一种新型的自学习智能式城市交通实时控制系统

A NEW MACHINE-LEARNING URBAN TRAFFIC CONTROL SYSTEM

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．

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.