Data Management Challenges for Computational Transportation

Walid G. Aref; Mourad Ouzzani

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