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ELVIS: Comparing Electric and Conventional Vehicle Energy Consumption and CO2 Emissions

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Advances in Spatial and Temporal Databases (SSTD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10411))

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Abstract

Making the transition from conventional combustion vehicles (CVs) to electric vehicles (EVs) requires the users to be comfortable with the limited range of EVs. We present a system named ELVIS that enables a direct comparison of energy/fuel consumption, CO2 emissions, and travel-time between CVs and EVs. By letting users enter their everyday driving destinations ELVIS estimates the fuel consumption and whether the users can replace their CV with an EV, optionally by charging the EV at certain stops for a number of minutes. In this demonstration the popular CV Citroën Cactus is compared to the popular EV Nissan Leaf. It is shown that for a typical scenario it is possible reduce CO\(_2\) emissions by 28% when substituting a CV for an EV. ELVIS bases its estimations on 268 million GPS records from 325 CVs and 219 million records from 177 EVs, annotated with fuel/energy consumption data.

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Acknowledgment

We thank www.flexdanmark.dk, www.r2ptracking.dk, www.ens.dk for access to data.

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Authors and Affiliations

  1. Department of Computer Science, Aalborg University, Aalborg, Denmark

    Ove Andersen, Benjamin B. Krogh & Kristian Torp

  2. FlexDanmark, Aalborg, Denmark

    Ove Andersen

Authors
  1. Ove Andersen
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  2. Benjamin B. Krogh
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  3. Kristian Torp
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Corresponding author

Correspondence to Ove Andersen .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Heidelberg University, Heidelberg, Germany

    Michael Gertz

  2. George Mason University, Fairfax, Virginia, USA

    Matthias Renz

  3. University of Queensland, Brisbane, Queensland, Australia

    Xiaofang Zhou

  4. ESRI, University of Minnesota, Minneapolis, Minnesota, USA

    Erik Hoel

  5. Auburn University, Auburn, Alabama, USA

    Wei-Shinn Ku

  6. Free University of Berlin, Dahlem, Berlin, Germany

    Agnes Voisard

  7. Microsoft, Redmond, Washington, USA

    Chengyang Zhang

  8. California State University, Sacramento, California, USA

    Haiquan Chen

  9. LinkedIn, Sunnyvale, California, USA

    Liang Tang

  10. University of North Texas, Denton, Texas, USA

    Yan Huang

  11. Virginia Tech, Falls Church, Virginia, USA

    Chang-Tien Lu

  12. Oracle, Redwood Shores, California, USA

    Siva Ravada

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Andersen, O., Krogh, B.B., Torp, K. (2017). ELVIS: Comparing Electric and Conventional Vehicle Energy Consumption and CO2 Emissions. In: Gertz, M., et al. Advances in Spatial and Temporal Databases. SSTD 2017. Lecture Notes in Computer Science(), vol 10411. Springer, Cham. https://doi.org/10.1007/978-3-319-64367-0_28

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  • DOI: https://doi.org/10.1007/978-3-319-64367-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64366-3

  • Online ISBN: 978-3-319-64367-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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