An Energy Efficient Pedestrian Aware Smart Street Lighting System

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An energy efficient pedestrian aware Smart Street Lighting system
¨ Reinhard Mullner and Andreas Riener
Institute for Pervasive Computing, Johannes Kepler University Linz, Linz, Austria
Abstract
Purpose – Conventional street lighting systems in areas with a low frequency of passersby are online most of the night without purpose. The consequence is that a large amount of power is wasted meaninglessly. With the broad availability of flexible-lighting technology like light-emitting diode lamps and everywhere available wireless internet connection, fast reacting, reliably operating, and power-conserving street lighting systems become reality. The purpose of this work is to describe the Smart Street Lighting (SSL) system, a first approach to accomplish the demand for flexible public lighting systems. Design/methodology/approach – This work presents the SSL system, a framework developed for a dynamic switching of street lamps based on pedestrians’ locations and desired safety (or “fear”) zones. In the developed system prototype, each pedestrian is localized via his/her smartphone, periodically sending location and configuration information to the SSL server. For street lamp control, each and every lamppost is equipped with a ZigBee-based radio device, receiving control information from the SSL server via multi-hop routing. Findings – This research paper confirms that the application of the proposed SSL system has great potential to revolutionize street lighting, particularly in suburban areas with low-pedestrian frequency. More important, the broad utilization of SSL can easily help to overcome the regulatory requirement for CO2 emission reduction by switching off lampposts whenever they are not required. Research limitations/implications – The paper discusses in detail the implementation of SSL, and presents results of its application on a small scale.

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Reinhard Mullner is the corresponding author and can be contacted at: [e-mail] Andreas Riener carried out his PhD at the Institute for Pervasive Computing, JKU Linz, Austria from which he received his PhD degree in 2009. In his PhD thesis, he has confirmed driver-vehicle interfaces as complex configurations of technological system components and services, and implicit interaction therein as a major research challenge. In a substantial part of his thesis, he dealt with implicit interaction modalities based on vibro-tactile sensations and notifications affecting the driver-vehicle feedback loop. Since 2009, he is a Postdoctoral Research Fellow at the same institute. Andreas Riener is and was engaged in several EU- and industrial-funded research projects, for instance in cooperation projects with Siemens AG or in the FP7 FET-Open project SOCIONICAL. His research interests include multi-modal sensor and actuator systems with a focus on implicit human-computer interaction. Furthermore, he is interested in driver vital state recognition from embedded sensors and context-sensitive data processing. His core competence and research focus is context-aware computing and implicit interaction influencing the driver-vehicle interaction loop. Pedestrian aware Smart Street Lighting 161 To purchase reprints of this article please e-mail: [e-mail] Or visit our web site for further details: www.emeraldinsight.com/reprints