A Shared Electric Vehicle Demand Forecasting Method and System Considering Subjective and Objective Information

Abstract

The invention provides a shared electric vehicle demand forecasting method and system considering subjective and objective information, and the SEV demand database includes subjective and objective influencing factors and SEV historical demand data. Through the acquisition subsystem of the significant influencing factors of SEV demand, the significant influencing factors are extracted by using the maximum likelihood estimation method. Store significant influencing factors and SEV historical demand data into the SEV demand forecasting modeling subsystem to establish a forecasting model. The subjective and objective forecasting model is stored in the optimized SEV demand forecasting model subsystem, and the weight matrix of the mixed forecasting model of subjective logit and objective RBP is optimized by genetic algorithm. Finally, the hybrid forecasting model is stored in the SEV demand forecasting application system, and the SEV demand can be predicted by inputting subjective and objective influencing factors and SEV historical demand data. The invention takes both subjective and objective information into account, accurately predicts long-term and short-term demands of SEVs, and provides references for SEV total quantity decision-making and vehicle distribution.

Description

technical field [0001] The invention relates to a demand forecasting method for shared electric vehicles (SEV for short), which belongs to the field of demand forecasting for shared electric vehicles. The long-term or short-term car demand of the site, and verified by actual cases, provides a reference for the determination of the total number of shared electric vehicles and vehicle distribution, and effectively solves the problem of vehicle accumulation imbalance at shared sites. Background technique [0002] With the popularity of fuel vehicles, problems such as traffic congestion, environmental pollution, and parking difficulties in cities continue to plague people's travel and daily life. Shared electric vehicles can increase the utilization rate of vehicles while meeting the travel requirements of users, reduce vehicle exhaust emissions, and reduce the number of private cars owned to alleviate traffic congestion. Comprehensive consideration of subjective and objective ...

AI Technical Summary

Problems solved by technology

[0004] In order to effectively solve the problem of unbalanced accumulation of shared electric vehicles, the present invention proposes a shared electric vehicle (Share Electric Vehicle, referred to as SEV) demand forecasting method and system that considers subjective and objective information, so as to realize the electric vehicle demand prediction of the shared site. Accurate long-term and short-term forecasts

Images