Estimation of Delay using Sensor Data for Reporting through Business Intelligence

Victor Molano, Alexander Paz

2016

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.

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