1st International ICST Workshop on Computational Transportation Science

Research Article

Data Management Challenges for Computational Transportation

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/ICST.MOBIQUITOUS2008.4014,
    author={Walid G. Aref and Mourad Ouzzani},
    title={Data Management Challenges for Computational Transportation},
    proceedings={1st International ICST Workshop on Computational Transportation Science},
    publisher={ACM},
    proceedings_a={IWCTS},
    year={2010},
    month={5},
    keywords={Intelligent Transportation Systems Spatiotemporal Databases Moving Object Databases Computational Transportation.},
    doi={10.4108/ICST.MOBIQUITOUS2008.4014}
}
  • Walid G. Aref
    Mourad Ouzzani
    Year: 2010
    Data Management Challenges for Computational Transportation
    IWCTS
    ICST
    DOI: 10.4108/ICST.MOBIQUITOUS2008.4014
Walid G. Aref1,*, Mourad Ouzzani2,*
  • 1: Department of Computer Science, Purdue University, West Lafayette, IN 47907 Phone: +1 765 494 1997
  • 2: Cyber Center, Purdue University, West Lafayette, IN 47907 Phone: +1 765 494 7917
*Contact email: aref@cs.purdue.edu, mourad@cs.purdue.edu

Abstract

Computational Transportation is an emerging discipline that poses many data management challenges. Computational transportation is characterized by the existence of a massive number of moving objects, moving sensors, and moving queries. This paper highlights important data management challenges for computational transportation and promising approaches towards addressing them.

Keywords
Intelligent Transportation Systems Spatiotemporal Databases Moving Object Databases Computational Transportation.
Published
2010-05-16
Publisher
ACM
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.MOBIQUITOUS2008.4014
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