Iraklis Varlamis – författare

The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility.

Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS

Digital Twin Technology and Smart Grid explores the intersection of these technologies that are essential for the evolution of energy systems. The book explains how it utilizes intelligent wireless sensor networks, the Internet of Things, artificial intelligence, machine learning, cloud, edge, and fog-computing to monitor power consumption. It discusses how security risks and privacy challenges can be accommodated and explains the ethical/legal implications of collecting data. As the global energy landscape moves toward greater sustainability and decentralization, digital twins present unprecedented opportunities to enhance grid efficiency, bolster resilience, and support the integration of renewable energy sources.The integration of Digital Twin (DT) technology with Smart Grids (SG) represents a groundbreaking development in energy management, making this a highly significant and timely topic. As urban areas expand and energy demands rise, the need for more efficient, sustainable, and resilient energy systems becomes critical. DT technology, with its ability to create real-time, virtual replicas of physical systems, offers unprecedented opportunities for enhancing the performance, reliability, and security of smart grids.Explains how digital twins gather real-world data to create a model of a given situation of real micro grid/power gridsDiscusses how the model can be utilized in making informed decisionsConsiders the associated technologies that support digital twins: IoT, AI, ML, and blockchainExplores how digital twins can be used in the real-world to monitor and improve services of the micro grid/power grid

The papers cover a wide range of topics in the field of free/libre open source software (FLOSS) and are organized in the following thematic sections: organizational aspects of OSS projects, OSS projects validity, mining OSS data, OSS in public administration, OSS governance, and OSS reusability.

This book bridges the gap between digital innovation and sustainable development, offering a comprehensive guide to leveraging digital twin technology for smarter, greener buildings and infrastructure. By combining real-world case studies, cutting-edge research, and interdisciplinary insights, it demonstrates how virtual replicas of physical systems can optimize energy efficiency, reduce environmental footprints, and enhance urban resilience. From foundational concepts like Building Information Modelling (BIM) to advanced applications—such as blockchain-secured sustainability assessments and AI-driven occupancy monitoring—the book provides actionable strategies for designing, managing, and retrofitting eco-friendly structures.Unique chapters on prefabricated modular construction, industrial resource efficiency, and policy frameworks reveal how digital twins empower stakeholders to balance economic growth with environmental stewardship. With a focus on social equity, economic benefits, and global sustainability goals, this book equips policymakers, urban planners, and industry leaders to navigate regulatory landscapes and adopt scalable solutions. Edited by leading experts in data science, AI, and smart energy systems, and a multidisciplinary group of authors, this work combines research and practical experience, from exploring risk management in infrastructure to the societal impacts of digital twins.