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Modeling and solving method for hybrid distribution mode of unmanned vehicle and fuel vehicle

A technology for unmanned vehicles and fuel vehicles, applied in combustion engines, internal combustion piston engines, forecasting, etc., can solve the problems of obtaining satisfactory results, difficult accurate algorithms, and large VRP complexity.

Active Publication Date: 2020-04-03
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] As the distribution network structure becomes complex, the complexity of VRP is very large, and it is difficult for an accurate algorithm to obtain a satisfactory result within a limited time

Method used

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  • Modeling and solving method for hybrid distribution mode of unmanned vehicle and fuel vehicle
  • Modeling and solving method for hybrid distribution mode of unmanned vehicle and fuel vehicle
  • Modeling and solving method for hybrid distribution mode of unmanned vehicle and fuel vehicle

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Embodiment Construction

[0086] The method for modeling and solving the mixed distribution mode of unmanned vehicles and fuel vehicles in this embodiment includes the following steps:

[0087] Step 0. Organize a logistics survey, which includes the number of logistics enterprise customer points n, the number of fuel vehicles a, the number of unmanned vehicles b, and the capacity of fuel vehicles q 1 , Unmanned vehicle capacity q 2 , The C-th customer’s demand r C , The unit cost of the delivery route (i, j) c ij , The fixed cost of a single fuel vehicle Fixed cost of unmanned vehicles The earliest service time e of customer point i i , The latest service time of customer i i , The spatial distance d between paths (i, j) ij , The average driving speed of fuel vehicles v 1 , The average driving speed of the unmanned vehicle v 2 , The single loading and unloading time f 1 ,Single loading and unloading time of unmanned vehicle f 2 .

[0088] Step 1. Based on the data obtained in step 0, establish the optimal s...

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Abstract

The invention provides a modeling and solving method for a hybrid distribution mode of an unmanned vehicle and a fuel vehicle. The modeling and solving method comprises the following steps: 1, determining the cost of a distribution scheme, wherein the total cost is divided into fixed cost, transportation cost and punishment cost; 2, determining a model constraint condition, considering the actualsituation and assumed conditions of distribution task execution; 3, determining the optimization target of the distribution scheme, wherein the optimization target of the problem is to minimize the total cost of the distribution scheme, so that an unmanned vehicle and traditional vehicle hybrid fleet vehicle path optimization model in a hybrid distribution mode is established; and 4, performing iteration by adopting a particle swarm optimization algorithm, and calculating an optimal solution, namely the lowest-cost distribution scheme. The method is a reasonable solving way for the optimal distribution scheme in the unmanned distribution transition stage, and has high theoretical value and practical significance.

Description

Technical field [0001] The invention belongs to the field of logistics distribution path planning, and particularly relates to a modeling and solving method for the mixed distribution mode of unmanned vehicles and fuel vehicles. Background technique [0002] Unmanned vehicles will go through a transitional stage from research and development to wide application. In this transitional stage, it is necessary to face many problems such as immature technology and disapproval from the general public. Through research, the current hardware cost of small and medium-sized unmanned vehicles is 100,000 to 200,000 yuan. To truly realize unmanned distribution, it is necessary to strictly control costs and achieve mass production. In the transitional stage, technical mass production of unmanned vehicles and absolute confidence in technical equipment cannot be achieved. Therefore, at this stage, the research on unmanned distribution has theoretical and practical significance. [0003] On the ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08
CPCG06Q10/04G06Q10/067G06Q10/083Y02T10/40
Inventor 张永程涛施磊刘磊王亭
Owner SOUTHEAST UNIV