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A New Microscopic Traffic Model and Simulation based on CA Conceptions

机译:基于CA概念的新微观交通模型与仿真

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A new microscopic traffic model for one-lane traffic flow, based on some Cellular Automation (CA) conceptions such as acceleration, deceleration, randomization deceleration, and movement, is presented in this paper. Though NaSch Model and other improvement models, as KKW model, VDR model, had described traffic flow trajectory, more real impacts should be mentioned to depict the trajectory more precisely. Without accurate information about vehicles location and velocity, the parameters as volume, density cannot be obtained. Thus, traditional CA models can analyze some macroscopic traffic phenomena, as synchronized flow for example, but it results in the lack of microscopic traffic flow analysis since some traffic flow characteristic are not included in models. Some real conditions of vehicles and drivers, such as vehicle acceleration and drivers reflection to prior vehicles, are considered in this model which does not exist in CA models. The spatial-time trajectory is used to analyze traffic flow characteristic and traffic situations in numeral experiments. The results show that the new model can depict traffic moving more precisely and can be used to analyze traffic flow quantitatively.
机译:本文提出了一种基于一些蜂窝自动化(CA)概念的一线交通流量的新微观流量模型,例如加速,减速,随机减速减速和移动等。虽然NASCH模型和其他改进模型作为KKW模型,VDR模型描述了交通流轨迹,但应该提到更真实的影响来更准确地描绘轨迹。如果没有关于车辆的位置和速度的准确信息,则不能获得参数的参数,不能获得密度。因此,传统的CA模型可以分析一些宏观流量现象,例如同步流动,但它导致缺乏显微流量流量分析,因为某些业务流特性不包括在模型中。在该模型中考虑在CA型号中不存在于此模型中的车辆和驱动器的一些实际条件,例如车辆加速和驱动器对现有车辆的反射。空间轨迹用于分析数字实验中的交通流特征和交通情况。结果表明,新模型可以更精确地描绘流量,可用于定量分析流量。

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