交通信息提取计算理论及其技术框架与发展策略

在概要介绍信息提取计算技术(Granular Computing)的发展概况、有关概念、基本理念和技术要点的基础上,分析信息提取计算技术对于交通数据处理的适用性,将信息提取计算技术引入交通数据处理领域,从理论方法、支撑环境和应用技术三个方面,提出了交通信息提取计算技术的概念模型和技术框架,并在理论方法上进行了较大拓展,融入了传统数学方法、知识发现型方法和非量化方法。最后,分析并提出了交通信息提取计算技术的总体发展思路和推进策略。

Transport Information Granular Computing Introduction Technical Architecture and Development Strategy

Based on a brief introduction Granular Computing overview,relative concepts,basic idea,and main technical points,as well as the analysis of its adaptability towards transport data processing,the Granular Computing technology is introduced to the area of transport data processing and a new technology,named as Transport Information Granular Computing,is put forward.Then the conceptual model and technical architecture of this technology are introduced from the point of view of theoretical methodology,support environment and application technology,and the theoretical method is broaden by integrating traditional mathematical methods,knowledge-mining based methods,and non-quantitative methods.Finally,the development strategy for Transport Information Granular Computing is suggested.