Adaptive signal control expert by artificial neural network training

Amoeba T S Chang
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引用次数: 2

Abstract

An advanced signal system, named INTELS (with subsystems, ITSS, IMSS, and MCC), has been proposed for several years and has been upgraded recently. Originally, it only used an expert system to generate a suitable phase during each beginning state of the timing determination; thus no cycle with a steady sequence was possible. Except for the above function, the system is being remodeled to possess the capability of planning optimal timing by using a reasonable traffic forecasting model via an artificial neural network. This paper describes the system's framework, executing process, and the abstract control structure, including the phase generation and the timing design.
由人工神经网络训练的自适应信号控制专家
一种名为英特尔的先进信号系统(包括子系统,ITSS, IMSS和MCC)已经提出了好几年,最近进行了升级。最初,它只使用专家系统在每个开始状态的时序确定中生成合适的相位;因此,不可能有一个稳定序列的循环。除上述功能外,还通过人工神经网络对系统进行改造,利用合理的交通预测模型,使系统具备规划最优授时的能力。本文介绍了该系统的总体结构、执行过程和抽象控制结构,包括相位生成和时序设计。
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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