Abstract
The majority of research on safety in autonomous vehicles has been conducted in structured and controlled environments. However, there is a scarcity of research on safety in unregulated pedestrian areas, especially when interacting with public transport vehicles like trams. This study investigates pedestrian responses to an alert system in this context by replicating this real-world scenario in an environment using an autonomous vehicle. The results show that safety measures from other contexts can be adapted to shared spaces with trams, where fixed tracks heighten risks in unregulated crossings.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE Intelligent Vehicles Symposium (IV) |
| Publisher | IEEE |
| Publication status | Accepted/In press - 2025 |
Fields of science
- 102003 Image processing
- 102001 Artificial intelligence
- 102029 Practical computer science
- 211911 Sustainable technologies
- 102021 Pervasive computing
- 303 Health Sciences
- 303008 Ergonomics
- 211917 Technology assessment
- 102026 Virtual reality
- 501026 Psychology of perception
- 501025 Traffic psychology
- 102013 Human-computer interaction
- 102024 Usability research
- 202034 Control engineering
- 202003 Automation
- 211902 Assistive technologies
- 201306 Traffic telematics
- 201305 Traffic engineering
- 202031 Network engineering
- 202030 Communication engineering
- 102 Computer Sciences
- 102034 Cyber-physical systems
- 203 Mechanical Engineering
- 202040 Transmission technology
- 102019 Machine learning
- 211909 Energy technology
- 202 Electrical Engineering, Electronics, Information Engineering
- 202038 Telecommunications
- 211908 Energy research
- 202041 Computer engineering
- 501 Psychology
- 202037 Signal processing
- 102015 Information systems
- 202036 Sensor systems
- 501030 Cognitive science
- 202035 Robotics
- 203004 Automotive technology
JKU Focus areas
- Sustainable Development: Responsible Technologies and Management
- Digital Transformation
