Estimation of Driver Reaction Time from Car-Following Data
Estimation of Driver Reaction Time from Car-Following Data
复制标题
根据跟车数据估计驾驶员反应时间
DOI：
10.1177/0361198106196500114
复制
发表时间：
2006
影响因子：
1.7
通讯作者：
I. Andreasson
中科院分区：
文献类型：
--
作者：
Xiaoliang Ma;I. Andreasson
驾驶员行为在交通仿真环境中的车辆动力学建模中起着重要作用。为了研究一般驾驶员行为的一个要素，即跟车行为，一种先进的仪表化车辆被应用于瑞典道路上真实交通流的动态数据采集。本文简要介绍了车辆跟驰数据的采集和平滑方法。此外，还引入了基于跟车数据傅里叶分析的谱分析方法来估计驾驶员的反应时间，这是驾驶员行为的一个重要参数。在基于驾驶员反应时间的稳定跟随状态下，对广义通用电机模型进行了标定，该模型是经典的非线性通用电机模型的扩展。然后，通过闭环仿真对校准后的模型进行了评估。
Driver behavior plays an important role in modeling vehicle dynamics in a traffic simulation environment. To study one element of general driver behavior, that of car following, an advanced-instrumented vehicle has been applied in dynamic data collection in real-traffic flow on Swedish roads. This paper briefly introduces the car-following data collection and smoothing methods. Moreover, spectrum analysis methods based on Fourier analysis of car-following data are introduced to estimate driver reaction times, a crucial parameter of driver behavior. A generalized general motor–type model was calibrated, an extension of the classic nonlinear general motor model, in a stable following regime based on estimated driver reaction times. The calibrated model was then evaluated by closed-loop simulations.