Supplementary material for the paper: Multivariate and location-specific correlates of fuel consumption: A test track study

doi: 10.4121/14139866.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14139866
Datacite citation style:
Melman, Timo; Abbink, D.A. (David); Mouton, Xavier; tapus, Adriana; de Winter, Joost (2021): Supplementary material for the paper: Multivariate and location-specific correlates of fuel consumption: A test track study. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14139866.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This file contains the Matlab script used to generate all figures in the manuscript named: Multivariate and location-specific correlates of fuel consumption: A test track study. Published in the journal Transportation Part D. https://doi.org/10.1016/j.trd.2020.102627

In this script we predicted fuel consumption using test track data, an approach that allowed for location- specific predictions.

Ninety-one drivers drove a total of 4617 laps, in two vehicles (Renault Mégane, Renault Clio), on two routes (highway and mountain), and with two eco-driving in
structions (normal and eco). A multivariate analysis at the level of laps showed a strong predictive value for metrics related to speed, RPM, and throttle position, but with a considerable amount of variance attributable to route and vehicle type. A subsequent location-specific analysis showed that the predictive correlation of driving speed and throttle position fluctuated strongly during the lap and at some locations even became negative.
history
  • 2021-03-05 first online, published, posted
publisher
4TU.ResearchData
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive robotics
Department of Computer and System Engineering, ENSTA Paris
Group Renault, Chassis Systems Department, Guyancourt, France

DATA

files (1)