Research On Car-Sharing Scheduling Optimization Considering Electric Vehicle Recharging

As a new mode of travel in the sharing era,car-sharing has achieved rapid development in recent years,in which one-way mode is favored for its convenience and flexibility.However,due to users returning cars at different stations,one-way car-sharing operation also induces imbalance problem.In recent years,more and more car-sharing enterprises are introducing electric vehicles into their car-sharing fleets.Limited by the range of electric vehicles and long-time recharge,the operation scheduling is closely related to the development of corresponding charging facilities.In the current situation,incomplete charge plots at car-sharing stations increases the difficulty of operation and scheduling.It requires operators to consider recharge scheduling and balance relocation in a plan.Besides,the electric fleet size is also limited by available station charging facilities.With the construction of stationary charging plots and wireless charging lane application prospect,car-sharing operation faces opportunities and challenges simultaneously.In the near future,car-sharing vehicles may have access to both stationary charge and lane charge service.This new mixed charging mode will bring changes to the specific execution form of vehicle recharge scheduling.Therefore,it is necessary to study the operation scheduling problem of one-way car-sharing combining with the development state of charging facilities.This paper analyzes the state of the art of one-way car-sharing operation management and scheduling by summarizing relevant literature,and proposes to add charging issues in vehicle scheduling problem,considering adjusting the recharging scheduling methods according to the characteristics of different development stages of charging facilities.Firstly,in the case of stationary charging,we take the static scheduling of operators as the research focus,and creatively considered the constraints of the actual conditions of incomplete parking charging facilities on the fleet size and scheduling scheme.To handle this problem,a hybrid fleet is adopted,and the charging-oriented vehicle scheduling is added in establishing a one-way scheduling model of a hybrid fleet aiming at optimizing operator profit and service level.A two-stage stochastic programming model is designed to cope with stochastic demand,and to investigate the vehicle size,vehicle allocation and static scheduling decisions of mixed car-sharing fleet.Following this,still on the basis of stationary charging,time-varying demand with randomness is taken as input.Meanwhile,we take recharging time and recharge available condition constraints into account.Note that the charging scheduling decision involves the different behaviors of electric vehicles staying at the station waiting to be charged or dispatching to the station available for charging at the charging station,so we described the flow trajectory of different purposes for two types of vehicles in stochastic scenarios based on the multi-layer mixed temporal-spatial-state network.A two-stage stochastic programming model of a one-way car-sharing hybrid fleet size and dynamic relocation is established to solve the problem.Finally,considering the development of stationary charging facilities and wireless charging lane applications,these two types of charging modes are included as a mixed charging scenario to investigate the one-way car-sharing scheduling problem in the future city road networks.We choose a different model building form to tackle the one-way carsharing operation problem under wireless charging applications in view of the new characteristics.Based on car-sharing vehicle service planning,route choice problem is included in the relocation scheduling between every two relocating stations.In the end,an electric car-sharing fleet scheduling problem considering route choice behavior is proposed to provide managerial insights for car-sharing operators.