Estimation of Delay using Sensor Data for Reporting through Business Intelligence

Victor Molano, Alexander Paz

Abstract

This study proposes a simple method to estimate delay using sensor data with the final objective of processing and reporting the information through Business Intelligence. The method involves three main tasks: determination of the Peak Period, definition of seasons used by FAST, and the calculation of delay. A small portion of the Las Vegas Roadway network is used to illustrate results. Functional requirements for Business Intelligence are proposed.

References

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Paper Citation


in Harvard Style

Molano V. and Paz A. (2016). Estimation of Delay using Sensor Data for Reporting through Business Intelligence . In Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-185-4, pages 99-103. DOI: 10.5220/0005865200990103


in Bibtex Style

@conference{vehits16,
author={Victor Molano and Alexander Paz},
title={Estimation of Delay using Sensor Data for Reporting through Business Intelligence},
booktitle={Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2016},
pages={99-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005865200990103},
isbn={978-989-758-185-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Estimation of Delay using Sensor Data for Reporting through Business Intelligence
SN - 978-989-758-185-4
AU - Molano V.
AU - Paz A.
PY - 2016
SP - 99
EP - 103
DO - 10.5220/0005865200990103