TY - DATA
T1 - Supplementary material for the paper: Multivariate and location-specific correlates of fuel consumption: A test track study
PY - 2021/03/05
AU - Timo Melman
AU - D.A. (David) Abbink
AU - Xavier Mouton
AU - Adriana tapus
AU - Joost de Winter
UR - https://data.4tu.nl/articles/dataset/Supplementary_material_for_the_paper_Multivariate_and_location-specific_correlates_of_fuel_consumption_A_test_track_study/14139866/1
DO - 10.4121/14139866.v1
KW - Analysis files
KW - Eco-driving
KW - Driving metrics
KW - CAN-bus data
KW - Principal component analysis (PCA)
KW - Test track
N2 - 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  <br><br>In this script we predicted fuel consumption using test track data, an approach that allowed for location- specific predictions.<br><br>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 instructions (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.
ER -