Research on application scenarios of vehicles safety warning based on connected technology
Chun Li, Xiaodi Tian, Feiyan Wu · 2023
The safety warning function of intelligent and connected vehicles is of great significance to improve driving safety. Firstly, based on the coverage of application scenarios, this paper builds an application scenario database which based on different sources, with multi-dimensional scene distribution characteristics and a uniform format. Secondly, the application scenario screening model is constructed to determine the application scenario of the safety warning based on connected technology. Then, the application scenarios are classified from different dimensions. Based on the classification method proposed in this paper, considering extensibility and backward compatibility, an safety warning application scenario database is constructed that conforms to China's traffic patterns and reality.