Electric and Conventional Vehicle Driving Patterns

Benjamin Bjerre Krogh, Ove Andersen, Kristian Torp

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The electric vehicle (EV) is an interesting vehicle type that can reduce the dependence on fossil fuels, e.g., by using electricity from wind turbines. A significant disadvantage of EVs is a very limited range, typically less than 200 km. This paper compares EVs to conventional vehicles (CVs) for private transportation using two very large data sets. The EV data set is collected from 164 vehicles (126 million rows) and the CV data set from 447 vehicles (206 million rows). Both data sets are collected in Denmark throughout 2012, with a logging frequency of 1 Hz. By comparing the two data sets, we observe that EVs are significantly slower on motorways, faster in cities, and drive shorter distances compared to CVs.
Original languageEnglish
Title of host publicationSIGSPATIAL'14:Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Number of pages4
PublisherAssociation for Computing Machinery
Publication date4 Nov 2014
Pages473-476
ISBN (Print)978-1-4503-3131-9
DOIs
Publication statusPublished - 4 Nov 2014
Event22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) - Dallas, Texas, United States
Duration: 4 Nov 20147 Nov 2014

Conference

Conference22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014)
CountryUnited States
CityDallas, Texas
Period04/11/201407/11/2014

Keywords

  • electric vehicles
  • GPS
  • can bus
  • Spatial analysis

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