Design and Assessment of the Impact of a Fuel-Efficiency Support Tool

Hibberd

Transportation Research Part C: Emerging Technologies

2015

Whilst driving is inherently a safety critical task, awareness of fuel efficient driving techniques has gained popularity in both the public and commercial domains. Green driving, whether motivated by financial or environmental savings, has the potential to reduce the production of greenhouse gases by a significant amount. This paper focusses on the interaction between the driver and their vehicle -what type of eco driving information is easy to use and learn whilst not compromising safety. A simulator study evaluated both visual and haptic eco driving feedback systems in the context of hill driving. The ability of drivers to accurately follow the advice, as well as their propensity to prioritise it over safe driving was investigated. We found that any type of eco driving advice improved performance and whilst continuous real time visual feedback proved to be the most effective, this modality obviously reduces attention to the forward view and increases subjective workload. On the other hand, the haptic force system had little effect on reported workload, but was less effective that the visual system. A compromise may be a hybrid system that adapts to drivers' performance on an on going basis.

Section: Introductionmentioning

confidence: 99%

Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

Hibberd

Transportation Research Part C: Emerging Technologies

2015

IEEE Trans. Intell. Transport. Syst.

“…Van der Voort et al [7] conducted experiments where such a device encouraged drivers to keep the engine near its point of optimal efficiency, and demonstrated fuel savings of 16% in combined cycle driving (urban, rural, and highway) using a driving simulator. The same device was then shown to perform well in real-world conditions [8], [9], achieving an impressive fuel reduction of 11% during combined cycle driving. These results are based on a prescribed route but on relatively few hours of driving-around 160 h in real-world conditions.…”

Section: A Driver Assistance Toolsmentioning

confidence: 98%

Development and Field Trial of a Driver Assistance System to Encourage Eco-Driving in Light Commercial Vehicle Fleets

Vagg

Brace

Hari

et al. 2013

Driver training schemes and eco-driving techniques can reduce fuel consumption by 10%, but their effectiveness depends on the willingness of drivers to change their behavior, and changes may be short lived. Onboard driver assistance systems have been proposed, which encourage driving style improvement. Such systems, when fitted in commercial vehicles, can assume some authority since uneconomical driving styles can be reported to a fleet manager. A driver assistance system has been developed and tried in the field with commercial vehicle drivers. The system aims to reduce fuel consumption by encouraging two behaviors: reduced rates of acceleration, and early upshifting through the gears. Visual feedback is reinforced with audible warnings when the driver makes uneconomical power demands of the engine. Field trials of the system were undertaken in the U.K. using 15 light commercial vehicles, driven by their professional drivers from a range of commercial applications. The trials consisted of two-week baseline data collection, which drivers were not aware of, followed by two weeks of data collection with the system being active. During the trials a total of 39 300 km of trip data were collected, which demonstrated fuel savings of up to 12% and average fuel savings of 7.6%.Index Terms-Driver behavior, driver information systems, eco-driving, fuel economy, gear shift indicator (GSI), vehicle driving.

Discrete Dynamics in Nature and Society

“…In addition to the common effects, increasing attention has been paid to the indirect effect of ITS technologies on reducing the fuel consumption and CO 2 emissions. Many researches have demonstrated the environmental improvement of ITS technologies [1,2] especially in car navigation systems including Ecodriving [3,4] and Ecorouting [5,6]. Therefore, it is of significance to establish emission estimation models to evaluate the environmental effectiveness of ITS strategies with enough estimation accuracy.…”

Section: Introductionmentioning

confidence: 99%

Emissions and Fuel Consumption Modeling for Evaluating Environmental Effectiveness of ITS Strategies

Song

Yao

Zuo

et al. 2013

Road transportation is a major fuel consumer and greenhouse gas emitter. Recently, the intelligent transportation systems (ITSs) technologies, which can improve traffic flow and safety, have been developed to reduce the fuel consumption and vehicle emissions. Emission and fuel consumption estimation models play a key role in the evaluation of ITS technologies. Based on the influence analysis of driving parameters on vehicle emissions, this paper establishes a set of mesoscopic vehicle emission and fuel consumption models using the real-world vehicle operation and emission data. The results demonstrate that these models are more appropriate to evaluate the environmental effectiveness of ITS strategies with enough estimation accuracy.