DocumentCode
2515284
Title
Estimating energy consumption for routing algorithms
Author
Kraschl-Hirschmann, Karin ; Fellendorf, Martin
Author_Institution
Inst. for Highway Eng. & Transp. Planning, Graz Univ. of Technol., Graz, Austria
fYear
2012
fDate
3-7 June 2012
Firstpage
258
Lastpage
263
Abstract
Due to increased public discussion on global climate change and increased awareness of environmental issues in general, a variety of transport related strategies are being developed to reduce the energy consumption of road travel. Pre-trip journey planners and on-trip navigation systems are widely used to identify optimal routes. Travel time, trip distance and travel cost are usually used as criteria to search for the best route and suitable alternatives. However, energy use could also be used as a criterion in these systems to identify energy minimizing routes will be one measure to reduce fuel consumption. In order to identify these ”eco-friendly” routes, the energy consumption for each link of a network must be computed quickly and precisely. This paper presents an approach for calculating link energy consumption based on the actual power needed to overcome the driving resistance for each link using link travel speeds and v/c-ratios. The proposed method can be embedded in routing algorithms and be used as one component in the optimization of the route algorithm´s generalized cost function.
Keywords
air pollution; climate mitigation; road traffic; driving resistance; eco-friendly route; energy consumption estimation; environmental issue; fuel consumption reduction; global climate change; link energy consumption; link travel speed; on-trip navigation system; optimal route identification; pre-trip journey planner; public discussion; road travel; route algorithm generalized cost function; routing algorithm; travel cost; travel time; trip distance; Acceleration; Energy consumption; Engines; Fuels; Resistance; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium (IV), 2012 IEEE
Conference_Location
Alcala de Henares
ISSN
1931-0587
Print_ISBN
978-1-4673-2119-8
Type
conf
DOI
10.1109/IVS.2012.6232127
Filename
6232127
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