Srivastava, Prerak (International Institute of Information Technology, Hyderabad), Vemuri, Kavita (International Institute of Information Technology, Hyderabad), Kumar, Bhaiya Vaibhaw (International Institute of Information Technology, Hyderabad)

Eyes on the Road: A Naturalistic Comparison of MTW Rider Gaze in Urban Indian Traffic

Scheduled for presentation during the Regular Session "S36b-Behavior Modeling and Decision-Making in Traffic Systems" (FR-EA-T36), Friday, November 21, 2025, 13:30−13:50, Surfers Paradise 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Abstract

Motorized two-wheelers (MTW) dominate Indian roads but remain underrepresented in driver behavior research. This study presents the first large-scale analysis of MTW driver gaze behavior in naturalistic, heterogeneous urban traffic, using the myEye2Wheeler dataset. A semantic segmentation pipeline (YOLOv11 + SAM2) was used to extract object-level gaze metrics under two attention modes: direct gaze (foveal overlap) and central vision (parafoveal monitoring). Results reveal a functional division: central vision supports broad monitoring, while direct gaze enables brief, selective sampling. Novice riders exhibit road-anchored scanning, returning to the road between object fixations, while experienced riders form longer chains of attention across multiple objects. The findings suggest that experience primarily refines temporal rhythm rather than altering allocation strategy and reduces object-class effects in gaze patterns. These findings offer new insight into MTW attention structures and inform future work on behavior modeling and safety systems.