CN104599088A - Dispatching method and dispatching system based on orders - Google Patents
Dispatching method and dispatching system based on orders Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Abstract
An embodiment of the invention provides a dispatching method based on orders. The dispatching method includes predicting order quantity within given time and given area; calculating the number of potential users receiving the orders within the given time and the given area; determining hotspot characteristics of the given area on the basis of the predicted order quantity and the potential users receiving the orders. The embodiment of the invention further provides a dispatching system based on the orders. By the dispatching method and the dispatching system based on the orders, dispatching information can be conveniently and visually provided for the users, and the problems of low resource dispatching efficiency and resource waste are solved.
Description
Technical field
Embodiment of the present disclosure relates generally to a kind of dispatching method based on order and dispatching system.
Background technology
In recent years, along with the development in city, demand of calling a taxi has been the common requirements of society each stratum personage.Software of calling a taxi provides an instrument easily for driver and passenger, solves the problem of information asymmetry between taxi driver and passenger.The service of calling a taxi is different from traditional method of service, call a taxi service in provide the driver of service be usually dispersed in diverse geographic location place prepare service is provided, and passenger be also dispersed in diverse geographic location place wait for service side arrive this geographic position to receive service.There is no direct communication way between driver and passenger, can only wait in a random way.On the one hand, driver so usually can be caused not receive work, and passenger beat the problem less than car.On the other hand, because between driver, information is isolated relatively, the demand information of driver to passenger is also known little about it, and therefore easily occurs the scene that the excessive and driver's transport power of some demand is relatively many or some demand is less and scene that driver's transport power is relatively many.
How to coordinate driver's transport power and passenger demand is a scabrous problem, therefore whether driver is look in this locality to need a kind of technology to tell, or wait for bus in local some places, or directly leave here for other place, to strengthen taxi driver's judgement and benefit.There is the whereabouts recommended technology much based on driver track and driver's current point at present, these technology all only considered the demand of calling a taxi of passenger, do not consider to use real-time or historical data, but simply based on the statistical study of time period and region zones, the subject matter of these technology is that driver does not understand the current driver's transport power situation in the large region of demand of calling a taxi, do not understand and how arrive the traffic conditions in this region from current location, therefore not can solve the problem between driver's transport power and passenger demand.
Summary of the invention
One of object of embodiment of the present disclosure is for providing a kind of dispatching method based on order and dispatching system, to solve or to alleviate above-mentioned one or more problem of the prior art.
According to an aspect of the present disclosure, a kind of dispatching method based on order is provided, comprises: predict the order volume in preset time and given area; Calculate the quantity receiving the user of described order within described preset time and described given area potentially; And based on the order volume of described prediction and the described quantity receiving the user of described order potentially, determine the focus feature of described given area.
According to an embodiment of the present disclosure, predict and to comprise in the order volume of preset time and given area: order is classified by the preference based on Order Type and/or user; And for the classification of order, predict the order volume in described preset time and described given area.
According to an embodiment of the present disclosure, according to the departure place of order and destination, described order is classified; And the preference of described user is obtained according to the historical behavior data of user.
According to an embodiment of the present disclosure, described order is classified as short distance order and long-distance order; And the preference of described user comprises following at least one item: the destination of order, departure place, short distance order, long-distance order and order time.
According to an embodiment of the present disclosure, predict and to comprise in the order volume of preset time and given area: based on History Order data and/or current order data, predict the order volume in described preset time and described given area.
According to an embodiment of the present disclosure, based on order volume and the described quantity receiving the user of described order potentially of described prediction, determine that the focus feature of described given area comprises: by the summation of the order volume in described preset time and described given area divided by the described quantity receiving the user of described order potentially, be multiplied by smooth function again, to obtain focus value.
According to an embodiment of the present disclosure, described smooth function is logarithmic function.
According to an embodiment of the present disclosure, described method also comprises: send dispatch request by user; Obtain the position data of described user; And generate described given area based on described position data.
According to an embodiment of the present disclosure, also comprise: based on described focus value Heat of Formation point diagram.
According to an embodiment of the present disclosure, comprise based on described focus value Heat of Formation point diagram: described focus value is divided into multiple grade; And convert described focus value to the color corresponding from grade and described focus value is presented at the form of different colors comprise described given area map in.
According to another aspect of the present disclosure, a kind of dispatching system based on order is also provided, comprises: order volume prediction module, be configured to the order volume predicted in preset time and given area; Customer volume computing module, is configured to calculate the quantity receiving the user of described order within described preset time and described given area potentially; And focus characteristic determination module, be configured to the order volume based on described prediction and the described quantity receiving the user of described order potentially, determine the focus feature of described given area.
According to an embodiment of the present disclosure, described order volume prediction module comprises sort module, and order is classified by the preference be configured to based on Order Type and/or user; And
Described order volume prediction module is configured to: for order classification, predict order volume in described preset time and described given area.
According to an embodiment of the present disclosure, described sort module is configured to: classify to described order according to the departure place of order and destination, and obtain the preference of described user according to the historical behavior data of user.
According to an embodiment of the present disclosure, described order is classified as short distance order and long-distance order; And the preference of described user comprises following at least one item: the destination of order, departure place, short distance order, long-distance order and order time.
According to an embodiment of the present disclosure, described order volume prediction module is configured to: based on History Order data and/or current order data, predicts the order volume in described preset time and described given area.
According to an embodiment of the present disclosure, focus characteristic determination module is configured to: by the summation of the order volume in described preset time and described given area divided by the described quantity receiving the user of described order potentially, be multiplied by smooth function again, to obtain described focus value.
According to an embodiment of the present disclosure, described smooth function is logarithmic function.
According to an embodiment of the present disclosure, system also comprises given area determination module, is configured to send dispatch request to obtain the position data of described user and to generate described given area based on described position data in response to user.
According to an embodiment of the present disclosure, described system also comprises hotspot graph generation module, is configured to based on described focus value Heat of Formation point diagram.
According to an embodiment of the present disclosure, described hotspot graph generation module is configured to: described focus value is divided into multiple grade; And convert described focus value to the color corresponding from grade and described focus value is presented at the form of different colors comprise described given area map in.
According to the dispatching method based on order and the dispatching system of embodiment of the present disclosure, based on the order volume of described prediction and the described quantity receiving the user of described order potentially, the focus feature of described given area can be determined.Focus feature reflects the supplydemand relationship between order and user effectively, the user that is defined as of focus feature provides valuable schedule information, user can make suitable decision-making based on focus feature, solves the difficult problem between driver's transport power and passenger demand in the service of such as calling a taxi.
Accompanying drawing explanation
Now by means of only the mode of example, with reference to appended accompanying drawing, embodiment of the present disclosure is described, wherein:
Fig. 1 is the schematic flow diagram of the dispatching method based on order according to an exemplary embodiment of the present disclosure;
Fig. 2 is the schematic diagram of the dispatching system based on order according to an exemplary embodiment of the present disclosure;
Fig. 3 is the schematic diagram of the dispatching system based on order according to another exemplary embodiment of the present disclosure.
Embodiment
Now will be specifically described embodiment of the present disclosure by reference to the accompanying drawings.It should be noted that in accompanying drawing and may use same figure denote to similar parts or functional module.Appended accompanying drawing is only intended to embodiment of the present disclosure is described.Those skilled in the art can obtain alternate embodiments from following description on the basis of not departing from disclosure spirit and protection domain.
Embodiment of the present disclosure provides a kind of dispatching method based on order and dispatching system.Should be understood that, here order can comprise various order, such as order the order of certain service or commodity, the order of such as order item, order etc. of calling a taxi, placing an order can be such as by making a phone call, realizing placing an order by mobile terminals such as client, mobile phone such as computers.Order such as can be sent to server, dispatching center, Customer Service Center etc.Although in the following embodiments, to call a taxi, order is described, and should be understood that, the disclosure is not limited to order of calling a taxi, and can be various types of order.After receiving order, such as, at dispensing goods or when providing service, inevitably relate to the coordination of manpower or material resources, the dispatching method based on order and the dispatching system of embodiment of the present disclosure can be applicable to this sight certainly.Although the disclosure is using service as Scheduling content, Scheduling content can design the scheduling of the various resources such as various human and material resources.Under instruction of the present disclosure, easily design of the present disclosure is expanded in other similar situation various.
Embodiment of the present disclosure is described in detail below in conjunction with accompanying drawing.
Fig. 1 is the schematic diagram of the dispatching method based on order according to an exemplary embodiment of the present disclosure.As shown in Figure 1, the dispatching method based on order according to embodiment of the present disclosure comprises: in step S101, predicts the order volume in preset time and given area.In step S102, calculate the quantity of the user receiving order within preset time and given area potentially; And in step S103, based on prediction order volume and receive the quantity of user of order potentially, determine the focus feature of given area.
Should be understood that, term here " receives the user of order potentially " and can refer to manpower to be scheduled or material resources, such as, in the service of calling a taxi, can be driver.Here " given area " can refer to default minimum calculation unit, the size and shape of given area is without any restriction, can be such as the such as length of side be the square area of 500m, 1km, 3km, 5km etc., or diameter is border circular areas of above-mentioned size etc., actual demand the size of given area can be set as required.For the service of calling a taxi, such as can to arrange radius be the region of 500m is given area.Certainly also given area also can be set as a certain section, a certain geographic orientation etc., such as, based on link name, street name, map partitioning can be become multiple presumptive area.Here " preset time " needs not to be a certain moment, but can be such as section sometime, and the time period such as can divide based on minute, hour etc., even can divide based on the longer time.Preferably, for the given duration, order volume presents metastable feature, then using this duration as preset time.Certain preset time can carry out free setting according to actual conditions.
Here term " focus feature " refers to the feature of the supplydemand relationship between the order volume reflecting preset time and given area and the quantity of the user receiving order potentially.Focus feature can be characterized by various forms, includes but not limited to be embodied as word, figure, symbol, sound etc. various forms.In one embodiment, such as, in the middle of the service of calling a taxi, when in given area being a certain section, focus feature can be directly such as the title in this section, such as, send to driver by modes such as short message, broadcast, figures.Such as, in one embodiment, such as, in the middle of the service of calling a taxi, focus feature can be shown with the form of map, and focus feature can be presented as the shades of colour distinguishing map.
According in an embodiment of the present disclosure, predict and to comprise in the order volume of preset time and given area: order is classified by the preference based on Order Type and/or user; And for the classification of order, predict the order volume in preset time and given area.After order is classified, focus feature can be segmented further, to meet the different demands of user, for different users provide more comprehensively, finer schedule information.
Order classification such as can be classified based on the statistical nature of given area and the order of preset time, also can be the individuation data Fractal Classification according to driver.Such as, in the service of calling a taxi, in one embodiment, according to the departure place of order and destination, order is classified, and obtain the preference of user according to the historical behavior data of user.In one embodiment, in the middle of the service of calling a taxi, the preference analysis of user can be such as the preference analysis of driver, such as, analyze driver's competition for orders data message.Analyzing driver's competition for orders data message is such as passing historical data, and these historical datas are collected in a database, can analyze the statistical nature of order or the preference profiles of driver based on these data.The preference profiles of driver can comprise the preference profiles of driver colony, also can comprise the preference profiles of individual driver.Such as, for the preference profiles of individual driver, based on driver's competition for orders data message, the competition for orders time, order distance, order expense, order destination attribute etc. of analyzing driver realize analyzing the preference profiles of individual driver.For the preference profiles of driver colony, such as, can be presented as high-quality destination order.Such as, by destination cluster, the order of the common preference of colony driver can be analyzed.When cluster according to order distance length and each dimension cluster of order time, thus determine the response situation of driver within the same Distance geometry time period, thus more objectively reflect this destination pouplarity, to determine the preference profiles of driver colony.
According to an embodiment of the present disclosure, order is classified as short distance order and long-distance order; And the preference of user comprises the destination of order, departure place, short distance order, long-distance order and/or order time.Here the order time can be such as at 7 .-9 in morning etc., activity activity that can reflect driver and/or passenger etc.
According to an embodiment of the present disclosure, predict and to comprise in the order volume of preset time and given area: based on History Order data and/or current order data, predict the order volume in preset time and given area.The prediction of order volume can such as be predicted by accumulation historical data in a database.Such as, can based on such as the previous day or a few days ago predetermined instant or the historical data in the time period carry out statistical study, predict that this region is to the order volume in moment.In another embodiment, order volume can be predicted based on the order data of current institute real-time collecting.In another embodiment, certain weighted value can be given by the order volume of the order volume predicted based on historical data and current real-time mobile phone, jointly determine order volume by both.
In one embodiment, focus feature can be focus value.Focus value can be passed to user in the mode of numerical value or symbol or voice signal.In one embodiment, focus value can be for marking the color of given area in map.
According to an embodiment of the present disclosure, method also comprises: based on focus value Heat of Formation point diagram.Showed by the mode of figure, easily realize on map, show more directly perceived.
According to an embodiment of the present disclosure, comprise based on focus value Heat of Formation point diagram: focus value is divided into multiple grade; And focus value converted to the color corresponding from grade and focus value be presented at the form of different colors comprise in the map of given area.In one embodiment, different focus values such as can be answered from different Color pair.In one embodiment, the focus value that red representative is larger, and the focus value that blue representative is less, along with the focus value of given area is larger, then the color of given area is redder; Similarly, along with the focus value of given area is less, then the color of given area is more blue.In another embodiment, focus value can be predetermined to be multiple grade, such as Three Estate, and the grade that different Color pair should be different, when focus value is within different grades, shows by different colors.Should be understood that, such must diagram is only exemplary, and diagram can realize in every way.By such mode intuitively, user can be allowed to obtain schedule information rapidly.
The following describes an embodiment of focus value calculating method.According in an embodiment of the present disclosure, by the summation of the order volume in preset time and given area divided by the quantity of user receiving order potentially, then be multiplied by smooth function, to obtain focus value.According to an embodiment of the present disclosure, smooth function is logarithmic function.Can certainly with other smooth functions known in the art.In one embodiment, smooth function is with the logarithm of 2 order volume that are the end, and the end of logarithmic function can be any other numerical value.The magnitude of order volume can be reduced by logarithmic function, and effectively can reflect the focus feature of supplydemand relationship.
By the dispatching method based on order according to embodiment of the present disclosure, can provide the focus feature of order to user in mode intuitively, user can carry out decision-making or scheduling of resource based on focus feature.
According to another aspect of the present disclosure, also provide a kind of dispatching system based on order.Fig. 2 is the schematic diagram of the dispatching system based on order according to an exemplary embodiment of the present disclosure.As shown in Figure 2, comprise according to the dispatching system based on order of the present disclosure: order volume prediction module 21, be configured to the order volume predicted in preset time and given area; Customer volume computing module 22, is configured to calculate the quantity receiving the user of order within preset time and given area potentially; And focus characteristic determination module 23, be configured to based on prediction order volume and receive the quantity of user of order potentially, determine the focus feature of given area.
In one embodiment, the dispatching system based on order of embodiment of the present disclosure can be implemented as the form of software, firmware, such as, can be the form of server, such as, can be implemented as the form of dispatching center or Customer Service Center.The dispatching system based on order of embodiment of the present disclosure is corresponding with the dispatching method based on order of the present disclosure, and can obtain similar effect.The following describes the several embodiments according to the dispatching system based on order of the present disclosure.According to an embodiment of the present disclosure, order volume prediction module comprises sort module, and order is classified by the preference be configured to based on Order Type and/or user; And order volume prediction module is configured to: for order classification, predict order volume in preset time and given area.According to an embodiment of the present disclosure, sort module is configured to: classify to order according to the departure place of order and destination, and obtain the preference of user according to the historical behavior data of user.According to an embodiment of the present disclosure, order is classified as short distance order and long-distance order; And the preference of user comprises the destination of order, departure place, short distance order, long-distance order and/or order time.
According to an embodiment of the present disclosure, order volume prediction module is configured to: based on History Order data and/or current order data, predicts the order volume in preset time and given area.According to an embodiment of the present disclosure, focus characteristic determination module is configured to: by the summation of the order volume in preset time and given area divided by the quantity of user receiving order potentially, then be multiplied by smooth function, to obtain focus value.According to an embodiment of the present disclosure, smooth function is logarithmic function.
According to an embodiment of the present disclosure, system also comprises: hotspot graph generation module, is configured to based on focus value Heat of Formation point diagram; And scheduler module, be configured to hotspot graph to be supplied to user.According to an embodiment of the present disclosure, hotspot graph generation module is configured to: focus value is divided into multiple grade; And focus value converted to the color corresponding from grade and focus value be presented at the form of different colors comprise in the map of given area.。
Fig. 3 is the schematic diagram of the dispatching system based on order according to another exemplary embodiment of the present disclosure.The dispatching system based on order of the dispatching system based on order of the present disclosure shown in Fig. 3 and Fig. 2 is similar, compared with the scheduling of Fig. 2, adds order sort module 30, hotspot graph generation module 36 etc.As shown in Figure 3, comprise according to the dispatching system based on order of the present disclosure: order sort module 30, order volume prediction module 31, customer volume computing module 32, focus characteristic determination module 33, scheduler module 34 and hotspot graph generation module 36.Seemingly, its detailed description is omitted for order sort module 30, order volume prediction module 31, customer volume computing module 32, focus characteristic determination module 33, scheduler module 34 and hotspot graph generation module 36 and the feature class in earlier figures 2 and other embodiments.Below in conjunction with Fig. 3, an application example according to the dispatching system based on order of the present disclosure is described.
Dispatching system based on order such as can be run at least in part in the server, and server such as can be provided with wired or wireless communication device and be suitable for communicating with subscription client.Subscription client is such as mobile terminal.Dispatching system based on order also can partly allow in client.In one embodiment, the dispatching system based on order can make dispatching response based on the request of driver.In another embodiment, the dispatching system based on order can push focus feature to subscription client on one's own initiative.
Below to show the working method of dispatching system key diagram 3 embodiment of given area focus value in map.
The classification that driver (or user) also can preset according to dispatching system sends request, the focus feature request that such as can send short distance order (replaces short distance order, it can also be such as long-distance order, also can be the classification based on driver preference feature, certain time period of peak period of such as going to work, the destination, departure place etc. of order).Order classification can be arranged on the client of user, such as, preset with man-computer modes such as list, option, lists, and user can click option thus send request.When dispatching system receives the dispatch request of driver, dispatching system can obtain the positional information of driver, and by (and inquiry distance (10km) of current for driver coordinate, in other embodiments, inquiry distance can be value that is that preset or system default, in this case, inquiry distance can be omitted) pass to order volume and estimate module 31, order is estimated module 31 and is calculated order volume in appointed area according to the parameter imported into.These order volume data are transmitted to focus characteristic determination module 33.After driver receipt to request or simultaneously, the customer volume computing module 32 of dispatching system is measured based on the driver in (or in region of preset area) in the coordinate calculating given area of user, and sends the driver calculated amount to focus characteristic determination module 33.Focus characteristic determination module 33 determines focus feature based on order volume and driver's amount.
In this embodiment, focus is characterized as the visual signature demonstrated in the map comprising given area with different colors.In one embodiment, following formula is utilized to obtain focus value: (order volume/driver's amount) * log
2(data volume of short distance order).After Heat of Formation point value, focus value sent to scheduler module 34 and hotspot graph generation module 36 scheduler module 34 and hotspot graph generation module 36 in the given area of correspondence, to generate the color corresponding with focus value based on focus value, and demonstrate focus feature in the map comprising this given area.
Although scheduler module 34 and hotspot graph generation module 36 are depicted as two modules, it also can be a functional module.Scheduler module 34 such as can perform at server end, in this case, can show focus feature in the mode pushed from server to subscription client, such as, can trigger propelling movement in response to certain action of user.In addition, hotspot graph generation module can such as in client executing, and focus value can be sent to client by scheduler module 34, realizes focus map generalization in client end.It should be understood that inventive concept of the present disclosure can realize in a variety of forms, explanation is above only exemplary.
In an embodiment of the present disclosure, dispatching system also can comprise traffic computing module 35, and traffic computing module 35 is configured to calculate current congested traffic condition in real time.Traffic computing module 35 operates synergistically with the above-mentioned dispatching system of embodiment of the present disclosure, not only can show hot information and also show real-time transport information.Such as, traffic computing module 35 can by traffic congestion section { < section id, 2>, < section id2, (wherein 2 represent weak blocking up to 3>}, 3 expressions are blocked up by force, do not have markd section to be normal section) return to scheduler module.According to the ordering rule formulated and focus, scheduler module determines that focus result and traffic conditions are returned to hotspot graph generation module 36 and finally show driver by rule.
According to the dispatching method based on order of the present disclosure and dispatching system, based on the order volume of prediction and the quantity of user receiving order potentially, the focus feature of given area can be determined.Focus feature reflects the supplydemand relationship between order and user effectively, the user that is defined as of focus feature provides valuable schedule information, user can make suitable decision-making based on focus feature, solves the difficult problem between driver's transport power and passenger demand in the service of such as calling a taxi.
By describing above and instruction given in relevant drawings, of the present disclosure many modification given here and other embodiment will recognize by disclosure those skilled in the relevant art.Therefore, it being understood that embodiment of the present disclosure is not limited to disclosed embodiment, and modification and other embodiment are intended to comprise within the scope of the present disclosure.In addition, although more than to describe and relevant drawings is described example embodiment under the background of some example combination form of parts and/or function, but should be realized, can the various combination form of parts and/or function be provided by alternate embodiment and not deviate from the scope of the present disclosure.On this point, such as, be also expected with other array configuration of the different parts clearly described above and/or function and be within the scope of the present disclosure.Although be employed herein concrete term, they only use with general and descriptive implication and and are not intended to limit.
Claims (18)
1., based on a dispatching method for order, comprising:
Predict the order volume in preset time and given area;
Calculate the quantity receiving the user of described order within described preset time and described given area potentially; And
Based on order volume and the described quantity receiving the user of described order potentially of described prediction, determine the focus feature of described given area.
2. method according to claim 1, wherein predict and to comprise in the order volume of preset time and given area:
Order is classified by the preference based on Order Type and/or user; And
For the classification of order, predict the order volume in described preset time and described given area.
3. method according to claim 2, wherein
According to the departure place of order and destination, described order is classified; And
The preference of described user is obtained according to the historical behavior data of user.
4. method according to claim 3, wherein
Described order is classified as short distance order and long-distance order; And
The preference of described user comprises following at least one item:
The destination of order, departure place, short distance order, long-distance order and order time.
5. the method according to any one of claim 1-4, wherein predict and to comprise in the order volume of preset time and given area:
Based on History Order data and/or current order data, predict the order volume in described preset time and described given area.
6. the method according to any one of claim 1-4, wherein based on order volume and the described quantity receiving the user of described order potentially of described prediction, determine that the focus feature of described given area comprises:
By the summation of the order volume in described preset time and described given area divided by the described quantity receiving the user of described order potentially, then be multiplied by smooth function, to obtain focus value.
7. method according to claim 6, wherein predict and also to comprise in the order volume of preset time and given area:
Dispatch request is sent by user;
Obtain the position data of described user; And
Described given area is generated based on described position data.
8. method according to claim 7, also comprises:
Based on described focus value Heat of Formation point diagram.
9. method according to claim 8, wherein comprises based on described focus value Heat of Formation point diagram:
Described focus value is divided into multiple grade;
Convert described focus value to the color corresponding with grade; And
Described focus value is presented at the form of different colors in the map comprising described given area.
10., based on a dispatching system for order, comprising:
Order volume prediction module, is configured to the order volume predicted in preset time and given area;
Customer volume computing module, is configured to calculate the quantity receiving the user of described order within described preset time and described given area potentially; And
Focus characteristic determination module, is configured to the order volume based on described prediction and the described quantity receiving the user of described order potentially, determines the focus feature of described given area.
11. methods according to claim 10, wherein said order volume prediction module comprises sort module, and order is classified by the preference be configured to based on Order Type and/or user; And
Described order volume prediction module is configured to: for order classification, predict order volume in described preset time and described given area.
12. systems according to claim 11, wherein
Described sort module is configured to: classify to described order according to the departure place of order and destination, and obtain the preference of described user according to the historical behavior data of user.
13. systems according to claim 12, wherein
Described order is classified as short distance order and long-distance order; And
The preference of described user comprises following at least one item:
The destination of order, departure place, short distance order, long-distance order and order time.
14. systems according to any one of claim 10-13, wherein said order volume prediction module is configured to: based on History Order data and/or current order data, predicts the order volume in described preset time and described given area.
15. systems according to any one of claim 10-13, wherein focus characteristic determination module is configured to: by the summation of the order volume in described preset time and described given area divided by the described quantity receiving the user of described order potentially, be multiplied by smooth function again, to obtain described focus value.
16. systems according to claim 15, also comprise given area determination module, are configured to send dispatch request to obtain the position data of described user and to generate described given area based on described position data in response to user.
17. systems according to claim 16, also comprise hotspot graph generation module, are configured to based on described focus value Heat of Formation point diagram.
18. systems according to claim 17, wherein said hotspot graph generation module is configured to:
Described focus value is divided into multiple grade; And
Convert described focus value to the color corresponding from grade and described focus value is presented at the form of different colors comprise described given area map in.
Priority Applications (9)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510079087.0A CN104599088A (en) | 2015-02-13 | 2015-02-13 | Dispatching method and dispatching system based on orders |
| KR1020177025673A KR20180011053A (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capability scheduling |
| EP16748719.8A EP3258430A4 (en) | 2015-02-13 | 2016-02-04 | Transport capacity scheduling method and system |
| PCT/CN2016/073559 WO2016127918A1 (en) | 2015-02-13 | 2016-02-04 | Transport capacity scheduling method and system |
| KR1020197005368A KR20190020852A (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capacity scheduling |
| US15/550,169 US20180032928A1 (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capacity scheduling |
| SG11201706602RA SG11201706602RA (en) | 2015-02-13 | 2016-02-04 | Methods and systems for transport capacity scheduling |
| PH12017501450A PH12017501450A1 (en) | 2015-02-13 | 2017-08-11 | Methods and system for transport capacity scheduling |
| HK18106920.2A HK1247422A1 (en) | 2015-02-13 | 2018-05-28 | Transport capacity scheduling method and system |
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| CN201510079087.0A CN104599088A (en) | 2015-02-13 | 2015-02-13 | Dispatching method and dispatching system based on orders |
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