Design And Implementation Of Public Bicycle Dispatching System Based On Xgboost Algorithm

With the popularization of modern public bicycle service systems,the number of public bicycles in each city has gradually increased.On the one hand,healthy travel modes are favored by people,and on the other hand,low-carbon and environmentally-friendly transportation methods are more recognized by the masses.Although urban public bicycles bring great convenience to people,there are also obvious problems.These problems are mainly reflected in bicycle rebalancing and individual maintenance of shared facilities,and the system is used by creating requirements in an asymmetric mode.Therefore,while urban public bicycles are deeply rooted in people’s lives,it is more important to use the Internet and practical applications to improve the efficiency of public bicycles.The main purpose of this paper is to design and implement a city public bicycle dispatching system,based on the Xgboost algorithm to build a model to predict the demand of public bicycles,improve the urban public bicycle scheduling function,and then implement the system user management,public bicycle through relevant Internet technology.Other functions such as management and public bicycle maintenance are used to solve the problems of insufficient demand for urban public bicycles at present,accumulated vehicle congestion and poor user experience,so as to achieve a win-win situation for operators and users.Based on the overall analysis of the existing urban public bicycle service system,the article proposes suggestions for the current public bicycle structure,and designs a public bicycle dispatching system based on the existing public bicycle service system model to optimize the current public bicycle service system.Scheduling method to improve vehicle use efficiency and improve user experience.Through the analysis of the functional requirements of the public bicycle dispatching system,the system design uses the now popular Bootstrap front-end framework,and the background is built based on the Django framework in Python,which can quickly realize the interaction between the system background and the page or system background and Mysql database.Solved the problem of the public bicycle dispatching system on the software technology level.Then based on the real public bicycle dataset,a series of data mining is carried out according to the current imbalance of vehicle demand faced by public bicycles.By analyzing the time dimension and spatial dimension characteristics,the site is modeled from the perspective of individual and site clusters.The Xgboost algorithm predicts the accuracy of the results by different evaluation indicators,and provides an effective method for the behavior prediction of public bicycles.From the theoretical point of view,the feasibility of public bicycle demand scheduling is realized.Finally,the theory is applied.To solve the problems faced by the current public bicycle service system.