CN104361117B - Urban hot taxi taking point recommendation method and system - Google Patents
Urban hot taxi taking point recommendation method and system Download PDFInfo
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- CN104361117B CN104361117B CN201410719848.XA CN201410719848A CN104361117B CN 104361117 B CN104361117 B CN 104361117B CN 201410719848 A CN201410719848 A CN 201410719848A CN 104361117 B CN104361117 B CN 104361117B
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Abstract
The application discloses a method and a system for recommending urban hot taxi taking points, wherein the method comprises the following steps: dividing a city map into a plurality of grids with the same size, acquiring a plurality of taxi taking route data within preset historical time, respectively using each taxi taking route data as target taxi taking route data, and executing the following process aiming at each target taxi taking route data: according to the target taxi taking route data, determining the number of times of taxi getting-on/off and empty driving in each unit time period all day in each grid as the target taxi taking heat of the grid, then distributing weights to the target taxi taking heat, counting the sum of all weighted target taxi taking heat of each grid, and finally recommending the urban positions corresponding to different grids to the user according to the sequence of the sum of the weighted target taxi taking heat from large to small. The scheme of the application realizes the purpose of recommending the taxi-taking hot spot to the user.
Description
Technical field
This application involves technical field of intelligent traffic, call a taxi a recommendation method more specifically to a kind of city hot topic
And system.
Background technology
Quick with economic level is improved, and people's living standard also gradually steps up.Trip of taxi is taken to have got over
Carry out more universal behavior.But in some cities in China, the difficult go off daily for increasingly having influenced people of calling a taxi.
For taxi driver, if driver do not know about regional people call a taxi custom when, it is likely that make
Into the wasting of resources of empty driving, or work of lying prone a fixed location, draw for a long time less than passenger.In addition, if user passes through
Request is sent out on online taxi taking platform line, then driver drives towards customer location by platform order.This process, it is likely that due to
Hypertelorism, causes period of reservation of number long.And after taxi is sent to a user, it is more likely that because driver does not know about
Periphery hot topic is called a taxi a little, and drives towards place farther out, causes the wasting of resources of empty driving.
The content of the invention
In view of this, call a taxi this application provides a kind of city hot topic and recommend a method and system, for solving existing skill
Art lack a kind of hot topic call a taxi suggested design the problem of.
To achieve these goals, it is proposed that scheme it is as follows：
A kind of city hot topic is called a taxi a recommendation method, including：
City map is divided into the identical grid of several sizes；
Obtain in default historical time, several track data of calling a taxi, every kind of track data of calling a taxi is included above and below taxi
Place far way from home point, time and take objective state；
Every kind of track data of calling a taxi is called a taxi track data as target, is held for each target track data of calling a taxi
The following processes of row：
Call a taxi track data according to target, by each grid, occur in each unit interval of whole day above and below taxi
The target that the number of visitor and empty wagons traveling is determined as the grid is called a taxi temperature；
Weights are distributed for each target temperature of calling a taxi, and all weighted targets for counting each grid are called a taxi the total of temperature
With；
Call a taxi the order of temperature summation from large to small according to weighted target, the different corresponding city positions of grid is recommended
To user.
Preferably, the several track data of calling a taxi includes the track data of calling a taxi by taxi-hailing software collection, is based on
The point-to-point of network map drive inquiry data and driver provide track data of calling a taxi, according to three kinds of track datas of calling a taxi
The target of definite each grid temperature of calling a taxi is respectively defined as call a taxi temperature, the second target of first object and calls a taxi temperature and the 3rd
Target is called a taxi temperature, then described to distribute weights for each target temperature of calling a taxi, including：
Determine that the call a taxi weights of temperature of first object are that the call a taxi weights of temperature of the first weights, the second target are the second power
The call a taxi weights of temperature of value, the 3rd target are the 3rd weights, and second weights are at the same time less than first weights and described the
Three weights.
Preferably, it is described to call a taxi the order of temperature summation from large to small according to weighted target, different grids is corresponding
City position recommends user, including：
Determine current time and the current position of user；
Centered on user current location, determine within the pre-determined distance of periphery, the corresponding weighted target of current time is called a taxi
Several larger grids of temperature summation, and several definite grids and corresponding target temperature summation of calling a taxi are pushed to use
Family.
Preferably, after definite weighted target calls a taxi several larger grids of temperature summation, this method further includes：
With reference to city mark information, determine corresponding in the weighted target several larger grids of temperature summation of calling a taxi
The mark building and/or road of position；
The mark building and/or road are pushed to user.
Preferably, further include：
Using the time as dimension, establish the corresponding weighted target of city difference grid and call a taxi the Thermometer of temperature summation.
A kind of city hot topic is called a taxi a commending system, including：
Map partitioning unit, for city map to be divided into the identical grid of several sizes；
Data capture unit, for obtaining in default historical time, several track data of calling a taxi, every kind of circuit number of calling a taxi
According to including taxi on-board and off-board place, time and taking objective state；
Temperature of calling a taxi determination unit, for every kind of track data of calling a taxi to be called a taxi track data as target, for
Every kind of target track data of calling a taxi performs following processes：Call a taxi track data according to target, by each grid, whole day is each single
The number that taxi on-board and off-board and empty wagons traveling occur in the period of position is determined as the target of the grid and calls a taxi temperature；
Weighting processing unit, for distributing weights for each target temperature of calling a taxi, and counts all weightings of each grid
Target is called a taxi the summation of temperature；
User's recommendation unit, for calling a taxi the order of temperature summation from large to small according to weighted target, by different grids
Corresponding city position recommends user.
Preferably, the several track data of calling a taxi includes the track data of calling a taxi by taxi-hailing software collection, is based on
The point-to-point of network map drive inquiry data and driver provide track data of calling a taxi, according to three kinds of track datas of calling a taxi
The target of definite each grid temperature of calling a taxi is respectively defined as call a taxi temperature, the second target of first object and calls a taxi temperature and the 3rd
Target is called a taxi temperature, then the weighting processing unit includes：
First weighting processing subelement, for determine first object call a taxi temperature weights for the first weights, the second target
The weights for temperature of calling a taxi are that the call a taxi weights of temperature of the second weights, the 3rd target are the 3rd weights, and second weights are small at the same time
In first weights and the 3rd weights.
Preferably, user's recommendation unit includes：
User information determination unit, for determining current time and the current position of user；
Grid recommendation unit, for centered on user current location, determining within the pre-determined distance of periphery, current time pair
The weighted target answered is called a taxi several larger grids of temperature summation, and several definite grids and corresponding target are called a taxi
Temperature summation is pushed to user.
Preferably, further include：
Road sign determination unit, for referring to city mark information, determines larger in weighted target temperature summation of calling a taxi
The corresponding position of several grids mark building and/or road；
Road sign recommendation unit, for the mark building and/or road to be pushed to user.
Preferably, further include：
Thermometer creating unit, calls a taxi heat for using the time as dimension, establishing the corresponding weighted target of city difference grid
Spend the Thermometer of summation.
A recommendation method it can be seen from the above technical scheme that city hot topic provided by the embodiments of the present application is called a taxi, will
City map is divided into the identical grid of several sizes, obtains in default historical time, several track data of calling a taxi will be every
Track data of kind calling a taxi is called a taxi track data respectively as target, and following processes are performed for each target track data of calling a taxi：
Call a taxi track data according to target, by each grid, taxi on-board and off-board and empty wagons occur in each unit interval of whole day
The target that the number of traveling is determined as the grid is called a taxi temperature, then distributes weights for each target temperature of calling a taxi, and count every
All weighted targets of a grid are called a taxi the summation of temperature, are finally called a taxi temperature summation from large to small suitable according to weighted target
Sequence, user is recommended by the different corresponding city positions of grid.The application considered difference call a taxi track data air exercise
The influence of car temperature, sets certain weighted value respectively, then considers several targets and calls a taxi hot value, according to summation by
Big extremely small order, recommends user, user can be that driver can also be the people to call a taxi here, just by the corresponding position of grid
Optimal route is selected according to oneself current location and time in user.
Brief description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of application, for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 calls a taxi for a kind of city hot topic disclosed in the embodiment of the present application recommends a method flow diagram；
Fig. 2 calls a taxi a commending system structure diagram for a kind of city hot topic disclosed in the embodiment of the present application.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, the technical solution in the embodiment of the present application is carried out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, those of ordinary skill in the art are obtained every other without making creative work
Embodiment, shall fall in the protection scope of this application.
Referring to Fig. 1, Fig. 1 calls a taxi for a kind of city hot topic disclosed in the embodiment of the present application recommends a method flow diagram.
As shown in Figure 1, this method includes：
Step S100, city map is divided into the identical grid of several sizes；
Specifically, for some city, the corresponding road network of city map is divided into the identical grid of size, can
To be the square or other region of 1 kilometer of length of side.
Step S110, obtain in default historical time, several track data of calling a taxi；
Specifically, track data of calling a taxi can be obtained by multiple channel.Every kind of track data of calling a taxi is included on taxi
Lower place far way from home point, time and take objective state.The relatively common sequence information provided generally by existing various taxi-hailing softwares,
To determine track data of calling a taxi.
Step S120, every kind of track data of calling a taxi is called a taxi track data as target, called a taxi for each target
Track data performs following definite targets and calls a taxi the process of temperature；
Specifically, call a taxi track data according to target, by each grid, hired out in each unit interval of whole day
The target that the number of car on-board and off-board and empty wagons traveling is determined as the grid is called a taxi temperature.As an example it is assumed that track data of calling a taxi
There are two kinds, by taking 12 noon as an example, the first definite information is as follows：A shared on-board and off-board three times at grid 1, therefore target
Temperature of calling a taxi is 3；One shares four on-board and off-board at grid 2, therefore target calls a taxi temperature as 4；One shares five times at grid 3
On-board and off-board, therefore target calls a taxi temperature as 5.The information that second of track data of calling a taxi determines is as follows：One shares two at grid 1
Secondary on-board and off-board, therefore target calls a taxi temperature as 2；One shares five on-board and off-board at grid 2, therefore target calls a taxi temperature as 5；
At grid 3, one shares secondary on-board and off-board, therefore target calls a taxi temperature as 2.
Step S130, weights are distributed for each target temperature of calling a taxi, and all weighted targets for counting each grid are called a taxi
The summation of temperature；
Specifically, still illustrated using above-mentioned example, it is assumed that beaten by the first target target that track data determines of calling a taxi
The weights of car temperature are 1, are 0.5 by second of target call a taxi weights of temperature of the target that track data determines of calling a taxi.Then grid 1
The call a taxi summation of temperature of all weighted targets be：1*3+0.5*2=4；All weighted targets of grid 2 are called a taxi the summation of temperature
For：1*4+0.5*5=6.5；The call a taxi summation of temperature of all weighted targets of grid 3 is：1*5+0.5*2=6.
Step S140, call a taxi the order of temperature summation from large to small according to weighted target, by the different corresponding cities of grid
Recommend user in position in city.
Specifically, still to be illustrated using above-mentioned example, temperature summation of calling a taxi to the weighted target of each grid is ranked up,
According to order from large to small, it is respectively：Grid 2, grid 3, grid 1.Therefore can be according to this order, by each grid pair
The city position answered recommends user.
City hot topic provided by the embodiments of the present application is called a taxi a recommendation method, and city map is divided into several size phases
With grid, obtain in default historical time, several track data of calling a taxi, using every kind of track data of calling a taxi as target
Call a taxi track data, following processes are performed for each target track data of calling a taxi：Call a taxi track data according to target, will be each
In grid, the number of generation taxi on-board and off-board and empty wagons traveling is determined as the target of the grid in each unit interval of whole day
Call a taxi temperature, then distribute weights for each target temperature of calling a taxi, and all weighted targets for counting each grid are called a taxi temperature
Summation, finally call a taxi the order of temperature summation from large to small according to weighted target, by the different corresponding city positions of grid
Recommend user.The application has considered different influences of the track data to temperature of calling a taxi of calling a taxi, and sets certain power respectively
Weight values, then consider several targets and call a taxi hot value, according to the order of summation from large to small, by the corresponding position of grid
User is recommended, user can be that driver can also be the people to call a taxi here, easy to user according to oneself current location and time
To select optimal route.
Optionally, it is above-mentioned it is several call a taxi track data can include by taxi-hailing software collection track data of calling a taxi,
Point-to-point based on network map drive inquiry data and driver provide track data of calling a taxi.Wherein, based on network map
Point-to-point drive that to be mainly user inquire about a certain place to the data of driving in a certain place to inquiry data by Baidu map etc..
The data have reacted the information that user calls a taxi from side door, wherein further include the data of part self-driving user certainly.
We define the target of each grid that the track data of calling a taxi collected by taxi-hailing software determines and call a taxi temperature as the
Call a taxi temperature, the target of each grid that inquiry data determine of being driven by the point-to-point based on network map of one target is called a taxi temperature
It is the 3rd for the second target target of each grid that temperature, the track data of calling a taxi that is provided by driver determine temperature of calling a taxi of calling a taxi
Target is called a taxi temperature.
On this basis, for each target call a taxi temperature distribute weights process be：
Determine that the call a taxi weights of temperature of first object are that the call a taxi weights of temperature of the first weights, the second target are the second power
The call a taxi weights of temperature of value, the 3rd target are the 3rd weights.
Wherein, it is contemplated that the second target that determines of inquiry data of driving of the point-to-point based on network map is called a taxi and deposited in temperature
In the possibility of user's self-driving travel, namely the data can not all be converted to the data of calling a taxi that user takes trip of taxi,
Therefore a less weights are distributed for the temperature of calling a taxi, during implementation, second weights can be selected to be less than described the at the same time
One weights and the 3rd weights.
It is to be understood that what is finally considered due to us is pair that each grid weighted target is called a taxi between temperature summation
Than magnitude relationship, and not absolute terms, as long as therefore the weights that set can embody between size difference, differ fixed limit
The absolute size value of weights processed.Such as first weights and the 3rd weights can be 1,2,3 etc., as long as ensureing that the second weights are less than
First and the 3rd weights.
Further, it is above-mentioned to call a taxi the order of temperature summation from large to small according to weighted target, different grids is corresponding
City position recommends user, including：
Determine current time and the current position of user；
Centered on user current location, determine within the pre-determined distance of periphery, the corresponding weighted target of current time is called a taxi
Several larger grids of temperature summation, and several definite grids and corresponding target temperature summation of calling a taxi are pushed to use
Family.
Since the period in one day is different, hot zones are called a taxi in city can be with changing.It is thus necessary to determine that work as
The preceding time, further can push position to user.Here, user can be that driver can also be taxi hitcher, if department
Machine, the request for the indicating self position that can be sent by receiving driver, then centered on foundation driver current location, determines week
Within the pre-determined distance of side, the corresponding weighted target of current time is called a taxi several larger grids of temperature summation.Here it is possible to it is
Weighted target is called a taxi maximum one of temperature summation, or several.Then the corresponding city position of the grid is pushed to user,
Temperature summation that the corresponding weighted target of the grid can also be called a taxi at the same time recommends user, so that user is referred to.
Further, the grid position of recommendation is quickly navigated in order to facilitate user, the present processes can be with
Including：
With reference to city mark information, determine corresponding in the weighted target several larger grids of temperature summation of calling a taxi
The mark building and/or road of position；
The mark building and/or road are pushed to user.
Here, city mark information refers to road, the title in street, each landmark title etc..Therefore, exist
After grid position is determined, the corresponding mark building of grid position and/or road can be pushed to user, more convenient user
Positioning.
And in view of some grid positions, there is no mark building and road, it may be considered that centered on the grid position,
Need to look for around and indicate building and road, after it need to find mark building and road, built using the mark with road as reference point,
Inform user network case setting in mark building and the specific orientation and distance of road.
Certainly, in addition to calling a taxi hotspot location to user's recommendation, the application can also establish city using the time as dimension
The corresponding weighted target of different grids is called a taxi the Thermometer of temperature summation.In the Thermometer, different time sections, city are embodied
Road network difference grid and weighted target are called a taxi the correspondence of temperature summation.City intelligent can be instructed to hand over by this Thermometer
Logical planning.
A commending system of calling a taxi below to city hot topic provided by the embodiments of the present application is described, city described below
A hot topic commending system and above-described city hot topic a recommendation method of calling a taxi of calling a taxi can correspond reference.
Referring to Fig. 2, Fig. 2 calls a taxi a commending system structure diagram for a kind of city hot topic disclosed in the embodiment of the present application.
As shown in Fig. 2, the system includes：
Map partitioning unit 21, for city map to be divided into the identical grid of several sizes；
Data capture unit 22, for obtaining in default historical time, several track data of calling a taxi, every kind of circuit of calling a taxi
Data packet includes on-board and off-board place of hiring a car, time and takes objective state；
Temperature of calling a taxi determination unit 23, for every kind of track data of calling a taxi to be called a taxi track data as target, pin
Track data of calling a taxi to every kind of target performs following processes：Call a taxi track data according to target, by each grid, whole day is each
The number that taxi on-board and off-board and empty wagons traveling occur in unit interval is determined as the target of the grid and calls a taxi temperature；
Weighting processing unit 24, for distributing weights for each target temperature of calling a taxi, and count each grid all plus
Power target is called a taxi the summation of temperature；
User's recommendation unit 25, for calling a taxi the order of temperature summation from large to small according to weighted target, by different nets
The corresponding city position of lattice recommends user.
Optionally, the several track data of calling a taxi includes the track data of calling a taxi by taxi-hailing software collection, is based on
The point-to-point of network map drive inquiry data and driver provide track data of calling a taxi, according to three kinds of track datas of calling a taxi
The target of definite each grid temperature of calling a taxi is respectively defined as call a taxi temperature, the second target of first object and calls a taxi temperature and the 3rd
Target is called a taxi temperature, then the weighting processing unit 24 includes：
First weighting processing subelement, for determine first object call a taxi temperature weights for the first weights, the second target
The weights for temperature of calling a taxi are that the call a taxi weights of temperature of the second weights, the 3rd target are the 3rd weights, and second weights are small at the same time
In first weights and the 3rd weights.
Optionally, user's recommendation unit 25 includes：
User information determination unit, for determining current time and the current position of user；
Grid recommendation unit, for centered on user current location, determining within the pre-determined distance of periphery, current time pair
The weighted target answered is called a taxi several larger grids of temperature summation, and several definite grids and corresponding target are called a taxi
Temperature summation is pushed to user.
Optionally, said system disclosed in the present application can also include：
Road sign determination unit, for referring to city mark information, determines larger in weighted target temperature summation of calling a taxi
The corresponding position of several grids mark building and/or road；
Road sign recommendation unit, for the mark building and/or road to be pushed to user.
Further, the application said system can also include：
Thermometer creating unit, calls a taxi heat for using the time as dimension, establishing the corresponding weighted target of city difference grid
Spend the Thermometer of summation.
City hot topic provided by the embodiments of the present application is called a taxi a commending system, and city map is divided into several size phases
With grid, obtain in default historical time, several track data of calling a taxi, using every kind of track data of calling a taxi as target
Call a taxi track data, following processes are performed for each target track data of calling a taxi：Call a taxi track data according to target, will be each
In grid, the number of generation taxi on-board and off-board and empty wagons traveling is determined as the target of the grid in each unit interval of whole day
Call a taxi temperature, then distribute weights for each target temperature of calling a taxi, and all weighted targets for counting each grid are called a taxi temperature
Summation, finally call a taxi the order of temperature summation from large to small according to weighted target, by the different corresponding city positions of grid
Recommend user.The application has considered different influences of the track data to temperature of calling a taxi of calling a taxi, and sets certain power respectively
Weight values, then consider several targets and call a taxi hot value, according to the order of summation from large to small, by the corresponding position of grid
User is recommended, user can be that driver can also be the people to call a taxi here, easy to user according to oneself current location and time
To select optimal route.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or order.Moreover, term " comprising ", "comprising" or its any other variant meaning
Covering non-exclusive inclusion, so that process, method, article or equipment including a series of elements not only include that
A little key elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged
Except also there are other identical element in the process, method, article or apparatus that includes the element.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the application.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one
The most wide scope caused.
Claims (10)
- An a kind of recommendation method 1. city hot topic is called a taxi, it is characterised in that including：City map is divided into the identical grid of several sizes；Obtain in default historical time, several track data of calling a taxi, every kind of track data of calling a taxi includes taxi place far way from home up and down Point, time and take objective state；Every kind of track data of calling a taxi is called a taxi track data as target, is called a taxi for each target under track data performs State process：Call a taxi track data according to target, will occur in each grid, in each unit interval of whole day taxi on-board and off-board and The target that the number of empty wagons traveling is determined as the grid is called a taxi temperature；Weights are distributed for each target temperature of calling a taxi, and all weighted targets for counting each grid are called a taxi the summation of temperature；Call a taxi the order of temperature summation from large to small according to weighted target, the different corresponding city positions of grid is recommended into use Family.
- 2. according to the method described in claim 1, it is characterized in that, the several track data of calling a taxi is including soft by calling a taxi Part collect track data of calling a taxi, the point-to-point based on network map drive inquiry data and driver provide circuit number of calling a taxi It is respectively defined as first object according to the target of, each grid determined according to three kinds of track datas of calling a taxi temperature of calling a taxi and calls a taxi heat Temperature that degree, the second target call a taxi temperature and the 3rd target is called a taxi, then it is described to distribute weights for each target temperature of calling a taxi, including：Determine that the call a taxi weights of temperature of first object are that the call a taxi weights of temperature of the first weights, the second target are the second weights, The call a taxi weights of temperature of three targets are the 3rd weights, and second weights are at the same time less than first weights and the 3rd power Value.
- 3. according to the method described in claim 2, it is characterized in that, described call a taxi temperature summation from large to small according to weighted target Order, the different corresponding city positions of grid is recommended into user, including：Determine current time and the current position of user；Centered on user current location, determine within the pre-determined distance of periphery, the corresponding weighted target of current time is called a taxi temperature Several larger grids of summation, and several definite grids and corresponding target temperature summation of calling a taxi are pushed to user.
- 4. according to the method described in claim 3, it is characterized in that, determining that weighted target calls a taxi larger some of temperature summation After a grid, this method further includes：With reference to city mark information, determine to call a taxi the larger corresponding position of several grids of temperature summation in the weighted target Mark building and/or road；The mark building and/or road are pushed to user.
- 5. according to the method described in claim 1, it is characterized in that, further include：Using the time as dimension, establish the corresponding weighted target of city difference grid and call a taxi the Thermometer of temperature summation.
- A commending system 6. a kind of city hot topic is called a taxi, it is characterised in that including：Map partitioning unit, for city map to be divided into the identical grid of several sizes；Data capture unit, for obtaining in default historical time, several track data of calling a taxi, every kind of track data bag of calling a taxi Include on-board and off-board place of hiring a car, time and take objective state；Temperature of calling a taxi determination unit, for every kind of track data of calling a taxi to be called a taxi track data as target, for every kind of Target track data of calling a taxi performs following processes：Call a taxi track data according to target, by each grid, during each unit of whole day Between the number of taxi on-board and off-board and empty wagons traveling occurs in section be determined as the target of the grid and call a taxi temperature；Weighting processing unit, for distributing weights for each target temperature of calling a taxi, and counts all weighted targets of each grid The summation for temperature of calling a taxi；User's recommendation unit, for calling a taxi the order of temperature summation from large to small according to weighted target, different grids is corresponded to City position recommend user.
- 7. system according to claim 6, it is characterised in that the several track data of calling a taxi includes soft by calling a taxi Part collect track data of calling a taxi, the point-to-point based on network map drive inquiry data and driver provide circuit number of calling a taxi It is respectively defined as first object according to the target of, each grid determined according to three kinds of track datas of calling a taxi temperature of calling a taxi and calls a taxi heat Temperature that degree, the second target call a taxi temperature and the 3rd target is called a taxi, then the weighting processing unit include：First weighting processing subelement, for determining that the call a taxi weights of temperature of first object are called a taxi for the first weights, the second target The weights of temperature are that the call a taxi weights of temperature of the second weights, the 3rd target are the 3rd weights, and second weights are less than institute at the same time State the first weights and the 3rd weights.
- 8. system according to claim 7, it is characterised in that user's recommendation unit includes：User information determination unit, for determining current time and the current position of user；Grid recommendation unit, for centered on user current location, determining within the pre-determined distance of periphery, current time is corresponding Weighted target is called a taxi several larger grids of temperature summation, and several definite grids and corresponding target are called a taxi temperature Summation is pushed to user.
- 9. system according to claim 8, it is characterised in that further include：Road sign determination unit, for referring to city mark information, if determining larger in weighted target temperature summation of calling a taxi The mark building and/or road of the dry corresponding position of grid；Road sign recommendation unit, for the mark building and/or road to be pushed to user.
- 10. system according to claim 6, it is characterised in that further include：Thermometer creating unit, it is total for using the time as dimension, establishing the corresponding weighted target of city difference grid temperature of calling a taxi The Thermometer of sum.
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