Abstract

This paper shows the impact of eco-driving training course on driving behaviour of 7 drivers, analysing two internal parameters: Scania Driver Support (SDS) parameter and Fuel Consumption (FC). Data were collected using Scania Fleet Management System (Scania FMS) over a period of one-year (1 + 2 + 4 + 6 months during the 2015 and 2016). Data for these two parameters of all drivers were recorded daily over a one-year period and calculated in average values on a monthly basis. A one-year cycle of average monthly ambient temperatures of wider geographical region was adopted as the most important external parameter of impact on eco-driving benefits. Longitudinal observation period is divided into: one month initial period of establishing the parameter values before the training (one month), short-term with eco-driving (two months), short-term without eco-driving (four months) and long-term (six months). Significantly higher values of SDS parameter (p < 0.05) and significant reduction of FC (p = 0.0310 < 0.05) were established with a higher average ambient temperature over a short-term period. A partial increase of SDS parameter value (p < 0.10) was established over a long-term period but the level of FC reversed to the values as before the training (p = 0.7554 > 0.05). The results indicate the potential of eco-driving training that manifests significantly positive effects only in good driving conditions. With bad weather conditions that correlate with bad driving conditions, the effects of eco-driving training are supressed with increased requirements for safer driving. Primary conclusion of the paper is that the eco-driving training principles have an apparent positive effect on reduction of FC and CO2 emission but are at the same time sensitive to environmental driving conditions.

Highlights

  • Fuel Consumption (FC) is the biggest component in the total energy consumption in the road transport consumption structure.Minimizing FC has many advantages for the driver including a reduction in the financial cost and the environmental impact.The basic classification of these factors is outlined in the literature. Odhams et al (2010) grouped the factors that affect the FC of the heavy goods vehicles into three categories: external factors, vehicle design factors and logistical factors.Weather conditions are classified as external factors that include a direct or indirect effect of meteorological phenomena on FC

  • The driving results for 7 drivers were analysed in the short period and the long period after the training, compared to the period before the training, using 3 parameters: (1) FC, (2) CO2 emission, (3) Scania Driver Support (SDS) parameter

  • The results indicated that the benefits of eco-driving are most prominent immediately after the training

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Summary

Introduction

FC is the biggest component in the total energy consumption in the road transport consumption structure.Minimizing FC has many advantages for the driver including a reduction in the financial cost and the environmental impact.The basic classification of these factors is outlined in the literature. Odhams et al (2010) grouped the factors that affect the FC of the heavy goods vehicles into three categories: external factors (traffic congestion, driver behaviour and weather conditions), vehicle design factors and logistical factors.Weather conditions are classified as external factors that include a direct or indirect effect of meteorological phenomena on FC. FC is the biggest component in the total energy consumption in the road transport consumption structure. Minimizing FC has many advantages for the driver including a reduction in the financial cost and the environmental impact. The basic classification of these factors is outlined in the literature. Odhams et al (2010) grouped the factors that affect the FC of the heavy goods vehicles into three categories: external factors (traffic congestion, driver behaviour and weather conditions), vehicle design factors and logistical factors. Weather conditions are classified as external factors that include a direct or indirect effect of meteorological phenomena on FC. The following three categories have the biggest impact on FC: environment temperature, air pressure and wind. Baker (1994) determined that the FC could be higher by 15...20% in the winter compared to the The following three categories have the biggest impact on FC: environment temperature, air pressure and wind. Baker (1994) determined that the FC could be higher by 15...20% in the winter compared to the

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