CN109685411A - A kind of share-car matching process of logistics shipping platform - Google Patents
A kind of share-car matching process of logistics shipping platform Download PDFInfo
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Abstract
The invention discloses a kind of share-car matching process of logistics shipping platform, include the following steps: that logistics e-commerce platform receives the transport request for the accumulative small lot cargo less than unit vehicle dead weight that multiple owners of cargo initiate;Logistics shipping platform is according to the information of freight source of the multidigit owner of cargo and the information of vehicles Proper Match share-car scheme of car owner;Logistics shipping platform issues logistics transport power group purchase information in platform website, and is pushed to the mobile terminal device of the car owner for the vehicle that meets the requirements;The present invention helps to obtain optimal share-car scheme, and the share-car scheme is published on the car owner that platform website and being pushed to meets matching condition;Solve the problems, such as that the owner of cargo of the small lot source of goods seeks vehicle difficulty and car owner integrates stowage hardly possible, the conevying efficiency and cargo charging ratio of car owner can be improved, can be reduced the transportation cost of the owner of cargo again, rationally and expeditiously carry out share-car, promote logistic resources effectively integrate and reasonable disposition.
Description
Technical field
The invention belongs to the internet big data information analysis techniques fields of logistics transportation electric business platform, and in particular to a kind of
The share-car matching process of logistics shipping platform.
Background technique
With the fast development of logistic industry and electronic information technology, logistics and transportation industry contacts increasingly close with e-commerce
It cuts, a large amount of owners of cargo and car owner are traded by the service that logistics transportation transaction e business platform provides, this is to a certain degree
The upper owner of cargo for solving the problems, such as the small lot source of goods seeks vehicle difficulty and the reasonable stowage of car owner is difficult.
Although being difficult to suitable to multiple small lot sources of goods currently, existing logistics platform can find the vehicle for being suitble to match
Share-car transport is carried out with car owner, the conevying efficiency and charging ratio of car owner can neither be improved, the transportation cost of the owner of cargo can not be reduced.
Share-car matching process, which refers to, the share-car scheme for being suitble to multiple small lot sources of goods of share-car transport is screened for car owner, makes vehicle
Master is successively loaded the source of goods of the owner of cargo.Therefore, logistics shipping platform needs a kind of share-car matching process to carry out rationally and high
Efficient share-car improves cargo charging ratio and the conevying efficiency of car owner, reduces the transportation cost of the owner of cargo, make the effective of logistic resources
It integrates and distributes rationally.
Summary of the invention
The purpose of the present invention is to provide a kind of share-car matching process of logistics shipping platform, to solve above-mentioned background technique
The small lot source of goods for the owners of cargo most in existing logistics shipping platform of middle proposition cannot find car owner's transport, Huo Zhuyun in time
Problem defeated at high cost and that cargo charging ratio is low, on the basis of considering the connection between the owner of cargo, car owner and platform, root
According to the data collection of platform, processing and application power, a kind of share-car matching process of logistics shipping platform is provided.
To achieve the above object, the invention provides the following technical scheme: a kind of share-car matching process of logistics shipping platform,
Include the following steps:
Step 1: it is accumulative less than unit vehicle dead weight to receive that the multiple owners of cargo initiate for logistics e-commerce platform
The transport request of small lot cargo;
Step 2: logistics shipping platform is according to the information of freight source of the multidigit owner of cargo and the information of vehicles Proper Match share-car of car owner
Scheme;
Step 3: logistics shipping platform issues logistics transport power group purchase information in platform website, and is pushed to and meets the requirements
The mobile terminal device of the car owner of vehicle.
As a preferred technical solution of the invention, the source of goods of the position for obtaining car owner and first owner of cargo are opened
The time that the path is consumed is completed as No.1 path in fortune ground, the path for starting shipment ground using the source of goods for generating car owner to first owner of cargo
For No.1 predicted time t1;
The source of goods for obtaining second owner of cargo starts shipment ground, is with the path that the source of goods for generating car owner to second owner of cargo starts shipment ground
No. two paths, completing the time that the path is consumed is No. two predicted time t2;
The source of goods destination of first owner of cargo is obtained, arrives source of goods destination with starting shipment to generate the source of goods of first owner of cargo
Path is No. three paths, and completing the time that the path is consumed is No. three predicted time t3;
The source of goods destination of second owner of cargo is obtained, arrives source of goods destination with starting shipment to generate the source of goods of second owner of cargo
Path is No. four paths, and the cargo for obtaining first owner of cargo when carrying out share-car to the cargo of second owner of cargo arrives at the destination institute
The time of consumption is No. four predicted time t4, i.e. second owner of cargo's source of goods start shipment to first owner of cargo's source of goods destination consumed when
Between;
Obtain No.1 predicted time t1, No. two predicted time t2, No. three predicted time t3, No. four predicted time t4, by No.1
The sum of predicted time and No. three predicted times divided by No. two predicted times and No. four predicted times and, i.e.,If the meter
The threshold value that result is less than setting is calculated, then the cargo of first owner of cargo and the cargo of second owner of cargo can carry out share-car.
As a preferred technical solution of the invention, the No.1 predicted time t1, No. two predicted time t2, No. three
Predicted time t3, No. four predicted time t4The time prediction model in module is obtained with predicted time to obtain.
As a preferred technical solution of the invention, the predicted time obtains model and includes:
Obtaining the nearest successful History Order data collection of share-car of logistics shipping platform is training set;
Construction logic regression model;
Whether the runing time of decision logic regression model reaches the logistics shipping platform preset period, if logistic regression
The runing time of model reaches preset time period, then is trained to Logic Regression Models;
Logic Regression Models after application training obtain predicted time and obtain model.
As a preferred technical solution of the invention, the Logic Regression Models include:
Probability of dependent variable y under the action of one group of independent variable x is expressed as:
Probability of dependent variable y under the action of one group of independent variable x is expressed as:
Wherein, P indicates the probability of share-car successful match, b0,b1,b2,…,bm, θ expression regression coefficient, independent variable x expression
Predicted time of the car owner when the cargo for winning second owner of cargo carries out share-car, dependent variable y=1 indicate share-car successful match, because
Variable y=0 indicates share-car, and it fails to match.
As a preferred technical solution of the invention, the training carried out to Logic Regression Models includes: logistics
Shipping platform default a period of time utilizes the nearest period if the runing time of Logic Regression Models reaches preset time period
The historical data of share-car successful match Logic Regression Models are trained, and frequency of training is primary.
As a preferred technical solution of the invention, the preset time period can be arranged by number of days, all numbers, year,
And the length of the preset time period is adjustable.
As a preferred technical solution of the invention, when the Logic Regression Models after the application training obtain prediction
Between obtain model include: by car owner win second owner of cargo cargo carry out share-car when predicted time x substitute into training after
Logic Regression ModelsAnd it calculates separatelyWith
Logistics platform selects a threshold value c, ifThen y=1, i.e. share-car
With success, ifIt fails to match by then y=0, i.e. share-car;
The predicted time x of share-car successful match is found out, and obtains No.1 predicted time t respectively according to the method described above1, No. two
Predicted time t2, No. three predicted time t3, No. four predicted time t4。
As a preferred technical solution of the invention, the No.1 predicted time obtains module, and the module is for obtaining
The source of goods of the position and first owner of cargo of picking up the car main starts shipment position and starts shipment ground with the source of goods for generating car owner to first owner of cargo
Path is No.1 path, and completing the time that the path is consumed is No.1 predicted time t1;
No. two predicted times obtain module, which is used to obtain the position of car owner and the source of goods of second owner of cargo starts shipment ground
The path on ground is started shipment with the source of goods for generating car owner to second owner of cargo as No. two paths in position, and completing the time that the path is consumed is
No. two predicted time t2;
No. three predicted times obtain modules, the source of goods which is used to obtain first owner of cargo start shipment position with destination
Set with generate the source of goods of first owner of cargo start shipment to source of goods destination path for No. three paths, complete that the path consumed when
Between be No. three predicted time t3;
No. four predicted times obtain modules, the source of goods which is used to obtain second owner of cargo start shipment and destination locations
With generate the source of goods of second owner of cargo start shipment to source of goods destination path for No. four paths, and obtain to second owner of cargo's
The cargo of first owner of cargo arrives at the destination the consumed time as No. four predicted time t when cargo carries out share-car4, i.e. second goods
The time that the main source of goods is consumed with starting shipment to first owner of cargo's source of goods destination;
Share-car matching module, which is used to calculate No.1 predicted time and the sum of No. three predicted times is predicted divided by No. two
Time and No. four predicted times and, i.e.,If the calculated result is in the threshold range of setting, threshold range is according to tool
Body situation is configured, then the cargo of first owner of cargo and the cargo of second owner of cargo can carry out share-car, i.e., share-car matching at
Function.
Compared with prior art, the beneficial effects of the present invention are:
(1) present invention is less than asking for the small lot cargo of the dead weight of unit vehicle by the multiple owner of cargos' transports of reception
It asks, logistics shipping platform obtains model and logic according to predicted time in the historical data and share-car coalignment of platform database
Regression model judges and matches the owner of cargo of suitable share-car, obtains optimal share-car scheme, and the share-car scheme is published on platform net
It stands and is pushed to the car owner for meeting matching condition;
(2) it solves the problems, such as that the owner of cargo of the small lot source of goods seeks vehicle difficulty and car owner integrates stowage hardly possible, vehicle can be improved
Main conevying efficiency and cargo charging ratio, and can be reduced the transportation cost of the owner of cargo, share-car is carried out rationally and expeditiously, object is promoted
Stream resource effectively integrate and reasonable disposition.
Detailed description of the invention
Fig. 1 is a kind of share-car matching process flow chart of logistics shipping platform of one embodiment of the present of invention;
Fig. 2 is a kind of share-car matching process flow chart of logistics shipping platform of another embodiment of the invention;
Fig. 3 is that a kind of predicted time of the share-car matching process of logistics shipping platform of one embodiment of the invention obtains mould
Type flow diagram;
Fig. 4 is a kind of structural schematic diagram of the share-car coalignment of logistics shipping platform of one embodiment of the present of invention;
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 shows a kind of share-car matching process flow chart of logistics shipping platform according to an embodiment of the invention.
As shown in Figure 1, present embodiments providing a kind of share-car matching process of logistics shipping platform, specifically include as follows
Step:
In step s101, logistics shipping platform receives multiple owners of cargo and initiates the dead weight that transport is less than unit vehicle
Small lot cargo request;Specifically, the multidigit owner of cargo initiates transport less than unit transport vehicle by mobile terminal device
The request of the small lot cargo of dead weight, logistics e-commerce platform receives the transport request, for example, the owner of cargo passes through movement
Terminal device inputs information of freight source, including cargo type, quantity of goods, goods weight, measurement of cargo, vehicle to logistics shipping platform
Type requires, starts shipment ground, destination, loading time, goods receiving time and owner of cargo's freight quotation total amount etc.;Wherein, in logistics electronics
After the network equipment of business platform receives the source of goods transport request of owner of cargo's initiation, can be included according to the source of goods transport request
Information, determine the owner of cargo specify logistics transportation type of vehicle;
In step s 102, logistics shipping platform is according to the information of freight source of the multidigit owner of cargo and the information of vehicles of car owner reasonable
With share-car scheme;Specifically, logistics shipping platform initiates the request of transport small lot cargo transport according to the multidigit owner of cargo, generates goods
Source information, the owner's vehicle information of extraction platform database, including type of vehicle, nominal load capacity, compartment length, width and height, Yi Jiche
The information such as main route or travel by vehicle, the vehicle residue loading capacity being arranged on platform, and pass through share-car matching process Proper Match
Share-car scheme between the multidigit owner of cargo and single car owner.
In step s 103, logistics shipping platform issues logistics transport power group purchase information in platform website, and is pushed to symbol
Close the mobile terminal device for requiring the car owner of vehicle.
Fig. 2 shows a kind of share-car matching process flow charts of logistics shipping platform of another embodiment according to the present invention.
As shown in Fig. 2, present embodiments providing a kind of share-car matching process of logistics shipping platform, specifically include as follows
Step:
In step s 201, the source of goods of the position and first owner of cargo that obtain car owner starts shipment ground, to generate car owner to first
The path that the source of goods of a owner of cargo starts shipment ground is No.1 path, and completing the time that the path is consumed is No.1 predicted time t1;Specifically
, since the path difference that travels when car owner plucks goods is there may be a plurality of No.1 path in reality, such as car owner choose distance away from
The path most unobstructed from shortest path, time-consuming least path, road, but due to mainly considering share-car in the embodiment of the present invention
Time-consuming problem, so choosing time-consuming least path as the No.1 path studied;Wherein, completion No.1 path is consumed minimum
Time is No.1 predicted time t1, host vehicle in No.1 path is obtained according to the historical data of logistics shipping platform and runs over this
The average speed in path, and No.1 path whether can share-car pass through predicted time obtain model in Logic Regression Models judgement
It obtains, judges whether to be incorporated to share-car collection, if the path enters to share-car collection, and predict that No.1 is pre- by the Logic Regression Models
Survey time t1;
In step S202, obtain second owner of cargo the source of goods start shipment ground, with generate car owner to second owner of cargo the source of goods
The path for starting shipment ground is No. two paths, and completing the time that the path is consumed is No. two predicted time t2;
In step S203, the source of goods destination of first owner of cargo is obtained, starts shipment ground to generate the source of goods of first owner of cargo
Path to source of goods destination is No. three paths, and completing the time that the path is consumed is No. three predicted time t3;
In step S204, the source of goods destination of second owner of cargo is obtained, starts shipment ground to generate the source of goods of second owner of cargo
Path to source of goods destination is No. four paths, and obtains the goods of first owner of cargo when carrying out share-car to the cargo of second owner of cargo
Object arrives at the destination the consumed time as No. four predicted time t4, i.e. second owner of cargo's source of goods start shipment to first owner of cargo's source of goods
The time that destination is consumed;Specifically, when share-car, if the cargo of first owner of cargo first reaches mesh than the cargo of second owner of cargo
Ground, then the destination of first owner of cargo is on No. three paths;If the cargo of second owner of cargo is more first than the cargo of first owner of cargo
It arrives at the destination, then the destination of first owner of cargo can not passed through on No. three paths and when transporting the cargo of first owner of cargo
No. three paths;
In step S204, the time prediction model in module is obtained with predicted time and obtains No.1 predicted time t1、
No. two predicted time t2, No. three predicted time t3, No. four predicted time t4, predicted time obtain module will be explained in detail in Fig. 3
It states, details are not described herein, is incorporated herein by reference;
It is in step S205, the sum of No.1 predicted time and No. three predicted times is pre- divided by No. two predicted times and No. four
The sum of time is surveyed, i.e.,If the calculated result is less than the threshold value of setting, the cargo of first owner of cargo and second owner of cargo
Cargo can carry out share-car.
Fig. 3 shows a kind of predicted time of the share-car matching process of logistics shipping platform according to an embodiment of the invention
Obtain model flow schematic diagram.
As shown in figure 3, the predicted time for present embodiments providing a kind of share-car matching process of logistics shipping platform obtains
Model specifically comprises the following steps:
In step S301, obtaining the nearest successful History Order data collection of share-car of logistics shipping platform is training
Collection, the training data can be expressed as D=(x1,y1),(x2,y2),…,(xN,yN), wherein x1It is the vector of m dimension, i.e.,Y value in { 0,1 } indicates positive and negative two;Wherein, historical data refers to according to the present invention
A kind of share-car matching process success matched data of share-car of embodiment, and with the increase of share-car successful match number, history
Data increase, then the numerical accuracy obtained by the training of historical data training set is higher;
In step s 302, construction logic regression model, the knot that dependent variable y is occurred under the action of one group of independent variable x
Fruit assignment rule are as follows: as dependent variable y=1, the probability of share-car successful match is indicated with P;As y=0, share-car is indicated with 1-P
The probability that it fails to match;Predicted time of the car owner when the cargo for winning second owner of cargo carries out share-car is denoted as x;
Logic Regression Models are indicated with following formula:
b0,b1,b2,…,bm, it is the numerical value obtained by the training of historical data training set that θ, which indicates regression coefficient, so,
Dependent variable y probability of share-car successful match under the action of one group of independent variable x is expressed as:
Wherein x indicates that input variable meets the time window requirement of first owner of cargo in embodiments of the present invention, and y=1 is indicated
Share-car successful match, the formula indicate to carry out share-car in the case where the time window for meeting first owner of cargo requires and successful match
Probability;
Dependent variable y share-car probability that it fails to match under the action of one group of independent variable x is expressed as:
Wherein, it fails to match for y=0 expression share-car, which indicates the case where the time window for meeting first owner of cargo requires
The lower progress share-car probability that it fails to match;
In step S303, logistics shipping platform default a period of time, the preset time period can be pressed in the embodiment of the present invention
Number of days, all numbers, year setting, and the length of the preset time period is adjustable, such as can be become from one day two days, using most
The historical data of the share-car successful match of nearly period is to Logic Regression Models re -training, the operation of decision logic regression model
Whether it is the Logic Regression Models trained in nearest preset time period that whether the time reaches preset time period i.e., if logic is returned
Return the runing time of model to reach preset time period, then Logic Regression Models be trained, and frequency of training be it is primary, that is, obtain
It takes the historical data training set of the share-car successful match in preset time period to carry out training, the Logic Regression Models after training is answered
Use logistics shipping platform;Wherein, the training historical data training set of the share-car successful match in preset time period carried out
Training set, independent variable, dependent variable can be imported into SPSS software, calculate Logic Regression Models by SPSS software realizationRegression coefficient b0,b1,b2,…,bm, by gained regression coefficient
Value substitutes into
I.e. training is completed;
In step s 304, the Logic Regression Models after application training obtain predicted time and obtain model, and car owner is being plucked
Predicted time x when the cargo of second owner of cargo being taken to carry out share-car substitutes into the Logic Regression Models after trainingAnd it calculates separately
With
Logistics platform selects a threshold value c, and when practical application, different threshold values may be selected in specific situation, and example is to accuracy
It is required that can choose biggish threshold value when high, ifThen y=1, i.e. share-car matching
Success, ifIt fails to match by then y=0, i.e. share-car;Find out share-car successful match
Predicted time x, and obtain No.1 predicted time t respectively according to the method described above1, No. two predicted time t2, No. three predicted time t3、
No. four predicted time t4;
The structure that Fig. 4 shows a kind of share-car coalignment of logistics shipping platform according to an embodiment of the invention is shown
It is intended to;
As shown in figure 4, specifically, the share-car coalignment of logistics shipping platform includes:
No.1 predicted time obtains module S401, which is used to obtain the position of car owner and the source of goods of first owner of cargo opens
The path that fortune position starts shipment ground using the source of goods for generating car owner to first owner of cargo as No.1 path, complete that the path consumed when
Between be No.1 predicted time t1;
No. two predicted times obtain module S402, which is used to obtain the position of car owner and the source of goods of second owner of cargo opens
The path that fortune position starts shipment ground with the source of goods for generating car owner to second owner of cargo for No. two paths, complete that the path consumed when
Between be No. two predicted time t2;
No. three predicted times obtain module S403, the source of goods which is used to obtain first owner of cargo start shipment and destination
Position with generate the source of goods of first owner of cargo start shipment to source of goods destination path be No. three paths, complete the path and consumed
Time be No. three predicted time t3;
No. four predicted times obtain module S404, the source of goods which is used to obtain second owner of cargo start shipment and destination
The path of source of goods destination is arrived to generate the source of goods of second owner of cargo as No. four paths with starting shipment in position, and obtains to second goods
The cargo of first owner of cargo arrives at the destination the consumed time as No. four predicted time t when main cargo carries out share-car4, i.e., second
The time that a owner of cargo's source of goods is consumed with starting shipment to first owner of cargo's source of goods destination;
Share-car matching module S405, the module are used to calculate the sum of No.1 predicted time and No. three predicted times divided by No. two
Predicted time and No. four predicted times and, i.e.,If the calculated result is less than the threshold value of setting, the embodiment of the present invention
Threshold range can be configured as the case may be, and the range of threshold value of the embodiment of the present invention is [2/3,1], then first owner of cargo
Cargo and the cargo of second owner of cargo can carry out share-car, i.e. share-car successful match;
The share-car coalignment of logistics shipping platform contains predicted time and obtains module, i.e. No.1 predicted time obtains mould
Block, No. two predicted times obtain module, No. three predicted times obtain module, No. four predicted times obtain module, are obtained by calculating
The predicted time in each path is obtained, predicted time obtains model and illustrates that this will not be repeated here by Fig. 3.
The present invention is less than the request of the small lot cargo of the dead weight of unit vehicle by the multiple owner of cargos' transports of reception,
Logistics shipping platform obtains model according to predicted time in the historical data and share-car coalignment of platform database and logic is returned
Return model to judge and match the owner of cargo of suitable share-car, obtains optimal share-car scheme;And the share-car scheme is published on platform website
And it is pushed to the car owner for meeting matching condition;The owner of cargo that this share-car order matching process and system solve the small lot source of goods seeks vehicle
Difficult and car owner integrates the problem of stowage hardly possible, can improve the conevying efficiency and cargo charging ratio and goods of car owner
Main transportation cost carries out rationally and expeditiously share-car.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (9)
1. a kind of share-car matching process of logistics shipping platform, which comprises the steps of:
Step 1: logistics e-commerce platform receives the accumulative small quantities of less than unit vehicle dead weight of multiple owner of cargos' initiations
Measure the transport request of cargo;
Step 2: logistics shipping platform is according to the information of freight source of the multidigit owner of cargo and the information of vehicles Proper Match share-car side of car owner
Case;
Step 3: logistics shipping platform issues logistics transport power group purchase information in platform website, and is pushed to the vehicle that meets the requirements
Car owner mobile terminal device.
2. a kind of share-car matching process of logistics shipping platform according to claim 1, it is characterised in that: the acquisition vehicle
The source of goods of main position and first owner of cargo start shipment ground, start shipment the path on ground with the source of goods for generating car owner to first owner of cargo as one
Number path, completing the time that the path is consumed is No.1 predicted time t1;
The source of goods for obtaining second owner of cargo starts shipment ground, starts shipment the path on ground with the source of goods for generating car owner to second owner of cargo as No. two
Path, completing the time that the path is consumed is No. two predicted time t2;
The source of goods destination of first owner of cargo is obtained, to generate the path that the source of goods of first owner of cargo arrives source of goods destination with starting shipment
For No. three paths, completing the time that the path is consumed is No. three predicted time t3;
The source of goods destination of second owner of cargo is obtained, to generate the path that the source of goods of second owner of cargo arrives source of goods destination with starting shipment
For No. four paths, and the cargo that obtains first owner of cargo when carrying out share-car to the cargo of second owner of cargo is arrived at the destination and is consumed
Time is No. four predicted time t4, i.e. time that second owner of cargo's source of goods is consumed with starting shipment to first owner of cargo's source of goods destination;
Obtain No.1 predicted time t1, No. two predicted time t2, No. three predicted time t3, No. four predicted time t4, No.1 is predicted
The sum of time and No. three predicted times divided by No. two predicted times and No. four predicted times and, i.e.,If the calculating knot
Fruit is less than the threshold value of setting, then the cargo of first owner of cargo and the cargo of second owner of cargo can carry out share-car.
3. a kind of share-car matching process of logistics shipping platform according to claim 2, it is characterised in that: the No.1 is pre-
Survey time t1, No. two predicted time t2, No. three predicted time t3, No. four predicted time t4Obtained in module with predicted time
Time prediction model obtain.
4. a kind of share-car matching process of logistics shipping platform according to claim 3, it is characterised in that: when the prediction
Between obtain model include:
Obtaining the nearest successful History Order data collection of share-car of logistics shipping platform is training set;
Construction logic regression model;
Whether the runing time of decision logic regression model reaches the logistics shipping platform preset period, if Logic Regression Models
Runing time reach preset time period, then Logic Regression Models are trained;
Logic Regression Models after application training obtain predicted time and obtain model.
5. a kind of share-car matching process of logistics shipping platform according to claim 4, it is characterised in that: the logic is returned
The model is returned to include:
Probability of dependent variable y under the action of one group of independent variable x is expressed as:
Probability of dependent variable y under the action of one group of independent variable x is expressed as:
Wherein, P indicates the probability of share-car successful match, b0,b1,b2,…,bm, θ indicate regression coefficient, independent variable x indicate car owner exist
The predicted time when cargo progress share-car of second owner of cargo is won, dependent variable y=1 indicates share-car successful match, dependent variable y=
0 indicates share-car, and it fails to match.
6. a kind of share-car matching process of logistics shipping platform according to claim 4, it is characterised in that: described to logic
The training that regression model carries out includes: logistics shipping platform default a period of time, if the runing time of Logic Regression Models reaches
Preset time period is then trained Logic Regression Models using the historical data of the share-car successful match of nearest period, and
Frequency of training is primary.
7. a kind of share-car matching process of logistics shipping platform according to claim 6, it is characterised in that: when described default
Between section can be arranged by number of days, all numbers, year, and the length of the preset time period is adjustable.
8. a kind of share-car matching process of logistics shipping platform according to claim 6, it is characterised in that: the application instruction
It includes: to spell car owner in the cargo for winning second owner of cargo that Logic Regression Models after white silk, which obtain predicted time and obtain model,
Predicted time x when vehicle substitutes into the Logic Regression Models after training
And it calculates separatelyWith
Logistics platform selects a threshold value c, ifThen y=1, i.e. share-car matching at
Function, ifIt fails to match by then y=0, i.e. share-car;
The predicted time x of share-car successful match is found out, and obtains No.1 predicted time t respectively according to the method described above1, No. two predictions
Time t2, No. three predicted time t3, No. four predicted time t4。
9. a kind of share-car matching process of logistics shipping platform according to claim 8, it is characterised in that: the No.1 is pre-
Time-obtaining module is surveyed, which is used to obtain the position of car owner and the source of goods of first owner of cargo starts shipment position to generate car owner
The source of goods to first owner of cargo starts shipment the path on ground as No.1 path, and completing the time that the path is consumed is No.1 predicted time
t1;
No. two predicted times obtain module, which is used to obtain the position of car owner and the source of goods of second owner of cargo starts shipment position
For No. two paths, completing the time that the path is consumed is No. two in the path for starting shipment ground with the source of goods for generating car owner to second owner of cargo
Predicted time t2;
No. three predicted times obtain modules, the source of goods which is used to obtain first owner of cargo start shipment with the position of destination with
The source of goods for generating first owner of cargo to the path of source of goods destination is No. three paths with starting shipment, and completing the time that the path is consumed is
No. three predicted time t3;
No. four predicted times obtain modules, the source of goods which is used to obtain second owner of cargo start shipment with destination locations with life
The path of source of goods destination is arrived at the source of goods of second owner of cargo with starting shipment be No. four paths, and obtains the cargo to second owner of cargo
The cargo of first owner of cargo arrives at the destination the consumed time as No. four predicted time t when carrying out share-car4, i.e. second owner of cargo's goods
The time that source is consumed with starting shipment to first owner of cargo's source of goods destination;
Share-car matching module, the module are used to calculate the sum of No.1 predicted time and No. three predicted times divided by No. two predicted times
With No. four predicted times and, i.e.,If the calculated result, in the threshold range of setting, threshold range is according to specific feelings
Condition is configured, then the cargo of first owner of cargo and the cargo of second owner of cargo can carry out share-car, i.e. share-car successful match.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112053101A (en) * | 2020-10-25 | 2020-12-08 | 镇江九方供应链管理有限公司 | Supply chain coordination operation method in combined transportation mode |
CN112561452A (en) * | 2021-02-19 | 2021-03-26 | 深圳普罗空运有限公司 | Goods tracking method based on international air transportation logistics APP |
CN113139765A (en) * | 2020-01-20 | 2021-07-20 | ***通信集团辽宁有限公司 | Logistics recommendation method and device based on temporal network and computing equipment |
CN113807759A (en) * | 2020-06-12 | 2021-12-17 | 口口赛路株式会社 | Deep learning-based freight rate determination method and device |
CN114742503A (en) * | 2022-04-14 | 2022-07-12 | 广州市汇算新代信息技术有限公司 | Intelligent logistics car sharing method and device based on deep learning |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104866997A (en) * | 2015-06-10 | 2015-08-26 | 南京大学 | Intelligent pairing method applied to online stowage of vehicles and goods |
CN106709688A (en) * | 2017-01-03 | 2017-05-24 | 南京大学 | Vehicle pooling method of freight vehicle-pooling platform |
-
2018
- 2018-11-16 CN CN201811366306.3A patent/CN109685411A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104866997A (en) * | 2015-06-10 | 2015-08-26 | 南京大学 | Intelligent pairing method applied to online stowage of vehicles and goods |
CN106709688A (en) * | 2017-01-03 | 2017-05-24 | 南京大学 | Vehicle pooling method of freight vehicle-pooling platform |
Non-Patent Citations (1)
Title |
---|
胡觉亮等: "基于TS算法的公路干线货运平台车货匹配研究", 《浙江理工大学学报(社会科学版)》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113139765A (en) * | 2020-01-20 | 2021-07-20 | ***通信集团辽宁有限公司 | Logistics recommendation method and device based on temporal network and computing equipment |
CN113139765B (en) * | 2020-01-20 | 2023-12-12 | ***通信集团辽宁有限公司 | Logistics recommendation method and device based on temporal network and computing equipment |
CN113807759A (en) * | 2020-06-12 | 2021-12-17 | 口口赛路株式会社 | Deep learning-based freight rate determination method and device |
CN112053101A (en) * | 2020-10-25 | 2020-12-08 | 镇江九方供应链管理有限公司 | Supply chain coordination operation method in combined transportation mode |
CN112561452A (en) * | 2021-02-19 | 2021-03-26 | 深圳普罗空运有限公司 | Goods tracking method based on international air transportation logistics APP |
CN114742503A (en) * | 2022-04-14 | 2022-07-12 | 广州市汇算新代信息技术有限公司 | Intelligent logistics car sharing method and device based on deep learning |
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