A site selection method for a bicycle rental site

Abstract

The invention discloses a bicycle rental site selection method, which comprises the following steps: selecting a research range, collecting basic data including the position of each public bicycle rental site, the number of bicycle locking piles, the actual number of allocated bicycles and user IC card swiping data; determining a scheduling area and a scheduling amount, analyzing a space-time change rule of the number of bicycles at each leasing point according to the card swiping data of the user, and establishing a sharing rate prediction model; establishing a public bicycle dynamic scheduling path optimization model; the solving method comprises the steps that an improved ant colony algorithm is adopted to solve a TSPPD model, a dispatching truck is regarded as a load-bearing ant, the dispatching truck is dispatched to find out the bicycle loading capacity needing to be checked before the next dispatching rental point, and rental points with the current loading capacity capable of being served are screened out; according to the public bicycle peak hour dynamic scheduling method, the public bicycle scheduling management efficiency can be effectively improved, the scheduling costis reduced, scientific scheduling is achieved, and the problem of public bicycle supply and demand imbalance in peak hours is solved.

Description

technical field [0001] The invention relates to the field of bicycle rental, in particular to a method for selecting a location of a bicycle rental point. Background technique [0002] Despite the rapid development of urban public transportation and people's travel is becoming more and more convenient, whether it is a subway station or a bus station, there is always a distance from the destination we are going to. This distance is often neither long nor short. It is not cost-effective to take a taxi, it is not convenient to transfer to a bus, and it is a bit long to walk, which is the so-called "last mile" problem. Therefore, public bicycles are a better solution. At the same time, in order to respond to the government's call for green travel, public bicycle rental services mainly for ordinary people are quietly emerging in various major cities at home and abroad, and bicycles are stored and used. Occupying less land can improve the utilization rate of road resources, relie...

AI Technical Summary

Problems solved by technology

[0003] However, as the scale of the public bicycle system gradually increases and the frequency of use gradually increases, it also brings a series of problems to the management and service of the public bicycle system

The most important thing is to show customer satisfaction. For example, during peak hours, all the locks at some rental points are vacant for too long, causing users to be unable to borrow a car; all locks at some rental points are full. The bit status time is too long, resulting in the user not being able to return the car

These problems lead to a sharp decline in user satisfaction, and the number of user complaints continues to rise, which directly affects people's doubts about the actual role of public bicycles. Therefore, we propose a location selection method for bicycle rental points in response to the above problems, collecting public transportation and people flow intelligence, build sharing rate prediction model and TSPPD model to scientifically build bicycle rental sites