Smart Street Lighting System

Street and public area lighting is a key service provided by municipal government. The public lighting sector is playing an important role in providing convenience, enhancing safety and security, promoting economic development, creation of friendly environment, as well as increasing the aesthetic appeal of surrounding property. The energy consumption in the street lighting sector, whether in public lighting or private users, constitutes a high percentage of the total energy used. Lighting conditions in streets of city of Tirana are currently at a level, which in many cases does not satisfy the requirements set out by legislation and standards. The study is undertaken with the request of Ministry of Infrastructure and Energy with goal to identify the possibility of applying new street lighting systems in Tirana, in order to draft concrete strategies for the future of street lighting in Albania. The study was focus on the opportunities and recommendations for the development and installation of LED technologies in the street lighting of Tirana. The study presented in this paper is completely based on the detailed analysis of the current state of the street lighting system in the Municipality of Tirana by visits and measurements, full information taken by municipality, interviews with responsible people of street lights system, different simulations based on DIALux software for new technology proposed. The study has estimated a great potential electrical energy savings by replacing existing street lighting lamps retrofits with LED in municipality of Tirana, around 33%, which is 4.6 million kWh/year, effecting a reduction of 1.85 million kg CO2 emission. The findings presented in the paper provide information on energy savings opportunities, which can be readily adopted by Municipalities of Albania, in their pursuit of energy and financial savings in street lighting sector.

Libya is one of the countries blessed with high potential of renewable energy. Currently, the electricity in Libya is produced from fossil fuel to meet the demand on the local electricity market. In the near future, the demand on the energy will increase significantly. The growth in energy demand will lead to more oil and gas consumption in Libya. Additionally, the CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emissions will increase substantially. Therefore, Libya should make an urgent plan to use its alternative energy supplies to cover some of its load requirements. For example street lighting forms around 20% of the electricity consumption. The street lighting system in Libya is based on the high pressure sodium lamps which are powered from the electricity grid. The lamp rating ranges from 250 to 400 watts. As the country struggles to satisfy its electricity demands we propose replacing the conventional street lighting system with solar powered LED (Light emitting Diode) lighting system. The paper presents a case study for 4 km solar street lighting system in Almarj city. Two proposals are investigated, the conventional lighting system and the solar powered LED lighting system. A feasibility study of the street lighting system is carried out. The cost, energy savings and the CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emission of the two proposed systems are compared. The cost of the solar powered LED street lighting system is 1,250,200 LD, while the cost of the high pressure Sodium lamp street lighting system is 2,117,255 LD. Additionally, the solar powered LED street lighting system has no CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emissions.

Street Lighting is an important factor for ensuring safety in the city and instilling a sense of security in the mind of the citizens. But the cost associated with it is quite high which is borne by the local municipalities. Recent development in the lighting devices has seen a paradigm shift in the types of devices used which has led to little savings in energy consumption, but a lot remains wasted. Smart street lighting is a cost-effective solution in an urban environment which compromises of advance wireless communication techniques, low cost LED lights and additional sensors which controls the intensity of light. This new system has significant cost and energy savings over the conventional switching ON-OFF method. This paper presents a case study of smart lighting system in Nagpur smart city where one of the goals was to reduce the carbon footprint by reducing the energy consumption. This was achieved by replacing the outdated 320 street luminaries and integrating additional 63 LED lights with motion detection smart lighting system. The deployed intelligent street lighting system of Nagpur smart city has drastically reduced the energy consumption by approximately 55 % per month, while maintaining the lighting norms for the pedestrians and vehicles.

Recent studies have found that LED technology is becoming competitive for streetlight applications compared with commonly employed high-intensity discharge light sources, such as high-pressure sodium (HPS) and metal halide. The expectation is that LED street lighting technology will not only provide more efficient light distribution and increased uniformity but will also save energy and reduce maintenance costs. Seattle City Light (SCL), Washington, has a street lighting system of nearly 84,000 street and area lights that predominantly use HPS light sources. Because of the potential benefits of installing LED luminaires as replacements for these lights, SCL launched the LED Streetlight Application Assessment Project pilot study to evaluate LED luminaires for photometric performance, energy efficiency, economic performance, and other impacts on the SCL streetlight system. The project findings will be used by SCL to create a strategy for the installation of LED streetlights to develop an energy-efficient lighting system. The major elements of this project included LED luminaire selection, simulated photometric performance evaluation of selected LED products, field photometric performance evaluation at selected test sites, and economic performance evaluation in comparison with HPS luminaires. In addition, because combining LED roadway luminaires with new light control systems provides many new options to enhance overall light control, facilitate maintenance, increase luminaire life, and reduce operating costs, a preliminary review of current cutting-edge lighting control systems was conducted.

Conventional street lighting systems in most of the areas are Online at regular intervals of time irrespective of the seasonal variations. The street lights are simply switched on at afternoon and turned off in the morning. The consequence is that a large amount of Power is wasted meaninglessly. As energy consumption is an issue of increasing interest, possible energy savings in public street lighting systems are recently discussed from different viewpoints. The purpose of this work is to describe the Smart Street Lighting system, an approach to accomplish the demand for flexible public lighting systems using a Programmable Logic controller (PLC). The main difference from other computers is that PLCs are armoured for severe conditions such as dust, moisture, heat, cold etc., and have the facility for extensive input/output (I/O) arrangements. In the proposed paper, street lights are controlled using millennium 3 PLC taking the seasonal variations into consideration.

This paper presents a road lighting control system that uses a light-dependent resistor sensor cooperating with an Internet protocol camera to the lower energy consumption during unnecessary use of a lighting system. A microcontroller was used as a control circuit to automatically control the brightness of a light-emitting diode (LED) luminaire, increasing or decreasing the brightness depending on traffic density. The proposed lighting control system was integrated into a nanogrid solar road lighting system and analysed through an experimental setup. Furthermore, nanogrid solar road lighting systems in LED solar stand-alone and grid-connected operations, with and without the proposed lighting control, were investigated and compared with a conventional existing road lighting system in terms of economic feasibility, based on the following indicators: discounted payback period, net present value, internal rate of return, and profitability index. The results indicate that the use of the Internet protocol camera with the LED sensor can automatically control the on/off state or illuminance levels of the LED luminaire, thereby lowering the energy consumption of the road lighting system when lighting is not required. The economic assessment results indicate that the nanogrid solar road lighting system in LED solar stand-alone and grid-connected road lighting modes exhibit feasibility for investment; the latter provides more economic feasibility. However, when the proposed lighting control is included, the nanogrid solar road lighting system in both modes have lower initial investment costs and save more energy. Consequently, the economic results are improved. The use of the proposed lighting control is thus economically feasible for road lighting systems.

The article gives an overview of various researches dealing with smart or intelligent street lighting systems, and what is meant with this term in different countries. Several available architectures of smart street lighting systems as well as those for future are described and discussed. Further some researches and developments of such systems in Riga Technical University are explained with the examples, also showing preliminary practical energy saving results of tests in real conditions of Riga city infrastructure. This is the first part of articles series about this research.

This paper aims at designing a system that focusses on two major societal issues in India i.e. improper garbage management and loss of energy from existing street lighting systems. We designed an intelligent lighting system Using embedded systems and machine learning algorithm we predict the environmental lighting conditions and accordingly change the behavior of the street lights. The present street lighting systems use timer or manual interaction to turn on and off the lights. But these methods are not energy efficient. In our model, we used Light Dependent Resistor LDR and algorithm to eliminate those drawbacks. In Garbage monitoring system, alerting the concerned authorities about the level of garbage collected was the most important aspect. In this system, an Ultrasonic sensor along with machine learning algorithm was used to solve the above situation.

Smart cities are equipped with a modern techno-logical infrastructure that maximizes user comfort with minimal harm to nature. However, to drive the modernized infrastructure, we need energy-efficient policies. In a modernized smart city, streetlights consume lots of power to light the streets. There is a significant need for an intelligent lighting system that can automatically switch the lighting needs according to the types of objects. The proposed smart street light system is equipped with an LDR sensor system to monitor the ambient light intensity and operate the street light. LDR also locate the fault in the street light using the light intensity threshold. A master pole communicates with the slave poles using Zigbee. The master pole controls the light intensity at the slave pole whenever a vehicle is detected. A ferromagnetic sensor underneath the road monitors the metallic vehicles. We have deployed two ferromagnetic sensors one meter apart to expand the intelligence of vehicle classification, speed, and length. We have designed an experimental setup using commodity sensors to validate the intelligent lighting system. From the experimental results, we have obtained 95% accuracy for vehicle classification and 20% energy-saving with 50 watts LED lighting system.

Street lighting systems are considered one of the most important pillars necessary for the infrastructure that must be provided in urban cities due to their positive impact on the lives of citizens. Street lighting provides comfort to citizens and makes them feel safe at night. Despite all these advantages, it brings a heavy burden on the energy consumption bill and has negative consequences for the environment. Modern technologies, such as wireless communications and the internet of things (IoT), have enabled the creation of smart street lighting systems that contribute to improving energy saving and preserving the environment compared to traditional systems. In this research, the performance and feasibility of a prototype smart street lighting system based on IoT and wireless communications were studied. This system was implemented and tested at a pilot site with the aim of enhancing energy performance and creating a smart infrastructure on the university campus. Street user data, captured by the passive infrared (PIR) sensor, is exchanged between lighting poles using the ESP-NOW protocol to create adaptive lighting. This ensures that the level of illumination by the LED luminaires around the user is greater than that behind them. The cloud server ThingSpeak was also utilized to collect and store the electrical variable data measured by this system. Additionally, images are captured and stored for street users. From the data obtained from the cloud server and energy measurements, the system has demonstrated its effectiveness in reducing energy consumption.

Introduction: This Literature Review article is the result of a research on the current situation of smart public lighting systems with light-emitting diode (LED) technology in cities around the world. Problem: How convenient is it to use smart public lighting system with LED luminaires? Objective: To review the context of smart public lighting with LED technology. Methodology: Within this project, a lit review was conducted with more than 50 academic articles found in different databases such as: IEEE Xplore, Scopus, ScienceDirect etc. The selection criteria of the information followed the revision of articles from 2006 to 2018, and also, took into account their installation and performance in different cities and places of the world. Furthermore, articles on polluting and inefficient technologies were excluded. Conclusion: Considering the current context in which LED smart public lighting is, it is more likely to be implemented in the future. Results: Smart LED street lighting systems are more efficient in energy use, leads to savings in costs in medium terms, and finally, present a lower environmental impact compared to conventional lighting systems. Limitations: The review focuses on energy efficiency and economic aspects, not on social aspects. Originality: Smart LED public lighting systems have been researched within the economic and energy efficiency context.

Intelligent Street Lights System based on LED lights is one of the most important concepts in today's life. As now a days world depends on the IoT technologies in different areas. Street lights system will be controlled through IoT technology. In the whole world, enormous energy is consumed by the street lights, which are turned ON automatically all the night. Thus, this will waste a huge energy of the country. The intelligent street light system will work in such a way to turn the LED lights ON when the vehicle is passing through it and when not the LED lights turned OFF. The primary aim of this research paper is to reduce the power energy consumption and cost of the street lights system.This paper presents the intelligent street lights system that is controlled through IOT technology, which is connecting to sensor device "Ultrasonic" and then to microcontroller device using Wi-Fi connectivity. In addition, it will use the cloud services and mobile application to present the information of the system for the system administrator.

The rapid development of urban areas has considerably increased energy spending, particularly in street lighting system. Traditional streetlight managing method often lack optimization, leading to inefficiencies and higher operational costs. This research proposes an Intelligent Streetlight Control System (ISCS) to enhance energy efficiency by with passion adjusting lighting based on real-time data. The system combines multiple data sources, including time, location, ambient light levels, traffic count, and energy consumption, to optimize explanation. Data pre-processing engross Min-Max scaling for normalization and Fast Fourier Transform (FFT) for feature extraction. The Energy Valley Optimizer (EVO) fine-tunes the Dynamic Elman Neural Network (DENN) to predict traffic flow and adjust street lighting accordingly. The system is executed using Python, and experimental results display that ISCS effectively decreases energy consumption by optimizing streetlight presentation in response to environmental conditions.The EVO-DENN model outperforms conventional control methods in both energy efficiency and prediction accuracy, proving its likelihood for large-scale urban deployment. Key performance metrics include an operational duration of 12 hours, a power rating of 140W, power consumption of 0.698W, daily unit consumption of 0.695W, and an energy savings rate of 43.25%. The findings indicate that integrating intelligent streetlight control enhances sustainability in urban infrastructure, providing a foundation for smarter, adaptive cities. By implementing AI-driven energy management, the proposed system contributes to cost reduction and environmental conservation, making it a significant step toward the development of intelligent urban ecosystems. Future research could focus on incorporating renewable energy sources and expanding the system’s adaptability to different urban environments worldwide.

Focusing on the design, architecture, and monitoring of Smart LED Street Lighting control, this paper investigates the use of a Cloud-Based Multi-agent System (CMAS) as a possible framework. The work centres upon previous developments by the authors in Close and Long Range Hybrid Pyroelectric Infrared (PIR) motion detection sensors. It also introduces the advances in radar type sensors that can be used in intelligent street lighting system control applications. The proposed sensor solutions can detect the traffic user (car or human) and determine its movement direction and approximate speed, which can be used both for dynamic lighting control algorithms, traffic intensity prediction, and increased city street safety. Furthermore, the street lighting system infrastructure can also monitor city environmental parameters like temperature, humidity, and CO2 levels, and many more, creating new services for smart cities.

Imagine you are traveling or stuck in the middle of a forest at night and there are no lights available, clearly because there is no electricity. Our software design model consists of a solar street light that absorbs sunlight during the daytime and uses it throughout the night. This design can be used for all sorts of areas without electricity and can be used only for remote areas where animal and human activity are less. The work models the automatic street lighting system with UML diagrams. The system manipulates the light intensity of the street lights with the help of sensors to detect humans passing through the street. Thus, the proposed model will help software developers to implement automatic street lighting system.