Shared bicycle flowing system and automatic scheduling system and method based on sub-region division

Abstract

The invention provides a shared bicycle flowing system and an automatic scheduling system and method based on sub-region division. The shared bicycle flowing system comprises overground conveying devices arranged at bicycle taking and placing points, underground conveying devices connected with the overground conveying devices at the bicycle taking and placing points, and a multi-layer storage device capable of providing bicycles for the overground conveying devices or the underground conveying devices. And the adjacent bicycle taking and placing points and the overground storage devices are connected through the overground conveying devices or the underground conveying devices to form a mobile conveying network of the shared bicycles. Proposed flow system, linkage of stations in a certainarea is realized; the demand quantity of each station is predicted through a comprehensive demand prediction method, then dynamic subarea division is performed to form a demand scheduling scheme of each station in subareas, finally, the mobile system realizes automatic transportation of shared bicycles according to the scheduling scheme, and when a user has a demand, an efficient and convenient bicycle access service is provided for the user to the maximum extent.

Description

technical field [0001] The present disclosure relates to the technical field related to shared bicycles, and specifically relates to a shared bicycle flow system, an automatic dispatching system and method based on subdivision. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] In recent years, the emergence of shared bicycles has improved the public transportation system and solved the problem of the "last mile" of citizens' travel, which is in line with the concept of green and environmentally friendly life. However, with the rapid increase in the number of shared bicycles, a series of problems have arisen. In the streets and alleys of the city, the problem of random parking of bicycles has gradually become prominent. The phenomenon of "nowhere to go, nowhere to park" has attracted the attention of all walks of life. A series of measures ...

AI Technical Summary

Problems solved by technology

[0005] First, all need to rely on manpower to participate in transportation, shared bicycles cover a wide area, so it will consume a lot of human resources, and there is a problem of untimely scheduling; although some inventions propose some shared bicycle carriers and some handling devices, but the carriers are in When automatic transportation is realized, there are great unsafe factors due to the influence of the surrounding environment

Although there is a handling device, personnel are still required to realize the transportation between shared bicycle sites and sites, which consumes a lot of manpower and has the problem of limited scheduling personnel and untimely scheduling, which cannot well meet user needs

[0006] Second, the imbalance between the number of shared bicycles at each site and the actual demand is relatively common, and it cannot meet the needs of users well

In the field of demand forecasting for shared bicycles, the existing technology mainly uses some algorithms of machine learning to analyze the historical data of shared travel to establish a model for forecasting, without fully considering the actual needs of users. From the perspective of user needs, the demand forecasting can be improved to a certain extent. Accuracy, although the existing method considers the demand prediction method of user reservation, but does not fully explore the real needs of users, and only relies on the reservation data to predict the lack of consideration of changing factors, making the prediction results inaccurate; at the same time, the factors considered are not Comprehensive, without fully considering the changing factors of the surrounding environment of the site, ignoring the influence of the attractive points around the site on the demand change

[0007] Third, in terms of the dispatching method of shared bicycles, the internal correlation between each site is mainly considered, and the internal characteristics of each site itself and the influence of the surrounding environmental characteristics are not fully considered, which cannot satisfy the effectiveness of dispatching, resulting in continuous ineffective dispatching. , resulting in a large waste of resources

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