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Multivariate and location-specific correlates of fuel consumption: A test track study

机译:多变量和位置特定的燃料消耗相关性:测试轨道研究

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摘要

Current predictors of fuel consumption are typically based on computer simulations or data collections in real traffic, where the route and vehicle type are not under the researcher?s control. Here, 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 Me?gane, 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. We conclude that there is considerable potential in instantaneous location-specific prediction of fuel consumption.
机译:燃料消耗的当前预测变量通常基于实际交通中的计算机模拟或数据收集,其中路线和车辆类型不是在研究人员的控制下。这里,我们使用测试轨道数据预测燃料消耗,一种允许位置特定预测的方法。九十一条司机共开设了4617辆圈,两辆车(雷诺,雷诺Clio),在两条路线(公路和山区),以及两个生态驾驶指令(正常和生态)。在圈的水平下的多变量分析显示出与速度,RPM和节气门位置相关的度量的强烈预测值,但是具有可占路线和车辆类型的大量方差。随后的位置特定分析表明,在膝盖和一些位置处的驱动速度和节流阀位置的预测相关性强烈地波动,并且在一些位置变为负。我们得出结论,在燃料消耗的瞬时定位特异性预测中存在相当大的潜力。

著录项

  • 来源
    《Transportation Research》 |2021年第3期|102627.1-102627.17|共17页
  • 作者单位

    Chassis Syst Dept Grp Renault 1 Ave Golf F-78280 Guyancourt France|Delft Univ Technol Fac 3mE Dept Cognit Robot Mekelweg 2 NL-2628 CD Delft Netherlands|ENSTA Paris Dept Comp & Syst Engn 828 Blvd Marchaux F-91762 Palaiseau France;

    Delft Univ Technol Fac 3mE Dept Cognit Robot Mekelweg 2 NL-2628 CD Delft Netherlands;

    Chassis Syst Dept Grp Renault 1 Ave Golf F-78280 Guyancourt France;

    ENSTA Paris Dept Comp & Syst Engn 828 Blvd Marchaux F-91762 Palaiseau France;

    Delft Univ Technol Fac 3mE Dept Cognit Robot Mekelweg 2 NL-2628 CD Delft Netherlands;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Eco-driving; Driving metrics; CAN-bus data; Principal component analysis (PCA); Test track;

    机译:生态驾驶;驾驶指标;CAN总线数据;主成分分析(PCA);测试轨道;

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