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智能交通系统是交通工程与智能系统的结合体,信息处理技术是其研究的核心内容之一。针对交通系统的动态性、不确定性、时空相关性等特点,用传统方法建模和处理系统问题存在局限性,故本文从智能技术角度出发,将智能交通系统作为一个智能系统考虑,系统阐述了当今热门的智能信息处理方法:以神经计算、模糊计算和进化计算为核心内容的软计算技术及其与智能交通系统的有机结合途径。
Intelligent transportation system is a combination of traffic engineering and intelligent system, and information processing technology is one of the core contents of its research. In view of the characteristics of traffic system such as the dynamics, uncertainty and spatiotemporal correlation, the traditional method of modeling and dealing with system problems has its limitations. Therefore, from the perspective of intelligent technology, this paper considers intelligent transportation system as an intelligent system, Nowadays popular intelligent information processing methods: neural computing, fuzzy computing and evolutionary computing as the core content of the soft computing technology and its integration with the intelligent transportation system.