Abstract
Vehicle platooning enables close-gap driving and offers potential benefits for traffic efficiency and safety. In conditionally automated platooning, drivers remain responsible for supervising the system and intervening when necessary, making effective Human–Machine Interfaces (HMIs) critical for maintaining situational awareness and stable driver–automation coordination. This paper investigates whether an in-vehicle HMI providing continuous system-state and inter-vehicle distance information improves supervisory behavior, safety, and platoon stability. We conducted a simulation-based experiment integrated with a 6-degree-of-freedom motion system to enhance scenario realism. Dependent variables included collision occurrence, response latency following platoon disconnection, and the number of manual interventions during intact platooning.
Results showed significantly fewer manual interventions when the HMI was active, with intervention rates about 80\% higher without it. No significant effects were found for collision occurrence or response latency, indicating that additional information improves supervisory stability during platooning but does not substantially affect emergency reactions or collision rates.
Results showed significantly fewer manual interventions when the HMI was active, with intervention rates about 80\% higher without it. No significant effects were found for collision occurrence or response latency, indicating that additional information improves supervisory stability during platooning but does not substantially affect emergency reactions or collision rates.
| Originalsprache | Englisch |
|---|---|
| Titel | IEEE International Conference on Intelligent Transportation Systems (ITSC) 2026 |
| Publikationsstatus | Angenommen/Im Druck - 01 Mai 2026 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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Wissenschaftszweige
- 102013 Human-Computer Interaction
- 102029 Praktische Informatik
- 102003 Bildverarbeitung
- 102002 Augmented Reality
- 102001 Artificial Intelligence
- 211911 Nachhaltige Technologien
- 102021 Pervasive Computing
- 303 Gesundheitswissenschaften
- 303008 Ergonomie
- 211917 Technikfolgenabschätzung
- 102026 Virtual Reality
- 501026 Wahrnehmungspsychologie
- 501025 Verkehrspsychologie
- 102024 Usability Research
- 202034 Regelungstechnik
- 202003 Automatisierungstechnik
- 211902 Assistierende Technologien
- 201306 Verkehrstelematik
- 201305 Verkehrstechnik
- 202031 Netzwerktechnik
- 202030 Nachrichtentechnik
- 102 Informatik
- 102034 Cyber-Physical Systems
- 203 Maschinenbau
- 202040 Übertragungstechnik
- 102019 Machine Learning
- 211909 Energietechnik
- 202 Elektrotechnik, Elektronik, Informationstechnik
- 202038 Telekommunikation
- 211908 Energieforschung
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- 501 Psychologie
- 202037 Signalverarbeitung
- 102015 Informationssysteme
- 202036 Sensorik
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- 203004 Fahrzeugtechnik
JKU-Schwerpunkte
- Sustainable Development: Responsible Technologies and Management
- Digital Transformation
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