Issue 2
Apr.  2014
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XIN Kejun, LIANG Biao, GUO Jianhua. Big Data Technology-based Online Urban Transportation System Laboratory Environment Design[J]. Journal of Transport Information and Safety, 2014, (2): 86-89. doi: 10.3963/j.issn.1674-4861.2014.02.017
Citation: XIN Kejun, LIANG Biao, GUO Jianhua. Big Data Technology-based Online Urban Transportation System Laboratory Environment Design[J]. Journal of Transport Information and Safety, 2014, (2): 86-89. doi: 10.3963/j.issn.1674-4861.2014.02.017

Big Data Technology-based Online Urban Transportation System Laboratory Environment Design

doi: 10.3963/j.issn.1674-4861.2014.02.017
  • Publish Date: 2014-04-28
  • 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 .

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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