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

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.

本文件包含用于生成题为《燃油消耗的多变量及位置特异性关联：一项测试赛道研究》（Multivariate and location-specific correlates of fuel consumption: A test track study）的手稿中所有图表的Matlab脚本。该手稿发表于《Transportation Part D》期刊，DOI链接为：https://doi.org/10.1016/j.trd.2020.102627

本脚本基于测试赛道数据开展燃油消耗预测，该方法可实现位置特异性的油耗预测。

共有91名驾驶员驾驶两款车型（雷诺梅甘娜（Renault Mégane）、雷诺克利奥（Renault Clio）），沿高速公路与山地道路两条测试路线，并遵循普通驾驶与节油驾驶两种驾驶指令，总计完成4617圈测试。

基于单圈数据的多变量分析显示，与车速、转速（RPM）及节气门开度相关的指标具备较强的预测价值，但仍有相当比例的方差可由行驶路线与车辆类型解释。后续的位置特异性分析表明，驾驶车速与节气门开度的预测相关性在单圈过程中波动显著，在部分位置甚至呈现负相关。