CN108416559B - Intelligent carpooling matching method for maximizing vehicle owner income of freight platform - Google Patents

Intelligent carpooling matching method for maximizing vehicle owner income of freight platform Download PDF

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CN108416559B
CN108416559B CN201810350654.5A CN201810350654A CN108416559B CN 108416559 B CN108416559 B CN 108416559B CN 201810350654 A CN201810350654 A CN 201810350654A CN 108416559 B CN108416559 B CN 108416559B
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李敬泉
金斯瑶
洪思聪
刘云飞
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Jiangsu Fuli Logistics Technology Co ltd
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Abstract

The invention relates to an intelligent carpooling matching method for maximizing the income of a freight platform car owner, which comprises the following steps: the method comprises the steps that a shipper issues car sharing information on a car sharing platform; car sharing information on the platform is extracted and classified into static information and dynamic information; the method comprises the steps of extracting owner information on a platform, classifying the owner information into static information and dynamic information; screening out a goods owner meeting the car sharing conditions according to the static information and the dynamic information in the car sharing information, and forming an intelligent car sharing scheme according to the principle of maximizing the income of the car owner; pushing the intelligent car sharing scheme to the car owners meeting the screening conditions; and calculating the car sharing income of the car owner and starting car sharing. According to the invention, the optimal car pooling set is matched by the owner of the goods with car pooling willingness under the condition of meeting the optimal constraint condition of the system, so that the high-efficiency car pooling can be ensured, the transportation cost of the owner of the goods can be saved, and the loading rate of a driver can be improved.

Description

Intelligent carpooling matching method for maximizing vehicle owner income of freight platform
Technical Field
The invention relates to the field of intelligent pairing of network logistics freight platforms, in particular to an intelligent carpooling matching method for maximizing the vehicle owner income of a freight platform, which is suitable for matching information of a freight owner and a vehicle owner through a network logistics freight platform and intelligently recommending an income maximizing carpooling scheme for the vehicle owner.
Background
With the continuous development of information technology, the network freight platform gradually moves to the market, and the problem of high air load rate is effectively solved. Due to the appearance of the network freight platform, the freight transportation is not only finished vehicle transportation, but also an intelligent freight car sharing method can be provided. However, the vehicle has limiting factors such as weight and the like, the vehicle owner needs to optimally select according to the self cargo capacity and the price provided by the cargo owner, and the current platform only selects a carpooling scheme for the vehicle owner according to the carpooling possibility and does not consider the actual profit factor of the vehicle owner. Under the background, the logistics freight platform needs a car sharing scheme calculation method for maximizing the profits of car owners of the freight platform, which automatically provides a profit maximization scheme for the car owners, and improves the profits of the car owners and the sharing success rate of the freight platform.
Disclosure of Invention
The invention aims to provide an intelligent carpooling matching method for maximizing the vehicle owner income of a freight platform, and the optimal profit carpooling method not only increases the vehicle owner profit of the freight platform, but also improves the carpooling success rate of the freight platform.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an intelligent carpooling matching method for maximizing the income of a freight platform car owner comprises the following steps:
the method comprises the following steps: the method comprises the steps that a shipper issues car sharing information on a car sharing platform;
step two: car sharing information on the platform is extracted and classified into static information and dynamic information;
step three: the method comprises the steps of extracting owner information on a platform, classifying the owner information into static information and dynamic information;
step four: screening out a goods owner meeting the car sharing conditions according to the static information and the dynamic information in the car sharing information, and forming an intelligent car sharing scheme according to the principle of maximizing the income of the car owner;
step five: pushing the intelligent car sharing scheme to the car owners meeting the screening conditions;
step six: and calculating the car sharing income of the car owner and starting car sharing.
Further, the car pooling information in the first step comprises: cargo information: goods name, goods type, goods quantity, weight, volume, motorcycle type information: the requirements of vehicle type and vehicle length, and the transportation requirements are as follows: departure, destination, delivery time, receipt time, and shipping price.
Further, the static information in the car pooling information comprises: cargo type, cargo weight, vehicle type requirement, departure location, destination, and shipping price, the dynamic information comprising: delivery time and receipt time.
Further, the owner information in step three includes: basic information of the vehicle: vehicle type, compartment length, width and height, rated load, car purchasing date, trailer axle, engine number and vehicle photo, and owner's personal basic information: contact, identity information and driver's license information, car owner platform sets up information: the system comprises a vehicle running route and residual load, wherein basic information of the vehicle and personal basic information of a vehicle owner are static information, and platform setting information of the vehicle owner is dynamic information.
Further, the specific method of the intelligent car pooling scheme in the fourth step is as follows:
step 4.1: forming a first to-be-matched set by the non-carpooling successful owners;
step 4.2: screening the goods owners matched with the car owner information from the first to-be-matched set to form a second to-be-matched set according to the static information and the dynamic information of the car sharing information;
step 4.3: according to the dynamic information of the owner information, selecting the owners one by one from the second to-be-matched set to judge whether the owners are suitable for carpooling, and forming a third to-be-matched set by the owners with the goods weight smaller than the residual load of the owners;
step 4.4: for the third matching set owner, according to the formula for calculating the value per unit weight
Figure BDA0001633139400000021
Performing a calculation in which ViA shipping price issued for the owner; wiThe weight of the goods issued to the owner and PiThe values are sorted in descending order from high to low;
step 4.5: according to PiAnd selecting goods from high to low until the car sharing is completed to form a car sharing scheme.
Further, the calculation formula of the car sharing income of the car owner in the sixth step is as follows:
Figure BDA0001633139400000022
compared with the prior art, the invention aims at the problem that logistics cost is high due to high freight transportation no-load rate at present, and sets up a scientific carpooling model under the condition of fully considering a plurality of important factors influencing whether successful carpooling can be realized, thereby providing a scientific and efficient method for freight transportation carpooling. According to the method, the optimal car sharing set is matched under the condition that the optimal constraint condition of the system is met according to the related information of the starting place, the destination, the type and the weight of the goods, the time required to reach the destination and the like of the owner with car sharing intentions, the optimal distribution is realized on the premise that the benefit of each owner is guaranteed, and the cost calculation method for enabling the owner of each car sharing to have the lowest cost is found. The invention can ensure high-efficiency carpooling, save the transportation cost of a goods owner and improve the loading rate of a driver.
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FIG. 1 is a flow chart of the intelligent carpooling matching method for maximizing the vehicle owner income of the freight platform of the invention;
FIG. 2 is a flow chart of an implementation of the freight platform owner benefit maximization intelligent car pooling matching method.
Detailed Description
The technical solution of the present invention will be further described in detail with reference to the accompanying drawings and the detailed description.
With reference to fig. 1 and fig. 2, the intelligent carpooling matching method for maximizing the owner income of a freight platform vehicle comprises the following steps:
the method comprises the following steps: the owner of goods publishes the car-sharing information at the car-sharing platform, and the car-sharing information comprises: cargo information: goods name, goods type, goods quantity, weight and volume; vehicle type information: vehicle type requirements and vehicle length requirements; transportation requirements are as follows: departure, destination, delivery time, receipt time, and shipping price.
Step two: and (4) extracting the car sharing information on the platform, and classifying the car sharing information into static information and dynamic information. The goods type, the goods weight, the vehicle type requirement, the starting place, the destination and the freight price are static information, and the delivery time and the receiving time are dynamic information.
Table 1 shows the owner information of the examples
Figure BDA0001633139400000031
Figure BDA0001633139400000041
Step three: and extracting the owner information on the platform, classifying the owner information into static information and dynamic information. The vehicle owner information includes: basic information of the vehicle: vehicle type, compartment length, width and height, rated load, car purchasing date, trailer axle, engine number and vehicle photo, and owner's personal basic information: contact, identity information and driver's license information, car owner platform sets up information: the system comprises a vehicle running route and residual load, wherein basic information of the vehicle and personal basic information of a vehicle owner are static information, and platform setting information of the vehicle owner is dynamic information.
Table 2 shows owner information of vehicle in the example
Vehicle owner Vehicle model Residual load Real-time location Planned destination
Vehicle owner 1 Flat car 30 Mussel port Shanghai province
Step four: according to the static information and the dynamic information in the car sharing information, screening out the owner of goods who accords with the car sharing condition, and forming the intelligent car sharing scheme according to the car owner income maximization principle, the concrete intelligent car sharing scheme is as follows: each cargo is counted as xiAssume that a truck is loaded at 30 tons.
Step 4.1: forming a first to-be-matched set by a non-carpooling successful owner comprising an owner 1, an owner 2, an owner 3, an owner 4, an owner 5, an owner 6, an owner 7 and an owner 8;
step 4.2: screening the goods owners matched with the car owner information from the first to-be-matched set to form a second to-be-matched set according to the static information and the dynamic information of the car sharing information;
screening out the shipper 5 if the vehicle type requirement of the car sharing information of the shipper 5 and the static information of the starting place do not accord with those of the vehicle owner 1; if the delivery time and the receiving time of the car sharing information of the cargo owner 6 are inconsistent with the dynamic information of the car owner 1, screening out the cargo owner 6, and finally forming a second to-be-matched set by the cargo owner 1, the cargo owner 2, the cargo owner 3, the cargo owner 4, the cargo owner 7 and the cargo owner 8;
step 4.3: according to the dynamic information of the owner information, selecting the owners one by one from the second to-be-matched set to judge whether the owners are suitable for carpooling, and forming a third to-be-matched set by the owners with the goods weight smaller than the residual load of the owners;
if the cargo capacity of the truck is known to be 30 tons, judging whether the cargo capacity of the first cargo owner exceeds 30 tons or not, if the cargo capacity of the first cargo owner is less than 10 tons and less than 30 tons, detecting the next cargo owner of the second to-be-matched set, if the cargo capacity of the second cargo owner 2 is 40 tons and 40 tons is more than 30 tons, screening out the cargo owner 2; similarly, the owners of the second matched sets to be matched are sequentially checked until the screening is finished; after screening, a third to-be-matched set is formed by the obtained owner 1, the owner 3, the owner 4, the owner 7 and the owner 8;
step 4.4: for the third matching set owner, according to the formula for calculating the value per unit weight
Figure BDA0001633139400000042
Performing a calculation in which ViA shipping price issued for the owner; wiThe weight of the goods issued to the owner and PiThe values are sorted in descending order from high to low;
TABLE 3 shows the value of the owner's unit weight
Figure BDA0001633139400000043
Figure BDA0001633139400000051
Step 4.5: according to PiAnd selecting goods from high to low until the car sharing is completed to form a car sharing scheme.
Firstly, selecting a cargo owner 1 and a cargo owner 3 to judge that 10+8 is 18 < 30, and the vehicle sharing is suitable, then the cargo owner 1 and the cargo owner 3 form a vehicle sharing set, and continuously judging whether the cargo owner 8 is suitable for vehicle sharing, and if 18+12 is 30, then the cargo owner 1, the cargo owner 3 and the cargo owner 8 form the vehicle sharing set, and the vehicle sharing scheme has the maximum profit for vehicle owners.
In summary, the maximum revenue sharing scheme for the owner 1 is obtained as follows:
TABLE 4 implementation of carpooling
Figure BDA0001633139400000052
Step six: calculating the vehicle owner sharing income as follows:
Figure BDA0001633139400000053
the information of the car sharing scheme is pushed to the car owner 1 meeting the conditions, the car sharing is successful after the car owner 1 receives the order, and the car sharing is started.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (2)

1. An intelligent carpooling matching method for maximizing the vehicle owner income of a freight platform is characterized by comprising the following steps:
the method comprises the following steps: the owner of goods publishes car pooling information at the car pooling platform, wherein the car pooling information includes: cargo information: goods name, goods type, goods quantity, weight, volume, motorcycle type information: the requirements of vehicle type and vehicle length, and the transportation requirements are as follows: a ship-from, a destination, a delivery time, a receiving time, and a shipping price;
step two: the car pooling information on the platform is extracted, the car pooling information is classified and divided into static information and dynamic information, wherein the static information in the car pooling information comprises: cargo type, cargo weight, vehicle type requirement, departure location, destination, and shipping price, the dynamic information comprising: a delivery time and a receipt time;
step three: the car owner information on the platform is extracted, and the car owner information is classified and divided into static information and dynamic information, wherein the car owner information comprises: basic information of the vehicle: vehicle type, compartment length, width and height, rated load, car purchasing date, trailer axle, engine number and vehicle photo, and owner's personal basic information: contact, identity information and driver's license information, car owner platform sets up information: the system comprises a vehicle running route and residual load, wherein basic information of the vehicle and personal basic information of a vehicle owner are static information, and information set by a platform of the vehicle owner is dynamic information;
step four: screening out a goods owner meeting car sharing conditions according to static information and dynamic information in the car sharing information, and forming an intelligent car sharing scheme according to a car owner income maximization principle, wherein the specific method of the intelligent car sharing scheme is as follows:
step 4.1: forming a first to-be-matched set by the non-carpooling successful owners;
step 4.2: screening the goods owners matched with the car owner information from the first to-be-matched set to form a second to-be-matched set according to the static information and the dynamic information of the car sharing information;
step 4.3: according to the dynamic information of the owner information, selecting the owners one by one from the second to-be-matched set to judge whether the owners are suitable for carpooling, and forming a third to-be-matched set by the owners with the goods weight smaller than the residual load of the owners;
step 4.4: for the third consignor to be matched set according to the formula for calculating the value per unit weight
Figure 183972DEST_PATH_IMAGE001
Performing a calculation in which ViA shipping price issued for the owner; wiThe weight of the goods issued to the owner and PiThe values are sorted in descending order from high to low;
step 4.5: selecting goods from high to low according to Pi until the carpooling is completed to form a carpooling scheme;
step five: pushing the intelligent car sharing scheme to the car owners meeting the screening conditions;
step six: and calculating the car sharing income of the car owner and starting car sharing.
2. The freight platform vehicle owner profit maximization intelligent carpooling matching method according to claim 1, characterized in that: the calculation formula of the car sharing income of the car owner in the sixth step is as follows:
Figure 101112DEST_PATH_IMAGE002
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CN109685409A (en) * 2018-11-16 2019-04-26 南京大学 A kind of shipping platform car owner maximum revenue intelligence share-car matching process
CN111260172B (en) * 2018-12-03 2022-08-23 北京嘀嘀无限科技发展有限公司 Information processing method and system and computer equipment
CN111815231B (en) * 2020-06-19 2024-03-22 江苏汇舟物流有限公司 Intelligent carpooling method and system for logistics platform
CN113139755A (en) * 2021-05-17 2021-07-20 拉扎斯网络科技(上海)有限公司 Dispatching method and system for distribution tasks

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