A Driver Advisory Tool to Reduce Fuel Consumption

Vagg, Christopher; Brace, Chris; Hari, Deepak; Akehurst, Sam; Ash, Lloyd

doi:10.4271/2012-01-2087

Cited by 13 publications

(6 citation statements)

References 11 publications

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“…3, the majority of studies were carried out in very short periods (a few runs in one or two days) and their percentages of fuel savings were typically higher than 10% [148,149,151,152]. However, longer term studies (several weeks or months) showed much lower fuel savings (< 8%) [120,[153][154][155][156][157]. This indicates that in-vehicle devices have the same limitation as training programs.…”

Section: Effectivenessmentioning

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: Effectivenessmentioning

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

“…On the other hand it is known from the literature the aggressiveness of the driver has an significant influence on fuel consumption. Ma et al [22] and Vagg et al [23] studied the effect of acceleration and driving styles which they concluded the acceleration has significant effect on acceleration. In this context the maximum longitudinal acceleration and deceleration and also the maximum lateral acceleration can be identified in the model.…”

Section: Modelling Methodologymentioning

confidence: 99%

A fuel consumption model for public transportation with 3-D road geometry approach

Özener¹,

Özkan²,

Orak³

et al. 2018

THERM SCI

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Public transportation fuel consumption modeling shows a great importance because of economic and environmental aspects. Considering to the metropolises with millions of inhabitants with circulating thousands of buses that uses intercity lines, its importance is becoming vital in planning both operation of transportation company and city mobility planning. In this context a detailed fuel consumption modelling approach for public transportation buses was used for vehicle fuel consumption assessment during operation. The methodology was developed with IPG TruckMaker + AVL Cruise co-simulation environment following instantaneous speed, load and 3-D road data primarily besides model parameters. The model was validated at one of the most important public transportation axle of the world, Istanbul Metrobus System, at two direction which carries over ~1 million passenger daily in 24 hours operation with petrol engine buses. The comparison simulation/measurements showed that the proposed fuel consumption model is accurate and can predict fuel consumption behavior for public transit buses in a reliable band. In addition, this methodology can be used to investigate various powertrain and operating scenarios near future for more efficient public transportation with high reliability.

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“…Different studies have focused on reducing fuel consumption in transportation companies through behavioural change interventions, including bus (Af Wåhlberg 2007;Strömberg, Karlsson 2013), van (Hari et al 2012;Siero et al 1989) and truck drivers (Schall et al 2016;Sullman et al 2015;Thijssen et al 2014), and even airline pilots (Gosnell et al 2016). These studies focus mainly on the effects and potential of goals and incentives (Gosnell et al 2016), education and training (Schall et al 2016;Sullman et al 2015;Thijssen et al 2014) and personalized feedback technologies (Gilman et al 2015;Harvey et al 2013;Joo, Lee 2014;McIlroy et al 2017;Vaezipour et al 2015;Vagg et al 2013) to reduce fuel consumption.…”

Section: Eco-driving and Behavioural Change Interventionsmentioning

confidence: 99%

Local Determinants of Driving Behaviours: Installation Theory Interventions to Reduce Fuel Consumption Among Truck Drivers in Colombia

Slotkus

Lahlou

Ortega³

et al. 2021

Transport

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Eco-driving has been linked to considerable reductions in negative externalities and costs for transportation companies, employees and communities (including fuel consumption, safety and emission benefits). Nevertheless, some of the biggest challenges to its implementation are related to promoting behavioural change among drivers. This paper presents the results of three behavioural field interventions that were successful to improve fuel efficiency in heavy freight transportation. The interventions brought further improvement even though the target company already had strong training, incentive, control and feedback procedures in place. The Installation Theory framework and the Subjective Evidence-Based Ethnography (SEBE) technique were used to systematically analyse determinants of driving behaviours, and to design cost-effective behavioural interventions based on social norms. The effects of three interventions were then tested using a pre-test post-test control group design among 211 drivers of the company. Results show significant decreases in average monthly fuel consumption of up to 4% in month 1 and up to 4.5% in month 3. Our findings show (with certain qualifications), that the Installation Theory framework and social norm interventions can be a cost-effective method to improve fuel efficiency in road freight transport companies, even when strong training, incentive, control and feedback procedures are already in place.

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A Driver Advisory Tool to Reduce Fuel Consumption

Cited by 13 publications

References 11 publications

Eco-driving technology for sustainable road transport: A review

Eco-driving technology for sustainable road transport: A review

A fuel consumption model for public transportation with 3-D road geometry approach

Local Determinants of Driving Behaviours: Installation Theory Interventions to Reduce Fuel Consumption Among Truck Drivers in Colombia

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