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

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.

• Record URL:
  • https://doi.org/10.1080/03081060.2019.1609221
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
• Supplemental Notes:
  • © 2019 Shuo Li et al. Published by Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Li, Shuo
  • Blythe, Phil
  • Guo, Weihong
  • Namdeo, Anil
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 470-497
• Serial:
  • Transportation Planning and Technology
  • Volume: 42
  • Issue Number: 5
  • Publisher: Taylor & Francis
  • ISSN: 0308-1060
  • Serial URL: https://www.tandfonline.com/toc/gtpt20/current

Subject/Index Terms

• TRT Terms: Aged drivers; Autonomous vehicle handover; Control systems; Human machine systems; Intelligent vehicles
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01715689
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 30 2019 1:02PM