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Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles

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  • Shuo Li
  • Phil Blythe
  • Weihong Guo
  • Anil Namdeo

Abstract

Driving is closely linked to older people’s mobility and independence. However, age-related functional decline reduces their safe driving abilities and thereby their wellbeing may decline. The rapid development of vehicle automation has the potential to enhance the mobility of older drivers by enabling them to continue driving safer for longer. So far only limited work has been carried out to study older drivers’ interaction with highly automated vehicles (HAV). This study investigates the effect of age and level of driving disengagement on the takeover control performance in HAV. A driving simulation study with 76 drivers has been conducted. Results showed that 20 s was sufficient for drivers to take over control from HAV. Older drivers take longer to respond and make decisions than younger drivers. The age effect on some aspects of takeover quality, in terms of operating steering wheel and pedals, is still pronounced. In addition, complete disengagement in driving in HAV leads to a longer takeover time and worse takeover quality, and it affects older drivers more seriously than younger drivers. The results highlight that an age-friendly design of human-machine interaction is important for enhancing the safety and comfort of older drivers when interacting with HAVs.

Suggested Citation

  • Shuo Li & Phil Blythe & Weihong Guo & Anil Namdeo, 2019. "Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(5), pages 470-497, July.
    • Handle: RePEc:taf:transp:v:42:y:2019:i:5:p:470-497
    DOI: 10.1080/03081060.2019.1609221
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    Cited by:

    1. Yanghanzi Zhang & Shuo Li & Philip Blythe & Simon Edwards & Weihong Guo & Yanjie Ji & Jin Xing & Paul Goodman & Graeme Hill, 2022. "Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    2. Jurijus Zaranka & Robertas Pečeliūnas & Vidas Žuraulis, 2021. "A Road Safety-Based Selection Methodology for Professional Drivers: Behaviour and Accident Rate Analysis," IJERPH, MDPI, vol. 18(23), pages 1-18, November.

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