高速公路交通密度控制的迭代学习控制方法

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems Pub Date : 2003-12-19 DOI:10.1109/ITSC.2003.1252652

Z. Hou, Jian-xin Xu

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引用次数: 21

摘要

本文提出了一种用于宏观高速公路环境下交通密度控制的迭代学习控制方案。经过严格的分析，所提出的智能控制方案保证了交通密度的渐近收敛。将该控制方案应用于高速公路模型，仿真结果验证了该方法的有效性。

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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Freeway traffic density control using iterative learning control approach

In this paper, an iterative learning control scheme is developed to the traffic density control in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligent control scheme guarantees the asymptotic convergence of the traffic density to the desired one. The control scheme is applied to a freeway model, and simulation results confirm the efficacy of the proposed approach.

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Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems

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