CN108520352A - Taxi order allocation method and taxi order distribution system - Google Patents
Taxi order allocation method and taxi order distribution system Download PDFInfo
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- CN108520352A CN108520352A CN201810308182.7A CN201810308182A CN108520352A CN 108520352 A CN108520352 A CN 108520352A CN 201810308182 A CN201810308182 A CN 201810308182A CN 108520352 A CN108520352 A CN 108520352A
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 230000029305 taxis Effects 0.000 description 8
- 230000008901 benefit Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
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Classifications
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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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
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- G06Q50/40—
Abstract
The present invention provides a kind of taxi order allocation methods and taxi order distribution system, wherein taxi order allocation method, including：Obtain the first destination of order to be allocated；According to historical data, the order Making by Probability Sets for driving towards multiple second destinations respectively by the first destination in preset time period is calculated；The preference for driving towards the second destination by the first destination according to order Making by Probability Sets and each terminal, to terminal distribution order.Technical solution through the invention, the preference of the second destination is driven towards by the first destination according to order Making by Probability Sets and each terminal, to terminal distribution order, and then the order success rate of order to be allocated is improved, and improves the whole income and efficiency of operation of driver.
Description
Technical field
The present invention relates to field of computer technology, go out in particular to a kind of taxi order allocation method and one kind
It hires a car order distribution system.
Background technology
With universal and city the development of the smart machines such as intelligent navigation, smart mobile phone, taxi-hailing software, which alleviates, beats
The problem of vehicle hardly possible, brings great convenience to the trip of people, therefore the quantity day of the driver and passenger using taxi-hailing software
Benefit increases.Demand of calling a taxi has real-time, and the order number that taxi-hailing software can be pushed to driver within the unit interval is limited
, in order to improve the order response rate of driver, it is necessary to order information and the preference of driver quickly be matched, by driver
The order of preference is accurately pushed to driver.
Existing order matching process is the long-term row by obtaining the driver in the predeterminable area for including order to be allocated
It is characterized, the order probability after the origin of order to be allocated and the information of destination is got such as driver to learn that driver's is inclined
Good degree, to give Order splitting to be allocated to corresponding driver.But the high reason of driver's order probability, which may be driver, to be multiplied
Visitor is sent to behind destination i.e. rest and goes home, it is also possible to which the order by origin to destination is more, without considering that driver arrives
Up to the order preference behind destination, the whole income of driver and whole order success rate are thereby reduced.
Invention content
The present invention is directed to solve at least one of the technical problems existing in the prior art or related technologies.
For this purpose, it is an object of the present invention to provide a kind of taxi order allocation methods.
It is another object of the present invention to provide taxi order distribution systems.
In view of this, the technical solution of first aspect present invention provides a kind of taxi order allocation method, including：It obtains
Take the first destination of order to be allocated；According to historical data, being driven towards respectively by the first destination in preset time period is calculated
The order Making by Probability Sets of multiple second destinations；According to order Making by Probability Sets and each terminal second is driven towards by the first destination
The preference of destination, to terminal distribution order.
Preferably, the preference for driving towards the second destination by the first destination according to order probability and each terminal, to
Terminal distribution order, specifically includes：Judge whether each order probability in order Making by Probability Sets is more than threshold value；If at least one
Order probability is more than threshold value, then drives towards the descending row of preference of the second destination by the first destination according to each terminal
Sequence, to corresponding terminal distribution order.
Preferably, before the first destination for obtaining order to be allocated, further include：Obtain the departure place of order to be allocated
And multiple terminals in the preset range of departure place.
The technical solution of second aspect of the present invention proposes a kind of taxi order distribution system, including：First obtains list
Member, the first destination for obtaining order to be allocated；Computing unit, for according to historical data, calculating in preset time period
The multiple order probability for driving towards multiple second destinations respectively by the first destination；First allocation unit, for according to order
Probability is driven towards the preference of the second destination with each terminal by the first destination, to terminal distribution order.
Allocation unit specifically includes：Judging unit, for judging whether each order probability in order Making by Probability Sets is big
In threshold value；Second allocation unit, if being more than threshold value at least one order probability, according to each terminal by the first purpose
Ground drives towards the descending sequence of preference of the second destination, to corresponding terminal distribution order.
Taxi order distribution system further includes：Second acquisition unit, departure place for obtaining order to be allocated and
Multiple terminals in the preset range of departure place.
Beneficial effects of the present invention are as follows：
Do not consider order probability of the driver from the starting point of order to be allocated to the first destination, but according to driver from
The order Making by Probability Sets that one destination is travelled to other multiple second destinations, i.e., each from the first destination to another mesh
Ground correspond to an order probability, order probability constitute an order Making by Probability Sets, according to order Making by Probability Sets and each end
The preference of the second destination is driven towards at end by the first destination, to terminal distribution order, and then reversely improves order to be allocated
Order success rate, and improve the whole income and efficiency of operation of driver.
The additional aspect and advantage of the present invention will be set forth in part in the description, and will partly become from the following description
Obviously, or practice through the invention is recognized.
Description of the drawings
The above-mentioned and/or additional aspect and advantage of the present invention will become in the description from combination following accompanying drawings to embodiment
Obviously and it is readily appreciated that, wherein：
Fig. 1 shows the flow diagram of taxi order allocation method according to an embodiment of the invention；
Fig. 2 shows the structural schematic diagrams of taxi order distribution system according to another embodiment of the invention.
Specific implementation mode
It is below in conjunction with the accompanying drawings and specific real in order to be more clearly understood that aforementioned aspect of the present invention, feature and advantage
Mode is applied the present invention is further described in detail.It should be noted that in the absence of conflict, the implementation of the application
Feature in example and embodiment can be combined with each other.
Many details are elaborated in the following description to facilitate a thorough understanding of the present invention, still, the present invention may be used also
To be implemented different from other modes described here using other, therefore, protection scope of the present invention is not by described below
Specific embodiment limitation.
Embodiment 1：
As shown in Figure 1, taxi order allocation method according to an embodiment of the invention, including：Step S102 is obtained
First destination of order to be allocated；Step S104 calculates being divided by the first destination in preset time period according to historical data
The order Making by Probability Sets of multiple second destinations is not driven towards；Step S106, according to order Making by Probability Sets and each terminal by the
The preference of the second destination is driven towards in one destination, to terminal distribution order.
The first destination of the order to be allocated of a-quadrant is obtained first, taxi will continue to order after sailing up to the first purpose,
Therefore it calculates in the preset time period after taxi reaches the first destination, multiple second purposes is driven towards by the first destination respectively
The order Making by Probability Sets on ground, for example, by the first destination to the second destination a probability be a1, by the first destination to the second mesh
Ground b probability be b1, by the first destination to the second destination c probability be c1 ..., formed set a1, b1,
C1 ... }, preference of the taxi obtained according to historical data by the first destination to the second mesh, and combine order probability set
It closes, to terminal distribution order.For example, Order splitting to be allocated can be given to three taxis, three taxis reach the first mesh
Ground after preset time period in, the order probability that the second destination a is driven towards by the first destination is a1, and three taxis are by the
The preference that the second destination a is driven towards in one destination is respectively c1, c2 and c3, and c1 is maximum, then gives order to be allocated respectively
With c1 preference taxis, and then the reversed order success rate for improving taxi, reduce the rate of empty ride of taxi, thus
Improve the whole income and operational efficiency of taxi.
Preferably, the preference for driving towards the second destination by the first destination according to order probability and each terminal, to
Terminal distribution order, specifically includes：Judge whether each order probability in order Making by Probability Sets is more than threshold value；If at least one
Order probability is more than threshold value, then drives towards the descending row of preference of the second destination by the first destination according to each terminal
Sequence, to corresponding terminal distribution order；If at least one order probability is not more than threshold value, do not ordered to corresponding terminal distribution
It is single.
Calculate the corresponding order probability travelled to multiple second destinations as departure place using the first destination, order probability
Respectively p1, p1, p3 ..., if some of which order probability is more than threshold value, according to each terminal by the first destination
Preference descending sequence of the order probability more than the corresponding destination of threshold value is driven towards, by Order splitting to be allocated to correspondence
Taxi, if there is certain order probability be not more than threshold value, then need not calculate corresponding to the order probability no more than threshold value
Taxi.
It should be noted that threshold value is rationally arranged according to historical data.
Before the first destination for obtaining order to be allocated, further include：It obtains the departure place of order to be allocated and goes out
Send out multiple terminals in the preset range on ground.
By obtaining multiple terminals in the departure place of order to be allocated and the preset range of departure place, taxi is reduced
The empty driving time of departure place is rushed for after order.
Embodiment 2：
As shown in Fig. 2, taxi order distribution system 200 according to an embodiment of the invention, including：First acquisition unit
202, the first destination for obtaining order to be allocated；Computing unit 204, for according to historical data, calculating preset time
The multiple order probability for driving towards multiple second destinations respectively by the first destination in section；First allocation unit 206 is used for root
The preference for driving towards the second destination by the first destination according to order probability and each terminal, to terminal distribution order.
The first destination of the order to be allocated of a-quadrant is obtained first, taxi will continue to order after sailing up to the first purpose,
Therefore it calculates in the preset time period after taxi reaches the first destination, multiple second purposes is driven towards by the first destination respectively
The order Making by Probability Sets on ground, for example, by the first destination to the second destination a probability be a1, by the first destination to the second mesh
Ground b probability be b1, by the first destination to the second destination c probability be c1 ..., formed set a1, b1,
C1 ... }, preference of the taxi obtained according to historical data by the first destination to the second mesh, and combine order probability set
It closes, to terminal distribution order.For example, Order splitting to be allocated can be given to three taxis, three taxis reach the first mesh
Ground after preset time period in, the order probability that the second destination a is driven towards by the first destination is a1, and three taxis are by the
The preference that the second destination a is driven towards in one destination is respectively c1, c2 and c3, and c1 is maximum, then gives order to be allocated respectively
With c1 preference taxis, and then the reversed order success rate for improving taxi, reduce the rate of empty ride of taxi, thus
Improve the whole income and operational efficiency of taxi.
First allocation unit 206 specifically includes：Judging unit 2062, for judging each order in order Making by Probability Sets
Whether probability is more than threshold value；Second allocation unit 2064, if being more than threshold value at least one order probability, according to each
Terminal is driven towards the descending sequence of preference of the second destination by the first destination, to corresponding terminal distribution order.
Calculate the corresponding order probability travelled to multiple second destinations as departure place using the first destination, order probability
Respectively p1, p1, p3 ..., if some of which order probability is more than threshold value, according to each terminal by the first destination
Preference descending sequence of the order probability more than the corresponding destination of threshold value is driven towards, by Order splitting to be allocated to correspondence
Taxi, if there is certain order probability be not more than threshold value, then need not calculate corresponding to the order probability no more than threshold value
Taxi.
It should be noted that threshold value is rationally arranged according to historical data.
Taxi order distribution system 200 further includes：Second acquisition unit 208, for obtaining setting out for order to be allocated
Multiple terminals in the preset range of ground and departure place.
By obtaining multiple terminals in the departure place of order to be allocated and the preset range of departure place, taxi is reduced
The empty driving time of departure place is rushed for after order.
Above in association with having illustrated technical scheme of the present invention, technical solution through the invention, by according to order
The preference that probability is driven towards the second destination with each terminal by the first destination improves taxi to terminal distribution order
The order success rate of vehicle, reduces the rate of empty ride of taxi, thus improves the whole income and operational efficiency of taxi.
In the description of this specification, the description of term " one embodiment ", " some embodiments ", " specific embodiment " etc.
Mean that particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one reality of the present invention
It applies in example or example.In the present specification, schematic expression of the above terms are not necessarily referring to identical embodiment or reality
Example.Moreover, description particular features, structures, materials, or characteristics can in any one or more of the embodiments or examples with
Suitable mode combines.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of taxi order allocation method, which is characterized in that including：
Obtain the first destination of order to be allocated；
According to historical data, calculates in preset time period and ordering for multiple second destinations is driven towards by first destination respectively
Single Making by Probability Sets；
The preference of second destination is driven towards by first destination according to the order Making by Probability Sets and each terminal
Degree, to terminal distribution order.
2. taxi order allocation method according to claim 1, which is characterized in that it is described according to the order probability with
The preference that each terminal is driven towards second destination by first destination is specifically included to terminal distribution order：
Judge whether each order probability in the order Making by Probability Sets is more than threshold value；
If at least one order probability is more than the threshold value, institute is driven towards by first destination according to each terminal
The descending sequence of preference for stating the second destination, to corresponding terminal distribution order.
3. taxi order allocation method according to claim 1, which is characterized in that in the acquisition order to be allocated
Before first destination, further include：
Obtain multiple terminals in the departure place of order to be allocated and the preset range of the departure place.
4. a kind of taxi order distribution system, which is characterized in that including：
First acquisition unit, the first destination for obtaining order to be allocated；
Computing unit, for according to historical data, calculate in preset time period driven towards respectively by first destination it is multiple
Multiple order probability of second destination；
Allocation unit, for driving towards second purpose by first destination according to the order probability and each terminal
The preference on ground, to terminal distribution order.
5. taxi order distribution system according to claim 4, which is characterized in that the allocation unit specifically includes：
Judging unit, for judging whether each order probability in the order Making by Probability Sets is more than threshold value；
Allocation unit, if being more than the threshold value at least one order probability, according to each terminal by described the
The descending sequence of preference of second destination is driven towards in one destination, to corresponding terminal distribution order.
6. taxi order distribution system according to claim 4, which is characterized in that further include：
Second acquisition unit, the departure place for obtaining order to be allocated and multiple ends in the preset range of the departure place
End.
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| CN201810308182.7A CN108520352A (en) | 2018-04-08 | 2018-04-08 | Taxi order allocation method and taxi order distribution system |
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| CN201810308182.7A CN108520352A (en) | 2018-04-08 | 2018-04-08 | Taxi order allocation method and taxi order distribution system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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