CN105608918A - Road condition information monitoring method and system - Google Patents
Road condition information monitoring method and system Download PDFInfo
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- CN105608918A CN105608918A CN201610201503.4A CN201610201503A CN105608918A CN 105608918 A CN105608918 A CN 105608918A CN 201610201503 A CN201610201503 A CN 201610201503A CN 105608918 A CN105608918 A CN 105608918A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/09675—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where a selection from the received information takes place in the vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096783—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a roadside individual element
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Abstract
The invention provides a road condition information monitoring method and system. The method comprises the following steps: calculating through adopting a pre-set data mining algorithm model according to a current average speed of each road section and a traffic flow model of a historical same period, so as to obtain predicated road condition information of each road section in pre-set time intervals in the future; then, transmitting the current road condition information and the predicated road condition information of a pre-set road section to a vehicle, wherein the pre-set road section comprises a driving road section of the vehicle and a road section which is arranged in a pre-set range in a manner of being separated from the driving road section; and a user can adjust an own driving route according to the corresponding current road condition information and predicated road condition information of the pre-set road section, and does not need to worry about the problem that the road section has traffic jam when driving to the certain road section.
Description
Technical field
The present invention relates to route guidance technical field, is specifically related to a kind of traffic information method for supervising and system.
Background technology
Along with the continuous increase of private vehicle, cause city inside road jam situation more and more serious, ifCan carry out in time and accurately road conditions report, can help before path that user's fast selecting is suitableToward destination, therefore, the monitoring of traffic information is significant.
Existing road conditions broadcasting system is all generally the information of vehicle flowrate by collecting current each section, and willThe current jam situation real-time broadcasting in each section is to driver.
In the time that user travels to target section, within the current period, target section may be in normal currentState, still, because user is in the time travelling to target section, because the traffic information on target section isConstantly change, therefore, when user is after ten minutes or longer time while arriving at target section, mayCan find that target section has started or blocked up, visible, technical scheme of the prior art can only be broadcastReport the traffic information in the current period, and can not predict the situation of change of traffic information.
Summary of the invention
In view of this, the embodiment of the present invention provides a kind of traffic information method for supervising and system, right to realizeThe user around traffic information in section predicts.
For achieving the above object, the embodiment of the present invention provides following technical scheme:
A kind of traffic information method for supervising, comprising:
Calculate the average speed of the vehicle on each section in the current preset time period, according to described flatAll speed generates the current traffic information in each section;
Obtain the vehicle flowrate model in historical each section of same time prestoring;
Described average speed and described vehicle flowrate model substitution preset data mining algorithm model are countedCalculate, obtain the predicting road conditions information in each section in following Preset Time section;
To vehicle send the residing running section of this vehicle and with described running section interval in preset rangeInterior corresponding current traffic information and the predicting road conditions information in section.
Preferably, in above-mentioned traffic information method for supervising, send the residing running section of this vehicle to vehicleAnd the current traffic information corresponding with the section of described running section interval in preset range and prediction roadCondition information, comprising:
Described front traffic information corresponding each section and described predicting road conditions information are sent to each sectionCorresponding roadside unit;
It is corresponding that the roadside unit in each section obtains other roadside unit institutes in preset range with intervalCurrent traffic information and described predicting road conditions information;
Adopt described roadside unit that the current traffic information getting and described predicting road conditions information are sent toDriving vehicle on its corresponding section.
Preferably, in above-mentioned traffic information method for supervising, send the residing running section of this vehicle to vehicleAnd the current traffic information corresponding with the section of described running section interval in preset range and prediction roadCondition information, comprising:
Set up the traffic information collection corresponding with this running section, Mei Gesuo taking every section as running sectionState running section that traffic information collection comprises that it is corresponding and with the interval of this running section in preset rangeThe corresponding current traffic information in section and predicting road conditions information around;
By cellular network, described traffic information collection is sent to the vehicle being positioned on described running section.
Preferably, in above-mentioned traffic information method for supervising, also comprise:
Obtain the navigation information that navigation vehicle sends;
When described navigation route information has only included, when dead-centre position information, described navigation information is brought intoDescribed preset data mining algorithm model;
Adopt described default mining algorithm model to divide according to described predicting road conditions information and navigation informationAnalyse, obtain suggestion guidance path;
By current traffic information corresponding to each section on described suggestion guidance path and suggestion guidance pathBe sent to described navigation vehicle with predicting road conditions information.
Preferably, in above-mentioned traffic information method for supervising, described described suggestion guidance path and suggestion are ledCorresponding current traffic information and the predicting road conditions information in each section in bit path is sent to described navigation vehicle, comprising:
Described navigation information is resolved, obtain address information and institute that described navigation vehicle is correspondingState the address information of the corresponding roadside unit in section that travels of navigation vehicle;
By each section pair on described address information, suggestion guidance path and suggestion guidance pathIt is single that the current traffic information of answering and predicting road conditions information are sent to the roadside matching with described address informationUnit;
Described roadside unit is by corresponding each section on described suggestion guidance path and suggestion guidance pathCurrent traffic information and predicting road conditions information are sent to the navigation vehicle matching with described address information.
Preferably, in above-mentioned traffic information method for supervising, described and described running section interval is at default modelSection in enclosing, comprising:
With the section of described running section interval within the scope of default jumping figure, wherein, described jumping figure refers toThe section quantity at the interval between other sections and described running section.
A kind of traffic information monitoring system, comprising:
Roadside unit, the data server being connected with described roadside unit by wireless network;
Described roadside unit comprises: speed computing unit and the first communication unit;
Described speed computing unit, for calculating the vehicle on each section in the current preset time periodAverage speed, generate the current traffic information in each section according to described average speed;
Described the first communication unit, for being sent to described data server by described current traffic information;
Described data server, comprises data processing unit and the second communication unit;
Described output processing unit, for by the vehicle flowrate model in historical each section of same time prestoring andDescribed average speed substitution preset data mining algorithm model calculates, and obtains in following Preset Time sectionThe predicting road conditions information in each section;
Described the second communication unit, for send the residing running section of this vehicle and with the described road of travellingThe current traffic information that the section of spacer segment in preset range is corresponding and predicting road conditions information.
Preferably, in above-mentioned traffic information monitoring system, described the second communication unit specifically for, with instituteState the first communication unit and carry out data communication, by described front traffic information corresponding each section and described pre-Survey traffic information and send corresponding roadside unit;
Described the first communication unit, for vehicle, described the second communication unit and interval in preset rangeOther interior first communication units carry out data communication, obtain the current road that described the second communication unit sendsCondition information and described predicting road conditions information, obtain current traffic information that other first modules obtain and described inPredicting road conditions information, is sent to described by the current traffic information getting and described predicting road conditions informationDriving vehicle on section corresponding to one communication unit.
Preferably, in above-mentioned traffic information monitoring system, described data server comprises:
Positioning unit, for setting up the road conditions corresponding with this running section taking every section as running sectionInformation set, each described traffic information collection comprises running section that it is corresponding and the interval with this running sectionThe corresponding current traffic information in section and predicting road conditions information around in preset range;
Described the second communication unit specifically for: by cellular network, described traffic information collection is sent to instituteState the driving vehicle on the section that traffic information machine is corresponding.
Preferably, in above-mentioned traffic information monitoring system, described data server also comprises:
Navigation elements, the navigation information sending for obtaining navigation vehicle, brings described navigation information into instituteState preset data mining algorithm model, adopt described default mining algorithm model according to described predicting road conditions letterBreath and navigation information are analyzed, and obtain suggestion guidance path, and wherein, described navigation route information at leastComprise navigation starting point and terminal;
Described the second communication unit is also for, each by described suggestion guidance path and suggestion on guidance pathThe current traffic information that individual section is corresponding and predicting road conditions information are sent to described navigation vehicle.
Preferably, in above-mentioned traffic information monitoring system, described data server also comprises:
Address resolution unit, resolves for the navigation information that described vehicle is sent, and described in obtaining, leadsThe address information that boat vehicle is corresponding and the corresponding roadside unit of running section of described navigation vehicleAddress information;
Described the second communication unit specifically for, by described address information, suggestion guidance path andCorresponding current traffic information and the predicting road conditions information in each section on suggestion guidance path is sent to and instituteState the roadside unit that address information matches;
Described the first communication unit is also for, each by described suggestion guidance path and suggestion on guidance pathThe current traffic information that individual section is corresponding and predicting road conditions information are sent to described address information and matchNavigation vehicle.
Preferably, in above-mentioned traffic information monitoring system, described and described running section interval is at default modelSection in enclosing refers to, with the section of described running section interval within the scope of default jumping figure, wherein,Described jumping figure refers to the section quantity at the interval between other sections and described running section.
Based on technique scheme, traffic information method for supervising and system that the embodiment of the present invention provides, logicalCross and adopt described preset data mining algorithm model according to the current average speed in each section and simultaneously historicalThe vehicle flowrate model of phase calculates, and obtains the predicting road conditions information in each section in following Preset Time section,Then send predicting road conditions letter described in the current traffic information in default section and predicting road conditions information to vehicleBreath, described default section comprise the residing running section of this vehicle and with described running section interval in advanceIf the section in scope, user can be according to current traffic information corresponding to described default section and default roadCondition information is adjusted oneself travel route, and has found this section while not worrying driving to a certain sectionThe problem of traffic congestion.
Brief description of the drawings
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, below will be to realityThe accompanying drawing of executing required use in example or description of the Prior Art is briefly described, apparently, belowAccompanying drawing in description is only embodiments of the invention, for those of ordinary skill in the art, notPay under the prerequisite of creative work, other accompanying drawing can also be provided according to the accompanying drawing providing.
Fig. 1 is the flow chart of the disclosed a kind of traffic information method for supervising of the embodiment of the present application;
Fig. 2 is the flow chart of the disclosed a kind of traffic information method for supervising of another embodiment of the application;
Fig. 3 is the flow chart of the disclosed a kind of traffic information method for supervising of another embodiment of the application;
Fig. 4 is the flow chart of the disclosed a kind of traffic information method for supervising of another embodiment of the application;
Fig. 5 is the structural representation of the disclosed a kind of traffic information monitoring system of the embodiment of the present application;
Fig. 6 is the structural representation of the disclosed a kind of traffic information monitoring system of another embodiment of the application.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried outDescribe clearly and completely, obviously, described embodiment is only the present invention's part embodiment, andNot whole embodiment. Based on the embodiment in the present invention, those of ordinary skill in the art are not doingGo out the every other embodiment obtaining under creative work prerequisite, all belong to the scope of protection of the invention.
Be directed in prior art, user can only obtain the traffic information in each section in current slot,And can not obtain the problem of the traffic information in each section in following Preset Time section, the application disclosesA kind of traffic information method for supervising, referring to Fig. 1, the method concrete steps can comprise:
Step S101: calculate the average speed of the vehicle on each section in the current preset time period,Generate the current traffic information in each section according to described average speed;
In this step, in the time calculating the average speed of the vehicle on Mei Duan road, by calculating on this sectionThe average speed of each vehicle on this section, then passes through warp on inherent this section of Preset Time sectionThe sum of the vehicle of crossing, and the average speed of each vehicle calculates, and obtains at described Preset TimeThe average speed of the vehicle in this section in section, the size of the average speed of the vehicle on described this section justThe traffic information in current this section can be represented, each section can be generated according to described average speedCurrent traffic information;
Step S102: the vehicle flowrate model that obtains historical each section of same time prestoring;
Described vehicle flowrate model is through long-time disconnected interior traffic information, information of vehicle flowrate to each sectionDeng carrying out constantly, statistics obtains;
Step S103: by described average speed and described vehicle flowrate model substitution preset data mining algorithm mouldType calculates, and obtains the predicting road conditions information in each section in following Preset Time section;
In this step, be that data are dug according to the process of mining algorithm model calculating predicting road conditions informationThe process of pick, specifically, first will have a data mining algorithm model having trained (defaultData mining algorithm model), then by data described in described average speed and the substitution of described vehicle flowrate modelMining algorithm model, with regard to the predicting road conditions information in the following Preset Time section in available each section;
It should be noted that, in prior art, existed a lot of data mining algorithm models to applyIn the disclosed method of the above embodiments of the present application, for example, SVMs (SupportVectorMachine, SVM), decision tree, neural network algorithm etc. Wherein, in the described data mining of trainingTraining process when algorithm model can be repetition training, and each result of excavating may be used toContinue described default mining algorithm model training. At the disclosed algorithm of the above embodiments of the present applicationIn, described preset data mining algorithm model is by using historical data mining algorithm model to carry out repeatedlyTrain an initial model to obtain. Concrete, described preset data mining algorithm model can by asLower step is trained and is obtained:
(1) history each link flow model same period is added to training process, initial model is revised;
(2) current traffic information is added to training process, further correction model;
(3) above-mentioned (1), (2) two steps may need the execution that iterates, until model convergence;
(4) mould of exporting above-mentioned convergence is as described preset data mining algorithm model.
Step S104: send the default corresponding current traffic information in section and predicting road conditions information to vehicle,Wherein, described default section comprises the residing running section of this vehicle and exists with described running section intervalSection in preset range.
Described vehicle is getting current traffic information corresponding to described default section and predicting road conditions informationTime, by road conditions broadcasting system, the traffic information getting is reported, wherein, reporting content canReport also and can show by electronic chart with the form of voice, when being undertaken by electronic chartWhen demonstration, can on described electronic chart, mark current traffic information corresponding to described default section and pre-Survey traffic information.
Visible referring to the disclosed method of the above embodiments of the present application, calculate by adopting described preset data to excavateMethod model calculates according to current average speed and the historical vehicle flowrate model of the same period in each section,Obtain the predicting road conditions information in each section in following Preset Time section, then send default section to vehicleCurrent traffic information and predicting road conditions information described in predicting road conditions information, described default section comprises this carResiding running section and with the section of described running section interval in preset range, userAccording to current traffic information corresponding to described default section and the road of travelling of default traffic information adjustment oneselfLine, and find the problem that this section has blocked up while not worrying driving to a certain section.
Be understandable that, in said method, send the corresponding current traffic information in default section to vehicleDuring with predicting road conditions information, can send by several different methods, concrete, referring to Fig. 2, said method canSend current traffic information and the prediction in the default section corresponding with described vehicle to vehicle by roadside unitTraffic information, now, the method is specifically as follows:
Step S1041: described front traffic information corresponding each section and described predicting road conditions information are sentTo roadside unit corresponding to each section;
In the disclosed method of the above embodiments of the present application, the corresponding roadside unit in each section, described inCurrent traffic information and described default traffic information can be sent to this roadside unit by described roadside unitVehicle on corresponding section;
Step S1042: the roadside unit in each section obtains other roadsides in preset range with intervalThe corresponding current traffic information in unit and described predicting road conditions information;
In this step, each roadside unit is getting in the current period, its corresponding section currentAfter traffic information and described predicting road conditions information, its roadside unit corresponding to other sections around of automatic acquisitionCurrent traffic information in the current period collecting and predicting road conditions information, to user (vehicle)Send around current traffic information and the predicting road conditions information in each section;
Step S1043: described roadside unit is by the current traffic information getting and described predicting road conditions informationBe sent to the driving vehicle on its corresponding section;
In this step, current traffic information corresponding to each roadside unit roadside unit around gettingAfter predicting road conditions information, all current road conditions of correspondence in the current period that roadside unit is gotAfter information and predicting road conditions information, these traffic informations are sent on the section that this roadside unit is correspondingVehicle, vehicle user can be according to the current traffic information in the surrounding section getting and predicting road conditions informationAdjust the travel route of oneself.
Certainly, except forwarding described current traffic information and predicting road conditions by employing roadside unit to vehicleOutside information, can also be passed through wireless network and directly be sent to vehicle, the preferred honeybee of described wireless networkNest network, concrete, referring to Fig. 3, the method comprises:
Step S1044: set up the traffic information matching with this running section taking every section as running sectionCollection;
Wherein, each described traffic information collection comprises: default corresponding current traffic information and the prediction in sectionTraffic information, described default section comprises: the running section corresponding with this traffic information collection and with this rowThe interval of sailing section in preset range around section;
Step S1045: described traffic information collection is sent to and is positioned on described running section by cellular networkVehicle.
Be understandable that, the disclosed method of the above embodiments of the present application provides user except implementing to userOutside traffic information (current traffic information and predicting road conditions information) around, can also provide to userTraffic information on navigation way, concrete, the method also comprises:
Step S105: obtain navigation vehicle send navigation information, when judge navigation information only included,When dead-centre position information, execution step S107; In the time that described navigation information is a guidance path, carry out stepRapid S110;
Step S106: bring described navigation information into described preset data mining algorithm model;
Step S107: adopt described default mining algorithm model according to described predicting road conditions information and navigation letterBreath is analyzed, and obtains suggestion guidance path, and wherein, described navigation route information at least comprises and navigatingPoint and terminal;
In the disclosed technical scheme of the present embodiment, described default mining algorithm model is except calculating prediction roadOutside condition information, can also carry out path navigation according to the described predicting road conditions information in each section, to helpHelp user to find a more convenient path (suggestion guidance path);
Step S108: by corresponding the working as in each section on described suggestion guidance path and suggestion guidance pathFront traffic information and predicting road conditions information are sent to described navigation vehicle;
In this step, the suggestion path that user obtains the predicting road conditions information according to each section sendsGive navigation vehicle, can certainly be by described suggestion guidance path and described suggestion guidance path upperCorresponding predicting road conditions information, the current traffic information in each section be sent to described navigation vehicle so thatUser determines navigation way.
Step S109: current traffic information and the predicting road conditions of transferring each section on described guidance pathInformation, execution step S110;
Step S110: by the current traffic information in each section on the described guidance path to being deployed into andPredicting road conditions information sends to described navigation vehicle;
In the time that described navigation information is a complete guidance path, described the above embodiments of the present application are disclosedMethod only need to be transferred current traffic information and the predicting road conditions letter in each section on described guidance pathBreath, by current traffic information and predicting road conditions letter to falling each section on the described guidance path of channelBreath sends to described navigation vehicle, now, and described in described navigation vehicle can show by electronic chartGuidance path and current traffic information and the predicting road conditions letter corresponding with each section on described guidance pathBreath.
Identical with said method, in the time sending described suggestion guidance path to user, can pass through roadside unitForwarding, can certainly directly send to navigation vehicle by wireless network, concrete, pass through roadsideWhen unit forwards, described step S108 specifically can comprise:
Step S1081: described navigation information is resolved, obtain the communication ground that described navigation vehicle is correspondingThe address information of the corresponding roadside unit in section that location information and described navigation vehicle travel;
Step S1082: described address information and suggestion guidance path are sent to and described address informationThe roadside unit matching;
Certainly, when need to be by current traffic information corresponding each section on described suggestion guidance path andWhen predicting road conditions information is sent to described navigation vehicle, can be by described suggestion navigation road in step S1082Current traffic information corresponding to each section on footpath is sent to and described address together with predicting road conditions informationThe roadside unit that information matches;
Step S1083: adopt described roadside unit that described suggestion guidance path is sent to and described communication groundThe navigation vehicle that location information matches;
Described roadside unit get described address information and suggestion guidance path after, according to described inAddress information is carried out data transmission, and described suggestion guidance path is sent to and described address letterThe navigation vehicle of manner of breathing coupling, certainly, if described roadside unit also gets and described suggestion navigation roadWhen the current traffic information that each section on footpath is corresponding and predicting road conditions information, also need described suggestionCorresponding current traffic information and the predicting road conditions information in each section on guidance path is sent to described navigationVehicle.
In the disclosed method of the above embodiments of the present application, user can set according to self-demand described " pre-If scope " for example, described preset range can refer to default number, and described jumping figure refers to otherThe section quantity at the interval between section and described running section. Now, in such scheme, with described rowSailing the section of interval, section in preset range can refer to: jump default with described running section intervalSection in number scope.
Before the disclosed method of the above embodiments of the present application is carried out, can be (every at each roadside unit in advanceThe one corresponding section of roadside unit) between set up topological model, each roadside unit can be known attachedNear section and the information of corresponding roadside unit.
Each described roadside unit can be with the information of near section form storage and roadside unit. TableLattice example is as follows:
Table 1 roadside unit storage information example
Wherein, jumping figure refers to that this section arrives the section number that need pass through in this section, and jumping figure is to represent this at 1 o'clockBetween Yu Zhe section, section, be connected; Minimum distance refers to and arrives at from this section all paths in this sectionThe near distance that has a paths, between adjacent two sections, distance is 0.
Described roadside unit in the time will sending traffic information to vehicle, can by above-mentioned list and with above-mentioned rowCorresponding current traffic information and the predicting road conditions information of roadside unit in table is sent to target vehicle, described inTarget vehicle carries out road conditions report according to this list and described current traffic information and predicting road conditions information.
Be understandable that, corresponding with said method, disclosed herein as well is a kind of traffic information monitoringSystem, both can use for reference mutually, and referring to Fig. 5, this system can comprise:
Roadside unit 100, the data server 200 being connected with described roadside unit 100 by wireless network;
Described roadside unit 100 comprises: speed computing unit 110 and the first communication unit 120, describedOne communication unit 120 for realizing between roadside unit 100 and vehicle, roadside unit 100 is single with roadsideData communication between unit 100, between roadside unit 100 and data server 200;
Described speed computing unit 110, for calculating the car on each section in the current preset time periodAverage speed, generate the current traffic information in each section according to described average speed;
Described the first communication unit 120, for being sent to described data, services by described current traffic informationDevice;
Described data server 200, comprises data processing unit 210 and the second communication unit 220, described inThe second communication unit 220 is for realizing roadside unit 100 and data server 200, vehicle and described dataData communication between server 200;
Described output processing unit 210, for by the vehicle flowrate model in historical each section of same time prestoringCount with the average speed substitution preset data mining algorithm model that described roadside unit 100 calculatesCalculate, obtain the predicting road conditions information in each section in following Preset Time section;
Described the second communication unit 220, for sending the corresponding current traffic information in default section to vehicleWith predicting road conditions information, wherein, described default section comprise the residing running section of this vehicle and with instituteState the section of running section interval in preset range.
Described roadside unit 100 vehicle average on the section that calculates these roadside unit 100 correspondencesAfter speed, this average speed is sent to described data server 200, described data server 200 will be eachThe vehicle flowrate model substitution preset data of the average speed that individual roadside unit 100 sends and pre-stored is excavatedAlgorithm model calculates, and obtains the predicting road conditions information in the section of each roadside unit 100 correspondences, toVehicle sends predicting road conditions information and the current traffic information in the default section corresponding with this vehicle, Qi ZhongsuoStating current traffic information can directly be obtained by described average speed.
Corresponding with said method, current traffic information and the predicting road conditions information in described default section are passableBe sent to target vehicle by described roadside unit 100, now described the second communication unit 220 is specifically usedIn, carry out data communication with described the first communication unit 120, by described front road conditions corresponding each sectionInformation and described predicting road conditions information are sent to corresponding roadside unit 110;
Described the first communication unit 120, for vehicle, described the second communication unit 220 and interval in advanceIf the first communication unit 120 of other in scope carries out data communication, obtain described the second communication unit 120The current traffic information and the described predicting road conditions information that send, obtain interval in preset range other theThe current traffic information that one unit 120 obtains and described predicting road conditions information, by the current road conditions that getInformation and described predicting road conditions information are sent to travelling on the section of described the first communication unit 100 correspondencesVehicle.
Corresponding with said method, described data server 200 also can be directly by wireless network by instituteState corresponding current traffic information and the predicting road conditions information in default section and be sent to corresponding target vehicle. ThisTime, referring to Fig. 6, described data server 200 also comprises:
Positioning unit 230, described positioning unit 230 is for using each section as running section, set up withDescribed running section is traffic information collection one to one, and each described traffic information collection comprises the row of its correspondenceSail section and with the corresponding current road conditions letter in section around the interval of this running section is in preset rangeBreath and predicting road conditions information;
Now, described the second communication unit 220 specifically for: by cellular network by described traffic informationCollection is sent to the driving vehicle on the section that described traffic information machine is corresponding.
Corresponding with said method, the disclosed described traffic information monitoring system of the above embodiments of the present application,Except near road conditions information prediction carrying out, can also be used for route guidance, now, described numberAlso comprise according to server 200:
Navigation elements 240, the navigation information sending for obtaining navigation vehicle, when described navigation information only wrapsDraw together, when dead-centre position information, brought described navigation information into described preset data mining algorithm model,Adopt described default mining algorithm model to analyze according to described predicting road conditions information and navigation information,To suggestion guidance path; In the time that described navigation information is a guidance path, transfer on described guidance pathThe current traffic information in each section and predicting road conditions information;
Described the second communication unit 220 also for, by described suggestion guidance path and suggestion guidance path onCorresponding current traffic information and the predicting road conditions information in each section be sent to described navigation vehicle, will adjustCurrent traffic information and the predicting road conditions information in each section on the described guidance path of getting send to instituteState navigation vehicle.
Corresponding with said method, what described data server 200 can obtain described navigation information locatesReason result is sent to navigation vehicle by described roadside unit 100, now, and described data server 200Also comprise:
Address resolution unit 250, resolves for the navigation information that described vehicle is sent, described in obtainingThe address information that navigation vehicle is corresponding and the corresponding roadside unit of running section of described navigation vehicleAddress information;
Described the second communication unit 220 specifically for, by described address information, suggestion guidance pathAnd corresponding current traffic information and the predicting road conditions information in each section on suggestion guidance path is sent toThe roadside unit 100 matching with described address information, by described address information and be deployed into described inCurrent traffic information and the predicting road conditions information in each section on guidance path send to described address informationThe roadside unit 100 matching;
Described the first communication unit 100 also for, by described suggestion guidance path and suggestion guidance path onCorresponding current traffic information and the predicting road conditions information in each section be sent to and described address informationThe navigation vehicle matching, by each road on described address information and the described guidance path that is deployed intoThe navigation vehicle that the current traffic information of section and predicting road conditions information send to described address information to match.
In this description, each embodiment adopts the mode of going forward one by one to describe, and each embodiment stressesBe and the difference of other embodiment, between each embodiment identical similar part mutually referring to.For the disclosed device of embodiment, because it corresponds to the method disclosed in Example, so describeFairly simple, relevant part illustrates referring to method part.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field can be realized or useThe present invention. To be aobvious and easy for those skilled in the art to the multiple amendment of these embodimentSee, General Principle as defined herein can be in the situation that not departing from the spirit or scope of the present invention,Realize in other embodiments. Therefore, the present invention will can not be restricted to these embodiment shown in this article,But to meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (12)
1. a traffic information method for supervising, is characterized in that, comprising:
Calculate the average speed of the vehicle on each section in the current preset time period, according to described flatAll speed generates the current traffic information in each section;
Obtain the vehicle flowrate model in historical each section of same time prestoring;
Described average speed and described vehicle flowrate model substitution preset data mining algorithm model are countedCalculate, obtain the predicting road conditions information in each section in following Preset Time section;
To vehicle send the residing running section of this vehicle and with described running section interval in preset rangeInterior corresponding current traffic information and the predicting road conditions information in section.
2. traffic information method for supervising according to claim 1, is characterized in that, sends to vehicleThe residing running section of this vehicle and corresponding with the section of described running section interval in preset rangeCurrent traffic information and predicting road conditions information, comprising:
Described front traffic information corresponding each section and described predicting road conditions information are sent to each sectionCorresponding roadside unit;
It is corresponding that the roadside unit in each section obtains other roadside unit institutes in preset range with intervalCurrent traffic information and described predicting road conditions information;
Adopt described roadside unit that the current traffic information getting and described predicting road conditions information are sent toDriving vehicle on its corresponding section.
3. traffic information method for supervising according to claim 1, is characterized in that, sends to vehicleThe residing running section of this vehicle and corresponding with the section of described running section interval in preset rangeCurrent traffic information and predicting road conditions information, comprising:
Set up the traffic information collection corresponding with this running section, Mei Gesuo taking every section as running sectionState running section that traffic information collection comprises that it is corresponding and with the interval of this running section in preset rangeThe corresponding current traffic information in section and predicting road conditions information around;
By cellular network, described traffic information collection is sent to the vehicle being positioned on described running section.
4. traffic information method for supervising according to claim 1, is characterized in that, also comprises:
Obtain the navigation information that navigation vehicle sends;
When described navigation route information has only included, when dead-centre position information, described navigation information is brought intoDescribed preset data mining algorithm model;
Adopt described default mining algorithm model to divide according to described predicting road conditions information and navigation informationAnalyse, obtain suggestion guidance path;
By current traffic information corresponding to each section on described suggestion guidance path and suggestion guidance pathBe sent to described navigation vehicle with predicting road conditions information.
5. traffic information method for supervising according to claim 4, is characterized in that, described will described inCorresponding current traffic information and the predicting road conditions in each section on suggestion guidance path and suggestion guidance pathInformation is sent to described navigation vehicle, comprising:
Described navigation information is resolved, obtain address information and institute that described navigation vehicle is correspondingState the address information of the corresponding roadside unit in section that travels of navigation vehicle;
By each section pair on described address information, suggestion guidance path and suggestion guidance pathIt is single that the current traffic information of answering and predicting road conditions information are sent to the roadside matching with described address informationUnit;
Described roadside unit is by corresponding each section on described suggestion guidance path and suggestion guidance pathCurrent traffic information and predicting road conditions information are sent to the navigation vehicle matching with described address information.
6. according to the traffic information method for supervising described in claim 1-5, it is characterized in that described and instituteState the section of running section interval in preset range, comprising:
With the section of described running section interval within the scope of default jumping figure, wherein, described jumping figure refers toThe section quantity at the interval between other sections and described running section.
7. a traffic information monitoring system, is characterized in that, comprising:
Roadside unit, the data server being connected with described roadside unit by wireless network;
Described roadside unit comprises: speed computing unit and the first communication unit;
Described speed computing unit, for calculating the vehicle on each section in the current preset time periodAverage speed, generate the current traffic information in each section according to described average speed;
Described the first communication unit, for being sent to described data server by described current traffic information;
Described data server, comprises data processing unit and the second communication unit;
Described output processing unit, for by the vehicle flowrate model in historical each section of same time prestoring andDescribed average speed substitution preset data mining algorithm model calculates, and obtains in following Preset Time sectionThe predicting road conditions information in each section;
Described the second communication unit, for send the residing running section of this vehicle and with the described road of travellingThe current traffic information that the section of spacer segment in preset range is corresponding and predicting road conditions information.
8. traffic information monitoring system according to claim 7, is characterized in that, described second is logicalNews unit specifically for, carry out data communication with described the first communication unit, by institute corresponding each sectionState front traffic information and described predicting road conditions information sends corresponding roadside unit;
Described the first communication unit, for vehicle, described the second communication unit and interval in preset rangeOther interior first communication units carry out data communication, obtain the current road that described the second communication unit sendsCondition information and described predicting road conditions information, obtain current traffic information that other first modules obtain and described inPredicting road conditions information, is sent to described by the current traffic information getting and described predicting road conditions informationDriving vehicle on section corresponding to one communication unit.
9. traffic information monitoring system according to claim 7, is characterized in that, described data clothesBusiness device comprises:
Positioning unit, for setting up the road conditions corresponding with this running section taking every section as running sectionInformation set, each described traffic information collection comprises running section that it is corresponding and the interval with this running sectionThe corresponding current traffic information in section and predicting road conditions information around in preset range;
Described the second communication unit specifically for: by cellular network, described traffic information collection is sent to instituteState the driving vehicle on the section that traffic information machine is corresponding.
10. traffic information monitoring system according to claim 7, is characterized in that, described dataServer also comprises:
Navigation elements, the navigation information sending for obtaining navigation vehicle, brings described navigation information into instituteState preset data mining algorithm model, adopt described default mining algorithm model according to described predicting road conditions letterBreath and navigation information are analyzed, and obtain suggestion guidance path, and wherein, described navigation route information at leastComprise navigation starting point and terminal;
Described the second communication unit is also for, each by described suggestion guidance path and suggestion on guidance pathThe current traffic information that individual section is corresponding and predicting road conditions information are sent to described navigation vehicle.
11. traffic information monitoring systems according to claim 10, is characterized in that described dataServer also comprises:
Address resolution unit, resolves for the navigation information that described vehicle is sent, and described in obtaining, leadsThe address information that boat vehicle is corresponding and the corresponding roadside unit of running section of described navigation vehicleAddress information;
Described the second communication unit specifically for, by described address information, suggestion guidance path andCorresponding current traffic information and the predicting road conditions information in each section on suggestion guidance path is sent to and instituteState the roadside unit that address information matches;
Described the first communication unit is also for, each by described suggestion guidance path and suggestion on guidance pathThe current traffic information that individual section is corresponding and predicting road conditions information are sent to described address information and matchNavigation vehicle.
12. according to the traffic information monitoring system described in claim 7-11 any one, it is characterized in that,The section of described and described running section interval in preset range refers to, with described running section intervalSection within the scope of default jumping figure, wherein, described jumping figure refers to other sections and described running sectionBetween the section quantity at interval.
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