Mutual Assistance System for Automobile Safety
Abstract Advanced driver assistance systems (ADAS) are effective measures for reducing the risk of traffic accidents. This paper provides evaluation results for ADAS using the mutual assistance paradigm, in which drivers mutually assist each other for automobile safety. The goal of the mutual assistance system is not only to reduce the risk of traffic accidents but also to improve the driver's attitude. In this research, evaluation of an assistance system was performed with a driving simulator. The experimental results revealed that the automation level of the mutual assistance system heavily changed the driver's attitude. The semi automatic system was more effective than the fully automatic system for making positive attitude changes. In addition, the semi automatic system was the most effective for decreasing the driver collision rate. Therefore, the semi automatic system with some voluntary actions was most suitable for the mutual assistance system and can possibly restrain risk compensation behavior.