Institut für Physik, Technische Universität Chemnitz, D-09107, Germany.
Institut für Psychologie, Technische Universität Chemnitz, D-09107, Germany.
J Safety Res. 2014 Jun;49:85-90. doi: 10.1016/j.jsr.2014.02.014. Epub 2014 Apr 24.
Positive safety effects of advanced driver assistance systems can only become effective if drivers accept and use these systems. Early detection of driver's intention would allow for selective system activation and therefore reduce false alarms.
This driving simulator study aims at exploring early predictors of lane changes. In total, 3111 lane changes of 51 participants on a simulated highway track were analyzed.
Results show that drivers stopped their engagement in a secondary task about 7s before crossing the lane, which indicates a first planning phase of the maneuver. Subsequently, drivers start moving toward the lane, marking a mean steering wheel angle of 2.5°. Steering wheel angle as a directly measurable vehicle parameter appears as a promising early predictor of a lane change. A mathematical model of the steering wheel angle is presented, which is supposed to contribute for predicting lane change maneuvers.
The mathematical model will be part of a further predictor of lane changes. This predictor can be a new advanced driver assistance system able to recognize a driver's intention. With this knowledge, other systems can be activated or deactivated so drivers get no annoying and exhausting alarm signals. This is one way how we can increase the acceptance of assistance systems.
只有当驾驶员接受并使用先进的驾驶员辅助系统时，这些系统的积极安全效果才能发挥作用。早期检测驾驶员的意图可以实现选择性的系统激活，从而减少误报。
本驾驶模拟器研究旨在探索变道的早期预测指标。总共分析了 51 名参与者在模拟高速公路上的 3111 次变道。
结果表明，驾驶员在越过车道之前约 7 秒停止参与次要任务，这表明了该机动的第一个规划阶段。随后，驾驶员开始向车道移动，方向盘角度平均为 2.5°。方向盘角度作为一个可直接测量的车辆参数，似乎是变道的一个很有前途的早期预测指标。提出了一个方向盘角度的数学模型，该模型应该有助于预测变道操作。
该数学模型将成为变道预测器的一部分。该预测器可以是一个新的先进的驾驶员辅助系统，能够识别驾驶员的意图。有了这些知识，其他系统可以被激活或停用，这样驾驶员就不会收到烦人和令人疲惫的报警信号。这是提高辅助系统接受度的一种方式。
