Characterisation of motorway driving style using naturalistic driving data

Teemu H. Itkonen; Esko Lehtonen; Selpi

doi:10.1016/j.trf.2020.01.003

Characterisation of motorway driving style using naturalistic driving data

Teemu H. Itkonen^*
, Esko Lehtonen
, Selpi

^*Corresponding author for this work

Not published at VTT

Chalmers University of Technology
Aalto University

Research output: Contribution to journal › Article › Scientific › peer-review

28 Citations (Scopus)

Abstract

The study of measurable differences between drivers has ramifications for several sub-fields in traffic and transportation research. Better understanding of the variability in individual driving styles would be especially useful for understanding driver preferences, psychological mechanisms for vehicle control and for developing more realistic traffic simulations. In our study based on a large naturalistic data set, we investigated the driving style of 76 individuals driving in a motorway setting. We discovered that the majority of between-driver variation in keeping longitudinal and lateral safety margins, lane changing frequency, acceleration and speed preference, can be reduced to two dimensions, which we interpret as habitualised motives centred around mental effort and expediency.

Original language	English
Pages (from-to)	72-79
Journal	Transportation Research Part F: Traffic Psychology and Behaviour
Volume	69
DOIs	https://doi.org/10.1016/j.trf.2020.01.003
Publication status	Published - Feb 2020
MoE publication type	A1 Journal article-refereed

Funding

This work was supported by the Academy of Finland , Grant No. 279827.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.1016/j.trf.2020.01.003Licence: CC BY

Cite this

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AU - Lehtonen, Esko

AU - Selpi,

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JF - Transportation Research Part F: Traffic Psychology and Behaviour

ER -

Characterisation of motorway driving style using naturalistic driving data

Abstract

Funding

UN SDGs

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