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 language | English |
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Title of host publication | SIGSPATIAL'14:Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems |
Number of pages | 4 |
Publisher | Association for Computing Machinery |
Publication date | 4 Nov 2014 |
Pages | 473-476 |
ISBN (Print) | 978-1-4503-3131-9 |
DOIs | |
Publication status | Published - 4 Nov 2014 |
Event | 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) - Dallas, Texas, United States Duration: 4 Nov 2014 → 7 Nov 2014 |
Conference
Conference | 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2014) |
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Country/Territory | United States |
City | Dallas, Texas |
Period | 04/11/2014 → 07/11/2014 |
Keywords
- electric vehicles
- GPS
- can bus
- Spatial analysis
Fingerprint
Dive into the research topics of 'Electric and Conventional Vehicle Driving Patterns'. Together they form a unique fingerprint.Prizes
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Best Poster Award
Krogh, Benjamin Bjerre (Recipient), Andersen, Ove (Recipient) & Torp, Kristian (Recipient), 2014
Prize: Conference prizes