CN104361117A - Method and system for recommending urban hot taxi-taking points - Google Patents
Method and system for recommending urban hot taxi-taking points Download PDFInfo
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- CN104361117A CN104361117A CN201410719848.XA CN201410719848A CN104361117A CN 104361117 A CN104361117 A CN 104361117A CN 201410719848 A CN201410719848 A CN 201410719848A CN 104361117 A CN104361117 A CN 104361117A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses a method and a system for recommending urban hot taxi-taking points. The method comprises the following steps: partitioning an urban map into a plurality of grids of the same sizes, acquiring a plurality of types of taxi-taking route data within preset history time, and executing the following process specific to each target taxi-taking route datum by taking each taxi-taking route datum as a target taxi-taking route datum respectively: according to the target taxi-taking route datum, determining the taxi get-on and get-off and empty run times within each unit time interval all day long as the target taxi-taking frequency of each grid in each grid; allocating a weight for each target taxi-taking frequency, and counting the sum of all weighted target taxi-taking frequencies of each grid; recommending urban locations which correspond to different grids from large to small sums of weighted target taxi-taking frequencies. According to the scheme, the aim of recommending the hot taxi-taking points to a user is fulfilled.
Description
Technical field
The application relates to technical field of intelligent traffic, more particularly, relates to a kind of city hot topic and to call a taxi a recommend method and system.
Background technology
Along with the quick raising of economic level, people's living standard also improves gradually.Taking trip of taxi has been more and more general behavior.But in some city of China, difficulty of calling a taxi more and more has had influence on the go off daily of people.
For taxi driver, if driver do not understand regional people call a taxi custom time, probably cause the wasting of resources that sky is sailed, or work of lying prone a fixed location, draw for a long time less than passenger.In addition, if user is by request sent out by online taxi taking platform line, driver, by platform order, then drives towards customer location.This process, probably due to hypertelorism, causes period of reservation of number long.And after a user sent to by taxi, very possible because driver does not understand periphery hot topic and calls a taxi a little, and drive towards place far away, cause the wasting of resources that sky is sailed.
Summary of the invention
In view of this, this application provides a kind of city hot topic and to call a taxi a recommend method and system, lack a kind of hot topic to call a taxi the problem of a suggested design for solving prior art.
To achieve these goals, the existing scheme proposed is as follows:
A kind of city hot topic is called a taxi a recommend method, comprising:
City map is divided into the grid that several sizes are identical;
Obtain and preset in historical time, several track data of calling a taxi, often kind of track data of calling a taxi comprises taxi on-board and off-board place, time and takes objective state;
Track data of calling a taxi often kind to be called a taxi track data as target, performs following process for each target track data of calling a taxi:
To call a taxi track data according to target, by each grid, target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid occurs in each unit interval section of whole day and to call a taxi temperature;
For each target call a taxi temperature distribute weights, the summation of temperature and all weighted target adding up each grid are called a taxi;
To call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids is recommended user.
Preferably, the track data of calling a taxi that described several track data of calling a taxi comprises the track data of calling a taxi collected by software of calling a taxi, the point-to-point of map Network Based drives data query and driver provides, the target of each grid determined according to these three kinds of track datas of calling a taxi temperature of calling a taxi is defined as first object call a taxi temperature and the 3rd target of temperature, the second target of calling a taxi respectively and calls a taxi temperature, then describedly to call a taxi temperature distribution weights for each target, comprising:
Determine that first object weights that the weights that the weights of temperature are the first weights, the second target calls a taxi temperature are the second weights, the 3rd target calls a taxi temperature of calling a taxi are the 3rd weights, described second weights are less than described first weights and described 3rd weights simultaneously.
Preferably, describedly to call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids recommended user, comprising:
Determine current time and the current position of user;
Centered by user's current location, determine within periphery predeterminable range, weighted target corresponding to current time is called a taxi larger several grids of temperature summation, and temperature summation of the target of several grids determined and correspondence being called a taxi is pushed to user.
Preferably, determining that weighted target is called a taxi after larger several grids of temperature summation, the method also comprises:
With reference to city mark information, determine to call a taxi the mark building of position corresponding to larger several grids of temperature summation and/or road at described weighted target;
Described mark building and/or road are pushed to user.
Preferably, also comprise:
Be dimension with time, set up weighted target corresponding to the different grid in city and to call a taxi the Thermometer of temperature summation.
A kind of city hot topic is called a taxi a commending system, comprising:
Map partitioning unit, for being divided into the identical grid of several sizes by city map;
Data capture unit, for obtaining in default historical time, several track data of calling a taxi, often kind of track data of calling a taxi comprises taxi on-board and off-board place, time and takes objective state;
Temperature of calling a taxi determining unit, for calling a taxi often kind, track data to be called a taxi track data as target, following process is performed: to call a taxi track data according to target for often kind of target track data of calling a taxi, by in each grid, there is target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid in each unit interval section of whole day and to call a taxi temperature;
Weighting processing unit, for calling a taxi for each target, temperature distributes weights, the summation of temperature and all weighted target adding up each grid are called a taxi;
User's recommendation unit, for temperature summation order from large to small of calling a taxi according to weighted target, recommends user by city position corresponding for different grids.
Preferably, the track data of calling a taxi that described several track data of calling a taxi comprises the track data of calling a taxi collected by software of calling a taxi, the point-to-point of map Network Based drives data query and driver provides, the target of each grid determined according to these three kinds of track datas of calling a taxi temperature of calling a taxi is defined as first object call a taxi temperature and the 3rd target of temperature, the second target of calling a taxi respectively and calls a taxi temperature, then described weighting processing unit comprises:
First weighting process subelement, for determining that first object weights that the weights that the weights of temperature are the first weights, the second target calls a taxi temperature are the second weights, the 3rd target calls a taxi temperature of calling a taxi are the 3rd weights, described second weights are less than described first weights and described 3rd weights simultaneously.
Preferably, described user's recommendation unit comprises:
User profile determining unit, for determining current time and the current position of user;
Grid recommendation unit, for centered by user's current location, determine within periphery predeterminable range, weighted target corresponding to current time is called a taxi larger several grids of temperature summation, and temperature summation of the target of several grids determined and correspondence being called a taxi is pushed to user.
Preferably, also comprise:
Road sign determining unit, for reference to city mark information, determines to call a taxi the mark building of position corresponding to larger several grids of temperature summation and/or road at described weighted target;
Road sign recommendation unit, for being pushed to user by described mark building and/or road.
Preferably, also comprise:
Thermometer creating unit, for being dimension with time, setting up weighted target corresponding to the different grid in city and to call a taxi the Thermometer of temperature summation.
As can be seen from above-mentioned technical scheme, the city hot topic that the embodiment of the present application provides is called a taxi a recommend method, city map is divided into the grid that several sizes are identical, obtain and preset in historical time, several track data of calling a taxi, track data of calling a taxi often kind to be called a taxi track data as target, following process is performed: to call a taxi track data according to target for each target track data of calling a taxi, by in each grid, there is target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid in each unit interval section of whole day to call a taxi temperature, then for each target call a taxi temperature distribute weights, the summation of temperature and all weighted target adding up each grid are called a taxi, finally to call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids is recommended user.The application has considered the different impact of track data on temperature of calling a taxi of calling a taxi, certain weighted value is set respectively, then consider several targets to call a taxi hot value, according to summation order from large to small, user is recommended in position corresponding for grid, here user can be driver can be also the people called a taxi, and is convenient to user and selects optimal route according to oneself current location and time.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only the embodiment of the application, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 a kind of city hot topic disclosed in the embodiment of the present application is called a taxi a recommend method process flow diagram;
Fig. 2 a kind of city hot topic disclosed in the embodiment of the present application is called a taxi a commending system structural representation.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, be clearly and completely described the technical scheme in the embodiment of the present application, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the application's protection.
To call a taxi a recommend method process flow diagram see Fig. 1, Fig. 1 a kind of city hot topic disclosed in the embodiment of the present application.
As shown in Figure 1, the method comprises:
Step S100, city map is divided into the identical grid of several sizes;
Particularly, for some cities, road network corresponding for city map being divided into the identical grid of size, can be square or other region of 1 kilometer of length of side.
Step S110, acquisition are preset in historical time, several track data of calling a taxi;
Particularly, track data of calling a taxi can be obtained by multiple channel.Often kind of track data of calling a taxi comprises taxi on-board and off-board place, time and takes objective state.More common is generally the sequence information provided by existing various software of calling a taxi, and determines track data of calling a taxi.
Step S120, track data of calling a taxi often kind to be called a taxi track data as target, perform followingly determine that target is called a taxi the process of temperature for each target track data of calling a taxi;
Particularly, to call a taxi track data according to target, by each grid, target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid occurs in each unit interval section of whole day and to call a taxi temperature.For example, track data of supposing to call a taxi has two kinds, and for 12 noon, the first information determined is as follows: have three on-board and off-board at grid 1 place one, and therefore target temperature of calling a taxi is 3; Have four on-board and off-board at grid 2 place one, therefore target temperature of calling a taxi is 4; Have five on-board and off-board at grid 3 place one, therefore target temperature of calling a taxi is 5.The second information that track data determines of calling a taxi is as follows: have twice on-board and off-board at grid 1 place one, and therefore target temperature of calling a taxi is 2; Have five on-board and off-board at grid 2 place one, therefore target temperature of calling a taxi is 5; At grid 3 place, total secondary on-board and off-board, therefore target temperature of calling a taxi is 2.
Step S130, temperature of calling a taxi for each target distribute weights, the summation of temperature and all weighted target adding up each grid are called a taxi;
Particularly, still using above-mentioned example to illustrate, suppose that by the first target call a taxi weights of temperature of target that track data determines of calling a taxi be 1, is 0.5 by the second target call a taxi weights of temperature of target that track data determines of calling a taxi.Then the call a taxi summation of temperature of all weighted target of grid 1 is: 1*3+0.5*2=4; The call a taxi summation of temperature of all weighted target of grid 2 is: 1*4+0.5*5=6.5; The call a taxi summation of temperature of all weighted target of grid 3 is: 1*5+0.5*2=6.
Step S140, temperature summation order from large to small of calling a taxi according to weighted target, recommend user by city position corresponding for different grids.
Particularly, still use above-mentioned example to illustrate, the weighted target of each grid temperature summation of calling a taxi is sorted, according to order from large to small, is respectively: grid 2, grid 3, grid 1.Therefore according to this order, city position corresponding for each grid can be recommended user.
The city hot topic that the embodiment of the present application provides is called a taxi a recommend method, city map is divided into the grid that several sizes are identical, obtain and preset in historical time, several track data of calling a taxi, track data of calling a taxi often kind to be called a taxi track data as target, following process is performed: to call a taxi track data according to target for each target track data of calling a taxi, by in each grid, there is target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid in each unit interval section of whole day to call a taxi temperature, then for each target call a taxi temperature distribute weights, the summation of temperature and all weighted target adding up each grid are called a taxi, finally to call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids is recommended user.The application has considered the different impact of track data on temperature of calling a taxi of calling a taxi, certain weighted value is set respectively, then consider several targets to call a taxi hot value, according to summation order from large to small, user is recommended in position corresponding for grid, here user can be driver can be also the people called a taxi, and is convenient to user and selects optimal route according to oneself current location and time.
Optionally, the track data of calling a taxi that above-mentioned several track data of calling a taxi can comprise the track data of calling a taxi collected by software of calling a taxi, the point-to-point of map Network Based drives data query and driver provides.Wherein, the point-to-point of map Network Based drive data query mainly user by the drive data of a certain place of the inquiry such as Baidu's map to a certain place.These data have reacted from side door the information that user calls a taxi, and certainly wherein also comprise the data of part self-driving user.
The target of each grid that the track data of calling a taxi that our definition is collected by software of calling a taxi is determined call a taxi temperature for first object call a taxi the target of each grid that temperature, data query of being driven by the point-to-point of map Network Based determine call a taxi temperature for the second target target of each grid that temperature, the track data of calling a taxi that provided by driver determine temperature of calling a taxi of calling a taxi be that the 3rd target is called a taxi temperature.
On this basis, for each target temperature of calling a taxi is distributed the process of weights and is:
Determine that first object weights that the weights that the weights of temperature are the first weights, the second target calls a taxi temperature are the second weights, the 3rd target calls a taxi temperature of calling a taxi are the 3rd weights.
Wherein, consider that second target of driving the point-to-point of map Network Based data query determining is called a taxi and be there is the possibility of user's self-driving travel in temperature, also namely these data all can not be converted to the data of calling a taxi that user takes trip of taxi, therefore for this temperature of calling a taxi distributes less weights, during enforcement, described second weights can be selected to be less than described first weights and described 3rd weights simultaneously.
It should be explained that, due to the contrast magnitude relationship that our final it is considered that each grid weighted target is called a taxi between temperature summation, and not absolute terms, as long as the weights therefore arranged can embody between size distinguish, not necessarily limit the absolute size value of weights.Such as the first weights and the 3rd weights can be 1,2,3 etc., as long as ensure that the second weights are less than first and the 3rd weights.
Further, above-mentionedly to call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids recommended user, comprising:
Determine current time and the current position of user;
Centered by user's current location, determine within periphery predeterminable range, weighted target corresponding to current time is called a taxi larger several grids of temperature summation, and temperature summation of the target of several grids determined and correspondence being called a taxi is pushed to user.
Because the time period in one day is different, hot zones is called a taxi in city can along with changing.Therefore, need to determine current time, position can be pushed to user further.Here, user can be driver also can be the people that calls a taxi, if driver, can by receiving the request of the indicating self position that driver sends, then according to centered by driver's current location, determine within periphery predeterminable range, weighted target corresponding to current time is called a taxi larger several grids of temperature summation.Here, can be that weighted target is called a taxi maximum one of temperature summation, or several.Then city position corresponding for this grid is pushed to user, temperature summation of simultaneously weighted target corresponding for this grid can also being called a taxi recommends user, carries out reference for user.
Further, conveniently user navigates to the grid position of recommendation fast, and the method for the application can also comprise:
With reference to city mark information, determine to call a taxi the mark building of position corresponding to larger several grids of temperature summation and/or road at described weighted target;
Described mark building and/or road are pushed to user.
Here, city mark information refers to the title in road, street, each landmark title etc.Therefore, after determining grid position, mark corresponding for grid position building and/or road can be pushed to user, convenient user location.
And consider that some grid position does not exist mark building and road, can consider centered by this grid position, mark building and road need be looked for surrounding, after need finding mark building and road, with this mark building and road for reference point, inform that user network case is built setting in this mark and the concrete orientation of road and distance.
Certainly, except recommending to call a taxi except hotspot location to user, the application can also be dimension with time, sets up weighted target corresponding to the different grid in city and to call a taxi the Thermometer of temperature summation.In this Thermometer, embody different time sections, the different grid of city road network and weighted target are called a taxi the corresponding relation of temperature summation.The planning of municipal intelligent traffic can be instructed by this Thermometer.
The city hot topic provided a embodiment of the present application below commending system of calling a taxi is described, city described below hot topic call a taxi a commending system call a taxi a recommend method with above-described city hot topic can mutual corresponding reference.
To call a taxi a commending system structural representation see Fig. 2, Fig. 2 a kind of city hot topic disclosed in the embodiment of the present application.
As shown in Figure 2, this system comprises:
Map partitioning unit 21, for being divided into the identical grid of several sizes by city map;
Data capture unit 22, for obtaining in default historical time, several track data of calling a taxi, often kind of track data of calling a taxi comprises taxi on-board and off-board place, time and takes objective state;
Temperature of calling a taxi determining unit 23, for calling a taxi often kind, track data to be called a taxi track data as target, following process is performed: to call a taxi track data according to target for often kind of target track data of calling a taxi, by in each grid, there is target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid in each unit interval section of whole day and to call a taxi temperature;
Weighting processing unit 24, for calling a taxi for each target, temperature distributes weights, the summation of temperature and all weighted target adding up each grid are called a taxi;
User's recommendation unit 25, for temperature summation order from large to small of calling a taxi according to weighted target, recommends user by city position corresponding for different grids.
Optionally, the track data of calling a taxi that described several track data of calling a taxi comprises the track data of calling a taxi collected by software of calling a taxi, the point-to-point of map Network Based drives data query and driver provides, the target of each grid determined according to these three kinds of track datas of calling a taxi temperature of calling a taxi is defined as first object call a taxi temperature and the 3rd target of temperature, the second target of calling a taxi respectively and calls a taxi temperature, then described weighting processing unit 24 comprises:
First weighting process subelement, for determining that first object weights that the weights that the weights of temperature are the first weights, the second target calls a taxi temperature are the second weights, the 3rd target calls a taxi temperature of calling a taxi are the 3rd weights, described second weights are less than described first weights and described 3rd weights simultaneously.
Optionally, described user's recommendation unit 25 comprises:
User profile determining unit, for determining current time and the current position of user;
Grid recommendation unit, for centered by user's current location, determine within periphery predeterminable range, weighted target corresponding to current time is called a taxi larger several grids of temperature summation, and temperature summation of the target of several grids determined and correspondence being called a taxi is pushed to user.
Optionally, said system disclosed in the present application can also comprise:
Road sign determining unit, for reference to city mark information, determines to call a taxi the mark building of position corresponding to larger several grids of temperature summation and/or road at described weighted target;
Road sign recommendation unit, for being pushed to user by described mark building and/or road.
Further, the application's said system can also comprise:
Thermometer creating unit, for being dimension with time, setting up weighted target corresponding to the different grid in city and to call a taxi the Thermometer of temperature summation.
The city hot topic that the embodiment of the present application provides is called a taxi a commending system, city map is divided into the grid that several sizes are identical, obtain and preset in historical time, several track data of calling a taxi, track data of calling a taxi often kind to be called a taxi track data as target, following process is performed: to call a taxi track data according to target for each target track data of calling a taxi, by in each grid, there is target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid in each unit interval section of whole day to call a taxi temperature, then for each target call a taxi temperature distribute weights, the summation of temperature and all weighted target adding up each grid are called a taxi, finally to call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids is recommended user.The application has considered the different impact of track data on temperature of calling a taxi of calling a taxi, certain weighted value is set respectively, then consider several targets to call a taxi hot value, according to summation order from large to small, user is recommended in position corresponding for grid, here user can be driver can be also the people called a taxi, and is convenient to user and selects optimal route according to oneself current location and time.
Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the application.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein when not departing from the spirit or scope of the application, can realize in other embodiments.Therefore, the application can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. city hot topic is called a taxi a recommend method, it is characterized in that, comprising:
City map is divided into the grid that several sizes are identical;
Obtain and preset in historical time, several track data of calling a taxi, often kind of track data of calling a taxi comprises taxi on-board and off-board place, time and takes objective state;
Track data of calling a taxi often kind to be called a taxi track data as target, performs following process for each target track data of calling a taxi:
To call a taxi track data according to target, by each grid, target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid occurs in each unit interval section of whole day and to call a taxi temperature;
For each target call a taxi temperature distribute weights, the summation of temperature and all weighted target adding up each grid are called a taxi;
To call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids is recommended user.
2. method according to claim 1, it is characterized in that, the track data of calling a taxi that described several track data of calling a taxi comprises the track data of calling a taxi collected by software of calling a taxi, the point-to-point of map Network Based drives data query and driver provides, the target of each grid determined according to these three kinds of track datas of calling a taxi temperature of calling a taxi is defined as first object call a taxi temperature and the 3rd target of temperature, the second target of calling a taxi respectively and calls a taxi temperature, then describedly to call a taxi temperature distribution weights for each target, comprising:
Determine that first object weights that the weights that the weights of temperature are the first weights, the second target calls a taxi temperature are the second weights, the 3rd target calls a taxi temperature of calling a taxi are the 3rd weights, described second weights are less than described first weights and described 3rd weights simultaneously.
3. method according to claim 2, is characterized in that, describedly to call a taxi temperature summation order from large to small according to weighted target, city position corresponding for different grids is recommended user, comprising:
Determine current time and the current position of user;
Centered by user's current location, determine within periphery predeterminable range, weighted target corresponding to current time is called a taxi larger several grids of temperature summation, and temperature summation of the target of several grids determined and correspondence being called a taxi is pushed to user.
4. method according to claim 3, is characterized in that, determining that weighted target is called a taxi after larger several grids of temperature summation, the method also comprises:
With reference to city mark information, determine to call a taxi the mark building of position corresponding to larger several grids of temperature summation and/or road at described weighted target;
Described mark building and/or road are pushed to user.
5. method according to claim 1, is characterized in that, also comprises:
Be dimension with time, set up weighted target corresponding to the different grid in city and to call a taxi the Thermometer of temperature summation.
6. city hot topic is called a taxi a commending system, it is characterized in that, comprising:
Map partitioning unit, for being divided into the identical grid of several sizes by city map;
Data capture unit, for obtaining in default historical time, several track data of calling a taxi, often kind of track data of calling a taxi comprises taxi on-board and off-board place, time and takes objective state;
Temperature of calling a taxi determining unit, for calling a taxi often kind, track data to be called a taxi track data as target, following process is performed: to call a taxi track data according to target for often kind of target track data of calling a taxi, by in each grid, there is target that number of times that taxi on-board and off-board and empty wagons travel is defined as this grid in each unit interval section of whole day and to call a taxi temperature;
Weighting processing unit, for calling a taxi for each target, temperature distributes weights, the summation of temperature and all weighted target adding up each grid are called a taxi;
User's recommendation unit, for temperature summation order from large to small of calling a taxi according to weighted target, recommends user by city position corresponding for different grids.
7. system according to claim 6, it is characterized in that, the track data of calling a taxi that described several track data of calling a taxi comprises the track data of calling a taxi collected by software of calling a taxi, the point-to-point of map Network Based drives data query and driver provides, the target of each grid determined according to these three kinds of track datas of calling a taxi temperature of calling a taxi is defined as first object call a taxi temperature and the 3rd target of temperature, the second target of calling a taxi respectively and calls a taxi temperature, then described weighting processing unit comprises:
First weighting process subelement, for determining that first object weights that the weights that the weights of temperature are the first weights, the second target calls a taxi temperature are the second weights, the 3rd target calls a taxi temperature of calling a taxi are the 3rd weights, described second weights are less than described first weights and described 3rd weights simultaneously.
8. system according to claim 7, is characterized in that, described user's recommendation unit comprises:
User profile determining unit, for determining current time and the current position of user;
Grid recommendation unit, for centered by user's current location, determine within periphery predeterminable range, weighted target corresponding to current time is called a taxi larger several grids of temperature summation, and temperature summation of the target of several grids determined and correspondence being called a taxi is pushed to user.
9. system according to claim 8, is characterized in that, also comprises:
Road sign determining unit, for reference to city mark information, determines to call a taxi the mark building of position corresponding to larger several grids of temperature summation and/or road at described weighted target;
Road sign recommendation unit, for being pushed to user by described mark building and/or road.
10. system according to claim 6, is characterized in that, also comprises:
Thermometer creating unit, for being dimension with time, setting up weighted target corresponding to the different grid in city and to call a taxi the Thermometer of temperature summation.
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Cited By (20)
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| CN105139638A (en) * | 2015-07-27 | 2015-12-09 | 福建工程学院 | Taxi passenger carrying site selection method and system |
| CN111831774A (en) * | 2015-08-20 | 2020-10-27 | 北京嘀嘀无限科技发展有限公司 | Method and device for determining position |
| CN106023131B (en) * | 2015-08-28 | 2019-05-14 | 千寻位置网络有限公司 | Cartographic information analysis method and its device |
| CN106023131A (en) * | 2015-08-28 | 2016-10-12 | 千寻位置网络有限公司 | Cartographic information analysis method and device |
| CN105185116A (en) * | 2015-09-15 | 2015-12-23 | 广州地理研究所 | Construction method of network-intensive type mini-passenger car travel demand thermodynamic diagram |
| CN105185116B (en) * | 2015-09-15 | 2017-08-11 | 广州地理研究所 | The intensive minibus trip requirements thermodynamic chart construction method of network |
| CN105677804A (en) * | 2015-12-31 | 2016-06-15 | 百度在线网络技术（北京）有限公司 | Determination of authority stations and building method and device of authority station database |
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| CN107633680A (en) * | 2016-07-12 | 2018-01-26 | 阿里巴巴集团控股有限公司 | Acquisition methods, device, equipment and the system of trip data |
| CN106295821A (en) * | 2016-08-12 | 2017-01-04 | 北京东方车云信息技术有限公司 | One orders car method and system |
| CN107800750A (en) * | 2016-09-07 | 2018-03-13 | 北京嘀嘀无限科技发展有限公司 | One kind is called a taxi place recommendation process method and server |
| CN106776771B (en) * | 2016-11-10 | 2018-06-19 | 百度在线网络技术（北京）有限公司 | Information-pushing method and device |
| CN108205792A (en) * | 2016-12-16 | 2018-06-26 | 方正国际软件(北京)有限公司 | A kind of city hot spot regional analysis and device |
| CN109102093A (en) * | 2017-06-21 | 2018-12-28 | 北京嘀嘀无限科技发展有限公司 | The determination method, apparatus and electronic equipment of single hot spot region under a kind of net about vehicle |
| CN109102093B (en) * | 2017-06-21 | 2021-04-09 | 北京嘀嘀无限科技发展有限公司 | Method and device for determining single hot spot area under taxi appointment and electronic equipment |
| CN107191076A (en) * | 2017-06-23 | 2017-09-22 | 深圳市盛路物联通讯技术有限公司 | A kind of intelligence determines the method and device that passenger safety is got off |
| WO2019113875A1 (en) * | 2017-12-14 | 2019-06-20 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for optimizing order allocation |
| TWI713945B (en) * | 2017-12-14 | 2020-12-21 | 大陸商北京嘀嘀無限科技發展有限公司 | Systems and methods for optimizing order allocation |
| CN110556049A (en) * | 2018-06-04 | 2019-12-10 | 百度在线网络技术（北京）有限公司 | map data processing method, device, server and storage medium |
| CN110889029A (en) * | 2018-08-17 | 2020-03-17 | 北京京东金融科技控股有限公司 | City target recommendation method and device |
| CN110889029B (en) * | 2018-08-17 | 2024-04-05 | 京东科技控股股份有限公司 | Urban target recommendation method and device |
| CN110428627A (en) * | 2019-08-28 | 2019-11-08 | 北京元光智行信息技术有限公司 | A kind of bus trip potentiality area recognizing method and identifying system |
| CN111144979A (en) * | 2019-12-13 | 2020-05-12 | 北京三快在线科技有限公司 | Data processing method and device |
| CN117271918A (en) * | 2023-11-06 | 2023-12-22 | 腾讯科技（深圳）有限公司 | Information processing method, device, equipment, medium and product |
| CN117271918B (en) * | 2023-11-06 | 2024-03-08 | 腾讯科技（深圳）有限公司 | Information processing method, device, equipment, medium and product |
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