论文标题
分析卡车驾驶员行为以设计自动驾驶中的不同车道变更风格
Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving
论文作者
论文摘要
车道变更是一项非常苛刻的驾驶任务，交通事故的数量是由错误的操作引起的。自动化车道变更系统有可能减少驾驶员工作量并提高驾驶安全性。一个挑战是如何改善对自动化系统的驾驶员接受。从人为因素的角度来看，具有不同样式的自动化系统将改善用户接受，因为驾驶员可以使样式适应不同的驾驶情况。本文提出了一种通过卡车驾驶员行为的分析和建模来设计自动驾驶中不同车道变更样式的方法。进行了12名参与者的卡车驾驶模拟器实验，以识别驾驶员模型参数，并将3种车道更换样式归类为侵略性，中等和保守的驱动器。拟议的自动化车道变更系统是通过与同一12名参与者进行的另一个卡车驾驶模拟器实验评估的。此外，评估了不同驾驶方式对驾驶员体验和接受的影响。评估结果表明，不同的车道变更风格可以由驾驶员区分。同时，总体评估了这三种样式在安全问题上可接受，并由人类驾驶员可靠。这项研究为设计具有不同驾驶风格的自动驾驶系统设计提供了见解，并且发现可以应用于商用自动化卡车。
Lane change is a very demanding driving task and number of traffic accidents are induced by mistaken maneuvers. An automated lane change system has the potential to reduce driver workload and to improve driving safety. One challenge is how to improve driver acceptance on the automated system. From the viewpoint of human factors, an automated system with different styles would improve user acceptance as the drivers can adapt the style to different driving situations. This paper proposes a method to design different lane change styles in automated driving by analysis and modeling of truck driver behavior. A truck driving simulator experiment with 12 participants was conducted to identify the driver model parameters and three lane change styles were classified as the aggressive, medium, and conservative ones. The proposed automated lane change system was evaluated by another truck driving simulator experiment with the same 12 participants. Moreover, the effect of different driving styles on driver experience and acceptance was evaluated. The evaluation results demonstrate that the different lane change styles could be distinguished by the drivers; meanwhile, the three styles were overall evaluated as acceptable on safety issues and reliable by the human drivers. This study provides insight into designing the automated driving system with different driving styles and the findings can be applied to commercial automated trucks.
