基于粒度计算的交通管理决策支持  

Traffic Management and Decision-Making Support Based on Granular Computing

作　　者：戢晓峰[1] 刘澜[1] 吴其刚[1] 

机构地区：[1]西南交通大学交通运输学院,成都市610031

出　　处：《公路》2008年第10期129-133,共5页Highway

基　　金：国家"863"高技术研究发展计划项目;项目编号2006AA11Z206

摘　　要：将粒度计算理论运用于交通管理决策支持,给出了交通信息颗粒及其粒度的定义,并建立了基于粒度计算的交通管理决策逻辑框架。以一个示例路网探讨了交通流信息颗粒的构造方法及其粒度层次,验证了粒度计算可以整合现有交通信息处理方法,并满足交通管理决策需要。Granular computing theory is applied in traffic management and decision-making support. Traffic information granule and its granularity are defined, and then a methodology that provides a framework of traffic management and decision-making is presented based on GrC. The methods of traffic flow information granule construction and their granularity are discussed based on a demonstration network in detail. The existing traffic information processing methods could be integrated based on GrC, and the proposed methodology can satisfy the demand of traffic management and decision-making.

关 键 词：交通管理决策 粒度计算 交通信息 交通流信息颗粒 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]