The Impact of an Anticipatory Eco-Driver Assistant System in Different Complex Driving Situations on the Driver Behavior

Rommerskirchen, Christoph; Helmbrecht, Magnus; Bengler, Klaus

doi:10.1109/mits.2014.2307078

Cited by 27 publications

(19 citation statements)

References 15 publications

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“…Different fuel savings were reported by these works, like 7.6% [61], 1.4% and 8.1% depending on interface [44], 7% [49,56], 11.04% [53], 4.1% [39]. Driving simulator studies are also demonstrated, as these provide safe environment for experiments, [51,62]. Finally, few works used simulation for their studies, [25,52,58].…”

Section: Design Features Analysismentioning

confidence: 99%

“…To address the distraction issue, visual feedback is often complemented with audio feedback, like in [58,61]. Rommerskirchen et al [62] analysed the visual behaviour of the respondents in their study, they concluded that the percentage of the glance times on the HMI is reduced as a driving situation becomes more complex. An interesting solution is proposed by Orfila et al [54], in their system, user interface buttons are disabled when a given speed is exceeded.…”

Section: Safety Features Analysismentioning

confidence: 99%

See 1 more Smart Citation

How to support fuel‐efficient driving?

Gilman

Georgiev

Tikka

et al. 2018

IET Intelligent Transport Systems

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Energy efficient personal transportation requires fuel-efficient and route aware driving. Driving coaching systems can provide to drivers all the information and guidance that is needed to learn these skills. However, persuading drivers to change their driving behaviour is a challenging task. We identify functional, design, safety, and persuasive features for systems supporting fuel-efficiency. Moreover, we analyse how these features are supported by state-of-the-art systems targeting reduced fuel consumption. Finally, based on our analysis, we discuss open issues and opportunities for future development of fuel-efficiency support systems. The literature and the reviewed research in the present paper illustrate the needs for overall situation assessment and benefits of careful and multifaceted approach for systems design when it comes to eco-driving: an effective system will make use of a versatile design toolkit in order to obtain enduring behavioural results.

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Section: Design Features Analysismentioning

confidence: 99%

Section: Safety Features Analysismentioning

confidence: 99%

How to support fuel‐efficient driving?

Gilman

Georgiev

Tikka

et al. 2018

IET Intelligent Transport Systems

View full text Add to dashboard Cite

show abstract

“…The authors in [7] propose a system to provide real-time advice based on changing traffic and infrastructure conditions by adjusting the speed of the vehicle if the information of the timing in upcoming traffic lights is known. In [12], the authors analyzed the impact of an Anticipatory Eco-Driver Assistant System (ADAS) in different complex driving situations on the driver behavior. They found a significant fuel reduction with the ADAS (between 9 and 15 percent).…”

Section: Related Workmentioning

confidence: 99%

Artemisa: A Personal Driving Assistant for Fuel Saving

Magaña

Muñoz-Organero

2016

IEEE Trans. on Mobile Comput.

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“…The overall fuel consumption was reduced by about 10%. Reference [36] gives an overview on the different ADAS.…”

Section: Ecodriving Assistantmentioning

confidence: 99%

WATI: Warning of Traffic Incidents for Fuel Saving

Magaña

Muñoz-Organero

2016

Mobile Information Systems

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Traffic incidents (heavy traffic, adverse weather conditions, and traffic accidents) cause an increase in the frequency and intensity of the acceleration and deceleration. The result is a very significant increase in fuel consumption. In this paper, we propose a solution to reduce the impact of such events on energy consumption. The solution detects the traffic incidents based on measured telemetry data from vehicles and the different driver profiles. The proposal takes into account the rolling resistance coefficient, the road slope angle, and the vehicles speeds, from vehicles which are on the scene of the traffic incident, in order to estimate the optimal deceleration profile. Adapted advice and feedback are provided to the drivers in order to appropriately and timely release the accelerator pedal. The expert system is implemented on Android mobile devices and has been validated using a dataset of 150 tests using 15 different drivers. The main contribution of this paper is the proposal of a system to detect traffic incidents and provide an optimal deceleration pattern for the driver to follow without requiring sensors on the road. The results show an improvement on the fuel consumption of up to 13.47%.

show abstract

The Impact of an Anticipatory Eco-Driver Assistant System in Different Complex Driving Situations on the Driver Behavior

Cited by 27 publications

References 15 publications

How to support fuel‐efficient driving?

How to support fuel‐efficient driving?

Artemisa: A Personal Driving Assistant for Fuel Saving

WATI: Warning of Traffic Incidents for Fuel Saving

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