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Crowd-sourcing logistics distribution route planning method and system based on track big data

A technology of trajectory big data and trajectory data, applied in logistics, data processing applications, forecasting, etc., can solve problems such as aggravating urban traffic pressure, not taking dynamic traffic factors into consideration, and difficult to complete efficient logistics distribution, etc., to achieve savings The effect of logistics costs

Active Publication Date: 2019-02-22
SHENZHEN UNIV
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Problems solved by technology

[0004] However, in the existing technology, factors such as transportation conditions and costs are mainly considered for the site selection of logistics distribution stations, and the real dynamic traffic factors are not considered.
Distribution vehicles are special purpose vehicles that have been professionally transformed. These vehicles increase the pressure on urban traffic. At the same time, it is difficult to complete efficient logistics distribution with limited professional distribution vehicles.

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  • Crowd-sourcing logistics distribution route planning method and system based on track big data
  • Crowd-sourcing logistics distribution route planning method and system based on track big data
  • Crowd-sourcing logistics distribution route planning method and system based on track big data

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill i...

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Abstract

The invention discloses a crowd-sourcing logistics distribution route planning method and system based on track big data. The method comprises: collecting historical floating vehicle track data, finding out the parking information of the floating vehicle, and determining the alternative address of the distribution transfer station. A heuristic algorithm is used to compute the time-dependent routing of packages, and the optimal route of packages passing through the distribution transfer station from the initial point to the target point is determined. The method comprises the following steps: acquiring the urban online floating vehicle trajectory data, matching the determined best path with the urban online floating vehicle trajectory data by similarity degree, finding out the matching floating vehicle, and assigning the floating vehicle to distribute the urban package. The invention obtains the real and effective traffic network data from the traffic trajectory big data, and provides the decision support for the location selection of the logistics distribution transfer station. In addition, the invention matches the on-line floating vehicle trajectory data with the logistics distribution data, thereby realizing the new mode of crowd-sourced logistics distribution by the floating vehicle, and effectively saving the logistics cost.

Description

technical field [0001] The invention relates to the technical field of logistics distribution, in particular to a method and system for crowdsourcing logistics distribution path planning based on trajectory big data. Background technique [0002] Internet technology promotes the rapid development of e-commerce. Urban logistics distribution is an important part of e-commerce. The efficiency of logistics distribution has an important impact on e-commerce customer satisfaction. However, due to its small batch and high-frequency characteristics, urban logistics distribution faces many challenges, such as high distribution costs and low service satisfaction. At the same time, urban distribution also increases urban traffic pressure. With the development of urbanization, people have put forward new and higher requirements for urban distribution. Urban distribution not only needs to improve efficiency and convenience, but also should consider requirements such as low carbonization,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/047G06Q10/08355
Inventor 涂伟赵天鸿黄正东李清泉朱婷婷杨超
Owner SHENZHEN UNIV
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