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Analysis of real driving data to explore travelling needs in relation to hybrid–electric vehicle solutions

Bruno Dalla Chiara, Francesco Deflorio and Marco Eid

Transport Policy, 2019, vol. 80, issue C, 97-116

Abstract: The paper presents a methodology and an analysis applied to a real-life dataset, which refer to an extended period that lasted more than one year, pertaining to trips undertaken in Europe by more than one thousand vehicles. The results in this paper are an example of the detailed information that can be extracted from rough data to support the decisions of stakeholders and final users (e.g. car makers, authorities, drivers), as well as to understand which road vehicle features will be able to comply with the observed daily usage of automobiles.

Keywords: Electric and hybrid automobiles; Real driving cycles; Private road transport; Data analysis; Driving classification; Battery autonomy; Vehicle electrification (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1016/j.tranpol.2018.04.009

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