GI_Forum 2014, Volume 2 Geospatial Innovation for Society – Conference Proceedings
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2014, Volume 2 Geospatial Innovation for Society – Conference Proceedings
ISSN 2308-1708 Online Edition ISBN 978-3-87907-545-4 Print Edition ISBN 978-3-7001-7652-7 Online Edition
doi:10.1553/giscience2014
GI_Forum, Volume 1 2014, 566 pages Print edition is available at Wichmann-Verlag, Berlin
Anita Graser,
Johannes Asamer,
Melitta Dragaschnig
S. 165 - 174 doi:10.1553/giscience2014s165 Verlag der Österreichischen Akademie der Wissenschaften
Abstract: Reliable energy estimation methods are a very important step to addressing the range anxiety problem of electric vehicle adoption. Besides driving patterns and vehicle parameters, geographic information about elevation changes is one of the most important pieces of information to predict energy consumption. This paper presents a method to assess the impact of digital elevation model (DEM) quality on energy consumption estimation for electric vehicle routes. We demonstrate the use of this method by applying it to compare energy consumption estimates for 16,500 randomly generated routes, based on three recently released open DEM datasets: NASA Shuttle Radar Topographic Mission (SRTM) version 3.0, EU-DEM, and open government DEM data provided by the city of Vienna. Results show that energy consumption models tend to overestimate route energy consumption by a mean error of 2.9% and 15.8%, respectively, when lower-resolution DEMs are used to compute route elevation profiles. A spatial analysis of the error distribution shows that the mean error varies between different regions within the analysis area, with bigger error values in the hills and in the city centre indicating that highresolution elevation data is not only important in hilly and mountainous areas, but also in dense urban environments. Published Online: 2014/06/20 06:39:59 Object Identifier: 0xc1aa5572 0x0030d58f Rights:https://creativecommons.org/licenses/by-nd/4.0/
GIS as a technology has come a long way, from
the early adoption of technical wizardry to the
ubiquitous, if unconscious use by the masses. The
emergence of a GISociety is on its way through
technological development, theoretical and empirical
scientific research and inclusion of technology
into education with increasing pedagogical justification.
Defining new dimensions of hard- and software,
brainware and orgware are all needed to
further enhance the GISociety with new geospatial
innovations.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |