摘要
针对目前道路运输安全管理决策缺乏针对性和有效性的问题,提出基于车载GPS监控数据,将多维分析技术应用于营运车辆GPS监控数据的分析,从而获得车辆的行驶规律,以加强安全管理。在对现有基础和条件进行分析的基础上,提出了道路运输安全管理MDAS总体解决方案,包括系统的全局网络拓扑结构和五层体系结构。设计了基于DTS和触发器的数据抽取器,分别利用概化和最近点估计地图匹配算法对非空间和空间数据进行预处理,设计了雪花MDAS数据仓库模型、MDAS数据集及基于MDX的数据分析引擎。以此为基础,开发了重庆市道路运输安全管理MDAS。应用表明,该系统符合道路运输安全管理决策支持的需求。
This paper introduced a method of applying the multi-dimensional analysis technology to the analysis of GPS monitoring data of commercial vehicles,for the purpose of solving the problems of the lack of pertinence and validity which exist in the process of decision-making in the roadway transportation safety management nowadays.After analyzing the application state in existence,ageneral solution of MDAS for the transportation safety management,including the global Network Topology framework and the five-layer system structure was presented.Moreover,a data extractor based on the DTS and the trigger was designed,and the non-spacial and spacial data were preprocessed with generalizability theory and the method of the nearest point estimation map-matching.Then,the snowflake model of the data warehouse,MDAS data collection and the data analysis engine based on the MDX were devised.On the basis of the above technologies,the MDAS for Chongqing City’s roadway transportation safety management was developed and realized.The real application shows that MDAS meet the requirement of the decision support in transportation safety management.
出处
《计算机科学》
CSCD
北大核心
2012年第9期220-224,共5页
Computer Science
基金
教育部高等学校博士点基金(20090191110022)资助
关键词
道路运输安全管理
多维分析
决策支持
Transportation safety management
Multi-dimensional analysis
Decision support
作者简介
孙棣华（1962-），男，博士，教授，博士生导师，主要研究领域为智能交通系统、计算机控制系统、计算机管理与控制，E-mail：d3sun@163．com；
唐亮（1975-），男，博士生，主要研究领域为智能交通。
