Sociologists have suggested that being on the move entails a complex choreography, comprised of passenger comportment, signage, announcements and posters. Employing insights from mobility theory, Transporting moments provides an account of railway culture from a passenger’s perspective. The book uses the context of commuting in Sydney, at a time when elements of its intra-urban rail network were being upgraded as its principal case study. This upgrade covers its rolling stock, infrastructure and linguistic landscape. It is argued that understanding the rationale behind these changes requires an understanding of the historical and policy context in which the railways of Sydney’s, New South Wales and Australia are embedded. This is also the case with the nation’s long distance trains, whose operators have fought hard to stave off competition from airliners and cars. Transporting moments, therefore, presents strong case for preserving public transport as a more equitable and sustainable form of mobility. Governments, Australian or otherwise, can use these insights for productive investment in their rail networks and public transportation service in general, and for reducing the nation’s addiction to the automobile. With its invaluable insights into travelling on trains, Transporting moments is a fascinating addition to the growing corpus of literature on day-to-day mobility.

Mechatronics Series I: Intelligent Transportation Vehicles brings the latest advances and developments in intelligent vehicles to readers on the basis of their significance and quality. Wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field. This Ebook series includes key contributions presented by different researchers. These contributions represent a wide coverage of the state-of-the-art and the emerging research directions in intelligent transportation vehicles.

Railway is a form of public transport which serves the society, and its aim is to transport passengers and freight safely, rapidly, reliably, accurately and economically. With an implementation of railway great-leap-forward development, the realization of new-generation rail transport system- Railway Intelligent Transportation System (RITS), whose purpose is to ensure security, improve transport efficiency, elevate service quality and achieve the international standards, has become the inevitable development trend. Aiming to provide high security, high efficiency, and high quality service to the rail transport, for the first time the authors put forward the concept of " RITS ", and systematically discussed its connotation and substantive characteristics, structural model, development framework and core technology, developmental pattern etc; they deeply analyze the service framework, logical framework and physical framework of typical subsystem of RITS --- Intelligent Emergency Rescue and Safety System, and execute optimization design. The purpose of optimization design for RITS is to coordinate system target-oriented designs and realizations among various subsystems, making the entire work better, to achieve a system with best overall performance, the construction of RITS system in China. Combining years' research and practical experience in RITS, we proposed the "The Theory and Method of Design and Optimization for Railway Intelligent Transportation Systems (RITS) ", presenting it in the form of a book to meet the urgent needs of theory and methods of intelligent transport systems for railway transport. We hope that this book can play the role of throwing a brick to allure a gem, and accelerate further expansion research and application of RITS. The authors of the book engaged in research work of RITS and related fields for many years, successively undertaking and completing the key project of National Natural Science Foundation of "Research on Integrated Information System and Key technologies of High-speed Railway Intelligent Transportation", Ministry of Science and Technology research project "Railway Geographic Information System", "Research on Railway Intelligent Transportation System Standard System", "National Railway GIS Application Service Platform" and "Research on Development Strategy of Railway Intelligent Transportation System", Ministry of Railways research project" Railway Geographic Information System Design and Development", "Research and Development on Qinghai-Tibet Railway Emergency Rescue System and Emergency Rescue Command "Management Information System", "Research on the Railway Emergency Preplan Management" and "Research on Railway Intelligent Transportation System (RITS) Framework", China Postdoctoral Science Foundation-funded project" Research on RITS Framework Design and Optimization Method", faulitating the development of application systems, granting achievements in these projects . We sincerely express our gratitude to the National Natural Science Foundation of China, The Ministry of Science and Technology of China, and The Ministry of Railway of China for their financial support. We would also like to thank Dr. Li ping, Dr. Meng yan, Dr. Qinyong, Master Jia Tianli and Master Shao Yikun etc, for their valuable advice, selfless support and assistance for completion of the book. In the process of writing the book, we reviewed a large number of references, to seek clear concepts, using familiar examples to illustrate various theories and methods, which may enable various types of readers to have a clear understanding and knowledge of the optimized design of RITS. With the limitation of the authors' knowledge level and the depth as well as the breadth of research, there must be some irregularities of views, methods and theories in the book, which the readers may duly criticize. This book combines theories and applications closely, and is convenient for readers' self-study. The book is also adequate for colleagues engaged in work and research in the rail transportation field, as well as colleges and universities, graduate students and scientific researchers in interrelated fields.

Focusing on reducing emissions and improving fuel economy, automotive manufacturers are developing electric vehicles (EV) to replace fuel and diesel vehicles starting in 2030 onwards. The EVs, with their green power supplies maximize environmental benefits with zero emissions thereby lowering air pollution levels. There is now an increased demand for stable electric storage systems (ESS) that are part of the design of new electric vehicles. This timely reference gives an overview of modern electrical power systems applied in the current generation of electric vehicles which require an ESS, and how these can be utilized for simultaneous power and data communication. The book starts with an introduction to the topic, before giving a summary of the green power trend for the electric vehicle market. The book then delves into the theoretical and analytical framework required to understand adaptive compensation of the magnetic inductive system (ACMIS), based on zero voltage switch (ZVS). The chapters demonstrate how these systems are used for transmitting electric power from a single-end inverter combined with a compensated network of parallel to parallel (P-P) type and an auto-tuning impedance of LC tank. The book also covers the experimental method for a multifunctional contactless power flow of the G2V mode and bidirectional outer communication and inner communication with giant magnetoresistance (GMR) effect for car parking guidance. The experiment shows how to analyze data transferring performance including the current trimming method and how to evaluate data transmission quality according to the relevant parameters. Overall the book serves to familiarize automotive engineers and industry professionals involved in the electric vehicle market with the issues that surround wireless power charging and data transfer systems for electric vehicles, and introduces them to more coherent designs.

This e-book details state-of-the-art drive by wire technology. Readers are made aware about the challenges ahead that need be addressed in order for this technology to gain a foothold in the automotive industry. The eBook presents a systematic analysis of these issues and points out the fundamental reasons for the limited applications of these systems to date. It also discusses how recent technological advances in fault tolerant control can address these current challenges facing drive by wire application in automobiles. Non-technological issues such as consumer perception of drive by wire systems, trade-off analysis of drive by wire system from Automotive OEMs and suppliers’ perspective are also reviewed in this volume. This book will enhance current understanding of this technology amongst practicing automotive engineers and researchers alike.

Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing. Chapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles. Key Features: - Addresses data privacy, secure communication, and adaptive solutions in IoV - Explores federated learning applications in real-time IoV systems - Combines practical examples with theoretical foundations in IoV technology - Includes emerging research areas in IoV federated learning frameworks

Federated Learning for Internet of Vehicles: IoV Image Processing, Vision, and Intelligent Systems (Volume 3) explores how federated learning is revolutionizing the Internet of Vehicles (IoV) by enabling secure, decentralized, and scalable solutions. Combining theoretical insights with practical applications, this book addresses key challenges such as data privacy, heterogeneous information, and network latency in IoV systems. This volume offers cutting-edge strategies to build intelligent, resilient vehicular systems, from privacy-enhanced data collection to blockchain-based payments, smart transportation systems, and vehicle number plate recognition. It highlights how federated learning drives advancements in secure data sharing, identity-based authentication, and real-time road safety improvements. Key Features: - In-depth exploration of federated learning applications in IoV. - Solutions for privacy, security, and scalability challenges. - Practical examples of blockchain integration and smart systems. - Insights into future research directions for IoV.

Electric Vehicle Technologies: Trends, Control, and Charging Solutions explores the latest innovations transforming electric transportation. This concise and accessible volume presents advances in electric vehicle (EV) systems, focusing on solar energy integration, intelligent motor control, battery charging technologies, and IoT-based applications. The book is divided into three thematic sections. It begins with solar-powered charging systems and hardware design for sustainable mobility. It then covers power electronics and motor control methods, including BLDC control and adaptive charging frameworks. The final section addresses cutting-edge developments like vehicle-to-grid (V2G) systems and IoT-enabled EV automation. Key Features: - Advances in solar EV charging and wireless power transfer. - Control strategies for EV motors and battery charging. - Integration of IoT and autonomous systems in EVs. - Hardware designs for electric bicycles and solar charging stations. - V2G systems and adaptive power control.

Positioned at the intersection of intelligent transportation systems (ITS), computer vision, and machine learning, this book presents a comprehensive examination of how artificial intelligence and statistical techniques are reshaping traffic monitoring, management, and urban mobility in the era of smart cities. The book begins with the core principles of AI and traffic systems, introducing statistical modeling, data acquisition, and image processing for traffic analysis. Midway, it transitions into deep learning-powered applications such as object detection, vehicle tracking, congestion forecasting, and real-time incident recognition. Later sections address legal, regulatory, and ethical frameworks, while concluding chapters highlight IoT-enabled models and future trajectories in AI-powered traffic management. Key Features: Introduces principles of AI, machine learning, and statistical modeling for traffic systems Demonstrates applications of deep learning in congestion prediction, incident detection, and vehicle tracking Examines AI-driven traffic optimization, urban mobility solutions, and self-driving technologies Evaluates security, data privacy, and legal considerations in AI-based traffic surveillance Integrates AI with IoT frameworks for real-time monitoring in smart city infrastructure Highlights future directions and policy implications for sustainable and ethical traffic management.

6G Wireless Communications and Mobile Networking introduces the key technologies behind 6G wireless communication and mobile networking to the reader. The book starts with a general vision of 6G technology, which includes the motivation that drives 6G research, the international organizations working on 6G standardization and recent progress in 6G research. Separate chapters on millimeter-wave and terahertz-wave technologies in 6G, the development of latest 6G antenna technology as well as related wireless communication applications are included in the contents. The book also provides details about the 6G network layer, such as self-organizing network driven by network slicing, software-defined networking and network function virtualization. Finally, it covers some popular research topics, including the challenges and solutions to massive 6G IoT networks, 6G cloud/edge computing and big data systems that may appear in the foreseeable future. </p> Key Features: </p> - Provides a complete introduction to 6G vision and technology </p> - Consists of both basic theories and frontier technologies </p> - Separate chapters on key topics such as 6G physical layers, millimeter wave and terahertz technology and advanced antenna arrays </p> - Covers future trends and applications such as intelligent management systems, 6G IoT networks, cloud/edge computing and big data applications </p> This focused reference will significantly enhance the knowledge of engineering students and apprentices involved in the field of telecommunications. Readers interested in cutting-edge wireless networking technologies will also benefit from the information provided.