1. Soft Control Transition Mechanism for Man-Machine Shared Driving
- Research Background
Human error is the main cause of traffic accidents. With the development of intelligent driving technology, the on-board driving system has become the second driving agent which can help human drivers in vehicle control, correctingoccasional misbehaviors of human drivers and thus improving driving safety. In the man-machine shared driving mode, the driving control transition mechanism plays a decisive role in coordinating the man-machine relationship. Hence, to fully utilize the current intelligent driving system for the improvement of driving safety, study on driving control transition could be an impetus at this stage.
- Research Achievements
The proper mode selection as well as the driving authority allocation in the man-machine shared driving highly depends on the reliable identification of the driver's state. To analyze the driver's state in man-machine shared driving, the driving risk field is used as the theoretical framework, and the model structure of the electrostatic field in physics is used to provide a scalable and transferable electric-like risk field model to measure driving risk. Through analyzing the way human drivers respond to the on-road risk, parameters of risk-response characteristics are extracted, allowing the construction of the personalized longitudinal driver model, namely the risk-response driver model (RRDM).
Leading Research Member: ZHAO Xiaocong
- He R, Zhao X, Wang J. Modeling of Driving Risk Response under Human-Vehicle-Road Interaction [J]. China Journal of Highway and Transport, 2020.