Simulation And Optimization Of Electric Car-sharing Station In Gu Lou District Of Nanjing City

China’s Automobile industry has developed rapidly since China’s accession to the WTO.The number of cars per 1,000 people has increased from less than 10 to more than 180,private cars account for 87% of the total.The demand for private cars is huge and keeps increasing.The popularization of private cars has liberated people’s legs,but at the same time it has also caused several social problems such as environmental pollution,traffic jams,and parking difficulties.In recent years,a new transportation mode-"sharing electric vehicles" has begun to enter people’s vision,which can alleviate the above social problems while meeting the needs of car,and optimize the allocation of resources.How to improve the service level of electric car-sharing and promote people’s use have become issues worthy of research.Station is the basis for the existence of the electric car-sharing system,including the location,the number of parking spaces,the number of charging piles,and the number of initial vehicles,etc.Therefore,this thesis focuses on the optimization of electric car-sharing stations for in-depth research.This thesis uses Flexsim as the platform to build an optimization simulation model for electric car-sharing stations.Later analyzes and optimizes the electric car-sharing stations in Gu Lou District,Nanjing.First,the location and configuration of the existing stations in Gulou District were sorted through a combination of field research and mobile APP data tracking,and Expert Fit was used to fit the user arrival distribution of each station by time.Then,the modeling logic and consideration factors of shared electric vehicles were analyzed,and a simulation model of the existing system was built.Through the operation results of the existing system model,the areas that need to be improved are found,and various optimization schemes are designed accordingly.Finally,because the evaluation of the site not only considers the operator’s profit and user satisfaction,but also considers the site performance,there are six evaluation indexes,there are 6 evaluation indicators,the entropy TOPSIS method is used to weight each indicator and select the optimal solution.Therefore,obtained the best optimization plan for electric car-sharing stations in Gu Lou District under current demand.