Estimation of Delay using Sensor Data for Reporting through Business Intelligence

Victor Molano; Alexander Paz

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Paper

Estimation of Delay using Sensor Data for Reporting through Business Intelligence

Topics: Congestion Management and Avoidance; Traffic and Vehicle Data Collection and Processing

In Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 99-103, 2016 , Rome, Italy

Authors: Victor Molano and Alexander Paz

Affiliation: University of Nevada, United States

Keyword(s): Business Intelligence, Delay, Sensor Data, Intelligent Transportation Systems.

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.

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Paper citation in several formats:

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 - VEHITS; ISBN 978-989-758-185-4; ISSN 2184-495X, SciTePress, pages 99-103. DOI: 10.5220/0005865200990103

@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 - VEHITS},
year={2016},
pages={99-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005865200990103},
isbn={978-989-758-185-4},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Estimation of Delay using Sensor Data for Reporting through Business Intelligence
SN - 978-989-758-185-4
IS - 2184-495X
AU - Molano, V.
AU - Paz, A.
PY - 2016
SP - 99
EP - 103
DO - 10.5220/0005865200990103
PB - SciTePress