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机构地区:[1]南京三宝科技股份有限公司,南京210049 [2]国家射频识别(RFID)系统工程技术研究中心,南京210049 [3]东南大学智能运输系统研究中心,南京210096
出 处:《交通信息与安全》2014年第2期86-89,共4页Journal of Transport Information and Safety
基 金:国家科技支撑计划项目(批准号:2001BAK21B01)资助
摘 要:城市智能交通系统解决方案的开发和验证是制约我国城市智能交通系统应用的1个重要因素。针对我国城市智能交通系统解决方案验证的需求,应用大数据理论和方法,提出了1个基于大数据技术的城市交通在线实验环境,论述了其主要需求和特点,给出了其功能框架和物理框架,并采用当前主流的Hadoop开源框架,基于HDFS数据存储和MapReduce数据并行处理机制建立了该实验环境的软件实施框架。利用该实验环境可定制并创建面向用户的城市智能交通业务分析虚拟实验室,实现城市智能交通系统解决方案的快速开发和验证,有助于我国城市智能交通系统的开发和建设。The development and validation of urban intelligent transportation system (ITS) solution is one of the factors holding back the real world application of such urban ITS solutions .Targeting the need for validating the urban ITS solutions ,a big data technology based online urban transportation system laboratory environment is proposed in this paper through applying the techniques of big data theory and method ,with its main requirements and characteristics de-scribed and its functional architecture and physical architecture presented .In addition ,based on the current mainstream open source architecture of Hadoop ,software implementation architecture of the proposed environment is presented by u-sing the HDFS data storage method and the MapReduce parallel data processing mechanism .Through this environment , users can create user-specific virtual urban ITS analysis lab ,realizing the rapid development and validation of urban ITS solutions and hence promoting the development and construction of real world urban intelligent transportation systems .
分 类 号:U495[交通运输工程—交通运输规划与管理]
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