Research On Optimization Strategy Of Shared Car Dispatching In Wuhan

As a new type of transportation,Car-sharing has brought great convenience to the traffic in Wuhan.Car-sharing reasonably and effectively alleviates the traffic pressure in Wuhan.However,with the rapid development of Car-sharing in Wuhan,it has appeared many questions.On the one hand,it is difficult for users to rent and return cars and to find a usable car.These problems greatly reduce user’s satisfaction.On the other hand,Car-sharing companies are facing the problem of high investment and low return.These problems have seriously affected the promotion and operation of Car-sharing in Wuhan.At present,the vehicle scheduling of Car-sharing companies in Wuhan is based on an information system.The information system can assign employees to dispatch shared cars only according to the inventory of vehicles in the site set initially.This simple scheduling method does not consider the tidal nature and imbalance of user’s needs.It lacks accuracy and systematicness.In chapter 3,the real-time scheduling model of shared cars in a dynamic environment is proposed.In this scheduling model,the places where shared cars can be parked are not limited to stations,but any public areas where they can park.Firstly,this scheduling model predicts the real-time user’s demand and return volume in each area.Then it calculates the difference between the predicted number and the actual number.It considers factors such as the transfer of staff and shared cars between different areas,the cleaning and maintenance of shared cars,refueling and fault maintenance.The objective function of the scheduling model is the cost of dispatching shared cars in different areas,the cost of transferring staff in the operating area by public transportation,the penalty for rejecting user’s requests,the penalty for not meeting or delaying a simple maintenance,and the penalty for not meeting or delaying emergency maintenance.This model can effectively and systematically dispatch shared cars in real time.And it can meet the needs of users timely.Thereby it can improve user satisfaction.In chapter 3,we propose a shared car scheduling model in which users participate in scheduling.This model allows users to participate in scheduling by adopting a preferential incentive measure.Its objective function is the dispatch cost of shared cars,the transfer cost of staff,the penalty for rejecting user requests,the penalty for unsatisfied cleaning maintenance,refueling and fault maintenance,and the cost of motivating users to pick up the car from another place.It is subject to the transfer of staff and shared cars between different areas,the cleaning and maintenance of shared cars,refueling and fault maintenance.This model of joint scheduling between users and operators can greatly reduce labor costs.Thereby it can reduce the total cost of scheduling and optimizing the model.In chapter 4,the two proposed scheduling models are simulated with the real historical data of a Car-sharing company in Wuhan.The results show that the scheduling cost of the scheduling model proposed in this paper is about 10% which is lower than the cost of historical data.This indicates that the proposed scheduling optimization models have their practical significance.Therefore,the Car-sharing scheduling optimization model proposed in this paper based on previous studies has certain research significance for the promotion and development of Car-sharing in Wuhan and the improvement of traffic congestion and environmental pollution.