Cheng Marvin H, Guan Jinhua, Dave Hemal K, White Robert S, Whisler Richard L, Zwiener Joyce V, Camargo Hugo E, Current Richard S
National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA.
Machines (Basel). 2024;12(8):502. doi: 10.3390/machines12080502.
Mission-based routes for various occupations play a crucial role in occupational driver safety, with accident causes varying according to specific mission requirements. This study focuses on the development of a system to address driver distraction among law enforcement officers by optimizing the Driver-Vehicle Interface (DVI). Poorly designed DVIs in law enforcement vehicles, often fitted with aftermarket police equipment, can lead to perceptual-motor problems such as obstructed vision, difficulty reaching controls, and operational errors, resulting in driver distraction. To mitigate these issues, we developed a driving simulation platform specifically for law enforcement vehicles. The development process involved the selection and placement of sensors to monitor driver behavior and interaction with equipment. Key criteria for sensor selection included accuracy, reliability, and the ability to integrate seamlessly with existing vehicle systems. Sensor positions were strategically located based on previous ergonomic studies and digital human modeling to ensure comprehensive monitoring without obstructing the driver's field of view or access to controls. Our system incorporates sensors positioned on the dashboard, steering wheel, and critical control interfaces, providing real-time data on driver interactions with the vehicle equipment. A supervised machine learning-based prediction model was devised to evaluate the driver's level of distraction. The configured placement and integration of sensors should be further studied to ensure the updated DVI reduces driver distraction and supports safer mission-based driving operations.
不同职业基于任务的路线在职业驾驶员安全中起着至关重要的作用，事故原因会根据特定任务要求而有所不同。本研究的重点是开发一种系统，通过优化驾驶员-车辆界面（DVI）来解决执法人员的驾驶员分心问题。执法车辆中的DVI设计不佳，通常配备了售后警用设备，可能会导致感知运动问题，如视线受阻、操作控制困难和操作失误，从而导致驾驶员分心。为了缓解这些问题，我们专门为执法车辆开发了一个驾驶模拟平台。开发过程包括选择和放置传感器，以监测驾驶员行为以及与设备的交互。传感器选择的关键标准包括准确性、可靠性以及与现有车辆系统无缝集成的能力。根据以往的人体工程学研究和数字人体建模，传感器位置经过精心布局，以确保全面监测，同时不妨碍驾驶员的视野或操作控制。我们的系统在仪表盘、方向盘和关键控制界面上都安装了传感器，可提供驾驶员与车辆设备交互的实时数据。我们设计了一个基于监督机器学习的预测模型来评估驾驶员的分心程度。应进一步研究传感器的配置布局和集成，以确保更新后的DVI减少驾驶员分心，并支持更安全的基于任务的驾驶操作。
