How to estimate the probability of rare long-distance trips

Patrick Plötz

No S1/2014, Working Papers "Sustainability and Innovation" from Fraunhofer Institute for Systems and Innovation Research (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.

Date: 2014
New Economics Papers: this item is included in nep-ecm and nep-tre
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/92412/1/778260070.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:fisisi:s12014

DOI: 10.24406/publica-fhg-296792

Access Statistics for this paper

More papers in Working Papers "Sustainability and Innovation" from Fraunhofer Institute for Systems and Innovation Research (ISI) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().