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首页> 外文期刊>Transportation research >Drivers' ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour
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Drivers' ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour

机译:驾驶员学习环保驾驶技能的能力;对燃油效率和安全驾驶行为的影响

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摘要

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. (C) 2015 Elsevier Ltd. All rights reserved.
机译:尽管驾驶本质上是一项至关重要的安全任务,但对节油驾驶技术的认识已在公共和商业领域中广为流行。绿色驾驶,无论是出于节约资金还是节省环境的动机,都有可能大量减少温室气体的产生。本文着眼于驾驶员与他们的车辆之间的交互,哪种类型的生态驾驶信息易于使用和学习,同时又不影响安全性。一项模拟器研究评估了在山坡驾驶环境下的视觉和触觉生态驾驶反馈系统。研究了驾驶员准确遵循建议的能力以及他们优先考虑安全驾驶的倾向。我们发现,任何类型的生态驾驶建议都可以改善性能,并且尽管连续的实时视觉反馈被证明是最有效的,但是这种方式显然减少了对前视的关注并增加了主观工作量。另一方面,触觉力系统对报告的工作量影响不大,但效果不如视觉系统。折衷方案可能是一种混合动力系统,它会不断适应驾驶员的表现。 (C)2015 Elsevier Ltd.保留所有权利。

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