交通信息与安全
交通信息與安全
교통신식여안전
JOURNAL OF TRANSPORT INFORMATION AND SAFETY
2014年
2期
86-89
,共4页
智能运输系统%大数据%虚拟实验室%系统框架
智能運輸繫統%大數據%虛擬實驗室%繫統框架
지능운수계통%대수거%허의실험실%계통광가
intelligent transportation system%big data%virtual lab%system architecture
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。
城市智能交通繫統解決方案的開髮和驗證是製約我國城市智能交通繫統應用的1箇重要因素。針對我國城市智能交通繫統解決方案驗證的需求,應用大數據理論和方法,提齣瞭1箇基于大數據技術的城市交通在線實驗環境,論述瞭其主要需求和特點,給齣瞭其功能框架和物理框架,併採用噹前主流的 Hadoop開源框架,基于 HDFS數據存儲和MapReduce數據併行處理機製建立瞭該實驗環境的軟件實施框架。利用該實驗環境可定製併創建麵嚮用戶的城市智能交通業務分析虛擬實驗室,實現城市智能交通繫統解決方案的快速開髮和驗證,有助于我國城市智能交通繫統的開髮和建設。
성시지능교통계통해결방안적개발화험증시제약아국성시지능교통계통응용적1개중요인소。침대아국성시지능교통계통해결방안험증적수구,응용대수거이론화방법,제출료1개기우대수거기술적성시교통재선실험배경,논술료기주요수구화특점,급출료기공능광가화물리광가,병채용당전주류적 Hadoop개원광가,기우 HDFS수거존저화MapReduce수거병행처리궤제건립료해실험배경적연건실시광가。이용해실험배경가정제병창건면향용호적성시지능교통업무분석허의실험실,실현성시지능교통계통해결방안적쾌속개발화험증,유조우아국성시지능교통계통적개발화건설。
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 .