COMPARISON OF DIFFERENT MODELLING APPROACHES FOR VEHICLEVELOCITY CONTROL ON AN UPCOMING BOTTLENECK SECTION

Stefani Josifovska, V. Jordanoska
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Abstract

A b s t r a c t: With the development of the Internet of Things and the Smart infrastructure, simulating the traffic is not purely a mathematical question anymore, but also entails the vehicle dynamics as an important factor, due to the constant data sharing between the vehicles and the highly automated systems which control the behaviour of the vehicles. This paper aims to upgrade the traditional traffic flow model based on the Cellular Automata theory, by incorporating the positions and velocities of the vehicles, as well as introduce a longitudinal vehicle dynamics model, in order to determine the accuracy of the pure traffic model in a simulation environment (Python)
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即将到来的瓶颈路段车辆速度控制不同建模方法的比较
随着物联网和智能基础设施的发展,模拟交通不再是纯粹的数学问题,由于车辆之间不断的数据共享和控制车辆行为的高度自动化系统,也需要将车辆动力学作为一个重要因素。本文旨在对基于元胞自动机理论的传统交通流模型进行升级,纳入车辆的位置和速度,并引入纵向车辆动力学模型,以确定纯交通模型在仿真环境下的准确性(Python)。
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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