Big Data Processing Framework of Road Traffic Collision Using Distributed CEP

DOI

抄録

The traffic information is a big data comes from varying sources, such as, social sites, mobile phone GPS signals and so on. The Hadoop and HBase can store and analyze real-time collision data in a distributed processing framework. This framework can be designed as flexible and scalable framework using distributed CEP that process massive real-time traffic data and ESB that integrates other services. In this paper, we propose a new architecture for distributed processing that enables big data processing on the road traffic data and its related information analysis. We tested the proposed framework on road traffic data on a 45-mile section of I-880N freeway CA, USA. By integrating freeway traffic big data and collision data over a ten-year period (1TB Size), we obtained the collision probability data.

収録刊行物

  • IEICE Proceeding Series

    IEICE Proceeding Series 21 S3-3-, 2014-09-17

    The Institute of Electronics, Information and Communication Engineers

キーワード

詳細情報 詳細情報について

  • CRID
    1390282752335964544
  • NII論文ID
    230000000510
  • DOI
    10.34385/proc.21.s3-3
  • ISSN
    21885079
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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