非静止车辆跟随动力学:驾驶模拟器实验

I. Lubashevsky, Akihito Usui, Kaito Morimura
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引用次数: 0

摘要

使用基于开源引擎TORCS创建的汽车驾驶模拟器,我们在汽车跟随设置中研究汽车驾驶中的人类行为。实验共设5名不同驾驶技能的被试。在这里,我们给出了比较两种特定版本的汽车跟随设置的实验结果;在一辆车里,领头车的速度是固定的,在另一辆车里,它以某种不规则的方式变化着。后一种设置适用于三种不同的速度变化时间尺度,分别代表“快”、“中”和“慢”速度变化。在“快速”速度变化的情况下,受试者不能驾驶汽车,使其速度和领先的汽车速度在时间上同步变化。在“慢”速度变化的情况下,这是一个容易的任务。对比了基于采集数据构建的车头时距、速度、加速度、加速度直方图和踏板位置(主要控制参数)的时间导数直方图。之前我们已经证明驾驶员的行为应该被归类为人为间歇控制。基于上述结果,我们得出结论,这种类型的驾驶员行为对前车运动的不确定性不敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Stationary Car-Following Dynamics: Driving Simulator Experiments
Using a car-driving simulator created based on the open source engine---TORCS---we investigate human behavior in car-driving within the car-following setup. Five subjects with different skill of driving were involved in these experiments. Here we present the results of experiments comparing two particular versions of car-following setup; within one the lead car speed was fixed, within the other it changed in a certain irregular way. The latter setup was implemented for three different time scales of speed change representing "fast," "intermediate," and "slow" speed variations. In the case of "fast" speed variations a subject just cannot drive the car such that its speed and the lead car speed vary in time synchronically. In the case of "slow" speed variations it is an easy task. The histograms of the headway, velocity, acceleration, jerk, and the time derivative of pedal position (the main control parameter) constructed based on the collected data are compared. Previously we have demonstrated that driver actions should be categorized as human intermittent control. Based on the presented results we draw the conclusion that this type of driver actions is not sensitive to the uncertainty in the lead car motion.
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