A smart city adaptive lighting system

Gagliardi, Gianfranco; Casavola, Alessandro; Lupia, Marco; Cario, Gianni; Tedesco, Francesco; Scudo, Fabrizio Lo; Gaccio, Francesco Cicchello; Augimeri, Antonio

doi:10.1109/fmec.2018.8364076

Cited by 22 publications

(10 citation statements)

References 8 publications

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“…An urban smart lighting system capable to autonomously control the street lamp lighting level by exploiting data related to vehicles (bus, car, motorcycle and bike) and/or pedestrian's traffic in a specific area was presented in [11]. The system was able to set the lighting level on the basis of required needs and allows one to reduce energy costs.…”

Section: Original Articlementioning

confidence: 99%

Adaptive Lighting System Modelling and Analysis

Abu-Ein¹,

Tjprc²

2019

IJMPERD

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Modelling and analysis for the adaptive lighting system for automobiles will be presented in this work, the system helps drivers to reveal unseen or hidden objects on streets during night driving, all factors affect the efficiency and performance of adaptive lighting system streets will be studied. It is found that the angle of rotation of the front lights on adaptive lighting systems depends on many parameters like: the speed of the car and the yaw rate. Also it is found that as the velocity increases the angle variation increases and as the yaw rate of the tires increases during turning the angle increases.

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Section: Original Articlementioning

confidence: 99%

Adaptive Lighting System Modelling and Analysis

Abu-Ein¹,

Tjprc²

2019

IJMPERD

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“…The significant advantages of LEDs over conventional incandescent and fluorescent lamps along with the smart control schemes that their development facilitates [1,2] have led to their massive incorporation in the lighting systems of the majority of heavy-duty vehicles, such as buses, trucks and lorries. However, the energy saving profit of LED technology, coming out from the direct conversion of the electric energy into light and thus avoiding large heat emissions [3,4], is incompatible with the majority of vehicles' central control units (CCUs) under study; the extremely low power consumption of LED technology cannot be recognized as a normal operation condition by the CCUs, resulting in the assumption of faulty operation in the lighting system.…”

Section: Introductionmentioning

confidence: 99%

Innovative Energy-Recovery Unit for the LED-Lighting System of Heavy-Duty Vehicles

et al. 2021

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In this work, the development of an energy recovery control unit to be incorporated in the light-emitting diodes (LEDs) lighting systems of heavy-duty vehicles is presented. This innovative industrial product adopts modern power electronics technology to improve existing trucks’ LED lighting system by eliminating the so far inevitable power consumption by the conventional central control unit of the majority of these vehicles, which is obligatory for the uninterruptable operation of their lighting system. The main idea of this innovative product is its capability to virtually increase the lighting system power consumption without actually consuming this amount of energy, thus facilitating the central control unit requirements regarding these vehicles in an energy-conscious way. Under this light, a mature power converter’s topology is employed to draw the proper amounts of power from the vehicle’s batteries supply, to the level that the central control unit recognizes, and return this energy back to the batteries. The tests results of the developed industrial product highlight the energy saving potential of the proposed energy recovery scheme, while the Life Cycle Cost Analysis (LCCA) results confirm its techno-economical and environmental profit for the truck applications under study.

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“…In contrast to many traditional light sources, such as incandescent or compact fluorescent light bulbs, LEDs are driven by direct current (DC) and, therefore, require suitable dimming strategies. Commonly used LED driver control methods that have successfully been applied in the smart-lighting context include analog 0-10 V dimming [6][7][8] as well as digital protocols such as DALI [9][10][11] or ZigBee [12][13][14] standards. In the former case, a DC voltage between 0 and 10 V is used as a simple control signal to be sent to the actual LED driver [6], which eventually adjusts the LED load current and, thus, the light output in the range from minimum (typically between 1 and 10 % depending on the driver design) to 100 %.…”

Section: Introductionmentioning

confidence: 99%

Unsupervised Clustering Pipeline to Obtain Diversified Light Spectra for Subject Studies and Correlation Analyses

et al. 2021

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Current subject studies and data-driven approaches in lighting research often use manually selected light spectra, which usually exhibit a large bias due to the applied selection criteria. This paper, therefore, presents a novel approach to minimize this bias by using a data-driven framework for selecting the most diverse candidates from a given larger set of possible light spectra. The spectral information per wavelength is first reduced by applying a convolutional autoencoder. The relevant features are then selected based on Laplacian Scores and transformed to a two-dimensional embedded space for subsequent clustering. The low dimensional embedding, from which the required diversity follows, is done with respect to the locality of the features. In a second step, photometric parameters are considered and a second clustering is performed. As a result of this algorithmic pipeline, the most diverse selection of light spectra complying with a given set of relevant photometric parameters can be extracted and used for further experiments or applications.

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A smart city adaptive lighting system

Cited by 22 publications

References 8 publications

Adaptive Lighting System Modelling and Analysis

Adaptive Lighting System Modelling and Analysis

Innovative Energy-Recovery Unit for the LED-Lighting System of Heavy-Duty Vehicles

Unsupervised Clustering Pipeline to Obtain Diversified Light Spectra for Subject Studies and Correlation Analyses

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