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

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.
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