Abstract

This paper reports the results of a recently concluded R&D project, SCALS (Smart Cities Adaptive Lighting System), which aimed at the development of all hardware/software components of an adaptive urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps. The system is capable to autonomously adjust street lamps’ brightness on the basis of the presence of vehicles (busses/trucks, cars, motorcycles and bikes) and/or pedestrians in specific areas or segments of the streets/roads of interest to reduce the energy consumption. The main contribution of this work is to design a low cost smart lighting system and, at same time, to define an IoT infrastructure where each lighting pole is an element of a network that can increase their amplitude. More generally, the proposed smart infrastructure can be viewed as the basis of a wider technological architecture aimed at offering value-added services for sustainable cities. The smart architecture combines various sub-systems (local controllers, motion sensors, video-cameras, weather sensors) and electronic devices, each of them in charge of performing specific operations: remote street segments lamp management, single street lamp brightness control, video processing for vehicles motion detection and classification, wireless and wired data exchanges, power consumptions analysis and traffic evaluation. Two pilot sites have been built up in the project where the smart architecture has been tested and validated in real scenarios. Experimental results show that energy savings of up to 80% are possible compared to a traditional street lamp system.

Highlights

  • According to [1,2], 80% of currently produced electrical power is used to supply urban necessities and about 60% out of this is required for street lamps, due to their continuous operations at night time

  • Energy saving is a key point in the context of smart cities; in this paper, we focus on the achievable energy savings by adopting smart lighting systems in place of traditional incandescent/fluorescent lamps

  • In order to demonstrate the effectiveness of the proposed smart street lighting system two experimental pilot sites were built up

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Summary

Introduction

According to [1,2], 80% of currently produced electrical power is used to supply urban necessities and about 60% out of this is required for street lamps, due to their continuous operations at night time. The proposed smart infrastructure can be viewed as the basis of a wider technological architecture aimed at offering services (e.g., energy management, environmental monitoring, traffic monitoring and management, decision process support, etc.) for sustainable cities In this context, a lighting pole plays a key role and can be viewed as an enabling element for value-added services. A lighting pole plays a key role and can be viewed as an enabling element for value-added services In this respect, the main idea is to endow street lamps with electronic devices designed and customized to control the light intensity as a function of vehicles and pedestrian presence in the accounted area.

Adaptive Smart Street Lighting Architecture
Network Infrastructure
Lighting Control System
Remote Management and Control via Web Application and Mobile APP
Video Processing for Vehicles and Pedestrians Detection
Background model
Experimental Results
Conclusions
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