogging text, improve constantly the discrimination of traffic congestion hot information; Microblogging traffic hot spot is excavated module faces and is opened data source to microblogging, and its module operation result exports block up hotspot validates and administration module to;

Road conditions law forecasting module, realizes following functions: by history and timely real-time road condition information, dopes the wagon flow section in rush hour in each section, is converted into traffic congestion focus; Based on city middle and primary schools geographic position and go to school, classes are over time, and the geographic position of main large-scale enterprises and institutions and peak traffic period on and off duty, dope the traffic congestion focus in corresponding place; Road conditions law forecasting module is based on the autonomous database comprising above-mentioned traffic data information collected and arrange, and its module operation result exports block up hotspot validates and administration module to;

Server user's reported event processing module, realizes following functions, unified information of collecting reporting of user, repeats through removing and after Accuracy Verification operation, is converted into traffic congestion focus; The reporting of user event data that reception server interface imports into, its module operation result outputs to block up hotspot validates and administration module;

Block up hotspot validates and administration module, realize following functions: immediately webpage traffic hot spot is excavated module, microblogging traffic hot spot is excavated the traffic congestion focus excavated in module, road conditions law forecasting module, reporting of user event processing module and integrated and be presented in focus administration interface, server software user can check each focus in map interface, judge its accuracy, and whether manual confirmation issues this focus; Each is sent to the focus of this module, can manually modifies and delete, automatically can also immediately remove expired focus and invalid focus simultaneously; Block up hotspot validates and administration module, its input data excavate module from webpage traffic hot spot, microblogging traffic hot spot excavates module, road conditions law forecasting module, the input of reporting of user event processing module and user and editing operation, its module operation result exports server interface to, issues to user;

Server wireless communication module, is responsible for the communication with mobile terminal; Be made up of hardware and network attachment procedure, be responsible for the request of data monitored and process client-side interface sends;

Mobile terminal wireless communication module, is responsible for the communication with server; Be made up of hardware and network attachment procedure, be responsible for sending request of data to server interface;

Locating module, is responsible for the GPS location of intelligent terminal; Automatic acquisition own location information after running of mobile terminal client software, its result can by traffic hot spot with evade route display module, road conditions reporting events module and calling based on the traffic path planning module that focus is evaded;

Traffic hot spot with evade route display module, can following functions be realized: in map interface, demonstrate the traffic hot spot obtained from described system server module, and show different color marks and coverage according to different types; Carry out alternately with user, what obtain that user selects goes out beginning-of-line, terminal and evasion mode, and in map interface, demonstrates focus evade the Intelligent travel path that computing module calculates; Traffic hot spot with evade the instant hot spot data that in route display module, traffic hot spot Presentation Function obtains data from client-side interface request, evade route Presentation Function data from the traffic path planning module evaded based on focus; Its module operation result is shown directly to user;

Based on the traffic path planning module that focus is evaded, the hot spot data provided based on city map data, described system server and calculate the travel route that an intelligence evades traffic congestion focus section from the weather data of Network Capture; The traffic path planning module Data Source evaded based on focus is the information of user interactions input, the instant traffic hot spot data that obtain from the weather information of Network Capture and asking from client-side interface; Its module operation result outputs to traffic hot spot and evades route display module;

Client road conditions reporting events module, can help user to pass through to click the mode of software push buttons easily by seen traffic event, together with self position, send to native system server; The direct user oriented of client road conditions reporting events module, and position data is obtained from locating module, module operation result exports client network interface to, is sent to native system server by network interface.

2. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: described webpage traffic hot spot is excavated module and is implemented as follows:

(1) web crawlers is passed through, search engine, the mode artificially collected, obtain the website relevant with traffic information and webpage collection, wherein obtain in the method for related web site and webpage collection by web crawlers and search engine, adopt the method for key word theme vector coupling, namely webpage text content is greater than 0 with the product of the theme vector be made up of field of traffic key word, then think that this webpage is related web page; The mode artificially collected is then the experience of life by collecting personnel, obtains the webpage that possibility can be systems with data;

(2) from the result of step (1), filter out information source authority by the mode of artificial judgment, accurately, there is the webpage of reference value, originate as web data;

(3) for the Content Organizing form of each webpage, be specially the organizational form of html source code, based on the routine package that html language is resolved, design the Java language program of the required content capturing this webpage;

(4) design carries out morphology, syntactic analysis to the content that step (3) captures out, and signature analysis and structured message extract, and are converted into the program of traffic hot spot formatted data; By participle, subordinate sentence program does base conditioning for the content of text obtained, and the content of its signature analysis comprises coverage analysis, order of severity semantic analysis; Structured message extraction step is to through participle, and the content of text after subordinate sentence carries out place name extraction, decimation in time, event extraction; Finally the structure of above-mentioned analysis is configured to structurized traffic hot spot data;

(5) by Multi Thread Java Programs, the process in asynchronous operation step (3), (4), constantly excavates traffic hot spot, and focus is outputted to traffic hot spot checking with administration module.

3. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: described microblogging traffic hot spot is excavated module and is implemented as follows:

(1) connect Sina's microblogging open platform, obtain content of microblog and obtain authorization message;

(2) based on the authorization message of (1), access Sina microblogging open platform, obtain public microblogging by its microblogging API, obtaining frequency is 1500 times/hour, each acquisition 200 public microbloggings;

(3) microblogging for (2) obtains result, filter out the microblogging with geography information, namely in its microblogging structure content, longitude attributes and longitude attribute data value are not the microblogging of-1, and geographic position is positioned at the microblogging within the scope of town;

(4) for the selection result of (3), then the microblogging that content of microblog mentions traffic relevant information is filtered out; Screening technique adopts key word theme vector coupling, and namely microblogging content of text is greater than 0 with the product of the theme vector be made up of field of traffic key word, then think that this microblogging is the theme relevant microblog;

(5) for the result that (4) draw, carry out lexical analysis, syntactic analysis and microblogging short text are analyzed, and the feature for microblogging short text carries out content characteristic identification and feature extraction, the content of signature analysis comprises coverage analysis, order of severity semantic analysis; Structured message extraction step is to through participle, and the content of text after subordinate sentence carries out place name extraction, decimation in time, event extraction; Finally the structure of above-mentioned analysis is configured to structurized traffic hot spot data, its information extraction method sets for the feature of microblogging text and its feature;

(6) by multithreading java program, program in asynchronous operation (2) (3) (4) (5), constantly excavate traffic hot spot, there is the adjacent and focus that content is similar in position, then merge these focuses and improve the confidence level of this focus, merge after repeating focus, focus is outputted to traffic hot spot checking with administration module.

4. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: described road conditions law forecasting module is implemented as follows:

(1) according to the urban history road condition data stored in database, the road conditions in conjunction with autonomous Design affect model, count the average rule of road conditions in each moment, and set threshold value and dope the section and time that may get congestion the same day;

(2) according to address location and the commuter time of the address location of the main middle and primary schools in the city stored in database and time of going to school that classes are over, large-scale enterprises and institutions, the section and time period that may get congestion is doped;

(3) result of (1) (2) is structured as traffic congestion hot spot data;

5. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: described server-side user reported event processing module is implemented as follows:

(1) uninterrupted reporting oracle listener from the customer incident of server interface obtains reporting of user event data;

(2) Effective judgement is carried out to the data of (1), and a degree of confidence is composed to data, wherein whether the defining method of degree of confidence for having the same content of multiple reporting of user, and analyze user position, occur report the possibility of traffic event;

6. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: described traffic hot spot checking is implemented as follows with administration module:

(1) uninterrupted acquisition excavates from webpage traffic hot spot the focus imported into module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module, the operation of removal repeating data is carried out to focus, and to be presented in interface in " pending focus " list;

(2) by user, the hot spot data in (1) is edited, checking and examination & verification, interface be responsible for user show focus attribute data and in map position;

(3) user is confirmed in step (2) to the traffic hot spot carrying out issuing, join in the traffic hot spot queue of issuing, the focus issued, with to client issue, is presented in " issuing focus " list by the traffic hot spot queuing data allowing service end network interface to obtain to issue simultaneously;

(4) for the focus audited in (2) (3) and issuing, whether it out-of-date in cycle criterion, the timeout threshold that wherein slight and moderate is congested is for exceeding time of origin more than 25 minutes, the timeout threshold of heavy congestion, for exceeding time of origin more than 40 minutes, is deleted for out-of-date focus.

7. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: described traffic hot spot and planning circuit display module are implemented as follows:

(1) load Map OCX, obtain from locating module and in map, show mobile terminal position;

(2) obtain from server network interface, ask the instant hot spot data that obtains, be presented in the Map OCX that (1) has loaded in the mode of buoy and coverture, and distinguished type and the influence degree of focus by color and color depth;

8. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: the described traffic path planning module evaded based on focus is implemented as follows:

(1) obtain the planning requirement of user for travel route with user interactions, concrete data comprise: departure place, destination, via point, whether avoid expressway, whether avoid charge station;

(2) load the instant hot spot data obtained from server end, obtain instant weather data, calculate influence degree and the coverage of each focus, calculate the rate Summing Factor range influence factor of each focus;

(3) according to the origin that user in (1) selects, obtain road net data, set up road net data structure, and according to the result of calculation in (2), compose weights to road network;

(4) based on the road network structure of (3), run the Extend short path algorithm of successive ignition, calculate and evade route result;

9. the traffic congestion based on collective intelligence network according to claim 1 evades prompt system, it is characterized in that: the reporting of user event module in described mobile terminal module is implemented as follows:

(1) predict 4 kinds of traffic events, be respectively " police's visiting ", " road construction ", " traffic hazard ", " traffic control ", correspond to the reporting events button used in interface, carry out alternately with user;

(2) after user clicks corresponding reporting events button in (1) and confirm to report, from locating module, mobile terminal device place longitude and latitude data are obtained;