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A robust, data-driven methodology for real-world driving cycle development

Abstract:

This paper develops a robust, data-driven Markov Chain method to capture real-world behaviour in a driving cycle without deconstructing the raw velocity-time sequence. The accuracy of the driving cycles developed using this method was assessed on nine metrics as a function of the number of velocity states, driving cycle length and number of Markov repetitions. The road grade was introduced using vehicle specific power and a velocity penalty. The method was demonstrated on a corpus of 1180. km...

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Publication status:
Published

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Publisher copy:
10.1016/j.trd.2012.03.003

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Journal:
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
Volume:
17
Issue:
5
Pages:
389-397
Publication date:
2012-07-05
DOI:
ISSN:
1361-9209
URN:
uuid:63377afc-2c32-4318-9481-8f078781cda1
Source identifiers:
326401
Local pid:
pubs:326401

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