Bicycle sharing allocation method based on tidal model and particle swarm optimization

Abstract

The invention provides a bicycle sharing allocation method based on a tidal model and particle swarm optimization. The method comprises the following steps that: firstly, combining with the application regularity of bicycle sharing to establish the tidal model, and utilizing a least square method to solve parameters in the model so as to predict the quantity demanded of the important putting pointof each area; then, according to a prediction value, establishing a multi-objective planning model by five objectives, including a maximum quantity demanded fill rate, fewest transfer vehicles, a shortest transfer distance and balanced distance between the transfer vehicle and the transfer distance among areas as much as possible; and utilizing the particle swarm optimization to solve an optimalscheduling scheme. By use of the scheduling method, the distribution rule, which is about time and places, of the bicycle sharing can be combined, so that the method has the characteristics of being high in practical applicability, high solving speed and accurate allocation scheme, and a reasonable distribution scheme can be favorably provided for related bicycle sharing operation companies.

Description

technical field [0001] The invention relates to the field of shared bicycle allocation, and relates to a shared bicycle allocation method based on a tidal model and a particle swarm algorithm. Background technique [0002] At present, shared bicycles have been widely used in life, which provides great convenience for our life. However, during the morning rush hour and evening rush hour, a large number of shared bicycles will suddenly appear near subway stations or schools, seriously affecting traffic; while people who need to ride bicycles in other places cannot find shared bicycles, which seriously affects the use of shared bicycles. utilization rate. Therefore, there is an urgent need to develop a deployment method for shared bicycles, which can be manually allocated to the uneven distribution of shared bicycles, so as to delay the construction of traffic problems and improve the utilization rate of shared bicycles. Contents of the invention [0003] The purpose of the...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of uneven allocation of shared bicycles, and provide a shared bicycle allocation method based on tidal model and particle swarm algorithm, which has the characteristics of strong practical applicability, fast solution speed, and accurate allocation scheme

Images