Modelling cyclists' comfort zones from obstacle avoidance manoeuvres.

Area of Science:

• Human-Computer Interaction
• Cognitive Science
• Transportation Engineering

Background:

• The cyclist's comfort zone is less understood than the driver's.
• Cognitive science literature on driver behavior informs this study.
• Existing research lacks a comprehensive model for cyclist comfort zones.

Purpose of the Study:

• To introduce a novel framework for modeling the cyclist's comfort zone.
• To analyze cyclist obstacle avoidance maneuvers (braking and steering).
• To compare cyclist behavior with established driver behavior models.

Main Methods:

• Utilized field trial data from cyclists performing obstacle avoidance.
• Modeled braking and steering maneuvers within the cyclist's comfort zone.
• Applied principles from cognitive science and driver behavior research.

Main Results:

• Cyclists maintained constant deceleration when braking, adjusting timing with speed.
• Cyclists maintained constant distance from obstacles when steering, independent of speed.
• Higher speeds resulted in temporally delayed steering maneuvers compared to braking.

Conclusions:

• The study provides a framework for understanding cyclist comfort zones.
• Findings reveal distinct yet comparable obstacle avoidance strategies between cyclists and drivers.
• Results offer implications for active safety systems and infrastructure design for cyclists.