DocumentCode :
1847986
Title :
The elevation factor: Digital elevation model quality and sampling impacts on electric vehicle energy estimation errors
Author :
Graser, Anita ; Asamer, Johannes ; Ponweiser, Wolfgang
Author_Institution :
Mobility Dept., Austrian Inst. of Technol., Vienna, Austria
fYear :
2015
fDate :
3-5 June 2015
Firstpage :
81
Lastpage :
86
Abstract :
Energy used to overcome elevation is a significant factor in estimating energy consumption of moving objects and (electric) vehicles in particular. A common source of elevation data for electric vehicle energy estimations are digital elevation models (DEMs). These DEMs are available from multiple providers and with varying quality as free or paid data. This paper presents an evaluation of the impacts of DEM quality and methods used to sample DEM values for elevation profiles on energy estimations for electric vehicle routes. The evaluation is carried out for two different study areas: an urban mostly flat area, and a rural alpine area. An overview of the error obtained with different DEMs and sampling methods in these two areas is provided. These results can serve as a reference for estimating the magnitude of the energy estimation error in case high resolution elevation data is not available in a study area.
Keywords :
digital elevation models; electric vehicles; energy consumption; power engineering computing; traffic engineering computing; DEMs; digital elevation model quality; digital elevation models; electric vehicle energy estimation errors; electric vehicle energy estimations; electric vehicle routes; elevation factor; elevation profiles; energy consumption; rural alpine area; sampling impacts; sampling methods; Cities and towns; Energy consumption; Energy measurement; Estimation; Sampling methods; Vehicles; digital elevation model; e-mobility; electric vehicle; energy estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015 International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-9-6331-3140-4
Type :
conf
DOI :
10.1109/MTITS.2015.7223240
Filename :
7223240
Link To Document :
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