Event-Triggered Personalized Driving Based on Passenger's Subjective Risk Evaluation

In this paper, a safety-oriented hierarchical personalized driving system is proposed, which aims to mitigate the preference conflict between the passengers and the intelligent vehicle control system. Firstly, experiments on driving simulator are designed to analyze both the general and individual c...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2024-11, p.1-17
Main Authors: Yan, Yongjun, Han, Dongming, Zhang, Qixiang, Wang, Jinxiang, Pi, Dawei, Chu, Duanfeng, Yin, Guodong
Format: Article
Language:English
Subjects:
Decision making
individual driving risk fields
Personalized driving
Real-time systems
Roads
Safety
Target tracking
Trajectory
Trajectory planning
Vehicle dynamics
Vehicles
visual-preview trajectory planning
Visualization
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Summary:In this paper, a safety-oriented hierarchical personalized driving system is proposed, which aims to mitigate the preference conflict between the passengers and the intelligent vehicle control system. Firstly, experiments on driving simulator are designed to analyze both the general and individual characteristics of different drivers, and a driving risk field (DRF) model for various driving events, such as free-driving, car-following, and lane-changing, is constructed. Secondly, the HighD natural dataset is clustered to explore the real preferences of different driving styles, and the DRF is calibrated to describe the driver's subjective risk feeling more realistically. Thirdly, a driving decision-making mechanism with consideration of safety, efficiency, and personalized tolerance on the current lane is designed to select optimal driving events. Then, multi-point visual preview longitudinal speed adjustment and lateral lane-changing trajectory planning methods based on the spatial-temporal DRF under different driving events are proposed. Finally, human-in-the-loop experiments show that the proposed real-time system can generate personalized trajectories for different passengers in changing environments.
ISSN:1524-9050
DOI:10.1109/TITS.2024.3496500