CN101887440B - Hot spot analytic system and method - Google Patents
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- CN101887440B CN101887440B CN2009101390013A CN200910139001A CN101887440B CN 101887440 B CN101887440 B CN 101887440B CN 2009101390013 A CN2009101390013 A CN 2009101390013A CN 200910139001 A CN200910139001 A CN 200910139001A CN 101887440 B CN101887440 B CN 101887440B
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Abstract
The invention relates to a hot spot analytic system and a method. The hot spot analytic system comprises a database, a filtering module, a grouping module and an analyzing module, wherein the database stores a plurality of records, each record at least comprises one situation message, and the situation message at least comprises one time message and one position message; the filtering module filters to obtain a plurality of filter records according to the current situation message and records, wherein the current situation message at least comprises one current time message; the grouping module groups according to the position message of the filter record to obtain at least one hot spot group and generate a corresponding hot spot area for each hot spot group; and the analyzing module respectively generates an integral heat degree for each hot spot group according to the number of the filter records in each hot spot group and the size of the corresponding hot spot area, and provides at least one hot spot area message according to the integral heat degree of each hot spot group and the corresponding hot spot area thereof.
Description
Technical field
The invention relates to a kind of hot spot analytic system and method, but especially be particularly to a kind of hot spot analytic system and the method for focus of analyze demands so that hot spot region information to be provided.
Background technology
Because the elasticity of taxi makes taxi become one of the important vehicles in city with convenient.At present, the dial-a-cab of taxi normally must be called the administrative center to taxi by the user, and administrative center selects through different mechanism and sends specific taxi to the specified place of user.
For instance, U.S. Patent Publication proposes for No. 20040177109 to link up behavior through the chauffeur that CCC utilizes communication network to be connected in series between taxi and the passenger.In addition, the Taiwan patent proposes one for No. 1224743 and sends module automatically, and its chauffeur place according to the user utilizes the specific rule of sending to select and send near vehicle.
In general, known technology focuses on that improving chauffeur flow process and vehicle selects and the technology of sending, and does not all have for the cabin factor of taxi or the problems such as waiting time that shorten the passenger and mentions.Yet; In some cases, when the zone of user present position belongs to the user who has many proposition dial-a-cab in remote or the zone simultaneously, because the taxi in the zone is limited; The time of user's average waiting taxi will be elongated, thereby causes the unhappy of user and inconvenience.On the other hand, if when having too many taxi in the zone, the situation that can cause also that taxi empty wagons number is too high, cabin factor is on the low side or rob the visitor takes place, and makes that the operation costs of taxi increase, business revenue reduces, and quite is not inconsistent economic benefit.Therefore, this case hopes to propose a kind of solution of effective analysis of central issue, as when being applied in taxi; Can analyze the carrying focus of taxi; For taxi provides hot spot region information, and then improving the cabin factor of taxi, and reduce passenger's waiting time; Can significantly reduce the operation costs of taxi, improve its economic benefit.
Summary of the invention
In view of this, the objective of the invention is to propose a kind of hot spot analytic system and method.System and method particularly suitable of the present invention but do not limit is applied in the analysis of central issue that taxi takes; In the time of further; Also can be applicable to other various analysiss of central issue, for example common people tourist hot spot analysis, the analysis of central issue of food and drink shop, parking stall analysis of central issue, road traffic analysis of central issue or the like.
A kind of hot spot analytic system of the embodiment of the invention comprises a database, a screening module, hive off a module and an analysis module.Database storage has many notes records, and wherein, each record comprises a contextual information at least, and contextual information comprises a time information and a positional information at least.Screening module is according to a present contextual information and a record, and screening obtains many screening records, and wherein, contextual information comprises a present temporal information at least at present.The module of hiving off is hived off according to the positional information of screening record, obtains at least one focus group, and be hot spot region that each focus group produces correspondence.Analysis module is according to the number of screening record in each focus group and corresponding hot spot region size; Produce a whole temperature for each focus group respectively; And whole temperature and corresponding hot spot region thereof according to each focus group provide at least one hot spot region information; One time model; In order to write down the semantic structure of corresponding time; Wherein, said screening module is more in order to the said present temporal information according to said present contextual information, by capturing one first corresponding special period in the said time model; And screen said these records in the said database according to said first special period, to obtain said these screening records; And wherein, said whole temperature is the length according to the number of the screening record of each said at least one focus group, hot spot region size, special period, and an adjustment coefficient and producing.
A kind of analysis of central issue method of the embodiment of the invention.At first, a database is provided.Database storage has many notes records, and wherein, each record comprises a contextual information at least, and contextual information comprises a time information and a positional information at least.Then, obtain a present contextual information, wherein, contextual information comprises a present temporal information at least at present.Afterwards, according to the record at present contextual information and the database, screening obtains many screening records, and hives off according to the positional information of screening record, obtains at least one focus group, and be hot spot region that each focus group produces correspondence.Afterwards; According to the number of screening record in each focus group and corresponding hot spot region size; Produce a whole temperature for each focus group respectively, and, at least one hot spot region information is provided according to the whole temperature of each focus group and corresponding hot spot region thereof; One time model is provided, in order to write down the semantic structure of corresponding time; According to the said present temporal information and the said time model of said present contextual information, capture one first corresponding special period; And said first special period of foundation is screened said these records in the said database; To obtain said these screening records; Wherein, Said whole temperature system is according to the length of the number of the screening record of each said at least one focus group, hot spot region size, special period, and one adjusts coefficient and produces.
In certain embodiments, can be according to the positional information of each screening record in each focus group, for each focus group with/or corresponding hot spot region name.
In certain embodiments, can produce a relative temperature to each focus group respectively according to the whole temperature of each focus group and each focus group and the distance of a current position information of contextual information at present.In addition; In certain embodiments; Can according to the number of mobile device in the relative temperature of each focus group, the corresponding hot spot region, with the hot spot region of corresponding each focus group in event and participation number thereof, respectively to each focus group generation one real-time temperature.
Said method of the present invention can exist through program code means.When program code was loaded and carries out by machine, machine became in order to carry out device of the present invention.
For make above-mentioned purpose of the present invention, feature and advantage can be more obviously understandable, hereinafter is special lifts embodiment, and cooperates appended accompanying drawing, specifies as follows.
Description of drawings
Fig. 1 is a synoptic diagram that shows according to the hot spot analytic system of the embodiment of the invention.
Fig. 2 is a process flow diagram that shows according to the analysis of central issue method of the embodiment of the invention.
Fig. 3 is a process flow diagram that shows according to the focus screening technique of the embodiment of the invention.
Fig. 4 is a process flow diagram that shows according to the focus group/hot spot region naming method of the embodiment of the invention.
Fig. 5 is a process flow diagram that shows according to the temperature computing method of the embodiment of the invention.
Drawing reference numeral:
100～temperature analytic system;
110～database;
120～screening module;
130～the module of hiving off;
140～analysis module;
150～end device;
S210, S220 ..., S250～step;
S221, S222, S223, S224～step;
S410, S420, S430, S440～step;
S241, S242, S243, S244～step.
Embodiment
Fig. 1 shows the hot spot analytic system according to the embodiment of the invention.Hot spot analytic system 100 according to the embodiment of the invention goes for an electronic installation, and said electronic installation can be server, workstation, information station (KIOSK), computing machine, mobile computer, palmtop computer, industrial computer, personal digital aid (PDA), intelligent mobile phone, satellite navigation machine or other any end device that computing function is provided etc.
Hot spot analytic system 100 comprise at least a database 110, a screening module 120, hive off module 130, with an analysis module 140.Database 110 comprises many notes records, like the chauffeur record.The chauffeur record can be phone chauffeur record and roadside chauffeur record.Each record comprises a contextual information at least, like temporal information, positional information, and Weather information etc.Be noted that the record in the database 110 can be to be sent to database 110 via a remote data base (not shown) or an end device 150 via a communication network to store, said end device can also be a mobile device.In another embodiment, said system 100 more includes an operation-interface, in order to import said contextual information.
The module of hiving off 130 can be hived off screening record, thereby obtains at least one focus group.In certain embodiments; The module of hiving off 130 can be utilized the algorithm that hives off; The polymerization algorithm (Hierarchical Agglomerative Clustering Algorithm) that hives off like hierarchy type; Coming to hive off for the screening record in position according between current position information and each the screening record, and is that each focus group produces a corresponding hot spot region.The generation of said hot spot region can have numerous embodiments, for example according to the position of all focuses in each focus group, calculate can contain all focuses in each focus group a regional extent as said hot spot region; Or according to the focus of position outermost in each focus group, its position of connecting is to iris out a regional extent as said hot spot region; Or; Compare hotspot location and the actual geographic area (or administrative region, contain specific landmark/the build zone in thing/highway section) of each focus group, to judge the actual geographic area that the position meets or distance is close (or administrative region, contain specific landmark/the build zone in thing/highway section) as said hot spot region etc.
In certain embodiments, hot spot analytic system 100 can more comprise a name module and a position model (not shown).Position model is the semantic structure of recording geographical position, like multiple tracks road unit, and like the definition of intersection, highway section, sight spot and/or terrestrial reference, and the annexation of unit road.The name module can be named for each focus group and corresponding hot spot region according to the position of each screening record in position model and each the focus group, and its details will be in the back explanation.
What be worth explanation is; In certain embodiments; Screening module 120 in the hot spot analytic system 100, the module of hiving off 130, analysis module 140, and the name module can be with the real work of software and hardware mode, and performed by a processing unit of electronic installation.In certain embodiments, screening module 120, the module of hiving off 130, analysis module 140, and the name module can be electronic installation independently respectively, and have signal communication to each other to carry out interaction.
Fig. 2 shows the analysis of central issue method according to the embodiment of the invention.Analysis of central issue method according to the embodiment of the invention goes for an electronic installation.Like step S210, obtain present contextual information.Be noted that in certain embodiments, contextual information can be to be produced or received by an end device by electronic installation itself at present.At present contextual information can comprise temporal information, positional information, and Weather information etc.Like step S220, according to the record in the present contextual information garbled data storehouse, to obtain screening record.Similarly, each record can comprise a contextual information at least, like temporal information, positional information, and Weather information etc.
Fig. 3 shows the focus screening technique according to the embodiment of the invention.Like step S221, the present temporal information of foundation is by capturing a special period in the time model.As previously mentioned, can write down the semantic structure of corresponding time in the time model, like the definition of the time point of multi-period and corresponding each period, timely intersegmental front and back and relation of inclusion.Each time point can correspond at least one period.For instance, the 08:20 of Monday can correspond to the period of the 08:00 to 09:00 of Monday; The period of the 08:00 to 09:00 of Monday can correspond to the spike period of all a whole mornings; The spike period of all a whole mornings can correspond to the spike period in morning day of duty; The spike period of all a whole mornings also can correspond to the period of all a whole mornings; The period of all a whole mornings can correspond to the period in morning day of duty; The period of all a whole mornings also can correspond to all periods of Monday; And all periods of Monday can correspond to all periods of day of duty.What must remind is, the semantic structure of time can be adjusted according to different demands, and this case is not limited thereto.Like step S222, according to the record in the special period garbled data storehouse that captures, to obtain screening record.Wherein, the contextual information of corresponding screening record is to fall among the special period like temporal information.Like step S223, the number of judging the screening record whether less than a prearranged number (as 300 or other suitable numeral).If the number of screening record is during less than prearranged number (step S223 not), process ends.If the number of screening record is during less than prearranged number (step S223 is), like step S224, according to special period by capturing another special period in the time model.Be noted that the purpose that captures another special period is to relax the restriction of screening, in other words, the old special period of time ratio that new special period contains is long.For instance, be the 08:20 of Monday when the present time, and the special period that is captured by time model for the first time is when being period of 08:00 to 09:00 of Monday, the special period that is captured by time model for the second time can be the spike period of all a whole mornings.After another special period captured out, flow process was got back to step S222, according to the record in the special period garbled data storehouse that captures, to obtain screening record.Be noted that, in certain embodiments, can more come the record in the garbled data storehouse, to obtain screening record according to the present Weather information that is write down in the present contextual information.Then,, utilize the algorithm that hives off, come to hive off, thereby obtain at least one focus group, and be hot spot region of each focus group generation correspondence for the screening record according to current position information and the position between each screening record like step S230.
As previously mentioned, each focus group can name respectively.Fig. 4 shows the focus group/hot spot region naming method according to the embodiment of the invention.Like step S410,, find out included intersection in each focus group according to the contextual information of screening record in position module and the focus group.Similarly, the semantic structure that position model can recording geographical position, like multiple tracks road unit, like the definition of intersection, highway section, sight spot and/or terrestrial reference, and the annexation of unit road.Find out after the intersection,, find out the highway section that the intersection connects according to position module like step S420.Like step S430, be recorded in the frequency of occurrences in each highway section according to the position calculation screening of screening record.Like step S440, select the highest highway section of the frequency of occurrences of screening record, intersection, sight spot and/or terrestrial reference as the focus group and the title of hot spot region accordingly.
Please,, calculate the temperature of each focus group like step S240 again with reference to figure 2.Be noted that, in this case, temperature can comprise whole temperature, relatively temperature, with real-time temperature.Fig. 5 shows the temperature computing method according to the embodiment of the invention.Like step S241,, utilize following formula to calculate a whole temperature for each focus group respectively according to the number of screening record and the area size of each focus group in each focus group.
Wherein,
It is the whole temperature of the i of focus group; Num
iIt is the number of screening record among the i of focus group; Area
iIt is the hot spot region size of the i of focus group; T is the length of special period; η 1 is an adjustment coefficient, and it can be adjusted according to different application.
Like step S242,, utilize following formula to calculate a relative temperature for each focus group respectively according to the whole temperature of each focus group and the distance of each a focus group and an end device (current position information).
Wherein, S
I, jBe the relative temperature of the i of focus group for portable terminal j; Dist
I, jBe the zone of the i of focus group and the distance between end device j.
Like step S243,, utilize formula to calculate a real-time temperature for each focus group respectively according to the corresponding temperature relatively of number and each focus group of end device in the zone of each focus group.
Wherein, S '
I, jBe the real-time temperature of the i of focus group for end device j; Dens
iIt is the number of the interior end device in zone of the i of focus group.Number that it should be noted that the interior end device in zone of each focus group can be learnt according to the position of each end device, and the position of each end device can be learnt by the present contextual information of indivedual transmission.
As previously mentioned, the incident of corresponding each focus group and participation number thereof can also be used for calculating the temperature of each focus group.In certain embodiments, incident can be to put for building by acquisition in the network or by the people in advance.In certain embodiments, incident can be to be imported by end device, and is received by end device through communication network.Each incident can comprise the temporal information, location information of its generation, with the participation number etc.Like step S244,, utilize formula to adjust for the corresponding temperature in real time of each focus group according to the incident of corresponding each focus group.
Wherein, S "
I, jBe the real-time temperature of the adjustment after heat point i of group for end device j; Event
kIt is the participation number of incident k; ε
kIt is the error adjustment item of incident k; N is the number of incident; η
2Be an adjustment coefficient, it can be adjusted according to different application.
Incident that it should be noted that corresponding each focus group is meant that the temporal information of incident meets the special period of screening record and the positional information of incident falls among the hot spot region of focus group.
What must remind is that the embodiment of Fig. 5 is that the real-time temperature of each focus group with respect to portable terminal calculated in explanation.Yet in certain embodiments, the corresponding whole temperature of each focus group, relative temperature all can be calculated respectively with real-time temperature, to carry out subsequent applications.
After each corresponding fever thermometer of focus group calculates, like step S250, according to the temperature of each focus group, as whole temperature, relatively temperature with/or real-time temperature and corresponding hot spot region thereof, produce at least one hot spot region information.In certain embodiments, can be according to the temperature of each focus group, like whole temperature, temperature carried out rank with temperature in real time with focus group relatively, and the focus group of getting last set rank is as recommendation focus group.In certain embodiments, the title of hot spot region information and recommendation focus group can be sent to end device through communication network.Be noted that; In certain embodiments; When end device has an operation-interface or a display unit; The title and the position of hot spot region information and recommendation hot spot region information also can show in said operation-interface or display unit, and can focus group be shown with different colours according to different temperatures.
Therefore, can analyze the carrying focus through the hot spot analytic system and the method for this case, calculate the whole temperature of corresponding focus group, relatively temperature, with real-time temperature, think that taxi provides hot spot region information.
Method of the present invention, or specific kenel or its part can exist with the kenel of program code.Program code can be contained in tangible media; Like floppy disk, discs, hard disk or any other machine-readable (like embodied on computer readable) Storage Media; Also or be not limited to the computer program of external form, wherein, when program code by machine; During like computer loads and execution, this machine becomes in order to participate in device of the present invention.Program code also can pass through some transfer mediums, transmit like electric wire or cable, optical fiber or any transmission kenel, wherein, when program code by machine, when receiving, loading and carrying out like computing machine, this machine becomes in order to participate in device of the present invention.When the general service processing unit is done in fact, program code combines processing unit to provide a class of operation to be similar to the unique apparatus of using particular logic circuit.
Though the present invention discloses as above with preferred embodiment; Right its is not in order to limit the present invention; Anyly be familiar with one of ordinary skill in the art; Do not breaking away from the spirit and scope of the present invention, when can doing a little change and retouching, so protection scope of the present invention defines and is as the criterion when looking the claim scope.
Claims (28)
1. hot spot analytic system, said system comprises:
One database stores many notes records, and wherein, each record comprises a contextual information at least, and said contextual information comprises a time information and a positional information at least;
One screening module in order to according to said these records in a present contextual information and the said database, is screened and is obtained many screening records, and wherein, said present contextual information comprises a present temporal information at least;
One module of hiving off in order to hive off according to the said positional information of said these screening records, obtains at least one focus group, and be the hot spot region that each said at least one focus group produces correspondence;
One analysis module; In order to big or small with corresponding said hot spot region according to the number of these screening records described in each said at least one focus group; Produce a whole temperature for each said at least one focus group respectively; And said whole temperature and corresponding said hot spot region thereof according to each said at least one focus group provide at least one hot spot region information; And
One time model, in order to writing down the semantic structure of corresponding time,
Wherein, Said screening module is more in order to the said present temporal information according to said present contextual information; By capturing one first corresponding special period in the said time model; And screen said these records in the said database according to said first special period, to obtain said these screening records; And
Wherein, said whole temperature is the length according to the number of the screening record of each said at least one focus group, hot spot region size, special period, and an adjustment coefficient and producing.
2. hot spot analytic system as claimed in claim 1 is characterized in that said semantic structure includes the definition of the time point of a plurality of periods, corresponding each said these period, and said these the time intersegmental front and back and relation of inclusion.
3. hot spot analytic system as claimed in claim 2; It is characterized in that; Whether said screening module more comprise in order to the number of judging said these screening records less than a prearranged number, and when the number of said these screening records during less than said prearranged number, said semantic structure of foundation and said first special period capture one second special period; And screen said these records in the said database according to said second special period; To obtain said these screening records, wherein, said first special period of the time ratio that said second special period contains is long.
4. hot spot analytic system as claimed in claim 1; It is characterized in that; Said contextual information more includes a Weather information; And said present contextual information more includes a present Weather information, and said screening module comprises more that in order to the said present Weather information in the said present contextual information of foundation screening obtains said these screening records from said database.
5. hot spot analytic system as claimed in claim 1 is characterized in that, said analysis module more comprises in order to carrying out rank according to the said whole temperature of each said at least one focus group, and according to rank order at least one hot spot region information is provided.
6. hot spot analytic system as claimed in claim 1 is characterized in that, said system more comprises via a communication network and an end device and communicating, to receive from information that said end device is transmitted as said present contextual information; And, wherein
Said analysis module more comprises in order to via said communication network, said at least one hot spot region information is sent to said end device.
7. hot spot analytic system as claimed in claim 1; It is characterized in that; Said present contextual information more comprises a current position information; And the said module of hiving off more comprises in order to according to position and distance between said current position information and each said these screening record, said these screening records is hived off.
8. hot spot analytic system as claimed in claim 7 is characterized in that, said system more includes a time module and a location module, in order to present temporal information and the current position information that produces said present contextual information.
9. hot spot analytic system as claimed in claim 7; It is characterized in that; Said system more includes a mobile device; And said mobile device more includes a location module, and the positional information that can locate system communication and produce said mobile device via a communication network and is with the said current position information as said present contextual information.
10. hot spot analytic system as claimed in claim 7; It is characterized in that; Said analysis module more comprises in order to according to the said whole temperature of each said at least one focus group and the distance of each said at least one focus group and said current position information; Respectively each said at least one focus group is produced a relative temperature, and, said at least one hot spot region information is provided according to the said relative temperature of each said at least one focus group and the said hot spot region of correspondence thereof.
11. hot spot analytic system as claimed in claim 7; It is characterized in that; Said system more includes a plurality of mobile devices; And each said these mobile device more includes a corresponding location module, can and produce the positional information of each said these mobile device via a communication network and a location system communication, and the positional information of the specific mobile device in said these mobile devices is the said current position information as said present contextual information;
Wherein, Said analysis module more comprises in order to according to the said whole temperature of each said at least one focus group and the distance of each said at least one focus group and said current position information, respectively each said at least one focus group produced a relative temperature; And
Wherein, Said analysis module more comprises in order to the number according to these mobile devices described in the said relative temperature of each said at least one focus group and the corresponding said hot spot region thereof; Respectively each said at least one focus group is produced a real-time temperature; According to the said real-time temperature and the corresponding said hot spot region thereof of each said at least one focus group, said at least one hot spot region information is provided again.
12. hot spot analytic system as claimed in claim 11; It is characterized in that; Said contextual information more includes an incident and participation number thereof; And said analysis module more comprises according to institute's event and participation number thereof in the corresponding said hot spot region of each said at least one focus group, adjusts the said real-time temperature of each said at least one focus group.
13. hot spot analytic system as claimed in claim 1 is characterized in that, said system more comprises:
One position model; In order to write down the semantic structure in corresponding geographic position; Wherein said semantic structure comprises the definition of multiple tracks road unit, and the annexation of said these unit road, and said these unit road comprise wherein arbitrary of intersection, highway section, sight spot and terrestrial reference; And
One name module is in order to according to said position model, for naming pairing said hot spot region in each said at least one focus group.
14. hot spot analytic system as claimed in claim 13; It is characterized in that; Said name module more comprises in order to according at least one intersection in each pairing said hot spot region of said at least one focus group and the multichannel section that is connected thereof; Calculate the frequency of occurrences that said these screenings are recorded in each said these highway section; And select the highest said highway section, intersection, sight spot or the terrestrial reference of the said frequency of occurrences of said these screening records, think that the said hot spot region of correspondence is named.
15. an analysis of central issue method is characterized in that, is applicable to an electronic installation, said method comprises the following steps:
One database is provided, stores many notes records, wherein, each record comprises a contextual information at least, and said contextual information comprises a time information and a positional information at least;
Obtain a present contextual information, wherein, said present contextual information comprises a present temporal information at least;
According to said these records in said present contextual information and the said database, screening obtains many screening records;
Said positional information according to said these screening records is hived off, and obtains at least one focus group, and be the hot spot region that each said at least one focus group produces correspondence;
Number according to these screening records described in each said at least one focus group is big or small with corresponding said hot spot region, produces a whole temperature for each said at least one focus group respectively;
Said whole temperature and corresponding said hot spot region thereof according to each said at least one focus group provide at least one hot spot region information;
One time model is provided, in order to write down the semantic structure of corresponding time;
According to the said present temporal information and the said time model of said present contextual information, capture one first corresponding special period; And
Screen said these records in the said database according to said first special period, screen records to obtain said these,
Wherein, said whole temperature system is according to the length of the number of the screening record of each said at least one focus group, hot spot region size, special period, and one adjusts coefficient and produces.
16. analysis of central issue method as claimed in claim 15 is characterized in that said semantic structure includes the definition of the time point of a plurality of periods, corresponding each said these period, and said these the time intersegmental front and back and relation of inclusion.
17. analysis of central issue method as claimed in claim 16 is characterized in that said method more comprises the following steps:
Whether the number of judging said these screening records is less than a prearranged number;
When the number of said these screening records during, capture one second special period according to said semantic structure and said first special period less than said prearranged number; And
Screen said these records in the said database according to said second special period, screen records to obtain said these,
Wherein, said first special period of time ratio that contains of said second special period is long.
18. analysis of central issue method as claimed in claim 17; It is characterized in that; Said contextual information more includes a Weather information; And said present contextual information more includes a present Weather information, and said method comprises more that according to the said present Weather information in the said present contextual information screening obtains said these screening records from said database.
19. analysis of central issue method as claimed in claim 15 is characterized in that, said method more comprises according to the said whole temperature of each said at least one focus group carries out rank, and according to rank order at least one hot spot region information is provided.
20. analysis of central issue method as claimed in claim 15; It is characterized in that; Said method more comprises via a communication network and an end device and communicating; To receive from information that said end device is transmitted as said present contextual information: and, via said communication network, said at least one hot spot region information is sent to said end device.
21. analysis of central issue method as claimed in claim 15; It is characterized in that; Said present contextual information more comprises a current position information; And said method more comprises according to position and distance between said current position information and each said these screening record, comes said these screening records are hived off.
22. analysis of central issue method as claimed in claim 21 is characterized in that, the present temporal information of said present contextual information and current position information system are produced by a time module and a location module of said electronic installation.
23. analysis of central issue method as claimed in claim 21; It is characterized in that; Said method comprises that more a mobile device locatees system communication via a communication network with one through a location module, and the positional information that produces said mobile device is with the said current position information as said present contextual information.
24. analysis of central issue method as claimed in claim 21 is characterized in that said method more comprises the following steps:
According to the said whole temperature of each said at least one focus group and the distance of each said at least one focus group and said current position information, respectively each said at least one focus group is produced a relative temperature; And
Said relative temperature and corresponding said hot spot region thereof according to each said at least one focus group provide said at least one hot spot region information.
25. analysis of central issue method as claimed in claim 21 is characterized in that said method more comprises the following steps:
Receive the said present contextual information of the specific mobile device in a plurality of mobile devices; Wherein, Each said these mobile device includes a corresponding location module; Can and produce the positional information of each said these mobile device via a communication network and a location system communication, and the positional information of said specific mobile device system is as the said current position information of said present contextual information;
According to the said whole temperature of each said at least one focus group and the distance of each said at least one focus group and said current position information, respectively each said at least one focus group is produced a relative temperature;
According to the number of these mobile devices described in the said relative temperature of each said at least one focus group and the corresponding said hot spot region thereof, respectively each said at least one focus group is produced a real-time temperature; And
Said real-time temperature and corresponding said hot spot region thereof according to each said at least one focus group produce said at least one hot spot region information.
26. analysis of central issue method as claimed in claim 25; It is characterized in that; Said contextual information more comprises the incident of having drawn together and participation number thereof; And method step more comprises an incident and the participation number thereof that is taken place according in the corresponding hot spot region of each focus group, adjusts the real-time temperature of each focus group.
27. analysis of central issue method as claimed in claim 15 is characterized in that, more comprises the following steps:
One position model is provided; In order to write down the semantic structure in corresponding geographic position; Wherein said semantic structure comprises the definition of multiple tracks road unit, and the annexation of said these unit road, and said these unit road comprise wherein arbitrary of intersection, highway section, sight spot and terrestrial reference; And
According to said position model, for naming pairing hot spot region in each focus group.
28. analysis of central issue method as claimed in claim 27 is characterized in that, more comprises the following steps:
According at least one intersection in each pairing hot spot region of focus group and the multichannel section that is connected thereof, calculate the frequency of occurrences that said these screenings are recorded in each said these highway section; And
Select the highest said highway section, intersection, sight spot or the terrestrial reference of the said frequency of occurrences of said these screening records, think that the said hot spot region of correspondence is named.
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