We invite contributions of presentations related to Automated Mobility and Mixed Traffic.
Topics of Interest:
Interested researchers are invited to present their works on the following relevant topics, including but not limited to:
1) Data & Simulation:
· Mixed traffic datasets, open data practices and open-source platforms.
· Empirical studies, field tests, and simulation models.
· Mixed traffic state prediction and system modeling (long/medium/short term).
· Behavioral and interaction modeling in mixed traffic.
2) Human Interaction:
· Human factors, trust and user perception of automated systems.
· Human-AI co-adaptation and meaningful human involvement in mixed traffic.
· Ethical considerations in mixed autonomy systems
3) Advanced AI in Automated Driving:
· AI methods in mixed traffic research.
· LLMs and VLMs applied to automated driving.
· Sensing, perception, planning and control in automated driving.
4) Safety & Robustness:
· Model robustness and generalization.
· Safety assurance and uncertainty quantification.
· Explainable and trustworthy AI in safety-critical environments.
5) System Impacts:
· Impact evaluation methods of mixed traffic.
· Empirical evaluation across automation levels.
· Traffic flow safety, efficiency, and energy performance in mixed traffic.
· Societal and policy implications of mixed autonomy.
If you want to share relevant resources (e.g., datasets, simulation, and data analysis tools) or give a technical tutorial within the research community, please contact the workshop organizers.
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