A Traffic-aware Street Lighting System Based on Fuzzy Logic Controller

Agramelal, Fouad; Sadik, Mohamed; Hannani, Asmaa El; Moubarak, Youssef

doi:10.1109/cspa55076.2022.9782045

Cited by 10 publications

(8 citation statements)

References 9 publications

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“…It is also worth noting that few references use static control in conjunction with standalone SLs, as energy efficiency in this case is marginal due to driver losses [45], and it may not meet energy needs during the winter [52].…”

Section: Static Control Methodsmentioning

confidence: 99%

“…Other parametric models involve a time-series model called the Auto-regressive Integrated Moving Average models (ARIMA). In the study of Agramelal et al [94], one of the studied forecast models is the seasonal ARIMA model, i.e., SARIMA, which contains seasonal autoregressive, differencing and moving average components to deal with seasonality in data. The model was tested against others in order to predict the upcoming hourly traffic flow on a highway to control stand-alone SLs.…”

Section: • Parametric and Non-parametric Traffic Modelsmentioning

confidence: 99%

“…They referred to the EN 13201-2 [133], norm to translate the forecasted traffic into appropriate lighting classes. Agramelal et al [94], explored various types of ANNs for traffic forecasting and controlling PV-powered streetlights. They tested a single hidden layer FFNN and a deep neural network (DNN) with multiple hidden layers, using different lag values to predict traffic on a highway for the upcoming hour.…”

Section: User-driven Controlmentioning

confidence: 99%

See 2 more Smart Citations

Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications

Agramelal,

Sadik,

Moubarak

et al. 2023

Energies

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As urbanization increases, streetlights have become significant consumers of electrical power, making it imperative to develop effective control methods for sustainability. This paper offers a comprehensive review on control methods of smart streetlight systems, setting itself apart by introducing a novel light scheme framework that provides a structured classification of various light control patterns, thus filling an existing gap in the literature. Unlike previous studies, this work dives into the technical specifics of individual research papers and methodologies, ranging from basic to advanced control methods like computer vision and deep learning, while also assessing the energy consumption associated with each approach. Additionally, the paper expands the discussion to explore alternative functionalities for streetlights, such as serving as communication networks, environmental monitors, and electric vehicle charging stations. This multidisciplinary research aims to be a pivotal resource for both academics and industry professionals, laying the groundwork for future innovation and sustainable solutions in urban lighting.

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Section: Static Control Methodsmentioning

confidence: 99%

Section: • Parametric and Non-parametric Traffic Modelsmentioning

confidence: 99%

Section: User-driven Controlmentioning

confidence: 99%

See 1 more Smart Citation

Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications

Agramelal,

Sadik,

Moubarak

et al. 2023

Energies

Self Cite

View full text Add to dashboard Cite

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“…According to the current domestic situation, no community uses or builds LED light belts as guide signs in the community, but with the exponential growth of urban migration population, the increasingly complex residential road conditions have led to the inability to choose the optimal route has become a problem of public concern, and the market demand for this is increasing day by day [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

"Zero Contact" Intelligent Guidance Solution Based on Community Light Belt System

2024

IJNDES

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With the acceleration of urbanization and population growth, the road conditions of the community are becoming more and more complex, how to provide the optimal route for residents, rescue workers, intelligent vehicles and so on has become an urgent problem to be solved. This paper puts forward a solution based on community intelligent light belt system, which aims to realize "zero contact", "intelligent delivery" and "intelligent guide" of intelligent community. The system consists of three parts: the community light belt control system, the delivery car based on photosensitive sensor identification technology, and the database management system of local or cloud platform. This paper successfully achieves the goal of building an intelligent community by means of Arduino code, sensor technology, Internet of things technology and so on.

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“…Nowadays, due to rising electricity prices, there is a need to analyze the advisability of using street lighting, especially in areas where there is no traffic in the illuminated area. The viability of using dynamic street lighting, maintains minimum values in the absence of traffic and dynamically increases the power of the luminaires at the time of detection [45][46][47][48][49]. Another more common way to increase the efficiency of street lighting use is to replace light sources with LED luminaires [50,51].…”

Section: Introductionmentioning

confidence: 99%

Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting

2022

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Street lighting should realise normative illuminance levels throughout the roadway. The determination of the illuminance level of a road requires the use of a measurement technique based on classic point measurements at a specific grid of measurement points. Classical stationary measurements using the method indicated in the prescriptive requirements are time-consuming and labor-intensive. The authors of the article have presented a concept of a measurement system that could be used to partially automate road lighting measurements and increase their universality. The proposed measurement system uses the simultaneous measurement of illuminance values from lux meters located on the roof of the vehicle. The measurement is carried out while the vehicle is driving on a lit road, and the illuminance values are localized using a global GPS satellite location system equipped with RTK corrections. The use of GPS RTK localization data corrections allowed the measurement results to be unambiguously assigned to post-measurement fields. On the basis of the collected measurement data, with the use of terrain maps, it is possible to determine in detail the illuminance parameters on the surveyed road sections. The paper presents the construction of a measurement system for the mobile measurement of street lighting intensity using a GPS RTK receiver, along with verification of its correct operation. The correctness of the system’s operation was confirmed on the basis of the Measurement System Analysis (MSA) method. The calculations performed confirmed an R&R result of 11.14%. The proposed solution allows data on the lighting parameters of the surveyed road section to be obtained in a quick and repeatable manner. As a result, it is possible to make a quick assessment of the street lighting condition of the entire road section. The proposed system has been verified under field conditions and the repeatability of the results obtained has been confirmed.

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A Traffic-aware Street Lighting System Based on Fuzzy Logic Controller

Cited by 10 publications

References 9 publications

Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications

Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications

"Zero Contact" Intelligent Guidance Solution Based on Community Light Belt System

Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting

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