Method and system for dynamically planning logistics delivery routes based on big data analysis technology

A technology of logistics distribution and dynamic planning, applied in the field of system design and dynamic planning of logistics distribution path based on big data analysis technology, to achieve the effect of reducing distribution costs, improving distribution efficiency and distribution service level

Active Publication Date: 2017-11-21
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of dynamic planning of logistics distribution routes in the face of different environmental factors and different traffic event factors, and propose a method and system for dynamic planning of logistics distribution routes based on big data analysis technology

Method used

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  • Method and system for dynamically planning logistics delivery routes based on big data analysis technology
  • Method and system for dynamically planning logistics delivery routes based on big data analysis technology
  • Method and system for dynamically planning logistics delivery routes based on big data analysis technology

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Embodiment 1

[0024] The embodiment of the present invention provides a method for dynamic planning of logistics delivery routes based on big data analysis technology, such as figure 1 As shown, including the following steps S1-S3:

[0025] S1. Use big data to analyze the influence of environmental factors on vehicle speed, and comprehensively analyze the time delay caused by traffic event factors on the road section, and establish a driving time model under multi-factor conditions. Among them, environmental factors include rainfall and fog visibility, and traffic event factors include traffic accidents and traffic control.

[0026] Such as figure 2 As shown, step S1 specifically includes the following sub-steps S11-S16:

[0027] S11. Carry out relationship fitting between the rainfall amount and the vehicle speed reduction coefficient, and calculate the vehicle speed reduction coefficient α in rainy days.

[0028] Such as image 3 As shown, this step specifically includes the followin...

Embodiment 2

[0088] An embodiment of the present invention provides a dynamic planning system for logistics delivery routes based on big data analysis technology, including:

[0089] The positioning device is used to obtain the current vehicle driving position information. In the embodiment of the present invention, the positioning device adopts a vehicle-mounted GPS positioning system. The vehicle-mounted GPS positioning system installs a vehicle-mounted positioning unit on the vehicle, applies GPS positioning technology to determine the position information of the vehicle, and obtains the real-time speed and latitude and longitude of the vehicle.

[0090] The data storage device is used to store multiple sets of delivery route node sequences obtained by re-planning the delivery route at a specific time interval T in each delivery activity. In the embodiment of the present invention, the data storage device uses the SQL Server database to establish the road network information database, a...

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Abstract

The present invention discloses a method and a system for dynamically planning logistics delivery routes based on big data analysis technology. The method includes: using big data to analyze environmental factors and traffic accident factors to establish reduction coefficient functions between various factors and the vehicle speed or delay time functions between various factors and the vehicle speed, using graph and network theories to establish a city delivery road net model and finally using an A * search algorithm to dynamically plan the optimal delivery route. The invention fully considers the influence of environmental factors and traffic accident factors on the delivery route so as to solve the problem of urban logistics delivery route planning, and can effectively deal with the influence of environmental factors and traffic accidents on the delivery vehicles and improve the delivery efficiency and the delivery service level, reducing distribution cost.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation and logistics, and in particular relates to a dynamic planning method and system design of a logistics delivery route based on big data analysis technology. Background technique [0002] In recent years, the process of urbanization and motorization in my country has been accelerating, and urban traffic problems represented by traffic congestion have become a major problem, and urban traffic congestion has seriously restricted the development of urban logistics distribution, which not only increased distribution costs, but also reduced distribution costs. efficiency. Many scholars have focused on the route planning under ideal road traffic conditions in the research on distribution route planning, and have not taken environmental factors (rainfall, fog) and traffic events (traffic control and traffic accidents) into consideration in the planning process. Factors, while the impact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06Q50/28
CPCG06Q10/047G06Q10/08355G06Q50/28
Inventor 徐菱江文辉李思雯刘璇
Owner SOUTHWEST JIAOTONG UNIV
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