Motorized Two-wheeler Rider Behavior Analysis through Experimental and Naturalistic Riding Studies

This research investigated motorised two-wheeler riders' behaviour in expected and unexpected pedestrian crossings. Riders' kinematic data was analysed and modelled using analysis of variance and mixed effects modelling techniques. Results showed significantly aggressive braking with loss of control in unexpected pedestrian crossings, indicating the need for hazard perception training and advanced rider assistance systems. Riders' behaviour in normal day-to-day driving conditions was also studied in a city in India. K-means clustering technique was used and results indicated three driving behaviours with varying aggressiveness levels. The developed methodology helps in identifying risky driving and framing regulations to discourage such behaviour.