Smart Transport For Cities And Nations

As smart cities are rapidly developing, it is vital that they are built on a combination of support and active participation of self-decisive, independent, and aware citizens by ensuring strong human capital, social capital, and information and communications technology infrastructure. Due to this evolution across the globe, it is critical to examine how others are working to create smarter cities in order to learn and revolutionize the way cities are planned and executed. Planning and Designing Smart Cities in Developing Nations explores smart city implementation in developing countries by highlighting the challenges and opportunities of smart cities and showcasing various developments and accomplishments and presents a framework to implement strategic plans for smart development. Covering topics such as smart technologies and social capital, it is ideal for policymakers, economic and development professionals, city planners and designers, government officials, academicians, professors, and students.

The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.

This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2015, and the 1st International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2015, held in Lisbon, Portugal, in May 2015. The 15 full papers of SMARTGREENS 2015 presented were carefully reviewed and selected from 73 submissions. VEHITS 2015 received 27 paper submissions from which 3 papers were selected and published in this book. The papers reflect topics such as smart cities, energy-aware systems and technologies, sustainable computing and communications, sustainable transportation and smart mobility.

This book presents a timely description of currently used and proposed technologies that involve the intelligent transport system to assist the manager of large cities. Therefore, it describes all concepts and technologies that address the challenges, bringing up a top-down approach, which begins from the vehicular network and central infrastructure to a distributed structure. For scientists and researchers, this book will bring together the state-of-the-art of the main techniques that involve intelligent transport systems to assist the manager of big cities. For practitioners and professionals, this book will describe techniques which can be put into practice and use to aid the development of new applications and services. Concerning postgraduate students, this book will provide highlights of main concerns and concepts and explain techniques that can assist students to identify challenges that they can explore, contribute to, and advance the current status of technology.

​This book includes extended and revised selected papers from the 10th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2021, and 7th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2021, held as virtual event, in April 28–30, 2021. The conference was held virtually due to the COVID-19 crisis. The 22 full papers included in this book were carefully reviewed and selected from 140 submissions. The papers present research on advances and applications in the fields of smart cities, electric vehicles, sustainable computing and communications, energy aware systems and technologies, intelligent vehicle technologies, intelligent transport systems and infrastructure, connected vehicles.

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

This text discusses smart grid technologies including home energy management systems, demand management systems, source-side management systems and communication technologies for power supply management, and supervisory control and data acquisition. It further covers applications of rooftop solar PV panels, rooftop solar heating systems, solar streetlights, solar traffic signal systems, and electrical demand management for smart cities. This book: · Includes design and implementation of intelligent and smart techniques using artificial intelligence, the Internet of Things, and machine learning for the development of smart cities. · Covers important topics including smart grid power supply, energy management, smart transport system, smart buildings, and traffic management. · Provides smart solutions for waste management, traffic, parking, energy, and health care system. · Highlights renewable energy applications including rooftop solar PV panels, rooftop solar heating systems, solar traffic signal systems, and electrical demand management. · Presents MATLAB-based simulations and results for smart cities solutions. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, civil engineering, and environmental engineering.