Reducing fuel consumption and carbon emissions through eco-drive training

Ayyildiz, Kemal; Cavallaro, Federico; Nocera, Silvio; Willenbrock, Ralf

doi:10.1016/j.trf.2017.01.006

Cited by 78 publications

(53 citation statements)

References 22 publications

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“…Alongside these initiatives, we must not overlook measures for reducing the pollution produced by road vehicles, such as the technological improvement of vehicle fleets and the use of alternative fuels. Though they do not act directly on modal diversion, they may contribute to reducing local and global emissions and, in some cases, noise pollution [39]. In this sense, the Bolzano hydrogen centre is an interesting experiment (the first in Italy), which could be replicated at other points of the network to create a real hydrogen corridor.…”

Section: Discussionmentioning

confidence: 99%

Options for reducing external costs from freight transport along the Brenner corridor

Nocera

Cavallaro

Galati

2018

Eur. Transp. Res. Rev.

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The Brenner is the most heavily travelled transalpine corridor in terms of freight transport. The current modal split tends heavily towards road (71% road -29% rail), with significant repercussions in terms of environmental and social impacts. Indeed, Alpine areas generate external costs that are up to four times higher than flat areas. The promotion of railway, which is the least impacting transport mode, has thus a strategic value. For this reason, the European Union, the Alpine macro-region and the Tyrol-South Tyrol-Trentino Euroregion are promoting multi-level strategies to reduce the impact generated by freight transport along the Brenner corridor. This paper analyses each level, focussing then on the Euroregion. Its ambitious objective is to achieve a balance between transport modes in the Alpine corridor by 2027, and then to invert them (29% road -71% rail) by 2035. This paper aims to calculate the savings of external costs deriving from the achievement of this objective. If the aggregated data from 2015 to 2035 are considered and the Euroregion scenario is compared with a prosecution of the current trend, the saving in external costs would amount to €262 M (− 26% than the current trend). This value is not negligible; being equal to 4.7% of the annual public expenditure incurred by the Autonomous Province of Bolzano, it suggests to policy makers the importance of taking up measures to encourage the modal shift.

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Section: Discussionmentioning

confidence: 99%

Options for reducing external costs from freight transport along the Brenner corridor

Nocera

Cavallaro

Galati

2018

Eur. Transp. Res. Rev.

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“…Therefore, this concept can be seen as a set of rules that differ from the driving that motorists are used to performing, including calm driving, the avoidance of unnecessary stops, and the anticipation and elimination of idling when possible. Several authors remark that eco-driving could effectively contribute to reducing overall fuel consumption and CO 2 emissions if adequate education about strategic, tactical, and operational decisions were provided to drivers [26][27][28]. In this sense, during the trip, and when the trip has finished, providing practical recommendations might be useful.…”

Section: Related Researchmentioning

confidence: 99%

“…Nevertheless, a natural evolution on those lessons provides instantaneous feedback of the driver's operational decisions [30]. It has been found that on-trip eco-drive support is more efficient, with reductions of up to 10% on fuel consumption when compared to post-drive assessment (which only achieves a 5% reduction) [27]. However, the former is more expensive and it requires complex algorithms as well as real-time technology dependence, while the latter can be provided through an end-of-trip fuel consumption assessment [27].…”

Section: Related Researchmentioning

confidence: 99%

An Intelligent System-on-a-Chip for a Real-Time Assessment of Fuel Consumption to Promote Eco-Driving

et al. 2020

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Pollution that originates from automobiles is a concern in the current world, not only because of global warming, but also due to the harmful effects on people’s health and lives. Despite regulations on exhaust gas emissions being applied, minimizing unsuitable driving habits that cause elevated fuel consumption and emissions would achieve further reductions. For that reason, this work proposes a self-organized map (SOM)-based intelligent system in order to provide drivers with eco-driving-intended driving style (DS) recommendations. The development of the DS advisor uses driving data from the Uyanik instrumented car. The system classifies drivers regarding the underlying causes of non-optimal DSs from the eco-driving viewpoint. When compared with other solutions, the main advantage of this approach is the personalization of the recommendations that are provided to motorists, comprising the handling of the pedals and the gearbox, with potential improvements in both fuel consumption and emissions ranging from the 9.5% to the 31.5%, or even higher for drivers that are strongly engaged with the system. It was successfully implemented using a field-programmable gate array (FPGA) device of the Xilinx ZynQ programmable system-on-a-chip (PSoC) family. This SOM-based system allows for real-time implementation, state-of-the-art timing performances, and low power consumption, which are suitable for developing advanced driving assistance systems (ADASs).

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“…Ayyildiz et al [22] compared fuel consumption and carbon emissions in terms of driving styles before and after eco-driving training. Tong et al [23] estimated the life-cycle ownership costs for buses and infrastructure as well as the environmental externalities of greenhouse gases and air pollutants emitted during the life cycle of buses powered by alternative fuels.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Economic and Environmental Effects of Public Transport Subsidy Policies: a Spatial CGE Model of Beijing

Ping

Wang²,

Chen

2018

Mathematical Problems in Engineering

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Public transport plays an important role in the environment. This study established a Spatial Computable General Equilibrium (SCGE) model to examine the economic and environmental effects of public transport subsidy policies. The model includes firms, consumers, and traffic modules in one framework. Statistical data from Beijing were used in calibration to obtain benchmark equilibrium. Based on the equilibrium, simulations compared citywide social welfare, jobs-housing spatial population distribution, and environmental outputs under four subsidy policies: fare subsidy, cash grants, road expansion, and public transport speedup. Based on the results regarding the effects of public transport policies, conclusions can be drawn about which policies will have greater overall social influence and should therefore be used.

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Reducing fuel consumption and carbon emissions through eco-drive training

Cited by 78 publications

References 22 publications

Options for reducing external costs from freight transport along the Brenner corridor

Options for reducing external costs from freight transport along the Brenner corridor

An Intelligent System-on-a-Chip for a Real-Time Assessment of Fuel Consumption to Promote Eco-Driving

Economic and Environmental Effects of Public Transport Subsidy Policies: a Spatial CGE Model of Beijing

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