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Vehicle and goods matching method based on AHP-DBN

A technology of AHP-DBN and vehicle-to-cargo matching, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as low success rate of vehicle matching, unmatched failure, optimization of vehicle matching process, single optimization purpose, etc.

Active Publication Date: 2021-09-10
NORTHWEST NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • Vehicle and goods matching method based on AHP-DBN
  • Vehicle and goods matching method based on AHP-DBN
  • Vehicle and goods matching method 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 impact 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 and goods matching method based on a dynamic Bayesian network. On the basis of the dynamic Bayesian network, a matching result in a single time slice and a matching result of a certain vehicle in a certain time slice are both seen as a state, the subsequent matching process is continuously influenced, and the flexibility of the dynamic Bayesian network is improved by introducing the state. In addition, dynamic weights are added for attribute matching, and factors influencing the environment are considered for each pair of matching combinations, so that the suitability degree can be maximized, and the logistics cost can be minimized. For the vehicle which fails to be matched, after the factors which are easy to be matched successfully are improved, the vehicle is continuously put into the next time period for matching until the matching is successful, so that the matching efficiency is practically and effectively improved. A large number of experiments prove that the method is greatly improved compared with previous research no matter in the matching success rate or in various different scenes, 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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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