Public bicycle peak time scheduling method based on multilevel partition

Abstract

The invention discloses a public bicycle peak time scheduling method based on multilevel partition. The public bicycle peak time scheduling method is characterized in that 1), a research range can be selected, and base materials can be acquired; 2) an upper layer scheduling area can be determined, and the relation between the rental station bicycle locking pile number and the borrowing and returning demand can be analyzed, and the surrounding rental stations can be brought into the scheduling area by the degree of the bicycle flowing correlation of different rental stations, until the upper layer scheduling area is the public bicycle peak time main flowing range; 3) cell distribution can be carried out in the scheduling area, and according to the rental station peak time operation data, the cells can be divided and numbered by combining the clustering analysis and the artificial adjusting method; 4) the inter-cell scheduling scheme can be determined; 5) the cell fixed scheduling scheme can be determined; and 6) the peak time integrated scheme can be made by combining the inter-cell scheduling scheme and the cell scheduling scheme. The scheduling areas can be divided in a targeted manner by adopting the layered scheduling method, and the scheduling schemes can be determined according to the demand and the time window, and the scheduling blindness caused by the wide distribution of the peak time demands can be reduced effectively.

Description

technical field [0001] The invention relates to the technical field of public bicycle dispatching, in particular to a public bicycle peak-hour dispatching method based on multi-level partitions. Background technique [0002] There is an obvious peak period in the time distribution of public bicycle rental. The rental volume of the morning and evening peaks on weekdays is much greater than that in other periods. The number of users during the peak period on weekdays is very likely to cause the facility supply to fail to meet the high usage demand. Case. In terms of spatial distribution, there is a tidal phenomenon, and the rental rules of the same type of rental points are the same. Residential public bicycle rental points are mostly home-based trips during the working day peak period, so there is an obvious peak of car rental, and the evening peak is the peak of returning cars. The opposite is true for public construction rental points near the employment area. Although th...

AI Technical Summary

Problems solved by technology

The problem with this scheduling method is that the scheduling instruction is issued when the threshold is approaching, but the scheduling plan is temporarily determined, and the optimal path cannot be guaranteed

However, dispatching with long distances is often affected by congestion during peak hours, which cannot guarantee dispatching efficiency and timeliness

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