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Related Experiment Video

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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

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Published on: January 20, 2023

ITERL: A Wireless Adaptive System for Efficient Road Lighting.

María García-Castellano¹, Juan Manuel González-Romo¹, Juan Antonio Gómez-Galán²

¹Departamento de Ingeniería Electrónica, ETS Ingenieros, Universidad de Sevilla, Seville 41092, Spain.

Sensors (Basel, Switzerland)

|November 27, 2019

Summary

This study introduces an adaptive street lighting system using Internet of Things (IoT) technology to enhance intersection safety. The system intelligently controls illumination and energy efficiency, powered by solar energy.

Keywords:

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

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Area of Science:

Engineering
Computer Science
Transportation Science

Background:

Intersections are high-risk areas in intelligent transportation systems.
Traditional street lighting lacks adaptability and energy efficiency.
The integration of Internet of Things (IoT) offers potential for smarter infrastructure.

Purpose of the Study:

To develop and construct an adaptive street lighting system for improved intersection safety.
To leverage low-power IoT techniques for intelligent transportation.
To enhance energy efficiency in street lighting infrastructure.

Main Methods:

Utilized wireless sensor nodes adhering to the Institute of Electrical and Electronics Engineers (IEEE) 802.15.4 standard with Internet Protocol (IP) connectivity.
Implemented a system to measure ambient conditions and vehicle transit.
Developed a local controller for autonomous decision-making regarding streetlight activation and illumination levels.
Powered streetlights using photovoltaic energy for autonomous operation.

Main Results:

The system demonstrated adaptive control of streetlights based on real-time data.
Achieved significant energy efficiency through autonomous, solar-powered, and wirelessly connected lighting.
Enabled remote data transmission to highway conservation centers for system monitoring and preventive maintenance.

Conclusions:

The developed adaptive street lighting system effectively improves intersection safety.
IoT integration in intelligent transportation systems leads to enhanced operational efficiency and energy savings.
The system provides a sustainable and maintainable solution for modern urban infrastructure.