Proceedings ArticleDOI
Smart lighting: Intelligent and weather adaptive lighting in street lights using IOT
Asis Kumar Tripathy,Alekha Kumar Mishra,Tapan Kumar Das +2 more
- pp 1236-1239
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TLDR
The smart road light administration proposes the establishment of the remote based framework to remotely track and control the genuine vitality utilization of the road lights and take suitable vitality utilization decrease measures through power molding and control.Abstract:
A smart road lighting framework conforms to light yield in the view of use and inhabitance, i.e., computerizing grouping of pedestrians, cyclist, cars and public transports. The smart road light administration proposes the establishment of the remote based framework to remotely track and control the genuine vitality utilization of the road lights and take suitable vitality utilization decrease measures through power molding and control. The road light controller ought to be introduced on the shaft lights which comprise of microcontroller alongside different sensor and remote module. The road light controller introduced into the city light shaft will control LED road lighting relying upon the movement stream, convey information between every road light.read more
Citations
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Journal ArticleDOI
A Review of Machine Learning and IoT in Smart Transportation
TL;DR: A self-contained review of ML techniques and IoT applications in Intelligent Transportation Systems (ITS) and obtain a clear view of the trends in the aforementioned fields and spot possible coverage needs.
Journal ArticleDOI
Design, deployment and evolution of heterogeneous smart public lighting systems
TL;DR: A thorough discussion on network architectures and communication technologies that could be adopted for smart public lighting applications, showing their benefits and downsides and the benefits that would arise from integration with the upcoming 5G cellular network are provided.
Book ChapterDOI
Machine Learning for Internet of Things-Based Smart Transportation Networks
TL;DR: In this paper , the authors present a self-contained assessment of machine learning techniques and internet of things applications in intelligent transportation to provide a clear picture of the current state of circumstances and explain several features of smart transportation in greater depth.
Journal ArticleDOI
Moving towards smart transportation with machine learning and Internet of Things (IoT): a review
Ajay Kumar Dogra,Jagdeep Kaur +1 more
TL;DR: An overview of the IoT technology and application of the ML algorithms proposed by various authors is provided and the future researchers can identify the open issues and challenges and adopt various means to work beyond that.
Proceedings ArticleDOI
Smart Street Light Management System with Automatic Brightness Adjustment Using Bolt IoT Platform
TL;DR: In this paper, the authors presented a streetlamp control system based on the Bolt IoT platform and the aim of this project is conservation of energy by reducing electricity wastage and to minimize the manpower.
References
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Journal ArticleDOI
An Easy to Deploy Street Light Control System Based on Wireless Communication and LED Technology
Pilar Elejoste,Ignacio Angulo,Asier Perallos,Aitor Chertudi,Ignacio Julio García Zuazola,Asier Moreno,Leire Azpilicueta,José Javier Astrain,Francisco Falcone,Jesús Villadangos +9 more
TL;DR: An intelligent streetlight management system based on LED lamps, designed to facilitate its deployment in existing facilities, and providing tangible solutions to reduce energy consumption according to the contextual needs and reliable mechanisms for preventive maintenance of facilities.
Journal ArticleDOI
An energy efficient pedestrian aware Smart Street Lighting system
Reinhard Müllner,Andreas Riener +1 more
TL;DR: The SSL system is presented, a framework developed for a dynamic switching of street lamps based on pedestrians' locations and desired safety (or “fear”) zones, a first approach to accomplish the demand for flexible public lighting systems.
Journal ArticleDOI
Estimating Energy Savings in Smart Street Lighting by Using an Adaptive Control System
TL;DR: This paper proposes an intelligent street light control system based on adaptive behavior rules and evaluates the approach by using a simulator which combines wireless sensor networks and belief-desire-intention agents to enable a precise simulation of both the city infrastructure and the adaptive behavior that it implements.
Journal ArticleDOI
Smart Street Lighting Control and Monitoring System for Electrical Power Saving by Using VANET
TL;DR: A system that automatically switches off the light for the parts of the streets having no vehicles and turns on the light once there are some vehicles that are going to come is proposed, which may save a large amount of the electrical power and increase the lifetime of the lamps and reduce the pollutions.
Proceedings ArticleDOI
Towards smart street lighting system in Malaysia
TL;DR: Preliminary work towards the development of a complete smart street lighting system focusing on Malaysian environment is presented, found to save energy through the method of controlling the light intensity using Pulse Width Modulation (PWM) technique.