CN103236163A - Traffic jam avoiding prompting system based on collective intelligence network - Google Patents

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 the gunz network is evaded prompt system

Technical field

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

Background technology

Along with the development of world economy and popularizing of automobile, traffic jam issue has become a Universal Problems of current social being, blocks up and makes troubles not only for 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.), intelligent terminal has generally carried video monitoring, audio frequency, awareness apparatus such as acceleration sensor.The video equipment that the high-end intelligent terminal of part can carry is the video monitoring equipment of overage low side.The a large amount of of intelligent terminal popularize, and make structure perception focusing on people and computational grid (being called for short " gunz perception calculating ") become possibility.

It is that a large amount of domestic consumers use mobile intelligent terminal as basic perception unit that the gunz perception is calculated, surrounding environment and things are carried out information perception and collection, and form dynamic information sensing network by internet or mobile communications network, realize the perception of large-scale information intersection and gather, be called the gunz network.

Current obtaining for the urban transportation real-time road, mainly be by the Floating Car technology, namely at the city taxi, the speed measuring device that floats is installed on the bus, each device is reported to data center with self position and speed data immediately, data center assesses real-time road by the average wagon flow speed of calculating on each bar road, and the issue real-time road condition information.In a plurality of main big cities of China, all disposed this technology at present.

But the Floating Car technology only can obtain instant average wagon flow speed, and it is limited to estimate accuracy for road conditions, can't reflect the influence that the traffic events of burst brings, and does not more possess the ability of prediction traffic congestion.Therefore, the real-time road data that only rely on the Floating Car technology to provide can not well instruct people to go on a journey.And remove the data of Floating Car technology, and traffic department is also by the webpage distributing traffic information, and the radio station broadcasting traffic information is set up mode such as transport information giant-screen to help the numerous common people and is understood the real-time traffic situation, enriched the means of traffic dispersion in main highway section.Simultaneously, along with the rise of social networks, vast microblogging user also can share the road conditions message in some highway sections, own place to the good friend of oneself in trip.Above-mentioned information source can both reflect the traffic information of part, but deficiency is separately also arranged.Webpage is reported, the effect that information such as radio station report are passed on is bad, and needs the user initiatively to obtain, and information screen can only provide partial information for the vehicle of local location, the information propagation distance of issuing in the microblogging is limited, can not be really helpful to the people of a large amount of trips.Bigger problem is, even the user has obtained above-mentioned relevant information, also can only lean on self experience to go to judge that these information are to the influence of oneself trip, and how to evade or tackle the traffic congestion situation of recognizing, and most of users also can't have clearly understanding to trip highway section and road network, therefore also just can't well make and evade judgement.

In addition, above-mentioned information all is separate, and going back the neither one system can integrate it, with these information unified management 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 the microblogging all is colloquial text, a kind of special text mining method of current shortage is translated into the data of format, also have only after the data layoutization, could better 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, provide a kind of traffic congestion based on the gunz network to evade prompt system, employing is towards the multi-source data activating technology of gunz network, the traffic congestion hot information of different information sources is excavated respectively and structuring, and the software that portable terminal is provided helps user's intelligence to evade traffic hot spot, the system information wide material sources, the result reliability height, real-time is good, has predictive ability, Consideration is comprehensive, and is practical, and ease for use is good.

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

The webpage traffic hot spot is excavated module, realizes following function: climb by web crawlers and get the website relevant with traffic information and webpage; Select the source by the mode of artificial judgment screening and have authority, accuracy, representational website and webpage are as the main source of Context resolution; By the web analytics program of autonomous Design, at web page contents tissue characteristic, in conjunction with the text mining technology, excavate and intend the traffic congestion focus; The webpage traffic hot spot is excavated module faces to net page data source, and its module operation result exports block up focus checking and administration module to.

The microblogging traffic hot spot is excavated module, realizes following function: insert Sina's microblogging by Sina's microblogging opening API, obtain the microblogging text set that has geography information; By the text mining program at microblogging text characteristics, excavate plan traffic congestion focus implicit in the microblogging information; Can cross the feature of constantly learning the microblogging text automatically, improve constantly the discrimination of traffic congestion hot information; The microblogging traffic hot spot is excavated module faces and is opened data source to microblogging, and its module operation result exports block up focus checking and administration module to.

Road conditions law forecasting module realizes following function: by historical and timely real-time road condition information, dope the wagon flow section in rush hour in each highway section, be converted into the 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 comprising of autonomous collection and arrangement of above-mentioned traffic data database of information, and its module operation result exports block up focus checking and administration module to.

Server user's reported event processing module realizes following function, and unified information of collecting reporting of user after removing repetition and accuracy verification operation, is converted into the traffic congestion focus.Server user's reported event processing module receives the reporting of user event data that has server interface to import into, and its module operation result outputs to block up focus checking and administration module.

The focus that blocks up checking and administration module, realize following function: immediately the webpage traffic hot spot is excavated the traffic congestion focus of excavating in module, microblogging traffic hot spot excavation module, road conditions law forecasting module, the reporting of user event processing module and integrated and be presented in the focus administration interface, the server software user can check each focus in map interface, judge its accuracy, and whether artificial affirmation issues this focus.Be sent to the focus of this module for each, can manually make amendment and delete, simultaneously, administration module can also automatically be removed expired focus and invalid focus immediately; The focus that blocks up checking and administration module, its input data are excavated module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module and user's input and editing operation from the webpage traffic hot spot, its module operation result exports server interface to, issues to the user.

The server wireless communication module is responsible for and communications of Mobile Terminals; Formed by hardware (network interface card) and network connection program, be responsible for to monitoring and handle the request of data that client-side interface sends.

The portable terminal wireless communication module is responsible for the communication with server; Formed by hardware (network interface card) and network connection program, be responsible for sending request of data to server interface.

Locating module, the GPS location of being responsible for intelligent terminal; Automatically obtain self positional information behind the running of mobile terminal client software, its result can by traffic hot spot with evade the route display module, road conditions reporting events module and call based on the trip route planning module that focus is evaded.

Traffic hot spot with evade the route display module, can realize following function: in map interface, demonstrate the traffic hot spot of obtaining from described system server module, and show different color mark and coverage according to different type; Carry out alternately with the user, obtain the user selects go out beginning-of-line, terminal point and evade mode, and demonstrate focus in the map interface and evade the intelligence trip path that computing module calculates; Traffic hot spot with evade in the route display module traffic hot spot Presentation Function and evade the route Presentation Function data from the trip route planning module of evading based on focus data from the instant hot spot data that the client-side interface request obtains; Its module operation result is directly showed to the user.

The trip route planning module of evading based on focus, the hot spot data that provides based on city map data, described system server and calculate the trip circuit that an intelligence is evaded traffic congestion focus highway section from the weather data that network obtains.The instant traffic hot spot data that the weather information that the trip route planning module data source of evading based on focus obtains for the information of user interactions input, from network and asking from client-side interface obtains.Its module operation result outputs to traffic hot spot and evades the route display module.

Client road conditions reporting events module, can help the mode of user by clicking software push buttons easily with the traffic event seen, together with self position, send to the native system server.The direct user oriented of client road conditions reporting events module, and from locating module, obtain position data, the module operation result exports the client network interface to, is sent to the 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 that artificially collects is obtained 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, be webpage text content with the product of the theme vector of being formed by the field of traffic key word greater than 0, think that then this webpage is related web page.The mode that artificially collects then is by collecting personnel's the experience of life, obtaining the webpage that data may be able to be provided for system.

(2) mode by artificial judgment filters out information source authority from the result of (1), and accurately, the webpage with reference value is originated as web data.

(3) at the content organizational 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 that grasps this webpage.

(4) design the content that (3) are grasped out and carry out morphology, syntactic analysis, signature analysis and structured message extract, and are converted into the program of traffic hot spot formatted data.By participle, the subordinate sentence program is done base conditioning for the content of text that obtains, and the content of its signature analysis comprises the coverage analysis, order of severity semantic analysis.The structured message extraction step is to the process participle, and the content of text behind the subordinate sentence carries out place name and extracts, decimation in time, and event extracts.Structure with above-mentioned analysis is configured to structurized traffic hot spot data at last.

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

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

(1) connects Sina's microblogging open platform, obtain the microblogging content and obtain authorization message.

(2) based on the authorization message of (1), insert Sina's microblogging open platform, API obtains public microblogging by its microblogging, and obtaining frequency is 1500 times/hour, obtains 200 public microbloggings at every turn.

(3) microblogging for (2) obtains the result, filters out the microblogging that has geography information, and namely longitude attribute and latitude attribute data are not-1 microblogging in its microblogging structure content, and the geographic position be positioned at the town scope with microblogging.

(4) for the The selection result of (3), rescreen and select the microblogging that the microblogging content is mentioned the traffic relevant information.Screening technique adopts key word theme vector coupling, and namely microblogging content of text and the product of the theme vector of being made up of the field of traffic key word be greater than 0, then thinks this microblogging relevant microblogging that is the theme.

(5) result who draws for (4), conscientious lexical analysis, syntactic analysis and microblogging short text are analyzed, and carry out content characteristic identification and feature extraction at the characteristics of microblogging short text.The content of signature analysis comprises the coverage analysis, order of severity semantic analysis.The structured message extraction step is to the process participle, and the content of text behind the subordinate sentence carries out place name and extracts, decimation in time, and event extracts.Structure with above-mentioned analysis is configured to structurized traffic hot spot data at last, and its information extraction method is set at the characteristics of microblogging text and its feature.

(6) by multithreading java program, the program in the asynchronous operation (2) (3) (4) (5) is constantly excavated traffic hot spot, the focus that the position is adjacent and content is similar occurs, then merges these focuses and improves the confidence level of this focus.After merging the repetition focus, focus is outputed in traffic hot spot checking and the administration module.

Described road conditions law forecasting module is implemented as follows:

(1) according to the urban history road condition data of storing in the database, influence model in conjunction with the road conditions of autonomous Design, count each average rule of road conditions constantly, and setting threshold dopes highway section and the time that may get congestion the same day.

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

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

(4) move once the program in (1) (2) (3) every day, draw contingent traffic hot spot on the same day, and focus is outputed in traffic hot spot checking and the administration module.

Described server end reporting of user event processing module is implemented as follows:

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

(2) data of (1) are carried out validity and judge, and data are composed a degree of confidence, wherein whether definite method of degree of confidence for having the same content of a plurality of reporting of user, and the analysis user position, the possibility of the generation traffic event that reports.

(3) be configured to the traffic hot spot data with being judged as effective reported event in (2), data are outputed to traffic hot spot checking and administration module.

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

(1) uninterruptedly obtains the focus that from webpage traffic hot spot excavation module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module, imports into, focus is removed repeating data operation, and be presented in the interface in " pending focus " tabulation.

(2) by the software user hot spot data in (1) is edited, checking and audit, the interface is responsible for showing the attribute data of focus and position in map to the user.

(3) in step (2), confirm the traffic hot spot issued for the user, join in the traffic hot spot formation of issuing, the traffic hot spot queuing data that allows the service end network interface to obtain to issue is with to the client issue, and the focus that will issue is presented in " issuing focus " tabulation simultaneously.

(4) for the focus of examining in (2) (3) He issuing, whether it out-of-date in cycle criterion, wherein the congested timeout threshold of slight and moderate is to surpass time of origin more than 25 minutes, and the timeout threshold of heavy congestion is for surpassing time of origin more than 40 minutes.Delete for out-of-date focus.

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

(1) loads the map control, from locating module, obtain and demonstration portable terminal position in map.

(2) obtain the instant hot spot data that request obtains from the server network interface, be presented at (1) with buoy and obducent mode and load in the good map control, and distinguish type and the influence degree of focus by color and color depth.

(3) need show when evading route as the user, after namely evading route planning algorithm operation and finishing, from the trip route planning module of evading based on focus, obtain result of calculation, will evade route and be presented in the map control that has shown mobile terminal locations and traffic hot spot information in (2) in the obducent mode of broken line.

Described trip route planning module of evading based on focus is implemented as follows:

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

(2) load the instant hot spot data that obtains from server end, obtain instant weather data, calculate influence degree and the coverage of each focus, calculate speed factor of influence and the scope factor of influence of each focus.

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

(4) based on the road network structure of (3), move repeatedly the expansion shortest path first of iteration, calculate and evade the route result.

(5) result with (4) outputs to traffic hot spot and evades the route display module, shows to the user.

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

(1) 4 kinds of traffic events of prediction are respectively " police's visiting ", and " road construction ", " traffic hazard ", " traffic control " corresponds to the reporting events button in the software interface, carries out alternately with the user.

(2) after corresponding reporting events button and affirmation report in user's click (1), from locating module, obtain mobile terminal device place longitude and latitude data.

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

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

(1) the current real-time road condition information that obtains in the individual mobile terminal that only depends on is planned the walking along the street line in the prior art, accuracy is not high, practicality is not strong, the traffic information route of transmission of multi-source is different, be difficult for obtaining, rely on the understanding of shortcoming user oneself judges to(for) the traffic information, the present invention adopts the multi-source data activating technology towards the gunz network, the mode on line road will be made according to real-time road in the past, change the integrated traffic congestion focus that obtains that excavated by gunz network multi-source traffic data into, influence time and scope COMPREHENSIVE CALCULATING by focus go out rational trip route, have realized the go on a journey more intelligent decision-making of route selection with the user that takes full advantage of of the gunz network information; And the traffic congestion hot information of different information sources excavated respectively and structuring, and the software that portable terminal is provided helps user's intelligence to evade traffic hot spot, the system information wide material sources, the result reliability height, 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 is excavated module, can handle the different pieces of information source of containing traffic information in the gunz network, it is excavated from different forms, uniform format be configured to self-defining structurized traffic congestion hot spot data, be convenient to the information transmission and accurately understood.

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

(4) road conditions law forecasting module of the present invention, can be 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 are made the integrated forecasting of traffic congestion focus.

(5) the present invention adopts the method that inserts the microblogging open interface, obtain the regional microblogging text that has geography information, and adopt the technology of text mining and signature analysis at the text characteristics of microblogging, from microblogging, find the traffic congestion hot information, and by region adjacent microblogging Information Authentication and increase focus confidence level.

(6) the reporting of user Event Function that arranges among the present invention, can collect the reporting of user event, find more traffic hot spot information by group wisdom, but can too not rely on the data of reporting of user, guarantee that when changing appears in the online user number amount traffic congestion hot spot data that system provides is still reliable and abundant.

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

(8) the wireless network connected mode that adopts of the present invention, all kinds of portable terminals that make it possible to connect the Internet can be evaded the prompting service by the indiscriminate use of different data connecting methods focus of the present invention.

(9) portable 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 focuses and represent the coverage of focus by area size by color distinction, distinguish original minimal path and intelligence by the path color equally and evade and calculate the route of evading that the back recommends.

(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, the efficient height, the result is reasonable, has taken all factors into consideration the influence of various factors, can effectively help the user to evade traffic hot spot through actual verification.

(11) the present invention adopts the method that web page contents is resolved, different mechanisms is distributed on online can judges and the information of basis for forecasting as the traffic congestion situation, constantly grasp by program, and be converted into structurized traffic congestion hot spot data with the text mining technology.

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

(13) built-in road net data according to the map in the portable terminal of the present invention, and the traffic congestion focus of current issue, the comprehensive measurement travel time, the path planning algorithm of route is evaded in selection, comprehensively the traffic data of all kinds of instant acquisitions calculates, and the efficiency of algorithm height can be evaded recommendation for the user provides immediately, the result is rationally effective, and is reliable and stable.

(14) system user among the present invention, can report the road conditions event in highway section, own place by portable terminal immediately, server can be collected the event of reporting of user, and in time is converted into the traffic hot spot data in checking behind its information accuracy and feeds back to all users.

Description of drawings

Fig. 1 is entire system operating structure synoptic diagram of the present invention;

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

Fig. 3 is workflow diagram of the present invention;

Fig. 4 excavates module realization flow figure for webpage traffic hot spot among the present invention;

Fig. 5 excavates module realization flow figure for the microblogging traffic hot spot among the present invention;

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

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

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

Fig. 9 evades computing module realization flow figure for focus among the present invention;

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

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

Figure 12 is the focus management function graphical interfaces running software example of the focus administration module that blocks up that moves in the server of the present invention;

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

Figure 14 is traditional map software path planning example;

Figure 15 evades the route example for what focus of the present invention evaded that computing module calculates.

Embodiment

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

At first describe the annexation of integral module hierarchical structure of the present invention and intermodule in detail in conjunction with figure one.

Shown in Figure 1, in the one-piece construction synoptic diagram of the present invention, the connectivity scenario between the modular structure of entire system and its module is as follows:

The data source layer:

M1: data source is selected and link block, for operating in the java program of server end; The M1 module loading data of separate sources, work operation and driving data storehouse, the connection network arranges network legal power.

Server layer:

M2: server user's reported event processing module, realize following function, from the unified information of collecting reporting of user of M7, after removing repetition and accuracy verification operation, be converted into the traffic congestion focus.Server reported event processing module receives the reporting of user event data that has server interface to import into, and its module operation result outputs to block up focus checking and administration module M6.

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

M3: road conditions law forecasting module, realize following function: by the history in the M1 database and timely real-time road condition information, dope the wagon flow section in rush hour in each highway section, be converted into the 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 comprising of autonomous collection and arrangement of above-mentioned traffic data database of information, and its module operation result exports block up focus checking and administration module M6 to.

M4: the webpage traffic hot spot is excavated module, realizes following function: climb by web crawlers get, the search engine search collects the website relevant with traffic information and webpage with the mode that artificially collects; Select the source by the mode of artificial judgment screening and have authority, accuracy, representational website and webpage are as the main source of Context resolution; By the web analytics program of autonomous Design, at web page contents tissue characteristic, in conjunction with the text mining technology, excavate and intend the traffic congestion focus; The webpage traffic hot spot is excavated module faces to net page data source, and its module operation result exports block up focus checking and administration module M6 to.

M5: the microblogging traffic hot spot is excavated module, realizes following function: insert Sina's microblogging by Sina's microblogging opening API, obtain the microblogging text set that has geography information; By the text mining program at microblogging text characteristics, excavate plan traffic congestion focus implicit in the microblogging information; Can cross the feature of constantly learning the microblogging text automatically, improve constantly the discrimination of traffic congestion hot information; The microblogging traffic hot spot is excavated module faces and is opened data source to microblogging, and its module operation result exports block up focus checking and administration module M6 to.

M6: the focus that blocks up checking and administration module, realize following function: immediately the webpage traffic hot spot is excavated the traffic congestion focus of excavating among module M4, microblogging traffic hot spot excavation module M5, road conditions law forecasting module M3, the reporting of user event processing module M2 and integrated and be presented in the focus administration interface, the server software user can check each focus in map interface, judge its accuracy, and whether artificial affirmation issues this focus.Be sent to the focus of this module for each, can manually make amendment and delete, simultaneously, administration module can also automatically be removed expired focus and invalid focus immediately; The focus that blocks up checking and administration module, its input data are excavated module M4, microblogging traffic hot spot excavation module M5, road conditions law forecasting module M3, reporting of user event processing module M2 and user's input and editing operation from the webpage traffic hot spot, its module operation result exports server interface M7 to, issues to the user.

M7: be server interface, be responsible for monitoring and handling the request of client, issue the traffic hot spot information of safeguarding among the M6 to the customer side.

Client:

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

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

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

M10: traffic hot spot with evade the route display module, can realize following function: in map interface, demonstrate the traffic hot spot of obtaining from described system server module, and show different color mark and coverage according to different type; Carry out alternately with the user, obtain the user selects go out beginning-of-line, terminal point and evade mode, and demonstrate focus in the map interface and evade the intelligence trip path that computing module calculates; Traffic hot spot with evade traffic hot spot Presentation Function in the route display module data from the instant hot spot data that client-side interface M8 request obtains, evade the route Presentation Function data from the trip route planning module M11 that evades based on focus; Its module operation result is directly showed to the user.

M11: the trip route planning module of evading based on focus, the hot spot data that provides based on city map data, described system server and calculate the trip circuit that an intelligence is evaded traffic congestion focus highway section from the weather data that network obtains.The instant traffic hot spot data that the weather information that the trip route planning module data source of evading based on focus obtains for the information of user interactions input, from network and asking from client-side interface obtains.Its module operation result outputs to traffic hot spot and evades route display module M10.

M12: locating module, the GPS location of being responsible for intelligent terminal; Automatically obtain self positional information behind the 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 call based on the trip route planning module M11 that focus is evaded.

M13: the mobile terminal user that the present invention obeys the family end has been installed for holding.

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

DP1: the system manager, be responsible for safeguarding at the server end charge server that operation focus supervisory routine is confirmed the focus issue;

DP2: the server apparatus of system, server apparatus are desktop computer, and operation excavation program and traffic hot spot supervisory routine are connected with the Internet in its desktop operating system.

DP3: the isomery internet, comprise wireless network and cable network, DP2 and DP4 all insert DP3, communicate by letter by DP3;

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

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

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

Server end:

Server end is in the state of eternal operation, from gunz network data source, obtain data message by certain cycle, this flow process is S1, after finishing, the S1 flow process carries out flow process S2, S2 is that focus excavates and the prediction flow process, and process flow operation comprises the processing procedure of webpage traffic hot spot excavation module, microblogging traffic hot spot excavation module, road condition predicting module, in S2, the three is executed in parallel, between do not have the conflict of data or resource.

S4: the reporting of user event processing module, monitoring always and collecting the reporting of user event data that receives in the service end interface, be sent to S3 after analyzing traffic hot spot, the operation of S4 and (S1, S2) parallel, S4 is with (S1, S2) unification as a result of flow process outputs among the S3.

S3: traffic hot spot management, checking and issue flow process, the independent loops operation receives S2, the result of S4 flow process output, and the result preserved by database service S5, in the S3 flow process, the user can edit focus simultaneously, management and issuing.

Client:

Client operates on the mobile terminal device, just starts the beginning flow process when needing the user initiatively to move this software.

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

C2: obtain map road network relevant information, the C2 requirements of process connects network and obtains the web service result, and this flow process refreshes execution once at every turn when developing the map control, when running client software, give tacit consent to the interface of spreading out the map automatically, the C2 process flow operation is based on the operation result of C1.

C3: can move C3 after the C2 process flow operation finishes, C3 obtained once up-to-date focus from server circularly every 90 seconds, and was presented in the map control.

C4: the route planning and the flow for displaying C4 that evade based on focus are triggered by the user, because C1, C2, C3 all finishes once after application initialization at least, C4 is bound to move once the back operation at least at C3, and carries out calculating and the demonstration of route planning based on the parameter of the result of C3 and user's input.

C5: reporting of user event flow process, set out by the user, because C1, C2, C3 all finish once after application initialization at least, C5 is bound to move once back operation at least at C1, and obtains the operation result of C1, uses the transmission of reported event.C5 sends to server by network interface with the road conditions event, can trigger the processing of S4 flow process.

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

(1) by web crawlers, search engine, the mode that artificially collects is obtained 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, be webpage text content with the product of the theme vector of being formed by the field of traffic key word greater than 0, think that then this webpage is related web page.The mode that artificially collects then is by collecting personnel's the experience of life, obtaining the webpage that data may be able to be provided for system.This part is operated in the system development stage and finishes, and does not belong to the day-to-day operation flow process of whole module.

(2) mode by artificial judgment filters out information source authority from the result of (1), and accurately, the webpage with reference value is originated as web data.This part is operated in the system development stage and finishes, and does not belong to the day-to-day operation flow process of whole module.

X1: this flow process is obtained the particular the Internet content information of setting in (1) (2), according to web page contents new feature more, is set at per 10 minutes and obtains once.

(3) at the content organizational 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 that grasps this webpage.

X2: operation (3) described capture program, parse the Web page text content, the result outputs to X3 after finishing, and triggers the X3 flow process.

(4) design the content that (3) are grasped out and carry out morphology X3, syntactic analysis X4, signature analysis and structured message extract X5, and are converted into the program of traffic hot spot formatted data X7.By participle, the subordinate sentence program is done base conditioning for the content of text that obtains, and the content of its signature analysis comprises the coverage analysis, order of severity semantic analysis.The structured message extraction step is to the process participle, and the content of text behind the subordinate sentence carries out place name and extracts, decimation in time, and event extracts.Structure with above-mentioned analysis is configured to structurized traffic hot spot data at last.

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

X4: the word segmentation result that X3 finishes dealing with is done syntactic analysis, adopt the parser of independent development to carry out the syntactic analysis processing, its result outputs to X5, and triggers the X5 flow process.

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

X6: effectiveness of information and completeness inspection, integrality as a result and the validity of X5 are done inspection, if be judged to be invalid data then data are abandoned, otherwise data are outputed to flow process X7, and trigger X7.

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

X7: effective information is saved as the traffic hot spot data, and output to focus checking and administration module.

X8: be 10 minutes refresh cycle, reach the back redirect cycle length and get back to the X1 flow process.

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

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

(2) based on the authorization message of (1), insert Sina's microblogging open platform, API obtains public microblogging by its microblogging, and obtaining frequency is 1500 times/hour, obtains 200 public microbloggings at every turn.Flow process Y2 in this step corresponding diagram.

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

(4) for the The selection result of (3), rescreen and select the microblogging that the microblogging content is mentioned the traffic relevant information.Screening technique adopts key word theme vector coupling, and namely microblogging content of text and the product of the theme vector of being made up of the field of traffic key word be greater than 0, then thinks this microblogging relevant microblogging that is the theme.Flow process Y5 in this step corresponding diagram.

(5) result who draws for (4), conscientious lexical analysis, syntactic analysis and microblogging short text are analyzed, and carry out content characteristic identification and feature extraction at the characteristics of microblogging short text.The content of signature analysis comprises the coverage analysis, order of severity semantic analysis.The structured message extraction step is to the process participle, and the content of text behind the subordinate sentence carries out place name and extracts, decimation in time, and event extracts.Structure with above-mentioned analysis is configured to structurized traffic hot spot data at last, and its information extraction method is set at the characteristics of microblogging text and its feature.Y5 in this step corresponding diagram, Y6, Y7, Y8 is the main flow process that microblogging excavates module.

(6) by multithreading java program, the program in the asynchronous operation (2) (3) (4) (5) is constantly excavated traffic hot spot, the focus that the position is adjacent and content is similar occurs, then merges these focuses and improves the confidence level of this focus.After merging the repetition focus, focus is outputed in traffic hot spot checking and the administration module.Y9 is the inspection of hot information completeness among the figure, if by the Y9 flow process, then data enter among the Y10, save as traffic hot spot.

Y11: be 30 seconds refresh cycle, reach the back redirect cycle length and get back to the Y2 flow process that it is to move once at each startup of server only that the mandate of Y1 is obtained.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 Service device data flow, when the server software initialization moves, finish this flow process.

(1) according to the urban history road condition data of storing in the database, influence model in conjunction with the road conditions of autonomous Design, count each average rule of road conditions constantly, and setting threshold dopes highway section and the time that may get congestion the same day.

Statistics in the step (1) is calculated when the initialization server database and is finished, only call this partial data during the server operation, load flow process Z2 in the historical road conditions statistics corresponding diagram, analyze one hour with the corresponding Z4 of interior contingent traffic hot spot according to statistics, wherein predict the forecast model according to autonomous Design, judge those highway sections situation that may get congestion by pre-set threshold.

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

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

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

(3) result with (1) (2) is structured as the traffic congestion hot spot data, the corresponding flow process Z6 of this step, and Z7 merges processing with repeating data among the Z6.

(4) move once the program in (1) (2) (3) every day, draw contingent traffic hot spot on the same day, and focus is outputed in traffic hot spot checking and the administration module.

Z8: be 5 minutes operation refresh cycle, reach the back redirect cycle length and return Z3 and Z3 continues to refresh.

Fig. 7 is traffic hot spot checking of the present invention 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) uninterruptedly obtains the focus that from webpage traffic hot spot excavation module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module, imports into, focus is removed repeating data operation, and be presented in the interface in " pending focus " tabulation.G1 and G2 in this step corresponding diagram.

(2) by the software user hot spot data in (1) is edited, checking and audit, the interface is responsible for showing the attribute data of focus and position in map to the user.The corresponding G3 of this step offers user's graphical interfaces (the graphical interfaces pattern is seen clothes Figure 12) easily, and the user finishes the audit to the focus of new excavation in graphical interfaces, editor, issue operation.

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

(3) in step (2), confirm the traffic hot spot issued for the user, join in the traffic hot spot formation of issuing, the traffic hot spot queuing data that allows the service end network interface to obtain to issue is with to the client issue, and the focus that will issue is presented in " issuing focus " tabulation simultaneously

(4) for the focus of examining in (2) (3) He issuing, whether it out-of-date in cycle criterion, wherein the congested timeout threshold of slight and moderate is to surpass time of origin more than 25 minutes, and the timeout threshold of heavy congestion is for surpassing time of origin more than 40 minutes.Delete for out-of-date focus.G6 in this step corresponding diagram.

G7: be 30 seconds operation refresh cycle, reach the back redirect cycle length and return G1 and continue to obtain the up-to-date focus of excavating.

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) loads the map control, from locating module, obtain and demonstration portable terminal position in map.D1 in the corresponding way of this step, the D2 flow process, D1 only carries out once when the initialization interface, and D2 can carry out repeatedly according to the information refresh cycle.

(2) obtain the instant hot spot data that request obtains from the server network interface, be presented at (1) with buoy and obducent mode and load in the good map control, and distinguish type and the influence degree of focus by color and color depth.The corresponding D3 of this step, the D4 flow process, wherein with the orange-yellow traffic jam focus of representing, red expression traffic hazard focus, blue expression large-scale activity focus, purple is represented the focus that cause on school or the large-scale stream of people of enterprises and institutions wagon flow peak.Be that the transparent circular coverture in the center of circle is represented the focus coverage through calculating with the focus, transparency is represented the influence degree at this place.

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

(3) need show when evading route as the user, after namely evading route planning algorithm operation and finishing, from the trip route planning module of evading based on focus, obtain result of calculation, will evade route and be presented in the map control that has shown mobile terminal locations and traffic hot spot information in (2) in the obducent mode of broken line.D6 in this step corresponding diagram, D7, wherein D6 is triggered by D5, and D6 obtains is output result in the route planning module flow process of evading based on focus.

D8: be 60 seconds operation refresh cycle, reach the back redirect cycle length and return D2 and reorientate and refresh hot information.

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

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

(2) load the instant hot spot data that obtains from server end, obtain instant weather data, calculate influence degree and the coverage of each focus, calculate speed factor of influence and the scope factor of influence of each focus.A2 flow process in this step corresponding diagram.

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

(4) based on the road network structure of (3), move repeatedly the expansion shortest path first of iteration, calculate and evade the route result.

A4: the path planning algorithm core process of evading based on focus.This algorithm adopts repeatedly the method for iteration, and the situation that occurs running into focus in the minimal path of former road network is, then adopts the mode that refreshes the road network weights, carries out the shortest path priority algorithm again, finally obtains the route of evading of origin-to-destination.

(5) result with (4) outputs to traffic hot spot and evades the route display module, shows to the user.A5 flow process in this step corresponding diagram.

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

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

(2) data of (1) are carried out validity and judge, and data are composed a degree of confidence, wherein whether definite method of degree of confidence for having the same content of a plurality of reporting of user, and the analysis user position, the possibility of the generation traffic event that reports.RS2 in this step corresponding diagram, the RS3 flow process.

(3) be configured to the traffic hot spot data with being judged as effective reported event in (2), data are outputed 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 the mobile terminal module of the present invention, and the specific implementation of the reporting of user event module in the mobile terminal module is described below in conjunction with Figure 11:

(1) 4 kinds of traffic events of prediction are respectively " police's visiting ", and " road construction ", " traffic hazard ", " traffic control " corresponds to the reporting events button in the software interface, carries out alternately with the user.

RC1: obtain the traffic events that reports with click and affirmation

(2) after corresponding reporting events button and affirmation report in user's click (1), from locating module, obtain mobile terminal device place longitude and latitude data.RC2 in this step corresponding diagram, the RC3 flow process.

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

The focus checking and administration module program running example of Figure 12 for moving on the system server of the present invention, wherein its function scheme is as follows:

UI_G_1: the new pending traffic hot spot tabulation of excavating of system;

UI_G_2: the traffic hot spot tabulation of issuing;

UI_G_3: the system manager is for the bookkeeping button of focus, can delete and think invalid or incorrect focus, the focus that audit is passed through is clicked " issue focus " button it is transferred in the issue tabulation, and with its issue, also can be with the focus cancellation of having issued, system is the expired focus of deletion automatically;

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

UI_G_5: choose the details that demonstrate this focus behind the focus, help keeper's examination and judge focus validity.

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

Can contrast by Figure 14 and Figure 15 and to find out and adopted traffic congestion intelligence among the present invention to evade the algorithm trip planning effect after the path planning again.Provide for main flow map software path query interface 3 trips of Figure 14 paths, Figure 15 evades algorithm for same starting and terminal point for traffic congestion intelligence among the present invention, and what calculate under the situation of taking all factors into consideration focus influence and path evades route.

The present invention is towards the gunz sensing network, in conjunction with the conventional traffic information source, the urban transportation focus carried out excavation and prediction based on the data activating technology, and then the intelligent terminal user is provided the traffic congestion focus to show and evades the prompting service.System of the present invention is independent, and data from multi-source gunz network, accuracy is good, and the recall ratio height grasps focus and feedback, highly effective in real time.And system of the present invention design is good, stable, easy for installation, can become the extensive practical wisdom transport information instrument for the city dweller, for the smooth and easy trip of user provides effective information indicating.

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

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

Claims (9)

1. the traffic congestion based on the gunz network is evaded prompt system, it is characterized in that: comprise server, wireless network and portable terminal, adopt wireless network to connect between server and the portable terminal; Wherein server is responsible for excavating and prediction traffic congestion focus towards gunz network multi-source traffic data, and provide the traffic hot spot data-interface to following portable terminal, comprise that the webpage traffic hot spot excavates that module, microblogging traffic hot spot are excavated module, road conditions law forecasting module, focus checking and administration module, user report event processing module and server wireless communication module block up; Portable terminal, held by the user, obtain self-position by positioning function, obtain traffic congestion focus and the road condition predicting information in city, place by the request server interface, evade module by intelligent focus and calculate the focus that blocks up and evade route, portable terminal comprises: wireless communication module, locating module, based on the trip route planning module that focus is evaded, reporting of user road conditions event module and traffic hot spot and evade the route display module;

The webpage traffic hot spot is excavated module, realizes following function: climb by web crawlers and get the website relevant with traffic information and webpage; Select the source by the mode of artificial judgment screening and have authority, accuracy, representational website and webpage are as the main source of Context resolution; By the web analytics program of autonomous Design, at web page contents tissue characteristic, in conjunction with the text mining technology, excavate and intend the traffic congestion focus; The webpage traffic hot spot is excavated module faces to net page data source, and its module operation result exports block up focus checking and administration module to;

The microblogging traffic hot spot is excavated module, realizes following function: insert Sina's microblogging by Sina's microblogging opening API, obtain the microblogging text set that has geography information; By the text mining program at microblogging text characteristics, excavate plan traffic congestion focus implicit in the microblogging information; Can cross the feature of automatic study microblogging text, improve constantly the discrimination of traffic congestion hot information; The microblogging traffic hot spot is excavated module faces and is opened data source to microblogging, and its module operation result exports block up focus checking and administration module to;

Road conditions law forecasting module realizes following function: by historical and timely real-time road condition information, dope the wagon flow section in rush hour in each highway section, be converted into the 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 comprising of autonomous collection and arrangement of above-mentioned traffic data database of information, and its module operation result exports block up focus checking and administration module to;

Server user's reported event processing module realizes following function, and unified information of collecting reporting of user after removing repetition and accuracy verification operation, is converted into the traffic congestion focus; The reporting of user event data that the reception server interface imports into, its module operation result output to block up focus checking and administration module;

The focus that blocks up checking and administration module, realize following function: immediately the webpage traffic hot spot is excavated the traffic congestion focus of excavating in module, microblogging traffic hot spot excavation module, road conditions law forecasting module, the reporting of user event processing module and integrated and be presented in the focus administration interface, the server software user can check each focus in map interface, judge its accuracy, and whether artificial affirmation issues this focus; Be sent to the focus of this module for each, can manually make amendment and delete, can also automatically remove expired focus and invalid focus immediately simultaneously; The focus that blocks up checking and administration module, its input data are excavated module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module and user's input and editing operation from the webpage traffic hot spot, its module operation result exports server interface to, issues to the user;

The server wireless communication module is responsible for and communications of Mobile Terminals; Formed by hardware and network connection program, be responsible for to monitoring and handle the request of data that client-side interface sends;

The portable terminal wireless communication module is responsible for the communication with server; Formed by hardware and network connection program, be responsible for sending request of data to server interface;

Locating module, the GPS location of being responsible for intelligent terminal; Automatically obtain self positional information behind the running of mobile terminal client software, its result can by traffic hot spot with evade the route display module, road conditions reporting events module and call based on the trip route planning module that focus is evaded;

Traffic hot spot with evade the route display module, can realize following function: in map interface, demonstrate the traffic hot spot of obtaining from described system server module, and show different color mark and coverage according to different type; Carry out alternately with the user, obtain the user selects go out beginning-of-line, terminal point and evade mode, and demonstrate focus in the map interface and evade the intelligence trip path that computing module calculates; Traffic hot spot with evade in the route display module traffic hot spot Presentation Function and evade the route Presentation Function data from the trip route planning module of evading based on focus data from the instant hot spot data that the client-side interface request obtains; Its module operation result is directly showed to the user;

The trip route planning module of evading based on focus, the hot spot data that provides based on city map data, described system server and calculate the trip circuit that an intelligence is evaded traffic congestion focus highway section from the weather data that network obtains; The instant traffic hot spot data that the weather information that the trip route planning module data source of evading based on focus obtains for the information of user interactions input, from network and asking from client-side interface obtains; Its module operation result outputs to traffic hot spot and evades the route display module;

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

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

(1) passes through web crawlers, search engine, the mode that artificially collects, 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 and the product of the theme vector of being made up of the field of traffic key word think then that greater than 0 this webpage is related web page; The mode that artificially collects then is by collecting personnel's the experience of life, obtaining the webpage that data may be able to be provided for system;

(2) mode by artificial judgment filters out information source authority from the result of step (1), and accurately, the webpage with reference value is originated as web data;

(3) at the content organizational 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 that grasps this webpage;

(4) design is carried out morphology, syntactic analysis to the content that step (3) grasps out, and signature analysis and structured message extract, and is converted into the program of traffic hot spot formatted data; By participle, the subordinate sentence program is done base conditioning for the content of text that obtains, and the content of its signature analysis comprises the coverage analysis, order of severity semantic analysis; The structured message extraction step is to the process participle, and the content of text behind the subordinate sentence carries out place name and extracts, decimation in time, and event extracts; Structure with above-mentioned analysis is configured to structurized traffic hot spot data at last;

(5) by the multithreading java applet, the process in asynchronous operation step (3), (4) is constantly excavated traffic hot spot, and focus is outputed in traffic hot spot checking and the administration module.

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

(1) connects Sina's microblogging open platform, obtain the microblogging content and obtain authorization message;

(2) based on the authorization message of (1), insert Sina's microblogging open platform, API obtains public microblogging by its microblogging, and obtaining frequency is 1500 times/hour, obtains 200 public microbloggings at every turn;

(3) microblogging for (2) obtains the result, filters out the microblogging that has geography information, and namely longitude attribute and latitude attribute data value are not-1 microblogging in its microblogging structure content, and the geographic position be positioned at the town scope with microblogging;

(4) for the The selection result of (3), rescreen and select the microblogging that the microblogging content is mentioned the traffic relevant information; Screening technique adopts key word theme vector coupling, and namely microblogging content of text and the product of the theme vector of being made up of the field of traffic key word be greater than 0, then thinks this microblogging relevant microblogging that is the theme;

(5) result who draws for (4), conscientious lexical analysis, syntactic analysis and microblogging short text are analyzed, and carry out content characteristic identification and feature extraction at the characteristics of microblogging short text.The content of signature analysis comprises the coverage analysis, order of severity semantic analysis; The structured message extraction step is to the process participle, and the content of text behind the subordinate sentence carries out place name and extracts, decimation in time, and event extracts; Structure with above-mentioned analysis is configured to structurized traffic hot spot data at last, and its information extraction method is set at the characteristics of microblogging text and its feature;

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

4. the traffic congestion based on the gunz network according to claim 1 is evaded 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 of storing in the database, influence model in conjunction with the road conditions of autonomous Design, count each average rule of road conditions constantly, and setting threshold dopes highway section and the time that may get congestion the same day;

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

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

(4) move once the program in (1) (2) (3) every day, draw contingent traffic hot spot on the same day, and focus is outputed in traffic hot spot checking and the administration module.

5. the traffic congestion based on the gunz network according to claim 1 is evaded prompt system, it is characterized in that: described server end reporting of user event processing module is implemented as follows:

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

(2) data of (1) are carried out validity and judge, and data are composed a degree of confidence, wherein whether definite method of degree of confidence for having the same content of a plurality of reporting of user, and the analysis user position, the possibility of the generation traffic event that reports;

(3) be configured to the traffic hot spot data with being judged as effective reported event in (2), data are outputed to traffic hot spot checking and administration module.

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

(1) uninterruptedly obtains the focus that from webpage traffic hot spot excavation module, microblogging traffic hot spot excavation module, road conditions law forecasting module, reporting of user event processing module, imports into, focus is removed repeating data operation, and be presented in the interface in " pending focus " tabulation;

(2) by the user hot spot data in (1) is edited, checking and audit, the interface is responsible for showing the attribute data of focus and position in map to the user;

(3) in step (2), confirm the traffic hot spot issued for the user, join in the traffic hot spot formation of issuing, the traffic hot spot queuing data that allows the service end network interface to obtain to issue is with to the client issue, and the focus that will issue is presented in " issuing focus " tabulation simultaneously;

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

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

(1) loads the map control, from locating module, obtain and demonstration portable terminal position in map;

(2) obtain the instant hot spot data that request obtains from the server network interface, be presented at (1) with buoy and obducent mode and load in the good map control, and distinguish type and the influence degree of focus by color and color depth;

(3) need show when evading route as the user, after namely evading route planning algorithm operation and finishing, from the trip route planning module of evading based on focus, obtain result of calculation, will evade route and be presented in the map control that has shown mobile terminal locations and traffic hot spot information in (2) in the obducent mode of broken line.

8. the traffic congestion based on the gunz network according to claim 1 is evaded prompt system, it is characterized in that: described trip route planning module of evading based on focus is implemented as follows:

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

(2) load the instant hot spot data that obtains from server end, obtain instant weather data, calculate influence degree and the coverage of each focus, calculate speed factor of influence and the scope factor of influence of each focus;

(3) origin of selecting according to user in (1) obtains road net data, sets up the road net data structure, and according to getting result of calculation in (2), composes weights to road network;

(4) based on the road network structure of (3), move repeatedly the expansion shortest path first of iteration, calculate and evade the route result;

(5) result with (4) outputs to traffic hot spot and evades the route display module, shows to the user.

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

(1) 4 kinds of traffic events of prediction are respectively " police's visiting ", and " road construction ", " traffic hazard ", " traffic control " corresponds to the reporting events button that uses in the interface, carries out alternately with the user;

(2) after corresponding reporting events button and affirmation report in user's click (1), from locating module, obtain mobile terminal device place longitude and latitude data;

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

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