Citation

García-Castellano M, González-Romo JM, Gómez-Galán JA, García-Martín JP, Torralba A, Pérez-Mira V. Sensors (Basel) 2019; 19(23): s19235101.

Affiliation

Departamento de Ingeniería Química, ETS Ingenieros, Universidad de Sevilla, Seville 41092, Spain.

Copyright

(Copyright © 2019, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s19235101

PMID

31766468

Abstract

This work presents the development and construction of an adaptive street lighting system that improves safety at intersections, which is the result of applying low-power Internet of Things (IoT) techniques to intelligent transportation systems. A set of wireless sensor nodes using the Institute of Electrical and Electronics Engineers (IEEE) 802.15.4 standard with additional internet protocol (IP) connectivity measures both ambient conditions and vehicle transit. These measurements are sent to a coordinator node that collects and passes them to a local controller, which then makes decisions leading to the streetlight being turned on and its illumination level controlled. Streetlights are autonomous, powered by photovoltaic energy, and wirelessly connected, achieving a high degree of energy efficiency. Relevant data are also sent to the highway conservation center, allowing it to maintain up-to-date information for the system, enabling preventive maintenance.

Language: en

Keywords

IoT; intelligent transportation systems; low-power; road lighting; smart lighting; traffic intersections; wireless sensors