@inproceedings{5b12f6e9a79745389d547af6300000ec,
title = "Vehicle and pedestrian aware street lighting automation",
abstract = "The emergence of LED luminaires that can be dimmed rapidly and frequently enables radical innovations in street lighting automation. It is possible to save considerable amounts of energy by adjusting street lighting according to the movements of individual road users. Since the same lights are often used for illuminating both vehicle lanes and sidewalks, it is necessary to detect both vehicles and pedestrians. A simulation of vehicle and pedestrian traffic is interfaced to a distributed street lighting system based on the IEC 61499 standard, in order to quantify the energy saving potential of a street lighting automation system that exploits real-time sensing information of individual road users while conforming to traffic safety related requirements for road lighting.",
keywords = "Energy Efficiency, IEC 61499, Intelligent Street Lighting, LED, pedestrian cellular automata",
author = "Yang, {Chen Wei} and Evgeny Nefedov and Seppo Sierla and Paul Flikkema",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 13th International Conference on Industrial Informatics, INDIN 2015 ; Conference date: 22-07-2015 Through 24-07-2015",
year = "2015",
month = sep,
day = "28",
doi = "10.1109/INDIN.2015.7281917",
language = "English (US)",
series = "Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1269--1274",
booktitle = "Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015",
}