The motor drive system plays a significant role in the safety and function of electric vehicles as a bridge for power transmission. In order to enhance the efficiency and stability of the drive system, more and more studies based on AI technology are devoted to the fault detection and diagnosis of the motor drive system.

AI Techniques in EV Motor and Inverter Fault Detection and Diagnosis comprehensively covers the recently-developed AI applications for solving condition monitoring and fault detection issues in EV electrical conversion systems. AI-based fault detection and diagnosis (FDD) is divided into two main steps: feature extraction and fault classification. The application of different signal processing methods in feature extraction is discussed. In particular, the application of traditional machine learning and deep learning algorithms for fault classification is presented in detail. In addition, the characteristics of all techniques reviewed are summarised.

Chapters systematically address condition monitoring and fault detection in EV motors and inverters. Four case studies are including, covering AI based electric motor fault diagnosis, AI based inverter/IGBT fault diagnosis, AI based bearing fault diagnosis, and AI based gearbox fault diagnosis. Alongside each case study, the authors discuss the differences between conventional methods and AI-based methods in EV applications, and the motivation, advantages, shortcomings and challenges of AI-based methods. Finally, the latest developments, research gaps and future challenges in fault monitoring and diagnosis of motor faults are explored.

Providing a systematic and thorough exploration of its field, this book is a valuable resource for researchers and students with an interest in the applications of AI in electric vehicles, and for engineers and research and development professionals in the electric automotive industry.

In a large and complex system, such as a railway network, it is often not an option to stop operation at any time. Even if a part of the system fails, is being repaired or modified, the system has to keep functioning. This leads to many requirements for on-line expansion, on-line maintenance, and fault-tolerance. Dynamic changes demand next-generation control, information and service systems to be based on adaptive, reliable and reusable technologies and applications. Such systems are expected to have the characteristics of living systems composed of largely autonomous and decentralized components. Hence they are called Autonomous Decentralized Systems (ADS). This work describes the concept, architecture and technologies of ADS and their applications in intelligent control, information and service systems, with a focus on transport. ADS is explained first using the example of the Japanese railway transport system; applications in other fields and countries follow. The goal is to describe the ADS concept and the technologies, applications and businesses on the basis of a consistent concept for achieving intelligent systems such as for manufacturing, transportation service, air traffic, robotic and distributed services.

Electric vehicles (EV), are being hailed as part of the solution to reducing urban air pollution and noise, and staving off climate change. Their success hinges on the availability and reliability of fast and efficient charging facilities, both stationary and in-motion. These in turn depend on appropriate integration with the grid, load and outage management, and on the mitigation of loads using renewable energy and storage. Charging management to preserve the battery will also play a key role. This book covers the latest in charging technology; stationary as well as wireless and in-motion. Grid integration, simulations, fast charging, and battery management are also addressed. The objective of this book is to provide readers with an in-depth knowledge about EV charging infrastructure, and grid integration issues and solutions. The book serves as a reference for researchers in academia and industry, covering almost every aspect of the charging and grid integration of EVs.

Technologies for traffic and travel information (TTI) have been evolving rapidly in recent years. This book offers an overview of three generations of TTI technology, beginning with the first generation of human to human information transmission. The second generation incorporated machine to human information exchange, with the development of classification and transmission protocols such as RDS-TMC and TPEG. A third generation of machine to machine communication is now emerging, disrupting TTI technology and creating the need for this new reference work, which covers gathering information from automated sensors, its digital processing and transmission, and its use by increasingly intelligent agents and vehicles. The book provides coverage of the following topics, written by a range of experts in their respective fields: road traffic data collection; road traffic news from the air; location referencing; digital coding, collation and exchange of traffic information; European developments in traffic and travel information; the role of the commercial sector in developing road traffic information in the UK and Europe; dynamic road traffic signage; smart motorway information development; contribution of cooperative ITS to road traffic and travel information; multi modal traffic and travel information; social media and traffic and travel information; social media services and business models; and finally traffic and travel information into the future. Providing essential information to researchers and industry professionals involved with or interested in technologies and organisations that provide or deliver travel information, this book could also be of interest to policymakers needing an overview of the evolution and recent developments of this field, and advanced students of subjects related to telecommunications with an interest in traffic information.

The role of data and information and communication technology (ICT) is growing in all areas of transport, with autonomous vehicles among the most advanced examples. This opens up opportunities for malevolent interference, such as remote-control of vehicles for criminal or terrorist purposes or interruption of increasingly interconnected transport systems. It is therefore imperative that cybersecurity is upgraded and designed into new systems.

Focusing on the management of security and the principles of security technologies in the context of transport systems, this book equips readers with an understanding of what management actions need to be taken and the sort of technologies available to defend against cyberattacks. To improve their decision making, managers need to understand how security practices and technologies work, so the book spans a range of areas: from regulations to security management, to the principles of selected technologies.

Cybersecurity in Transport Systems provides insights across multiple modes of transport, including insight from seasoned practitioners. It also addresses advances and themes in current research and the future outlook as we move to increasing digital transformation.

The book is aimed at managers in the transport sector but is widely applicable to other sectors, especially those that are safety critical. Much of the book will be useful to students considering careers in industries that rely on information technology, and to researchers in academia and industry.

Driving Simulators for the Evaluation of Human-Machine Interfaces in Assisted and Automated Vehicles is a concise reference work on driving simulators, which conveys the technology behind simulator systems used to test driver assistance systems and automated vehicles, including electric vehicles. Coverage includes architecture, computer graphics, evaluation parameters and applied examples. A driving simulator is a device that has the function of presenting similar visual, auditory and force perceptions to those experienced during driving, creating the illusion that the driver is driving an actual car. The advantage of tests using a driving simulator is that it can reproduce dangerous traffic situations and tests safely. Driving simulators are also valuable in research and development into intelligent driving systems, allowing for testing and evaluation in a simulation environment rather than on the road. With its concise selection of relevant material and applied focus, this book will be of use to research and development professionals in industry and academic researchers whose work involves automotive systems and technologies in general, and particularly those working on driving simulators and automated driving.

Electric and hybrid vehicles have been globally identified to be the most environmental friendly road transportation. Energy Systems for Electric and Hybrid Vehicles provides comprehensive coverage of the three main energy system technologies of these vehicles - energy sources, battery charging and vehicle-to-grid systems. The book begins with a discussion of energy source systems, covering electrochemical energy sources, flywheel energy storage, hybrid energy sources, solar energy harvesting, electromagnetic energy regeneration and thermoelectric energy recovery. Then battery technologies are covered, including battery charging strategies and battery management techniques, emerging wireless charging techniques for electric vehicles and the concept of energy cryptography for secure wireless power transfer. Finally vehicle-to-X technology is discussed, embracing the vehicle-to-home, vehicle-to-vehicle and vehicle-to-grid energy systems, for electric and hybrid vehicles. Combining insights from an international team of authors, this book is essential reading for researchers and advanced students developing electric/hybrid vehicles and intelligent transport systems in industry and academia.

Given the volumes of global ship traffic, solutions are needed to reduce waiting times, costs, energy consumption and emissions. This systematic reference on ICT solutions and digitalisation in the ports and shipping sector covers new and existing technologies, different types of digital systems, and offers illustrative examples and case studies. Coverage includes the following topics: the global trade facilitation regulatory framework and the role of ICT; maritime ports and cybersecurity; e-navigation and shore-based monitoring systems; maritime transportation along the Northern Sea Route; smart shipping beyond e-navigation; maritime communications; emerging radiocommunication technologies in the maritime domain; a data-driven methodology for maritime patterns of life discovery; real-time information with ITS technology; digital supply chain and port information modelling (PIM); ICT innovation in port-hinterland transport services; decarbonisation technologies in shipping and the question of transition fuels; and finally the advent of shore-based navigation: from vessel traffic services (VTS) to e-navigation maritime service portfolio (MSP). The aim of this work is to examine the application of ICT solutions and digitalisation to the movement and clearance of freight at seaports globally. It provides conceptual clarity on the applicability of the different technologies and systems used for this purpose, and the relevance of such projects for different types of ports, from a trade facilitation perspective. It is therefore of particular relevance to researchers, academics, consultants, chief technology officers, and advanced students in the field of freight and logistics, especially in a maritime context. The book is also a valuable reference for anyone involved in port logistics in a managerial or operational capacity, and to port authorities.

The global economy requires globalized movement of goods. Freight transport operations need to be efficient, productive, safe and secure, clean and green. The use of ICT and ITS (intelligent transport systems) are addressing these challenges by developing more rapid, more reliable and more precisely timed strategies for freight transport.

This book reviews recent developments in the field of ITS for freight logistics, covering relevant technologies, applications, approaches and standards. Chapters address the following topics: introduction to mobility of goods and freight logistics; global logistics visibility; global logistics standards development for using on marine container terminals; supply chain and RFID technologies; international data exchange solutions for transport and logistics; city logistics; the UK freight and logistics sector; implementation and application; and logistics IoT in Thailand.

Written by an international team of contributors, and edited by an expert in the field, this book is aimed at students and researchers in ITS and ICT for transport applications, policy makers and practitioners such as system architects, system engineers, and managers in the freight transport industry, and anyone involved in the design, developments and implementation of new ICT and ITS technologies in the freight sector.

Robotic marine vessels can be used for a wide range of purposes, including defence, marine science, offshore energy and hydrographic surveys, and environmental surveys and protection. Such vessels need to meet a variety of criteria: they must be able to operate in salt water, and to communicate and be controlled over large distances, even when submerged or in inclement weather. Further challenges include 3D navigation of individual vehicles, groups or squadrons. This book covers the current state of research in navigation, modelling and control of marine autonomous vehicles, and deals with various related topics, including collision avoidance, communication, and a range of applications. It provides valuable insights for an audience of researchers, academics and postgraduate students interested in autonomous marine vessels, robotics, and electrical and automobile engineering.