School of Engineering and Sciences, Tecnologico de Monterrey National Department of Research, Mexico City 14380, Mexico.
Civil, Architectural and Environmental Engineering, Cockrell School of Engineering, University of Texas at Austin, Austin, TX 78712, USA.
Sensors (Basel). 2021 Nov 5;21(21):7350. doi: 10.3390/s21217350.
Automobile security became an essential theme over the last years, and some automakers invested much money for collision avoidance systems, but personalization of their driving systems based on the user's behavior was not explored in detail. Furthermore, efficiency gains could be had with tailored systems. In Mexico, 80% of automobile accidents are caused by human beings; the remaining 20% are related to other issues such as mechanical problems. Thus, 80% represents a significant opportunity to improve safety and explore driving efficiency gains. Moreover, when driving aggressively, it could be connected with mental health as a post-traumatic stress disorder. This paper proposes a Tailored Collision Mitigation Braking System, which evaluates the driver's personality driving treats through signal detection theory to create a cognitive map that understands the driving personality of the driver. In this way, aggressive driving can be detected; the system is then trained to recognize the personality trait of the driver and select the appropriate stimuli to achieve the optimal driving output. As a result, when aggressive driving is detected continuously, an automatic alert could be sent to the health specialists regarding particular risky behavior linked with mental problems or drug consumption. Thus, the driving profile test could also be used as a detector for health problems.
汽车安全已成为近年来的一个重要主题，一些汽车制造商投入了大量资金用于开发防撞系统，但他们的驾驶系统并未根据用户行为进行个性化定制，也没有对此进行详细探讨。此外，定制系统可以提高效率。在墨西哥，80%的汽车事故是由人为因素造成的；其余 20%与其他问题有关，如机械问题。因此，80%的汽车事故代表着提高安全性和探索驾驶效率的巨大机会。此外，当驾驶行为具有攻击性时，可能会与心理健康有关，例如创伤后应激障碍。本文提出了一种定制的碰撞缓解制动系统，该系统通过信号检测理论评估驾驶员的个性驾驶行为，以创建一个认知图，从而了解驾驶员的驾驶个性。这样，就可以检测到攻击性驾驶行为；然后对系统进行训练，以识别驾驶员的个性特征，并选择适当的刺激来达到最佳的驾驶输出。因此，当连续检测到攻击性驾驶行为时，系统可以自动向健康专家发送关于与心理健康问题或药物使用有关的特定危险行为的警报。因此，驾驶档案测试也可以用作健康问题的探测器。
