Research On Optimization Of Shared Bicycle Dispatching In H University Based On Tidal Change Of Demand

With the gradual improvement of the university ecosystem,the continuous expansion of the campus construction scale,and the continuous growth of the number of bike sharing users,problems such as uneven supply and demand and disorderly parking in the campus bike sharing operation have become prominent.In the campus bike sharing operation environment,curriculum arrangement,dining hours,regional opening hours and other factors lead to unique travel rules for campus people,forming a travel tide phenomenon with campus attributes.This kind of phenomenon leads to the uneven distribution of space and time demand for shared bicycles,and the dilemma of "difficult to borrow and return",which cannot meet the user demand in peak hours.This paper starts with the travel attributes of university user groups,analyzes the travel characteristics of university bike sharing users,and excavates the influencing factors of the tide change of university bike sharing demand from different dimensions such as time and space.Secondly,based on the characteristic factors of demand tidal change,the current situation of pedestrian and vehicle flow in the campus is simulated,and the characteristic variables such as student curriculum arrangement,meal time,regional opening time are added to the pedestrian and vehicle flow simulation model to accurately reflect the space-time change law of pedestrian and vehicle under the influence of travel tidal phenomenon.Thirdly,aiming at the problem of shared bicycle scheduling,the pedestrian and vehicle flow simulation model is used to simulate the pedestrian and vehicle flow state under different proportion of single vehicle delivery,and determine the initial single vehicle delivery in each region.Finally,on this basis,fully consider the impact of campus environment,scheduling vehicles,scheduling personnel and other factors on the scheduling scheme,build a scheduling model with the shortest scheduling path as the goal,use the ant colony algorithm to solve it,and take H University as an example to develop a shared single vehicle scheduling scheme for a certain working day.