Formal characterization of an efficient driving evaluation process for companies of the transport sector

Pañeda, Xabiel G.; Garcı́a, Roberto; Díaz, Gabriel; Tuero, Alejandro G.; Pozueco, Laura; Mitre, Maria Augusta da Silveira; Melendi, David; Paneda, Alejandro G.

doi:10.1016/j.tra.2016.10.004

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…Studies also showed that eco-driving training was more effective under city conditions than highway conditions [106], and was more effective for manual transmission cars than automatic ones [101,106]. A main challenge of eco-driving training programs is the fair evaluation of the effectiveness [112]. There are many variables in a real-driving task and some would be out of control during experiments, such as changes in routes, traffic and road conditions, weather, number of passengers, and turn-over of drivers (several drivers many share one vehicle and one driver may drive different vehicles in a company or family context) [109].…”

Section: Training Programsmentioning

confidence: 99%

Eco-driving technology for sustainable road transport: A review

Huang

Zhou

et al. 2018

Renewable and Sustainable Energy Reviews

288

128

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Road transport consumes significant quantities of fossil fuel and accounts for a significant proportion of CO2 and pollutant emissions worldwide. The driver is a major and often overlooked factor that determines vehicle performance. Eco-driving is a relatively low-cost and immediate measure to reduce fuel consumption and emissions significantly. This paper reviews the major factors, research methods and implementation of eco-driving technology. The major factors of eco-driving are acceleration/deceleration, driving speed, route choice and idling. Eco-driving training programs and in-vehicle feedback devices are commonly used to implement eco-driving skills. After training or using in-vehicle devices, immediate and significant reductions in fuel consumption and CO2 emissions have been observed with slightly increased travel time. However, the impacts of both methods attenuate over time due to the ingrained driving habits developed over the years. These findings imply the necessity of developing quantitative eco-driving patterns that could be integrated into vehicle hardware so as to generate more constant and uniform improvements, as well as developing more effective and lasting training programs and in-vehicle devices. Current eco-driving studies mainly focus on the fuel savings and CO2 reduction of individual vehicles, but ignore the pollutant emissions and the impacts at network levels. Finally, the challenges and future research directions of eco-driving technology are elaborated.

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Section: Training Programsmentioning

confidence: 99%

Eco-driving technology for sustainable road transport: A review

Huang

Zhou

et al. 2018

Renewable and Sustainable Energy Reviews

288

128

View full text Add to dashboard Cite

show abstract

“…In our previous work [5], we defined other efficient driving patterns that also affect fuel consumption, but they are not so easily quantifiable as inertia. The reason is that we would have to compare their absence instead of their presence, as they represent inefficiency.…”

Section: Discussionmentioning

confidence: 99%

“…This means that x3 and x4 can only take exact values. In this case x3 = [2, 3,4,5,6] and x4 = [0, 1]. The reason why there is no x3 = 1 term is that, in decelerations, the ECU (Engine Control Unit) always engages the first gear in idle conditions, so fuel consumption is never null.…”

Section: Linear Regression Modelmentioning

confidence: 99%

“…Thus, in our previous research we developed an evaluation method based on some efficient driving patterns [5]. This method allows us to perform an objective evaluation of the skills of the drivers because it is based on real driving data.…”

Section: Introductionmentioning

confidence: 99%

“…We initially developed the inertia pattern [5], in which we looked for periods of time in which the vehicle was in motion and gear engaged without consumption. Its key performance indicator (KPI) is the percentage of time in which the vehicle runs with no consumption.…”

Section: Introductionmentioning

confidence: 99%

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Economic Impact of the Use of Inertia in an Urban Bus Company

et al. 2017

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Public transport companies face great expenses. In order to be profitable companies, they need to reduce costs in all aspects. In addition, many countries have increased taxes to force transport companies to reduce their fuel consumption and, thus, greenhouse effect emissions. Efficient driving is the cheapest way to achieve this goal. In this paper, we analyze the economic impact of one of the most influential efficient driving techniques in an urban bus company. We calculate the difference of consumption between a well-performed deceleration using the inertia of the vehicle and a loss of speed obtained by using the brakes. For this purpose, we compare a real track performed by any driver in a precise vehicle with a simulated ideal track. To obtain the deceleration of the simulation, we develop a linear regression model on over 170,000 samples captured from the same vehicle over a period of one month. The results show that the costs of the vehicle under test in one month may be reduced by more than 2500 € by using this technique. With these results, we can see that it is worth trying to anticipate different situations while driving only by applying inertia adequately.

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