| Paper FR-EA-T44.3
Liu, Yuchen (Technical University of Munich), Munir, Farzeen (Aalto University,Finnish Center for Artificial Intelligence), Kucner, Tomasz (Aalto University), Bengler, Klaus (Technische Universität München)
Designing Rolling Stop Feature for Fully Automated Vehicles: A Human-Centered Approach on F1Tenth
Scheduled for presentation during the Regular Session " S 4 4 b - H u m a n F a c t o r s a n d H u m a n M a c h i n e I n t e r a c t i o n i n A u t o m a t e d D r i v i n g" (FR-EA-T44), Friday, November 21, 2025,
14:10−14:30, Currumbin
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 April 1, 2026
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| Keywords Protection Strategies for Vulnerable Road Users (Pedestrians, Cyclists, etc.), Trust, Acceptance, and Public Perception of Autonomous Transportation Technologies, User-Centric HMI Design for Autonomous Vehicle Control Systems
Abstract
Although automated vehicles (AVs) are increasingly capable of handling well-structured traffic scenarios, navigating complex urban environments with large numbers of unpredictable human road users, particularly pedestrians, remains a major challenge. Human drivers often rely on subtle social cues and responsive behaviors, such as the rolling stop, to navigate such settings. Traditionally, a rolling stop refers to decelerating without fully stopping at stop-sign-controlled intersections, also known as the “California Roll”. This work builds on that concept and applies a human-centered design (HCD) process, involving exploration, conceptualization, prototyping, and evaluation, to expand the rolling stop as an implicit communication strategy for AVs to navigate multi-pedestrian urban environments. In this context, a rolling stop is defined as a scenario-dependent, low-speed motion pattern in which the vehicle avoids a full stop while continuously adapting to dynamic elements such as pedestrians and road infrastructure. The feature was prototyped and evaluated using the F1Tenth autonomous racing car, demonstrating the feasibility of rolling stop for AV-pedestrian interactions and the effectiveness of F1Tenth for early-stage AV development. Future research should generalize the rolling stop application to diverse and dynamic urban environments while considering varying pedestrian characteristics and interaction contexts.
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