考虑延迟记忆驾驶行为的汽车跟驰模型反馈控制

2021 13th International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2021-05-14 DOI:10.1109/ICACI52617.2021.9435881

Tong Zhou, Yuxuan Li, Zhiyong Yang

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引用次数: 0

摘要

本文在经典的耦合地图跟车模型[11]的基础上，提出了一种考虑延迟记忆驾驶行为的新型控制跟车模型。利用控制理论得到了控制系统的稳定条件。仿真结果表明，包含延迟记忆的控制信号可以提高交通流的稳定性。此外，随着控制信号的增加，交通系统的控制效果也越来越好。

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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Feedback control for car-following model with the consideration of the delay memory driving behavior

In this paper, based on the classic coupled map car-following model [11], a new control car-following model is presented with the consideration of the delay memory driving behavior. The stability condition of the control system is obtained via control theory. Numerical simulation implies that the contained delay memory control signal can improve the stability of traffic flow. Furthermore, with the increase of control signal, the control effect of traffic system becomes better.

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2021 13th International Conference on Advanced Computational Intelligence (ICACI)

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