Method for prediction of utilization rate of electric vehicle free-floating car sharing services using data mining
Paper in proceedings, 2018

Free-floating car sharing is a form of car rental used by people for short periods of time where the cars can be picked up and returned anywhere within a given area. In this paper, we have collected free-floating car sharing data, for electric as well as fossil fueled cars, and data regarding e.g. size of the city, number of cars in the service, etc. The utilization rates of the free-floating car sharing services vary much between the cities, greatly influencing the success of the services. This paper presents the most important factors influencing the utilization rate, and also a methodology to predict the utilization rate for new cities, using data mining based on Random Forests.

Prediction

Data collection

Data mining

Electric vehicle

Analysis

Random forest

Model

Free-floating car sharing

Author

Cristofer Englund

Viktoria Swedish ICT

Henrik Engdahl

Nimling AB

Shiva Habibi

Chalmers, Space, Earth and Environment, Physical Resource Theory, Physical Resource Theory 2

Stefan Pettersson

Viktoria Swedish ICT

Frances Sprei

Chalmers, Space, Earth and Environment, Physical Resource Theory

Alexey Voronov

Viktoria Swedish ICT

Johan Wedlin

Viktoria Swedish ICT

31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018

20189199

31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018
Kobe City, Japan,

Subject Categories

Transport Systems and Logistics

Economics

Human Geography

More information

Latest update

12/9/2019