CN106651213A - Processing method and device for service orders - Google Patents
Processing method and device for service orders Download PDFInfo
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Abstract
The invention provides a processing method and device for service orders. According to the embodiment of the method and the device, operation data of an appointed operation vehicle and order data of each service order in at least one service order of the appointed operation vehicle are obtained; according to the operation data and the order data of each service order, through utilization of a pre-established decision-making tree and an attribute list of the decision-making tree, an attribute earning vector of performing each service order by the appointed operation vehicle is obtained, so an influence factor vector of the appointed operation vehicle can be obtained according to the attribute earning vector of performing each service order by the appointed operation vehicle, and the purpose of quantifying the factors of influencing the operation vehicle on performing the service orders is achieved.
Description
【Technical field】
The present invention relates to traffic technique, more particularly to a kind of processing method and processing device of Service Order.
【Background technology】
At present, in order to increase the operation ability and operation efficiency of urban public transport, online dial-a-cab are occurred in that for example,
Taxi, express, windward driving etc., user can easily pass through chauffeur application in used terminal (Application,
APP), issuing service order, the process engine by corresponding to chauffeur software is allocated process to Service Order.Existing order
Can be running data according to the operation data of order data and commerial vehicle in assigning process, order to be allocated be carried out point
With process.As a rule, each commerial vehicle performs a Service Order and receives a Service Order or refuse a service
Order, is that the terminating point position etc. that order price, the initial point position of Service Order, Service Order are estimated by Service Order is ordered
Forms data, and travel speed, the commerial vehicle of commerial vehicle is apart from the distance of initial point position, the historical data of commerial vehicle
What the Multiple factors such as the operation data Deng commerial vehicle affected.
However, because the metric form for affecting commerial vehicle to perform the various factors of Service Order has larger difference, and
And be difficult to unify to be quantified, need the method that the factor that a kind of quantization influence commerial vehicle performs Service Order is provided badly.
【The content of the invention】
The many aspects of the present invention provide a kind of processing method and processing device of Service Order, to quantization influence commerial vehicle
Perform the factor of Service Order.
A kind of an aspect of of the present present invention, there is provided processing method of Service Order, including：
Obtain each at least one Service Order for specify the operation data and the specified commerial vehicle of commerial vehicle
The order data of Service Order；
According to the operation data and the order data of each Service Order, using the decision tree and institute that are pre-created
The attribute list of decision tree is stated, the attribute income vector that the specified commerial vehicle performs each Service Order is obtained；
The attribute income vector of each Service Order, obtains the specified battalion according to the specified commerial vehicle is performed
The influence factor vector of fortune vehicle.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, it is described according to institute
The order data of operation data and each Service Order is stated, using the decision tree being pre-created and the attribute of the decision tree
List, before obtaining the attribute income vector that the specified commerial vehicle performs each Service Order, also includes：
Obtain the order data of each Service Order at least one Service Order produced by specified time range；
Obtain the operation data of the related commerial vehicle of described each Service Order；
By the operation of the order data of each Service Order commerial vehicle related to described each Service Order
Data, as training data；
Using the training data, the decision tree is created.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, it is described according to institute
The order data of operation data and each Service Order is stated, using the decision tree being pre-created and the attribute of the decision tree
List, obtains the attribute income vector that the specified commerial vehicle performs each Service Order, including：
According to the operation data and the order data of each Service Order, using the decision tree and institute that are pre-created
The attribute list of decision tree is stated, the specified commerial vehicle is obtained and is performed the road of each Service Order on the decision tree
The income of each non-leaf nodes is vectorial in whole non-leaf nodes on footpath, and the path；
Path of each Service Order on the decision tree according to the specified commerial vehicle is performed, and it is described
The income of each non-leaf nodes is vectorial in whole non-leaf nodes on path, obtains the specified commerial vehicle execution described every
The attribute income vector of individual Service Order.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, it is described according to institute
State the attribute income vector that specified commerial vehicle performs each Service Order, obtain the impact of the specified commerial vehicle because
Plain vector, including：
Commerial vehicle is specified to receive according to the attribute income vector sum that the specified commerial vehicle receives Service Order
The quantity of Service Order, obtain the specified commerial vehicle receives factor vector；
Commerial vehicle refusal is specified according to the attribute income vector sum of the specified commerial vehicle refusal Service Order
The quantity of Service Order, obtains the refusal factor vector of the specified commerial vehicle；
According to the specified commerial vehicle receive factor vector sum described in specify commerial vehicle refusal factor vector, obtain
Obtain the influence factor vector of the specified commerial vehicle.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, the decision tree
Quantity be N, N is the integer more than or equal to 1.
A kind of another aspect of the present invention, there is provided processing meanss of Service Order, including：
Acquiring unit, for obtaining the operation data of specified commerial vehicle and at least one clothes of the specified commerial vehicle
The order data of each Service Order in business order；
Income unit, for according to the order data of the operation data and each Service Order, using wound in advance
The decision tree built and the attribute list of the decision tree, obtain the category that the specified commerial vehicle performs each Service Order
Property income vector；
Unit is affected, for the attribute income vector of each Service Order according to the specified commerial vehicle execution,
Obtain the influence factor vector of the specified commerial vehicle.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, the income list
Unit, is additionally operable to
Obtain the order data of each Service Order at least one Service Order produced by specified time range；
Obtain the operation data of the related commerial vehicle of described each Service Order；
By the operation of the order data of each Service Order commerial vehicle related to described each Service Order
Data, as training data；And
Using the training data, the decision tree is created.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, the income list
Unit, specifically for
According to the operation data and the order data of each Service Order, using the decision tree and institute that are pre-created
The attribute list of decision tree is stated, the specified commerial vehicle is obtained and is performed the road of each Service Order on the decision tree
The income of each non-leaf nodes is vectorial in whole non-leaf nodes on footpath, and the path；And
Path of each Service Order on the decision tree according to the specified commerial vehicle is performed, and it is described
The income of each non-leaf nodes is vectorial in whole non-leaf nodes on path, obtains the specified commerial vehicle execution described every
The attribute income vector of individual Service Order.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, the impact list
Unit, specifically for
Commerial vehicle is specified to receive according to the attribute income vector sum that the specified commerial vehicle receives Service Order
The quantity of Service Order, obtain the specified commerial vehicle receives factor vector；
Commerial vehicle refusal is specified according to the attribute income vector sum of the specified commerial vehicle refusal Service Order
The quantity of Service Order, obtains the refusal factor vector of the specified commerial vehicle；And
According to the specified commerial vehicle receive factor vector sum described in specify commerial vehicle refusal factor vector, obtain
Obtain the influence factor vector of the specified commerial vehicle.
Aspect as above and arbitrary possible implementation, it is further provided a kind of implementation, the decision tree
Quantity be N, N is the integer more than or equal to 1.
As shown from the above technical solution, the embodiment of the present invention is by obtaining the operation data and the finger of specifying commerial vehicle
Determine the order data of each Service Order at least one Service Order of commerial vehicle, and then according to the operation data and institute
The order data of each Service Order is stated, using the decision tree being pre-created and the attribute list of the decision tree, obtains described
Specified commerial vehicle performs the attribute income vector of each Service Order, enabling held according to the specified commerial vehicle
The attribute income vector of row each Service Order, obtains the influence factor vector of the specified commerial vehicle, so as to realize
Quantization influence commerial vehicle performs the purpose of the factor of Service Order.
In addition, using technical scheme provided by the present invention, quantized result can be used for the operation behavior of commerial vehicle
Analysis, optimizes the Order splitting of online dial-a-cab, can effectively lift the experience of user.
【Description of the drawings】
Technical scheme in order to be illustrated more clearly that the embodiment of the present invention, below will be to embodiment or description of the prior art
Needed for the accompanying drawing to be used be briefly described, it should be apparent that, drawings in the following description be the present invention some realities
Example is applied, for those of ordinary skill in the art, without having to pay creative labor, can be with attached according to these
Figure obtains other accompanying drawings.
The schematic flow sheet of the processing method of the Service Order that Fig. 1 is provided for one embodiment of the invention；
The structural representation of the processing meanss of the Service Order that Fig. 2 is provided for another embodiment of the present invention.
【Specific embodiment】
To make purpose, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention, rather than the embodiment of whole.Based on the embodiment in the present invention, those of ordinary skill in the art
The whole other embodiments obtained under the premise of creative work is not made, belong to the scope of protection of the invention.
It should be noted that terminal involved in the embodiment of the present invention can include but is not limited to mobile phone, individual digital
Assistant (Personal Digital Assistant, PDA), radio hand-held equipment, panel computer (Tablet Computer),
PC (Personal Computer, PC), MP3 player, MP4 players, wearable device (for example, intelligent glasses,
Intelligent watch, Intelligent bracelet etc.) etc..
In addition, the terms "and/or", a kind of only incidence relation of description affiliated partner, expression there may be
Three kinds of relations, for example, A and/or B can be represented：Individualism A, while there is A and B, individualism B these three situations.Separately
Outward, character "/" herein, typicallys represent forward-backward correlation pair as if a kind of relation of "or".
The schematic flow sheet of the processing method of the Service Order that Fig. 1 is provided for one embodiment of the invention, as shown in Figure 1.
101st, in obtaining at least one Service Order for specifying the operation data and the specified commerial vehicle of commerial vehicle
The order data of each Service Order.
In the present invention, " specified " two word in involved specified commerial vehicle, particular meaning, is not exactly to specify
Current operation object, it is therefore intended that commerial vehicle is exactly common commerial vehicle, for example, taxi, express, with the wind
Car etc..
102nd, according to the operation data and the order data of each Service Order, using the decision tree being pre-created
With the attribute list of the decision tree, obtain the specified commerial vehicle perform the attribute income of each Service Order to
Amount.
103rd, the attribute income of each Service Order is vectorial according to the specified commerial vehicle is performed, and obtains the finger
Determine the influence factor vector of commerial vehicle.
It should be noted that 101～103 executive agent can be partly or entirely the application for being located locally terminal,
Or can also be the plug-in unit being arranged in the application of local terminal or SDK (Software
Development Kit, SDK) etc. functional unit, or can also be the process engine in network side server, or
Can also be the distributed system positioned at network side, the present embodiment is not particularly limited to this.
It is understood that the application can be mounted in the local program in terminal (nativeApp), or may be used also
To be a web page program (webApp) of browser in terminal, the present embodiment is not defined to this.
So, the operation behavior using the sorting algorithm based on decision tree to commerial vehicle is modeled to create decision-making
Tree, using affecting commerial vehicle to perform degree of purity income of the various factors of Service Order during the establishment of decision tree, comes
Quantify various factors, it is achieved thereby that quantization influence commerial vehicle performs the purpose of the factor of Service Order.
During user uses chauffeur application, produced Service Order, its related order data can include
But it is not limited at least one in following data：
The initial point position of Service Order, the terminating point position of Service Order, the initial point position of Service Order and service
Whether the terminating point position of order is the end of the family or work unit, the initial point position of Service Order and Service Order of user
Dead-centre position be whether the terminating point position of commercial circle, the initial point position of Service Order and Service Order be whether transport hub,
Service Order place city, the time started of Service Order, the type of vehicle of Service Order, the initial point position of Service Order with
Estimate the order price, Service Order of operating range, Service Order between the terminating point position of Service Order estimates order
The ratio of price and the average order price of all Service Orders, the estimate running time, Service Order of Service Order are estimated
Whether the ratio of travel speed and the average overall travel speed of all Service Orders, Service Order pass through congestion regions and user's property
Not.
Wherein, the recording mode of the terminating point position of the initial point position of Service Order and Service Order, can adopt many
The mode of kind, the present embodiment is not particularly limited to this.
For example, the initial point position of Service Order and the terminating point position of Service Order can be converted into regional code
Such as, using spatial index coding (GeoHash) method etc..
Or, then for example, can be by the initial point position of Service Order and the terminating point position of Service Order, according to longitude and latitude
Degree is divided, and is divided into the shapes such as the block such as rectangle or hexagon of designated shape, then, enters rower to these blocks respectively
Know, give each unique mark of block distribution.
Wherein, the time started of Service Order can include but is not limited to following dimension data：
Whether the morning, whether afternoon, whether evening, whether after midnight, week, hour, whether weekend and on being whether
Next rush hour section.
According to produced Service Order, the commercial vehicle near the initial point position of Service Order can also be searched further for
, the operation data of its correlation can be included but is not limited in commerial vehicle positional information and commerial vehicle historical information at least
One, the present embodiment is not particularly limited to this.
Commerial vehicle positional information, can include but is not limited at least one in following message：
The current travel speed of commerial vehicle, the duration of commerial vehicle current moving state, commerial vehicle are current
Operating range, commerial vehicle between the current position of position, commerial vehicle and the initial point position of Service Order
Be connected to user estimate running time and commerial vehicle is connected to user estimates travel speed.
Wherein, the recording mode of the current position of commerial vehicle, orders with the initial point position of Service Order and service
The recording mode of single terminating point position is similar to, and various ways, the present embodiment can be adopted not to be particularly limited this.In detail
Description may refer to the related content of the initial point position of Service Order and the terminating point position of Service Order, no longer go to live in the household of one's in-laws on getting married herein
State.
Commerial vehicle historical information, the row between the current position of commerial vehicle and the initial point position of Service Order
Distance (connecing people's operating range) is sailed, the ratio for averagely connecing people's operating range, Service Order with commerial vehicle history is estimated
People's running time is connect with the ratio for averagely connecing people's running time of commerial vehicle history, the quantity of past M days refusal Service Order
Ratio, commerial vehicle with the quantity for receiving Service Order is gone in M days average online hours and designated area (such as commerial vehicle
Registered address region etc.) all commerial vehicles go over the ratio of M days average online hours, commerial vehicle past M balances
4 quantiles of equal online hours and (the such as registered address region of commerial vehicle) all commerial vehicle mistakes in designated area
The ratio of 4 quantiles of M days average online hours, commerial vehicle is gone to go over averagely to refuse for M days the quantity of Service Order and specify
(the such as registered address region of commerial vehicle) all commerial vehicles go over averagely to refuse within M days the number of Service Order in region
The ratio of amount, commerial vehicle past averagely receive in the quantity and designated area of Service Order (such as the registered place of commerial vehicle for M days
Location region etc.) all commerial vehicles go over averagely to receive for M days the ratio of quantity of Service Order, commerial vehicle and go over M days
The ratio of the duration that the duration of mobile status goes over M days driving traces with commerial vehicle (is operated in driving trace
Vehicle go over M days driving traces in mobile status time accounting) and commerial vehicle go over M days driving traces in movement
State for time accounting goes over M days rows with (the such as registered address region of commerial vehicle) in designated area all commerial vehicles
Sail the ratio of the mobile status time accounting in track.
Alternatively, in a possible implementation of the present embodiment, in 101, specifically can be from specified time model
The order data of each Service Order in Service Order produced by enclosing, and the related commerial vehicle of each Service Order
In operation data, the operation data of specified commerial vehicle and at least one Service Order of the specified commerial vehicle can be obtained
In each Service Order order data.
Alternatively, in a possible implementation of the present embodiment, before 102, can also further obtain and refer to
The order data of each Service Order at least one Service Order fixed time produced by scope, and obtain described each clothes
The operation data of the related commerial vehicle of business order.Further, then can be by the order data of each Service Order and institute
The operation data of the related commerial vehicle of each Service Order are stated, as training data, using the training data, institute is created
State decision tree.
Specifically, during decision tree is created, can be by the distribution of the Service Order within specified a period of time
, used as a training data, every training data can be by the operation related to the Service Order of the order data of Service Order for data
The operation data composition of vehicle, each content in training data is exactly an attribute.Further, can be with according to these fortune
Whether vehicle receives the Service Order, marks to each commerial vehicle, and for example, acceptance is labeled as 1, and refusal is labeled as 0.
On the basis of the training data for being constituted, N number of decision tree can be built.Wherein, the constructed decision-making
Quantity N of tree, can be the integer more than or equal to 1.
Specifically, if N is 1, then, the conventional Constructing Method for Decision such as C4.5 algorithms, ID3 algorithms can be adopted,
Build a decision tree.
Specifically, if N is the integer more than or equal to 2, then, random forest (random can be adopted
Forest) and gradient boosted tree (Gradient Boosting Decision Tree, GBDT) method, build multiple decision-makings
Tree.
Alternatively, in a possible implementation of the present embodiment, in 102, specifically can be according to the operation
The order data of data and each Service Order, using the decision tree being pre-created and the attribute list of the decision tree,
Obtain the specified commerial vehicle and perform the path of each Service Order on the decision tree, and on the path it is complete
The income vector of each non-leaf nodes in portion's non-leaf nodes, and then, then institute can be performed according to the specified commerial vehicle
State path of each Service Order on the decision tree, and each non-leaf section in whole non-leaf nodes on the path
The income vector of point, obtains the attribute income vector that the specified commerial vehicle performs each Service Order, for example, by road
The vectorial mean value of the income of each non-leaf nodes in whole non-leaf nodes, performs as the specified commerial vehicle on footpath
The attribute income vector of each Service Order.
During the establishment of decision tree, need to enter line splitting to obtain non-leaf nodes based on each attribute, each
Non-leaf nodes can correspondingly divide passed through all properties.The degree of purity of all properties corresponding to each non-leaf nodes
Income, can adopt existing decision-tree model in commonly use standard, for example, Geordie (GINI) coefficient gain, information gain and
Information gain ratio etc..Specifically, during can specifically recording decision tree establishment, corresponding to each non-leaf nodes for being obtained
All properties degree of purity income Gain (i, t).Wherein, i represents the ith attribute in training data, and t is right in decision tree
The non-leaf nodes answered.Therefore, the attribute that each non-leaf nodes t can have the attribute number that a length is training data is received
Beneficial vector v ec (t)=(Gain (1, t), Gain (2, t) ... ... Gain (S, t)), wherein, S is attribute number.
When being differentiated using decision tree, the path P passed by decision tree is depended primarily on i.e. from the root of decision tree
Node, through non-leaf nodes, arrival provides the path of the leaf node of category result.In the present invention, can be using in path P
The income vector of each non-leaf nodes is considered reflecting how commerial vehicle performs Service Order in whole non-leaf nodes
Factor, be designated as factor vector e (o, p).Therefore, factor vector e (o, p) is that the specified commerial vehicle performs Service Order o
Attribute income vector, can be expressed as in path P each non-leaf nodes in whole non-leaf nodes income vector it is flat
Average, i.e. e (o, p)=∑t∈pVec (t)/Length (p), wherein, Length (p) represents the number of non-leaf nodes in path P
Amount.
Alternatively, in a possible implementation of the present embodiment, in 103, specifically can be specified according to described
Commerial vehicle receives to specify commerial vehicle to receive the quantity of Service Order described in the attribute income vector sum of Service Order, obtains institute
That states specified commerial vehicle receives factor vector, and according to the attribute income of the specified commerial vehicle refusal Service Order to
Amount and the specified commerial vehicle refuse the quantity of Service Order, obtain the refusal factor vector of the specified commerial vehicle.So
Afterwards, then can according to the specified commerial vehicle receive factor vector sum described in specify commerial vehicle refusal factor vector,
Obtain the influence factor vector of the specified commerial vehicle.
Performing a Service Order generally, due to commerial vehicle includes that receiving Service Order and two kinds of Service Order of refusal holds
Every trade is, it is therefore intended that commerial vehicle performs the attribute income vector of each Service Order, can be specified commerial vehicle
Receive Service Order attribute income vector, or can also be specify commerial vehicle refusal Service Order attribute income to
Amount, the present embodiment is not particularly limited to this.So, the influence factor vector Decision_ of certain specified commerial vehicle
Vec, then can receive factor vector accept by specified commerial vehiclevecWith the refusal factor vector of specified commerial vehicle
rejectvecComposition, is designated as Decision_vec=(acceptvec,rejectvec)。
This be adopted decision tree quantity be 1 when, it is intended that the influence factor vector Decision_vec of commerial vehicle
Composition.
So, if the quantity of the decision tree for being adopted is more than 1, every decision tree can be respectively directed to, calculates one
Then the multiple Decision_vec for being obtained, then can be carried out summation process and normalized by Decision_vec, will
Influence factor vector of its result as specified commerial vehicle.
Wherein it is possible to specified commerial vehicle be received the weighted value of attribute income vector e (o, p) of Service Order and is specified
Commerial vehicle receives the ratio of quantity number_of_accept_order of Service Order, used as the acceptance of specified commerial vehicle
Factor vector acceptvec, i.e. acceptvec=∑o∈acceptorderwoe(o,p)/number_of_accept_order.Specify
Commerial vehicle receives factor vector acceptvecIn element with training when decision tree in attribute it is corresponding, the value of element is got over
Greatly, represent the attribute to specify commerial vehicle receive Service Order influence it is bigger.Here, element can be referred to as shadow again
Ring the factor that commerial vehicle performs Service Order.
It is likewise possible to specified commerial vehicle be refused the weighted value of attribute income vector e (o, p) of Service Order and is referred to
The ratio of quantity number_of_reject_order of commerial vehicle refusal Service Order is determined, as refusing for specified commerial vehicle
Factor vector reject absolutelyvec, i.e. rejectvec=∑o∈rejectorderwoe(o,p)/number_of_reject_order.Refer to
Determine the refusal factor vector reject of commerial vehiclevecIn element with training when decision tree in attribute it is corresponding, the value of element
It is bigger, represent that the attribute is bigger to the influence of specified commerial vehicle refusal Service Order.Here, element can be referred to as again
Commerial vehicle is affected to perform the factor of Service Order.
In the present embodiment, by obtaining at least one of the operation data and specified commerial vehicle for specifying commerial vehicle
The order data of each Service Order in Service Order, and then according to the operation data and the order of each Service Order
Data, using the decision tree being pre-created and the attribute list of the decision tree, obtain the specified commerial vehicle execution described
The attribute income vector of each Service Order, enabling each Service Order according to the specified commerial vehicle is performed
Attribute income vector, obtains the influence factor vector of the specified commerial vehicle, it is achieved thereby that quantization influence commerial vehicle is held
The purpose of the factor of row Service Order.
In addition, using technical scheme provided by the present invention, quantized result can be used for the operation behavior of commerial vehicle
Analysis, optimizes the Order splitting of online dial-a-cab, can effectively lift the experience of user.
It should be noted that for aforesaid each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention do not limited by described sequence of movement because
According to the present invention, some steps can adopt other orders or while carry out.Secondly, those skilled in the art also should know
Know, embodiment described in this description belongs to preferred embodiment, involved action and module is not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, without the portion described in detail in certain embodiment
Point, may refer to the associated description of other embodiment.
The structural representation of the processing meanss of the Service Order that Fig. 2 is provided for another embodiment of the present invention, as shown in Figure 2.
The processing meanss of the Service Order of the present embodiment can include acquiring unit 21, income unit 22 and affect unit 23.Wherein, obtain
Take unit 21, for obtaining the operation data of specified commerial vehicle and at least one Service Order of the specified commerial vehicle in
The order data of each Service Order；Income unit 22, for being ordered according to the operation data and each Service Order
Forms data, using the decision tree being pre-created and the attribute list of the decision tree, obtains the specified commerial vehicle and performs institute
State the attribute income vector of each Service Order；Affect unit 23, for described in being performed according to the specified commerial vehicle each
The attribute income vector of Service Order, obtains the influence factor vector of the specified commerial vehicle.
Wherein, the quantity of the decision tree can be N, and N is the integer more than or equal to 1.
It should be noted that the processing meanss of Service Order that the present embodiment is provided can be located locally terminal should
With, or can also be the plug-in unit being arranged in the application of local terminal or SDK (Software
Development Kit, SDK) etc. functional unit, or can also be the process engine in network side server, or
Can also be the distributed system positioned at network side, the present embodiment is not particularly limited to this.
It is understood that the application can be mounted in the local program in terminal (nativeApp), or may be used also
To be a web page program (webApp) of browser in terminal, the present embodiment is not defined to this.
Alternatively, in a possible implementation of the present embodiment, the income unit 22 can also be used further
In the order data for obtaining each Service Order at least one Service Order produced by specified time range；Obtain described every
The operation data of the related commerial vehicle of individual Service Order；By the order data of each Service Order and described each clothes
The operation data of the related commerial vehicle of business order, as training data；And using the training data, create described determining
Plan tree.
Alternatively, in a possible implementation of the present embodiment, the income unit 22 specifically can be used for root
According to the operation data and the order data of each Service Order, using the decision tree being pre-created and the decision tree
Attribute list, obtains the specified commerial vehicle and performs the path of each Service Order on the decision tree, Yi Jisuo
State the income vector of each non-leaf nodes in whole non-leaf nodes on path；And performed according to the specified commerial vehicle
Path of described each Service Order on the decision tree, and each non-leaf in whole non-leaf nodes on the path
The income vector of node, obtains the attribute income vector that the specified commerial vehicle performs each Service Order.
Alternatively, in a possible implementation of the present embodiment, the impact unit 23 specifically can be used for root
Receive to specify commerial vehicle to receive Service Order described in the attribute income vector sum of Service Order according to the specified commerial vehicle
Quantity, obtain the specified commerial vehicle receives factor vector；The category of Service Order is refused according to the specified commerial vehicle
Property income vector sum described in specify commerial vehicle to refuse the quantity of Service Order, obtain the refusal factor of the specified commerial vehicle
Vector；And according to the specified commerial vehicle receive factor vector sum described in specify commerial vehicle refusal factor vector,
Obtain the influence factor vector of the specified commerial vehicle.
It should be noted that method in the corresponding embodiments of Fig. 1, the process of the Service Order that can be provided by the present embodiment
Device is realized.Detailed description may refer to the related content in the corresponding embodiments of Fig. 1, and here is omitted.
In the present embodiment, the operation data and the specified commerial vehicle for specifying commerial vehicle are obtained by acquiring unit
The order data of each Service Order at least one Service Order, and then by income unit according to the operation data and described
The order data of each Service Order, using the decision tree being pre-created and the attribute list of the decision tree, obtains the finger
Determine the attribute income vector that commerial vehicle performs each Service Order so that impact unit can be according to the specified operation
Vehicle performs the attribute income vector of each Service Order, obtains the influence factor vector of the specified commerial vehicle, from
And realize the purpose that quantization influence commerial vehicle performs the factor of Service Order.
In addition, using technical scheme provided by the present invention, quantized result can be used for the operation behavior of commerial vehicle
Analysis, optimizes the Order splitting of online dial-a-cab, can effectively lift the experience of user.
Said method provided in an embodiment of the present invention and device to arrange and can run on the computer program in equipment
Embody.The equipment can include one or more processors, also including memory and one or more programs.Wherein this or
Multiple program storages in memory, by said one or multiple computing devices realizing shown in the above embodiment of the present invention
Method flow and/or device operation.For example, by said one or the method flow of multiple computing devices, can include：
Obtain each at least one Service Order for specify the operation data and the specified commerial vehicle of commerial vehicle
The order data of Service Order；
According to the operation data and the order data of each Service Order, using the decision tree and institute that are pre-created
The attribute list of decision tree is stated, the attribute income vector that the specified commerial vehicle performs each Service Order is obtained；
The attribute income vector of each Service Order, obtains the specified battalion according to the specified commerial vehicle is performed
The influence factor vector of fortune vehicle.
Those skilled in the art can be understood that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be described here.
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematic, for example, the unit
Divide, only a kind of division of logic function can have other dividing mode, such as multiple units or the page when actually realizing
Component can with reference to or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, show
The coupling each other shown or discuss or direct-coupling or communication connection can be by some interfaces, between device or unit
Connect coupling or communicate to connect, can be electrical, mechanical or other forms.
The unit as separating component explanation can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can according to the actual needs be selected to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be realized in the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit to realize.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in an embodied on computer readable and deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server, or network equipment etc.) or processor (processor) perform the present invention each
The part steps of embodiment methods described.And aforesaid storage medium includes：USB flash disk, portable hard drive, read-only storage (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
Can be with the medium of store program codes.
Finally it should be noted that：Above example only to illustrate technical scheme, rather than a limitation；Although
The present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those within the art that：It still may be used
To modify to the technical scheme described in foregoing embodiments, or equivalent is carried out to which part technical characteristic；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. a kind of processing method of Service Order, it is characterised in that include：
Obtain each service at least one Service Order for specify the operation data and the specified commerial vehicle of commerial vehicle
The order data of order；
According to the operation data and the order data of each Service Order, using the decision tree being pre-created and it is described certainly
The attribute list of plan tree, obtains the attribute income vector that the specified commerial vehicle performs each Service Order；
The attribute income vector of each Service Order, obtains the specified commercial vehicle according to the specified commerial vehicle is performed
Influence factor vector.
2. method according to claim 1, it is characterised in that described to be ordered according to the operation data and described each service
Single order data, using the decision tree being pre-created and the attribute list of the decision tree, obtains the specified commerial vehicle
Before performing the attribute income vector of each Service Order, also include：
Obtain the order data of each Service Order at least one Service Order produced by specified time range；
Obtain the operation data of the related commerial vehicle of described each Service Order；
By the operation data of the order data of each Service Order commerial vehicle related to described each Service Order,
As training data；
Using the training data, the decision tree is created.
3. method according to claim 1, it is characterised in that described to be ordered according to the operation data and described each service
Single order data, using the decision tree being pre-created and the attribute list of the decision tree, obtains the specified commerial vehicle
The attribute income vector of each Service Order is performed, including：
According to the operation data and the order data of each Service Order, using the decision tree being pre-created and it is described certainly
The attribute list of plan tree, obtains the specified commerial vehicle and performs the path of each Service Order on the decision tree,
And the income of each non-leaf nodes is vectorial in whole non-leaf nodes on the path；
Path of each Service Order on the decision tree according to the specified commerial vehicle is performed, and the path
The income vector of each non-leaf nodes in upper whole non-leaf nodes, obtains the specified commerial vehicle and performs described each clothes
The attribute income vector of business order.
4. method according to claim 1, it is characterised in that it is described according to the specified commerial vehicle is performed each
The attribute income vector of Service Order, obtains the influence factor vector of the specified commerial vehicle, including：
Commerial vehicle is specified to receive service according to the attribute income vector sum that the specified commerial vehicle receives Service Order
The quantity of order, obtain the specified commerial vehicle receives factor vector；
Commerial vehicle refusal service is specified according to the attribute income vector sum of the specified commerial vehicle refusal Service Order
The quantity of order, obtains the refusal factor vector of the specified commerial vehicle；
According to the specified commerial vehicle receive factor vector sum described in specify commerial vehicle refusal factor vector, obtain institute
State the influence factor vector of specified commerial vehicle.
5. the method according to Claims 1 to 4 any claim, it is characterised in that the quantity of the decision tree is N, N
It is the integer more than or equal to 1.
6. a kind of processing meanss of Service Order, it is characterised in that include：
Acquiring unit, orders for obtaining at least one service of operation data and the specified commerial vehicle of specified commerial vehicle
The order data of each Service Order in list；
Income unit, for according to the order data of the operation data and each Service Order, using what is be pre-created
Decision tree and the attribute list of the decision tree, obtain the attribute receipts that the specified commerial vehicle performs each Service Order
Beneficial vector；
Unit is affected, for the attribute income vector of each Service Order according to the specified commerial vehicle execution, is obtained
The influence factor vector of the specified commerial vehicle.
7. device according to claim 6, it is characterised in that the income unit, is additionally operable to
Obtain the order data of each Service Order at least one Service Order produced by specified time range；
Obtain the operation data of the related commerial vehicle of described each Service Order；
By the operation data of the order data of each Service Order commerial vehicle related to described each Service Order,
As training data；And
Using the training data, the decision tree is created.
8. device according to claim 6, it is characterised in that the income unit, specifically for
According to the operation data and the order data of each Service Order, using the decision tree being pre-created and it is described certainly
The attribute list of plan tree, obtains the specified commerial vehicle and performs the path of each Service Order on the decision tree,
And the income of each non-leaf nodes is vectorial in whole non-leaf nodes on the path；And
Path of each Service Order on the decision tree according to the specified commerial vehicle is performed, and the path
The income vector of each non-leaf nodes in upper whole non-leaf nodes, obtains the specified commerial vehicle and performs described each clothes
The attribute income vector of business order.
9. device according to claim 6, it is characterised in that the impact unit, specifically for
Commerial vehicle is specified to receive service according to the attribute income vector sum that the specified commerial vehicle receives Service Order
The quantity of order, obtain the specified commerial vehicle receives factor vector；
Commerial vehicle refusal service is specified according to the attribute income vector sum of the specified commerial vehicle refusal Service Order
The quantity of order, obtains the refusal factor vector of the specified commerial vehicle；And
According to the specified commerial vehicle receive factor vector sum described in specify commerial vehicle refusal factor vector, obtain institute
State the influence factor vector of specified commerial vehicle.
10. the device according to claim 6～9 any claim, it is characterised in that the quantity of the decision tree is N,
N is the integer more than or equal to 1.
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| CN201710000762.5A CN106651213B (en) | 2017-01-03 | 2017-01-03 | Service order processing method and device |
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