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A simulator evaluation of in-vehicle human machine interfaces for eco-safe driving

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  • Vaezipour, Atiyeh
  • Rakotonirainy, Andry
  • Haworth, Narelle
  • Delhomme, Patricia

Abstract

In-vehicle human machine interfaces (HMI) represent a promising approach for informing drivers what they should do to adopt an eco-safe driving style, which is associated with reduced fuel consumption and improved safety. However, there is limited understanding of the driver acceptance of various types of in-vehicle HMIs and the impact of such systems on driving behaviour. Forty drivers participated in a simulated driving experiment to evaluate three variations of an eco-safe in-vehicle HMI: visual advice only; visual feedback only; or visual advice and feedback. To evaluate the impact of the different HMIs, subjective and objective measures were analysed, including fuel consumption, eco-safe driving behaviour, driver acceptance, and workload. Results indicate that all system types were associated with the relatively high levels of driver acceptance, with the advice only system accepted the most. While all system types produced relatively low levels of workload for drivers, systems involving feedback significantly increased the workload associated with using the interface. The findings suggest that the combined advice and feedback system has the potential to simultaneously reduce fuel consumption and improve eco-safe driving behaviour. Specifically, both advice and feedback appeared to be critical in encouraging positive changes in eco-safe driving behaviour. Our contribution can inform the design and development of future in-vehicle HMIs to improve eco-safe driving style that are accepted by drivers and have minimal adverse impacts on driver workload.

Suggested Citation

  • Vaezipour, Atiyeh & Rakotonirainy, Andry & Haworth, Narelle & Delhomme, Patricia, 2018. "A simulator evaluation of in-vehicle human machine interfaces for eco-safe driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 696-713.
    • Handle: RePEc:eee:transa:v:118:y:2018:i:c:p:696-713
    DOI: 10.1016/j.tra.2018.10.022
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    References listed on IDEAS

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    1. Bonsall, Peter & Liu, Ronghui & Young, William, 2005. "Modelling safety-related driving behaviour--impact of parameter values," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 425-444, June.
    2. Martin, Elliot W & Chan, Nelson D & Shaheen, Susan A, 2012. "How Public Education on Ecodriving Can Reduce Both Fuel Use and Greenhouse Gas Emissions," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6012x8nb, Institute of Transportation Studies, UC Berkeley.
    3. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    4. Barkenbus, Jack N., 2010. "Eco-driving: An overlooked climate change initiative," Energy Policy, Elsevier, vol. 38(2), pages 762-769, February.
    5. Saifuzzaman, Mohammad & Zheng, Zuduo & Mazharul Haque, Md. & Washington, Simon, 2015. "Revisiting the Task–Capability Interface model for incorporating human factors into car-following models," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 1-19.
    6. Sivak, Michael & Schoettle, Brandon, 2012. "Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy," Transport Policy, Elsevier, vol. 22(C), pages 96-99.
    7. Gardner, Benjamin & Whittington, Craig & McAteer, John & Eccles, Martin P. & Michie, Susan, 2010. "Using theory to synthesise evidence from behaviour change interventions: The example of audit and feedback," Social Science & Medicine, Elsevier, vol. 70(10), pages 1618-1625, May.
    8. Vaezipour, Atiyeh & Rakotonirainy, Andry & Haworth, Narelle & Delhomme, Patricia, 2017. "Enhancing eco-safe driving behaviour through the use of in-vehicle human-machine interface: A qualitative study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 247-263.
    9. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    10. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    11. Alam, Md. Saniul & McNabola, Aonghus, 2014. "A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations," Transport Policy, Elsevier, vol. 35(C), pages 42-49.
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