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Shared Electric Vehicles With User Participation A Study On The Optimization Of Two-Body Deployment

Posted on:2024-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:K YangFull Text:PDF
GTID:2532306932460064Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
The study first analysed the factors affecting users’ travel choice behaviour and designed a survey questionnaire.Through statistical analysis of the order sample data,a multinomial logit model of user’s travel route choice was developed.Based on this model and the utility maximisation theory,a reasonable incentive mechanism was developed to encourage users to participate in vehicle dispatching.The back-end user order information of the shared EV app is collected and used as historical data for vehicle forecasting to forecast vehicle demand within vehicle sites and vehicle scheduling tasks between sites,in order to determine virtual supply sites and virtual demand sites for shared EV vehicles.After determining the relevant parameters,an improved genetic algorithm is used to solve the dual-entity scheduling optimization problem of shared electric vehicles with user participation.Through the empirical analysis in Licang,Laoshan,Shinnan and Hebei districts of Qingdao,it is demonstrated that the dual-object dispatching optimization strategy with user participation has high dispatching efficiency and economic benefits,and can better meet users’ vehicle demand and improve user satisfaction.This paper provides a reference for future research on user behaviour analysis of shared vehicles,and also provides a theoretical basis for shared electric vehicle operators to guide users to participate in vehicle deployment.The development of user incentives and the analysis of user travel behaviour in this paper also provide a reference for future user behaviour analysis of shared vehicles.The proposed dual-entity dispatching optimization strategy can provide a feasible dispatching method for shared electric vehicle operators and help further improve the operational efficiency and user satisfaction of shared electric vehicles.Finally,this paper compares the proposed dual-body dispatching optimization strategy with two single-body vehicle dispatching strategies based on employees and users to verify the superiority of the dual-body dispatching strategy.The calculation results show that compared with the two existing single-subject dispatching strategies,the dual-subject dispatching strategy improves vehicle dispatching efficiency to a certain extent,reduces some vehicle dispatching costs,and at the same time completes 100% of the vehicle dispatching tasks arranged by the system.This also demonstrates the effectiveness of the two-object dispatching strategy with user participation over the single-object dispatching strategy proposed in this paper.
Keywords/Search Tags:car sharing, electric vehicle, Multinomial Logit Model, dual-subject dispatching, improved genetic algorithm
PDF Full Text Request
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