Optimization Models for Rail Car Fleet Management represents the result of multi-year efforts to provide readers with insights into one of the most important areas of railway transport management. The book covers mathematical procedures for the effective and efficient utilization of railway freight cars, developed models for optimization methods, heterogeneity and partial substitutability of freight cars, research and development in rail freight car fleet management models, and the stochastic and dynamic nature of the supply, demand and traveling time of freight cars, among other topics.

A world-recognized expert in the science of vehicle dynamics, Dr. Thomas Gillespie has created an ideal reference book that has been used by engineers for 30 years, ranging from an introduction to the subject at the university level to a common sight on the desks of engineers throughout the world. As with the original printing, Fundamentals of Vehicle Dynamics, Revised Edition, strives to find a middle ground by balancing the need to provide detailed conceptual explanations of the engineering principles involved in the dynamics of ground vehicles with equations and example problems that clearly and concisely demonstrate how to apply such principles. A study of this book will ensure that the reader comes away with a solid foundation and is prepared to discuss the subject in detail. Ideal as much for a first course in vehicle dynamics as it is a professional reference, Fundamentals of Vehicle Dynamics, Revised Edition, maintains the tradition of the original by being easy to read and while receiving updates throughout in the form of modernized graphics and improved readability.

Shared vehicles are a key part of any future intelligent and clean transport system, as they can allow for the sharing and potentially more efficient use of transport resources and fuel. Shared mobility has been gaining attention in the private and public sectors as a possible strategy for taming auto ownership, vehicle miles/kilometers travelled, and emissions. Serving as a source of information on how best to shape shared vehicle systems of the future, this book contributes knowledge on key facets of shared mobility. It includes shared vehicle systems as well as shared automated vehicle systems. Themes covered in the book include policy and regulatory frameworks, planning, design, technology, demand and supply models, algorithms, operations, management, economic factors, business models, social equity, environmental impacts, and pandemic effects. Shared Mobility and Automated Vehicles: Responding to socio-technical changes and pandemics comprehensively and systematically covers this important topic for an audience of researchers in academia and research institutes involved with intelligent transport systems and urban mobility. The book is also a valuable resource for public policy analysts, planners, system designers, system level technology developers, consultants, and students.

Growth in urbanisation, particularly in emerging economies, is causing increased traffic congestion and affecting environmental conditions in cities. Cities need to manage this growth in traffic in an efficient way. Intelligent infrastructure for traffic monitoring and sensing offers a potential solution, and so this book explores the prospective role of this approach in managing congestion, the established and emerging related technologies, and routes to effective implementation. Intelligent infrastructure will also play an important role in the future automation of vehicles. Onboard sensor technology is well-established, but higher levels of vehicle automation are difficult to achieve without additional sensing technology on the infrastructure side. Thanks to recent advances in device and software technology, new and innovative approaches to intelligent sensing infrastructure, both fixed and onboard, can be implemented. The development and deployment of automated vehicles is a hot topic, with early versions potentially entering the market within 5-8 years, so as an overview of developments in the field this book is timely and relevant. The book systematically covers the key elements of intelligent infrastructure. It begins with the architectures and projects in key regions, and then continues with coverage of novel technologies for vehicle, bicycle and pedestrian detection using different kinds of recognition technology. The third part describes technology for detecting traffic conditions such as incidents, illegal parking and adverse weather. Smart Sensing for Traffic Monitoring offers methodically presented information for researchers, practitioners, and advanced students with an interest in the technologies behind intelligent infrastructure and traffic monitoring.

Human-Machine Interaction for Automated Vehicles: Driver Status Monitoring and the Takeover Process explains how to design an intelligent human-machine interface by characterising driver behaviour before and during the take-over process. Multiple solutions are presented to accommodate different sensing technologies, driving environments, and driving styles. Depending on the availability and location of the camera, the recognition of driving and non-driving tasks can be based on eye gaze, head movement, hand gesture, or a combination of them, and this book addresses all possibilities.Technical solutions to recognise drivers' various behaviours in adaptive automated driving are described with associated implications to the driving quality. Cutting edge insights to improve the human-machine-interface design for safety and driving efficiency are also provided, based on the use of this sensing capability to measure drivers' cognition capability.

Electro hydraulic Control Theory and Its Applications under Extreme Environment not only presents an overview on the topic, but also delves into the fundamental mathematic models of electro hydraulic control and the application of key hydraulic components under extreme environments. The book contains chapters on hydraulic system design, including thermal analysis on hydraulic power systems in aircraft, power matching designs of hydraulic rudder, and flow matching control of asymmetric valves and cylinders. With additional coverage on new devices, experiments and application technologies, this book is an ideal reference on the research and development of significant equipment.

Smart Cities Cybersecurity and Privacy examines the latest research developments and their outcomes for safe, secure, and trusting smart cities residents. Smart cities improve the quality of life of citizens in their energy and water usage, healthcare, environmental impact, transportation needs, and many other critical city services. Recent advances in hardware and software, have fueled the rapid growth and deployment of ubiquitous connectivity between a city's physical and cyber components. This connectivity however also opens up many security vulnerabilities that must be mitigated. Smart Cities Cybersecurity and Privacy helps researchers, engineers, and city planners develop adaptive, robust, scalable, and reliable security and privacy smart city applications that can mitigate the negative implications associated with cyber-attacks and potential privacy invasion. It provides insights into networking and security architectures, designs, and models for the secure operation of smart city applications.

Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more.

Because trainees need to learn about the underlying technologies to use automation safely and efficiently, the development of automated aviation systems training is a growing challenge. Task analysis has been singled out as the basis of the training, but it can be more time-consuming than traditional development techniques. Cases on Modern Computer Systems in Aviation is an essential reference source that covers new information technology use in aviation systems to streamline the cybersecurity, decision-making, planning, and design processes within the aviation industry. Featuring coverage on a broad range of topics such as computer systems in aviation, artificial intelligence, software-defined networking (SDN), air navigation systems, decision support systems (DSS), and more, this publication is ideally designed for aviation specialists and industry professionals, technicians, practitioners, researchers, and academicians seeking current research on modern modeling approaches to streamline management in aviation.

Urban Mobility and the Smartphone: Transportation, Travel Behavior and Public Policy provides a global synthesis of the transformation of urban mobility by the smartphone, clarifying the definitions of new concepts and objects in mobility studies, accounting for the changes in transportation and travel behavior triggered by the spread of the smartphone, and discussing the implications of these changes for policy-making and research. Urban mobility is approached here as a system of actors: the perspectives of individual behavior (including lifestyles), the supply of mobility services (including actors, business models), and public policy-making are considered. The book is based on an extensive review of the academic literature as well as systematic observation of the development of smartphone-based mobility services around the world. In addition, case studies provide practical illustrations of the ongoing transformation of mobility services influenced by the dissemination of smartphones. The book not only consolidates existing research, but also picks up on weak signals that help researchers and practitioners anticipate future changes in urban mobility systems. Key Features * Synthesizes existing research into one reference, providing researchers and policy-makers with a clear and complete understanding of the changes triggered by the spread of the smartphone. * Analyzes numerous case studies throughout developed and developing countries providing practical illustrations of the influence of the smartphone on travel behavior, transportation systems, and policy-making. * Provides insights for researchers and practitioners looking to engage with the "smart cities" and "smart mobility" discourse.