Verification of Structure on Model's Eyes-Hands during Signal Tracking

M. Alexík
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Abstract

Future construction of cars requires knowledge about dynamics of driver's, because vitally affecting his responses to unexpected situations in traffic. Unpredictable situations in the driving of the car are real, because the traffic is crowded on the road. After detecting the models in the brain driver's, we could understand how models influencing his reaction on the traffic situations. Research results, supported by new advances in automation and information technology, can be used in the areas of so-called "intelligent systems to support decision of driver's" and "intelligent transport systems". This article explains a new conceptual model of driver behaviour, which is able to characterize the response of the driver in the car, from the "intelligent control system driver/car/traffic situation" point of view. In the paper the hypothesis is formulated, that immediate dynamics of driver's (delay, time constant and also controller structure), is create as sum of constant neuro physiological characteristics (muscles and nerves) and variable characteristics created in the brain. Variable characteristics are generating from "models of the traffic situations", which are continually adapted intra brain of driver's. The article outlined the verification of this model using description of measured reactions in real time.
信号跟踪中模型眼手结构的验证
未来的汽车制造需要掌握驾驶员的动力学知识,因为这对驾驶员对交通意外情况的反应有着至关重要的影响。由于道路上的交通拥挤,汽车行驶中不可预测的情况是真实存在的。通过检测驾驶员大脑中的模型,我们可以了解模型是如何影响驾驶员对交通状况的反应的。在自动化和信息技术新进展的支持下,研究成果可用于所谓的“支持驾驶员决策的智能系统”和“智能交通系统”领域。本文从“智能控制系统驾驶员/汽车/交通状况”的角度解释了一种新的驾驶员行为概念模型,该模型能够表征驾驶员在车内的反应。本文提出了一个假设,即驾驶员的即时动态(延迟、时间常数和控制器结构)是由恒定的神经生理特征(肌肉和神经)和大脑中产生的可变特征共同产生的。“交通状况模型”产生了各种各样的特征,这些特征在驾驶员的大脑中不断被调整。文章概述了利用实时测量反应的描述对该模型的验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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