Output details
15 - General Engineering
University of Oxford
Article title
A robust, data-driven methodology for real-world driving cycle development
Type
D - Journal article
Title of journal
Transportation Research Part D: Transport and Environment
Article number
-
Volume number
17
Issue number
5
First page of article
389
ISSN of journal
1361-9209
Year of publication
2012
URL
-
Number of additional authors
2
Additional information
This paper is the first to develop a robust, data-driven Markov Chain method to capture real-world behaviour in a driving cycle without deconstructing the raw velocity–time sequence. This enables an automatic and statistically robust methodology to enable many miles of recorded data to be converted to a short, representative drive cycle. Cenex (http://www.cenex.co.uk/) will be using this method to examine lorry fleet data over the summer of 2013, and to compare it with their standard simpler method.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Electrical and Electronic Engineering
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
