Hilly terrain presents unique challenges to cyclists, influencing their tactical (e.g., route and speed choice strategies) and operational (e.g., gear shifting, cadence and power output choice) behavior. Understanding how different types of cyclists, distinguished by physical, psychological, and experience characteristics, adapt to hills can provide valuable insights for infrastructure planning, traffic simulation, and sustainable mobility strategies.

This thesis focuses on analyzing the data collected during the cycling experiment. The student will contribute to the data processing and analysis to study different cycling behaviors in a systematic and replicable manner. The work will include exploring tactical and operational behaviors in relation to cyclists' physical parameters (e.g., height, weight, and power output) and personal characteristics (e.g., fitness level, experience). The student will evaluate experimental data to uncover patterns in cyclists' adaptations to hilly terrain and propose interpretations of their tactical decisions.

This thesis provides valuable experience with real-world cycling data and offers both practical and analytical challenges. Expected outcomes include a detailed analysis of tactical and operational cycling behavior and recommendations for applying the findings to transportation systems and infrastructure development.

• How can experimental data (speed, cadence, power output), including physical and personal characteristics, be analyzed to identify patterns in tactical decision-making?

• What key factors influence cyclists' speed and power output choice strategies and other operational behaviors of cyclists on hills?

• How do different types of cyclists adapt their tactical and operational behaviors on hilly terrain?

• Fundamental research