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Vehicle trajectory data warehouse: point of interest and time interval of interest

Published:22 March 2017Publication History

ABSTRACT

The continuous evolution of mobile applications and the ubiquitous positioning devises generate huge amount of trajectory data related to moving objects. The data is stored into trajectory data warehouse which is the best repository that can deal with spatiotemporal data.

In this work, we take as example of moving object the vehicles. The corresponding trajectory data are sent via GPS that gives the latitude, longitude as well as the speed.

Basing on the study of the vehicles' speed, we give a new definition of the point of interest that corresponds to a specific point in space and time where there is a radical shift in speed of the vehicle. We present, also, a new concept Time interval Of Interest that corresponds to the interval of time that separates two consecutive points of interests.

The analysis of point of interest and time interval of interest can generate valuable information such as the traffic jam areas, their duration, etc.

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  • Published in

    cover image ACM Other conferences
    ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing
    March 2017
    1349 pages
    ISBN:9781450347747
    DOI:10.1145/3018896

    Copyright © 2017 ACM

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    New York, NY, United States

    Publication History

    • Published: 22 March 2017

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