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A method of vehicle and cargo matching based on ahp-dbn

An AHP-DBN, vehicle and cargo matching technology, applied in neural learning methods, data processing applications, instruments, etc., can solve the problems of high matching cost, low vehicle matching success rate, and single optimization purpose.

Active Publication Date: 2022-05-17
NORTHWEST NORMAL UNIVERSITY
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  • Description
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Problems solved by technology

[0005] The present invention overcomes the shortcomings of single optimization purpose in the existing vehicle-cargo matching problem, low vehicle matching success rate in a static time period, inability to optimize the subsequent matching process of matching failed vehicles, and high matching cost, etc., and proposes a method based on AHP( Analytic Hierarchy Process (Analytic Hierarchy Process)-DBN (Dynamic Bayesian Network, Dynamic Bayesian Network) vehicle-cargo matching method, which provides personalized ranking and recommendation of different goods for dynamically changing vehicle resources, and is committed to improving user satisfaction and reducing logistics costs

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  • A method of vehicle and cargo matching based on ahp-dbn
  • A method of vehicle and cargo matching based on ahp-dbn
  • A method of vehicle and cargo matching based on ahp-dbn

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Embodiment Construction

[0059] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0060] The present invention obtains the detailed data of vehicles and goods from the big data platform of the logistics industry, and cleans up the data, and obtains the type, quality, volume, origin, destination, matching start time, and deadline after sorting and other specific properties.

[0061] Step 1: The specific implementation starts from the matching process under the single time series, and the vehicle and cargo data sets are divided according to exhibit. We need to calculate the matching degree between vehicles and goods. Take vehicle V 1 , cargo C 1 As an example, first calculate V 1 , C 1 Matching degree between, matching degree D(V 1 ,C 1 ) by attribute matching degree O 11 and the degree of environmental influence EnvD(V 1 ,C 1 )get.

[0062] (1) The type matching degree of the two is O 1 It can be obtained from Table 1, ...

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Abstract

The invention provides a vehicle-cargo matching method based on a dynamic Bayesian network. Based on the dynamic Bayesian network, the matching result in a single time slice and the matching result of a certain vehicle in a certain time slice will be regarded as a state, which will continue to affect the subsequent matching process. The introduction of the state improves the dynamic The flexibility of Bayesian networks. In addition, adding dynamic weights to attribute matching and considering environmental factors for each pair of matching combinations can maximize the degree of suitability and minimize logistics costs. For vehicles that fail to match, we continue to put them into the next time period for matching after increasing the factors that make them easy to match successfully, until the matching is successful, which effectively improves the matching efficiency. Through a large number of experiments, it has been proved that this method has a greater improvement compared with the previous research, no matter in the matching success rate or in various scenarios, and can be applied to small and medium-sized logistics enterprises.

Description

technical field [0001] The patent of the present invention relates to a vehicle-cargo matching method, which has extremely important application prospects in the field of logistics and transportation. Background technique [0002] In the logistics industry, there are transportation systems such as roads, railways, water transportation, and aviation, and different transportation systems constitute a complete logistics transportation line. Among many transportation systems, road freight can realize point-to-point transportation, which has the advantages of being extremely convenient, flexible, and fast. There are many problems, such as asymmetric freight information, low efficiency of vehicle and cargo matching, and empty return journey. While restricting the further development of road freight transport, these problems will also cause idle waste of vehicle resources and hoarding of freight resources. In order to solve the above problems, it is particularly important to stud...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/08G06N3/08G06K9/62G06Q50/28G06Q50/30
CPCG06Q10/083G06N3/08G06F18/22G06F18/24155G06Q10/08G06Q50/40
Inventor 田冉王楚高世伟马忠彧刘颜星胡佳王灏篷王晶霞李新梅
Owner NORTHWEST NORMAL UNIVERSITY