Analyse_Melman_TRD_2021 - clean.zip (2.04 MB)

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

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posted on 05.03.2021, 08:11 by Timo MelmanTimo Melman, D.A. (David) Abbink, Xavier Mouton, Adriana tapus, Joost de WinterJoost de Winter
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

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