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

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,...

AI Technical Summary

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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