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Vehicle Automation Field Test: Impact on Driver Behavior and Trust

  • Walter Morales Alvarez (Vortragende*r)

Aktivität: Vortrag oder PräsentationVortrag nach Bewerbung und AuswahlScience-to-science

Beschreibung

With the growing technological advances in autonomous driving, the transport industry and research community seek to determine the impact that autonomous vehicles (AV) will have on consumers, as well as identify the different factors that will influence their use. Most of the research performed so far relies on laboratory-controlled conditions using driving simulators, as they offer a safe environment for testing advanced driving assistance systems (ADAS). In this study we analyze the behavior of drivers that are placed in control of an automated vehicle in a real life driving environment. The vehicle is equipped with advanced autonomy, making driver control of the vehicle unnecessary in many scenarios, although a driver take over is possible and sometimes required. In doing so, we aim to determine the impact of such a system on the driver and their driving performance. To this end road users' behavior from naturalistic driving data is analyzed focusing on awareness and diagnosis of the road situation. Results showed that the road features determined the level of visual attention and trust in the automation. They also showed that the activities performed during the automation affected the reaction time to take over the control of the vehicle.
Zeitraum22 Sep. 2020
EreignistitelIEEE International Conference on Intelligent Transportation Systems (ITSC) 2020
VeranstaltungstypKonferenz
OrtÖsterreichAuf Karte anzeigen

Wissenschaftszweige

  • 202003 Automatisierungstechnik
  • 303 Gesundheitswissenschaften
  • 501 Psychologie
  • 102029 Praktische Informatik
  • 203 Maschinenbau
  • 202 Elektrotechnik, Elektronik, Informationstechnik
  • 102 Informatik
  • 202041 Technische Informatik
  • 202040 Übertragungstechnik
  • 501030 Kognitionswissenschaft
  • 211911 Nachhaltige Technologien
  • 203004 Fahrzeugtechnik
  • 201306 Verkehrstelematik
  • 211917 Technikfolgenabschätzung
  • 102013 Human-Computer Interaction
  • 102034 Cyber-Physical Systems
  • 201305 Verkehrstechnik
  • 102015 Informationssysteme
  • 501026 Wahrnehmungspsychologie
  • 501025 Verkehrspsychologie
  • 202038 Telekommunikation
  • 102019 Machine Learning
  • 303008 Ergonomie
  • 202037 Signalverarbeitung
  • 202036 Sensorik
  • 202035 Robotik
  • 202034 Regelungstechnik
  • 202031 Netzwerktechnik
  • 202030 Nachrichtentechnik
  • 211902 Assistierende Technologien
  • 102021 Pervasive Computing
  • 102002 Augmented Reality
  • 102024 Usability Research
  • 102001 Artificial Intelligence
  • 211908 Energieforschung
  • 102026 Virtual Reality
  • 211909 Energietechnik
  • 102003 Bildverarbeitung

JKU-Schwerpunkte

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management