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A model based on TTC to describe how drivers controltheir vehicles

机译:基于TTC的模型,用于描述驾驶员如何控制自己的车辆

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摘要

In this paper, a car following model is built on observations and analysis of human driver behaviour. This model considers both the gap distance and the speed difference between two vehicles, and determines when and how a driver accelerates (decelerates). The simulation result shows that the probability distributions for both speed differences and time headways match the data from observation. In addition, some theoretical analysis are given to verify this model. The distribution of time headways is consistent with the empirical conclusion; and a stochastic differential equation summarized from the model represents the interdependence of gap distance and speed difference. The model is simple to understand and is an improvement on former work.
机译:在本文中,汽车追踪模型是建立在对人类驾驶员行为的观察和分析之上的。该模型同时考虑了两个车辆之间的间隙距离和速度差,并确定了驾驶员何时以及如何加速(减速)。仿真结果表明,速度差和时间间隔的概率分布与观测数据相匹配。另外,给出了一些理论分析来验证该模型。时间间隔的分布与经验结论相符。该模型总结的随机微分方程表示间隙距离和速度差之间的相互关系。该模型易于理解,是对以前工作的改进。

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