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How to Estimate the Probability of Rare Longdistance Trips

 
: Plötz, Patrick

:
Volltext urn:nbn:de:0011-n-2791713 (200 KByte PDF)
MD5 Fingerprint: 33e89e7bb558832dd8da80c8cada824b
Erstellt am: 20.2.2014


Karlsruhe: Fraunhofer ISI, 2014, 13 S.
Working Paper Sustainability and Innovation, S1/2014
Englisch
Bericht, Elektronische Publikation
Fraunhofer ISI ()

Abstract
The vehicle distances travelled by individual users can very strongly between different days. This is particularly problematic for electric vehicles since trips larger than the electric range clearly reduce the vehicle's utility. Here we estimate the number of days with driving distance larger than a given threshold for individual users based on their observed driving behaviour. The general formalism is developed and estimates for the main observable and standard errors are derived based on the assumption of individual log-normal distributed daily vehicle kilometres travelled. Numerical simulations of driving profiles demonstrate the validity and accuracy of the analytical results.

: http://publica.fraunhofer.de/dokumente/N-279171.html