• Pattern recognition.
• Artificial intelligence framework.
• Dynamic demand and supply in an autonomous framework.
• Artificial intelligence models for incident management in real time.
• Autonomous Transport Systems algorithms.
• Self-organizing transport and infrastructure systems algorithms.
• Modeling of autonomous intermodal, multimodal and transshipment hubs.
• Autonomous micro-vehicles.
• Intelligent and autonomous load.
• Real-time location detection.
Autonomy and Artificial Intelligence in Transportation
Code | GPOL_C_16012 |
---|---|
Instructor | STEPHANIDIS GEORGE |
Mandatory/Optional | Elective |
Credits ECTS | 7,5 |
COURCE OUTLINE | https://www.civil.upatras.gr/wp-content/uploads/2021/12/GPOL_C_16012_EN.docx |
- Knowledge in Artificial Intelligence in Transportation Systems (AIT)
- Knowledge in Autonomy in Intelligent Transportation Systems (ATS)
- Skills in analysis of AIT and ATS data and problems
- Competence in drawing conclusions from the analysis of AIT and ATS data/problems