Computational models for safe interactions between automated vehicles and cyclists
Doktorsavhandling, 2025
The studies included in this thesis revealed that kinematic factors, such as time to arrival (DTA), along with cyclists' non-verbal cues, like head movements and pedaling, significantly affect yielding behavior at intersections. Both simulator data and naturalistic data confirmed that visibility conditions and DTA played a critical role in cyclists' decision-making while subjective data from questionnaires highlighted the importance of communication and eye contact between cyclists and drivers in reducing the severity of interactions.
Additionally, an analysis of naturalistic data uncovered differences in yielding behavior between professional and non-professional drivers, with professional drivers being less likely to yield to cyclists. Different models, leveraging machine learning and game theory, were developed to predict yielding decisions during these interactions. Lastly, simulator data was used to model drivers’ behavior, incorporating kinematics, demographics, and gaze metrics to predict drivers’ responses to crossing cyclists.
The predictive models developed through this research provide novel insights for the design of threat assessment algorithms for active safety and automated driving, enhancing the machine ability to anticipate cyclist behavior and improve safety.
advanced driving assistance systems
cyclist behavior
automated vehicles safety
active safety systems
automated driving
computational behavioral models
Författare
Ali Mohammadi
Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet
Understanding the interaction between cyclists and motorized vehicles at unsignalized intersections: Results from a cycling simulator study
Journal of Safety Research,;Vol. 90(2024)
Artikel i vetenskaplig tidskrift
How do cyclists interact with motorized vehicles at unsignalized intersections? Modeling cyclists’ yielding behavior using naturalistic data
Accident Analysis and Prevention,;Vol. 190(2023)
Artikel i vetenskaplig tidskrift
Mohammadi, A., Bruneau, A., & Dozza, M. Modelling vehicle-cyclists’ interactions to support automated driving and advanced driving assistance systems. Journal of the International Association of Traffic and Safety Sciences (IATSS). (Submitted)
Mohammadi, A., Kalantari, A., Markkula, G., & Dozza, M. (2024). Cyclists’ interactions with professional and non-professional drivers: Observations and game theoretic models. Journal of Transportation Research Part F: Traffic Psychology and Behavior. (Under review)
Ämneskategorier (SSIF 2025)
Transportteknik och logistik
Farkost och rymdteknik
ISBN
978-91-8103-198-0
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5656
Utgivare
Chalmers