Xiaoyuan Zhao

PhD Scholar

Xiaoyuan Zhao’s research focuses on driver acceptance and driver behaviour in highly automated driving (HAD) systems. Specifically, it investigates the dynamic interaction process between human drivers, HAD systems, and other road users in order to identify how to achieve an optimal level of trust among all these actors to optimise road safety and driving efficiency.

DOCTORAL RESEARCH

“The acceptance of highly automated driving systems and drivers’ behaviours in reaction to interactions between vehicles and other road users”

THESIS SUPERVISORS

Professor Andry Rakotonirainy, Dr Xiaomeng Li, Professor Patricia Delhomme (external supervisor, IFSTTAR), and Dr Samira Bourgeois-Bougrine (external supervisor, Universite de Paris)

RESEARCH INTERESTS

  • Human factors and ergonomics in automated systems
  • Automated vehicles
  • Traffic psychology and driver behaviour
  • Human machine interaction

AWARDS

2020 QUT Postgraduate Research Award (QUTPRA)