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 Citro¨en Cactus is compared to the popular EV Nissan Leaf.
It is shown that for a typical scenario it is possible reduce CO2 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.
(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 Citro¨en Cactus is compared to the popular EV Nissan Leaf.
It is shown that for a typical scenario it is possible reduce CO2 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.
Bidragets oversatte titel | ELVIS: Sammenlign elektriske og konventionelle køretøjers energi forbrug og CO2 udledning |
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Originalsprog | Engelsk |
Titel | Advances in Spatial and Temporal Databases : 15th International Symposium, SSTD 2017, Arlington, VA, USA, August 21 – 23, 2017, Proceedings |
Antal sider | 6 |
Forlag | Springer |
Publikationsdato | 21 aug. 2017 |
Sider | 421-426 |
ISBN (Trykt) | 978-3-319-64366-3 |
ISBN (Elektronisk) | 978-3-319-64367-0 |
DOI | |
Status | Udgivet - 21 aug. 2017 |
Begivenhed | 15th International Symposium on Spatial and Temporal Databases - George Mason University, Arlington Campus, Washington, USA Varighed: 21 aug. 2017 → 23 aug. 2017 https://sstd2017.org/ |
Konference
Konference | 15th International Symposium on Spatial and Temporal Databases |
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Lokation | George Mason University, Arlington Campus |
Land/Område | USA |
By | Washington |
Periode | 21/08/2017 → 23/08/2017 |
Internetadresse |
Navn | Lecture Notes in Computer Science |
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Vol/bind | 10411 |
ISSN | 0302-9743 |
Emneord
- Electric vehicle
- CO2
- Fuel
- kWh
- Vehicle range