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一种新型的自学习智能式城市交通实时控制系统
引用本文:王桂珠,贺国光,马寿峰.一种新型的自学习智能式城市交通实时控制系统[J].自动化学报,1995,21(4):424-430.
作者姓名:王桂珠  贺国光  马寿峰
作者单位:1.天津大学自动化系,天津;
摘    要:本文介绍了作者与合作者们研制成功的城市交通智能式实时控制系统(简称TICS)的硬 体结构框图,从交通工程学、计算机技术、系统结构和控制方式等角度分析了它的基本原理, 给出了包括主控回路和学习回路的控制原理框图,从交通状态推理和实时控制变量推理二个 方面介绍了它的推理机制,说明了它的学习机制,最后简述了对周期、相位差、绿信比的处理 原则.

关 键 词:城市交通实时控制系统    智能控制    学习控制    区域协调控制
收稿时间:1993-7-14

A New Machine-learning Urban Traffic Control System
Wang Guizhu,He Guoguang,Ma Shoufeng.A New Machine-learning Urban Traffic Control System[J].Acta Automatica Sinica,1995,21(4):424-430.
Authors:Wang Guizhu  He Guoguang  Ma Shoufeng
Affiliation:1.Department of Automation Tianjin University;Institute of Systems Engineering Tianjin University Tianjin
Abstract:A new intelligent urban traffic real-time control system has been designed and completed by the authors and their colleagues. This paper analyses its basic principle from the point of view of transportation engineering, computer science, system structure and control method, etc., The schematic diagram of the system including the main control loop and the machine learning loop is given. Its inference process (traffic flow state inference process and real-time control variable inference process) and machine-learning rules are described. The treatment principle of cycle, offset and split is introduced.
Keywords:Urban real-time traffic control system  intelligent control  machinelearning control  area co-ordinated control
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