A car-following model applied reaction times distribution and perceptual threshold
A car-following model applied reaction times distribution and perceptual threshold
复制标题
应用反应时间分布和感知阈值的跟车模型
DOI：
10.11175/easts.6.1888
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
K. Chon
中科院分区：
文献类型：
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作者：
Kyunguk Chang;K. Chon
近年来，尽管对跟车行为的研究已经有半个世纪之久，但跟车模型的重要性却显著增加。在大多数情况下，仿真模型的结果都是实际使用的。然而，对他们的结果并没有得到正确的验证。大多数模型没有考虑反应时间的多变性，现实中一般采用固定值或随机变量来描述反应时间。结果导致模型的刚性，以及实际行为与模型的“时间差”，因此，时间(T)的加速和减速是同时存在的。因此，将反应时间作为对数正态分布，并根据加速率与相对速度的关系来估计“感知阈值”，以提高加减速率。用均方根误差(RMSE)检验了该模型与其他模型的拟合优度。因此，新模型更好地描述了实际驾驶员的行为。
In recent years, the importance of Car-following models has increased significantly, although car-following behavior has been studied for an half of a century. In most cases, the simulation model results are used in actual field. However, correct verification about their result is not attained. Most models do not consider about reaction time as various and in reality, it is general to use fixed value or random variable for the reaction time. As a result, it causes the rigidity of models, and the "time difference" between the actual behavior and models so, acceleration and deceleration at time (t) are simultaneously. Therefore, reaction time is used as lognormal distribution, and "perceptual threshold" was estimated from the acceleration rate versus relative speed to improve acceleration and deceleration rate. Goodness of fit of the model is examined by Root Mean Squared error (RMSE) comparing to other models. Consequently, the new model performed better description of actual driver's behavior.