This book systematically discusses the development of autonomous driving, describing the related history, technological advances, infrastructure, social impacts, international competition, China's opportunities and challenges, and possible future scenarios. This popular science book uses straightforward language and includes quotes from ancient Chinese poems to enhance the reading experience. The discussions are supplemented by theoretical elaborations, presented in tables and figures. The book is intended for auto fans, upper undergraduate and graduate students in the field of automotive engineering.

This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as security, and network selection. Machine learning based methods are applied to solve these issues. This book also includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues. This book will also help readers understand how to use machine learning to address the security and communication challenges in VANETs. Vehicular ad-hoc networks (VANETs) support vehicle-to-vehicle communications and vehicle-to-infrastructure communications to improve the transmission security, help build unmanned-driving, and support booming applications of onboard units (OBUs). The high mobility of OBUs and the large-scale dynamic network with fixed roadside units (RSUs) make the VANET vulnerable to jamming. The anti-jamming communication of VANETs can be significantly improved by using unmanned aerial vehicles (UAVs) to relay the OBU message. UAVs help relay the OBU message to improve the signal-to-interference-plus-noise-ratio of the OBU signals, and thus reduce the bit-error-rate of the OBU message, especially if the serving RSUs are blocked by jammers and/or interference, which is also demonstrated in this book. This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues.

Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations. Despite their importance, no previous textbook has accessibly introduced UAVs to students in the engineering, computer, and science disciplines--until now. "Small Unmanned Aircraft" provides a concise but comprehensive description of the key concepts and technologies underlying the dynamics, control, and guidance of fixed-wing unmanned aircraft, and enables all students with an introductory-level background in controls or robotics to enter this exciting and important area.

The authors explore the essential underlying physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning. The textbook leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. To facilitate understanding, the authors have replaced traditional homework assignments with a simulation project using the MATLAB/Simulink environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms. The final chapter of the book focuses on UAV guidance using machine vision.

Designed for advanced undergraduate or graduate students in engineering or the sciences, this book offers a bridge to the aerodynamics and control of UAV flight.

Seventy percent of the planet is covered by water, and ninety percent of global economic trade is transported by sea. The oceans are inextricably linked with food security and the global economy. Technology and the Blue Economy examines the vital role that technology plays in developing the blue economy. It provides a clear, accessible picture of the current and future potential of technology within different sectors in the blue economy, such as offshore energy, ports and harbours, shipping, maritime surveillance and cyber security.

Technology and the Blue Economy looks at the disruption of established business models through case studies of leading innovators, examining development issues, what they have learned and how they have transformed their current ways of working within their organizations. Along with actionable takeaways at the end of each section, readers will learn from and be inspired by the front-line experiences of Blue Economy innovators.

This book constitutes the proceedings of the First International Conference on Intelligent Transport Systems, INTSYS 2107, which was held in Helsinki, Finland, in November 2017. The 30 revised full papers were selected from 47 submissions and are organized in 6 thematic sessions on planning and sustainable transport and smart cities, intelligent rail transport systems, transport modelling and simulation & big data application, ITS safety and security, cooperative ITS and autonomous driving, and intelligent traffic management.

Steffen Heinrich describes a motion planning system for automated vehicles. The planning method is universally applicable to on-road scenarios and does not depend on a high-level maneuver selection automation for driving strategy guidance. The author presents a planning framework using graphics processing units (GPUs) for task parallelization. A method is introduced that solely uses a small set of rules and heuristics to generate driving strategies. It was possible to show that GPUs serve as an excellent enabler for real-time applications of trajectory planning methods. Like humans, computer-controlled vehicles have to be fully aware of their surroundings. Therefore, a contribution that maximizes scene knowledge through smart vehicle positioning is evaluated. A post-processing method for stochastic trajectory validation supports the search for longer-term trajectories which take ego-motion uncertainty into account. About the Author Steffen Heinrich has a strong background in robotics and artificial intelligence. Since 2009 he has been developing algorithms and software components for self-driving systems in research facilities and for automakers in Germany and the US.

This book presents cutting-edge theories, techniques, and methodologies in the multidisciplinary field of high-speed railways, sharing the revealing insights of elite scholars from China, the UK and Japan. It demonstrates the achievements that have been made regarding high-speed rail technologies in China from all aspects, while also providing a macro-level comparative study of related technologies in different countries. The book offers a valuable resource for researchers, engineers, industrial practitioners, graduate students, and professionals in the fields of Vehicles, Traction Power Supplies, Materials, and Infrastructure.

This collection of chapters on the latest methods and tools for applied research in aviation psychology guides the diverse range of professionals working within aviation on how to adapt flexibly to the continuously evolving requirements of the aeronautical landscape. Experts from the industry and academia explore selected applications, ranging from aviation system engineering to bridging the gap between research and industrialization, safety culture, training and examination. Psychological tools are explored, including designing biocybernetic adaptive systems, predictive automation, and support for designing the human role in future human-machine teaming concepts. Special chapters are dedicated to spatial disorientation, reactivity, stress, eye-tracking, electrodermal and cardiac assessment under the influence of G forces. This is essential reading for aviation psychologists, human factors practitioners, engineers, designers, operational specialists, students and researchers in academia, industry, and government. The practitioners and researchers working in other safety critical domains (e.g., medicine, automotive) will also find the handbook valuable.

This book constitutes the proceedings of the 13th International Workshop on Communication Technologies for Vehicles, Nets4Cars/Nets4Trains/Nets4Aircraft 2018, held in Madrid, Spain, in May 2018. The 17 full papers presented together with 2 demo papers in this volume were carefully reviewed and selected from numerous submissions. The volume features contributions in the theory or practice of intelligent transportation systems (ITS) and communication technologies for: - Vehicles on road: e.g. cars, tracks and buses; - Air: e.g. aircraft and unmanned aerial vehicles; and - Rail: e.g. trains, metros and trams.

The asymptotic limit theorems of control and information theories make it possible to explore the dynamics of collapse likely to afflict large-scale systems of autonomous ground vehicles that communicate with each other and with an embedding intelligent roadway. Any vehicle/road system is inherently unstable in the control theory sense as a consequence of the basic irregularities of the traffic stream, the road network, and their interactions, placing it in the realm of the Data Rate Theorem that mandates a minimum necessary rate of control information for stability. It appears that large-scale V2V/V2I systems will experience correspondingly large-scale failures analogous to the vast, propagating fronts of power network blackouts, and possibly less benign but more subtle patterns of individual vehicle, platoon, and mesoscale dysfunction. The central matter is the synergism between poorly-understood traffic flow dynamics and similarly cryptic multisource information network dynamics, leading to highly punctuated phase transition analogs.

Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.

Rapid changes are underway in mobility systems worldwide, including the introduction of shared mobility solutions, Mobility as a Service and the testing of automated vehicles. These changes are driven by the development and application of 'smart' technologies. Transition to these technologies present significant opportunities for countries, cities and rural areas alike, offering the tempting prospect of economic benefit whilst resolving today's safety, congestion, and pollution problems. Yet while there is a wealth of research considering how these new technologies may impact on travel behaviour, improve safety and help the environment, there is a dearth of research exploring the key governance questions that the transition to these technologies pose in their disruption of the status quo, and changes to governance that may be required for the achievement of positive social outcomes. This book aims to step into this void and in doing so presents an agenda for future research and policy action. Bringing together a collection of internationally recognised scholars, drawing on case studies from around the world, authors critically reflect on three primary governance considerations. First, the changing role of the state both during and post-transition. Second, identifying the voices shaping the smart mobility discourse. And third, analysing the implications for the state's capacity to steer networks and outcomes as a result of these transitions. The authors argue that at present there exists a critical window of opportunity for researchers and practitioners to shape transitions and that this opportunity must be seized upon before it is too late.

This book provides an overview of the key transportation management processes from a shipper's perspective. It enables managers to gain quick insight in the added value of transportation as a strategic differentiator, its key drivers, and guidelines on how to use them in an effective and efficient decision-making process. It explains how to identify and eliminate waste using basic Lean tools and proven concepts. The reader is guided on how to start implementing the Lean methodology and best practices in the industry to realize significant savings. Companies such as Adidas and Amazon are using transportation to increase sales by delivering purchased products faster than the competition. These companies do not treat transportation as a cost center. They are not focusing on reducing transportation spending. They allow customers to buy any product that is available in any store or warehouse and have it delivered to their homes. By delivering faster than the competition, they increase sales. At the same time, they lower their total supply chain costs as faster deliveries lead to fewer returns. Reduction of returns means higher sales and lower transportation costs for returns. The result is higher profits while creating more value for the customer. Transportation is moving from a cost center towards a profit center. The traditional logistics service providers are perceived to not innovate fast enough. Top management must understand the transportation management basics and use it in their strategic decision-making. They should be involved in discussions on how to organize the transport management function in the best way and how to use it as a service differentiator. Transportation is more than the efficient movement of supplies, sub-assemblies and final products. In addition, it is more than the key performance indicators on the business-balanced scorecard. Transportation management professionals fail to catch top management's attention due to the use of technical language. It is more difficult to understand transportation key performance indicators such as loading degree, net and gross pick-up and delivery reliability. It is easier to get top management attention when talking about lost sales due to stock-outs, lost tenders due to long delivery times, high inventory holding and scrap costs.

This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.

From the past decade vehicular ad hoc networks got tremendous attention from the industry, academia and research community. According to US National Highway Traffic Safety Administration (NHTSA), there are more than 30 thousands fatalities caused by the vehicle accidents in the U.S. each year, which worth around $250 billion economic cost annually. Research shows that 82% of these accidents can be reduced by the successful deployment of vehicular networks, because nearly 75% percent of vehicular crashes are caused by inattentive drivers. Literally, vehicular ad hoc networks means a network forms by the vehicles. But it has been evolved to network with the infrastructure as well due to the inherent intermittent nature of vehicle-to-vehicle (V2V) connection. The high mobility of vehicles, wireless communication loss and range constraints are the main reason for this intermittent V2V connection. So, now vehicular networks means communication between vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). There are billions of dollars invested to research, deployment and testing of vehicular networks. For the emerging connected and autonomous vehicle (CAV), a stable vehicular networks is the foremost requirement. It is now very much visible that CAV will be the future of Intelligent Transportation System (ITS). The book is dedicated to discuss for the techniques, applications and relevant technologies of vehicular ad hoc networks and its challenges. The first chapter discuss about the routing protocols of vehicular networks. It focuses on different position-based routing protocols and their mechanisms for the successful use of vehicular networks for different applications. The second chapter discusses on the security and privacy issues on vehicular networks. A well-known security technique called Elliptic Curve Cryptography (ECC) is discussed to secure vehicular data from various tampering attacks. The third chapter discusses on the on-demand wireless broadcasting mechanism for improving data dissemination performance in terms of data delivery ratio and response time. A network-coding based approach has been investigated for improving the overall performance of existing classical data broadcast algorithms. The fourth chapter describes how to get a dependable system in the lossy communication medium. This chapter discusses on a number of fault diagnosis techniques, their strengths and weaknesses, and it reviews their implementations in mobile wireless networks. The fifth chapter discusses the basics of Blockchain technology, applications, research challenges and opportunities in the field. Finally, chapter six discuss about the identification and mitigation of the faulty nodes in the wireless network.

_______________ 'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime. Who would you rather determined your fate - a human or an algorithm? An algorithm is more consistent and less prone to error of judgement. Yet a human can look you in the eye before passing sentence. Welcome to the age of the algorithm, the story of a not-too-distant future where machines rule supreme, making important decisions - in healthcare, transport, finance, security, what we watch, where we go even who we send to prison. So how much should we rely on them? What kind of future do we want? Hannah Fry takes us on a tour of the good, the bad and the downright ugly of the algorithms that surround us. In Hello World she lifts the lid on their inner workings, demonstrates their power, exposes their limitations, and examines whether they really are an improvement on the humans they are replacing. A BBC RADIO 4: BOOK OF THE WEEK SHORTLISTED FOR THE 2018 BAILLIE GIFFORD PRIZE AND 2018 ROYAL SOCIETY SCIENCE BOOK PRIZE

This book presents selected papers from the Third International Workshop on Vehicular Ad-hoc Networks for Smart Cities, Paris, 2019. Future smart cities are well placed to profit from extraordinary mobile infrastructures. IWVSC'2019 brings together experts from both academia and industry to discuss recent developments in vehicular networking technologies and their interaction with future smart cities in order to promote further research activities and challenges.

With this essential guide to vehicular networking, you will learn about everything from conceptual approaches and state-of-the-art protocols, to system designs and their evaluation. Covering both in- and inter-vehicle communication, this comprehensive work outlines the foundations of vehicular networking as well as demonstrating its commercial applications, from improved vehicle performance, to entertainment, and traffic information systems. All of this is supported by in-depth case studies and detailed information on proposed protocols and solutions for access technologies and information dissemination, as well as topics on rulemaking, regulations, and standardization. Importantly, for a field which is attracting increasing commercial interest, you will learn about the future trends of this technology, its problems, and solutions to overcome them. Whether you are a student, a communications professional or a researcher, this is an invaluable resource.

A comprehensive manual that examines the systems available for data capture and photogrammetic processing, and provides an opportunity for readers to apply photo-interpretation, reconnaissance and photomapping techniques to many planning, resource harvesting, pollution prevention, civil engineering, disaster mitigation and containment requirements. Included within the 12 chapters are the principles of digital systems, digital aerial photography, cameras, survey-camera mountings, survey navigation, GPS and (d)GPS systems. In addition there is sound coverage of soft-copy photogrammetry, gorund survey control and a final chapter devoted to typical digital air surveys worldwide.

New transportation technologies can expand our world. During the last century, motorised modes increased our mobility by an order of magnitude, providing large benefits, but also imposing huge costs on individuals and communities. Faster and more expensive modes were favoured over those that are more affordable, efficient, and healthy. As new transportation innovations become available, from e-scooters to autonomous cars, how do we make decisions that benefit our communities? In New Mobilities: Smart Planning for Emerging Transportation Technologies, transportation expert Todd Litman examines 12 emerging transportation modes and services that are likely to significantly affect our lives: bike- and carsharing, micro-mobilities, ride hailing and micro-transit, public transit innovations, telework, autonomous and electric vehicles, air taxis, mobility prioritisation, and logistics management. These innovations allow people to scoot, ride, and fly like never before, but can also impose significant costs on users and communities. Planners need detailed information on their potential benefits and impacts to make informed choices. Litman critically evaluates these new technologies and services and provides practical guidance for optimising them. He systematically examines how each New Mobility is likely to affect travel activity (how and how much people travel); consumer costs and affordability; roadway infrastructure design and costs; parking demand; land use development patterns; public safety and health; energy and pollution emissions; and economic opportunity and fairness. Public policies around New Mobilities can either help create heaven, a well-planned transportation system that uses new technologies intelligently, or hell, a poorly planned transportation system that is overwhelmed by conflicting and costly, unhealthy, and inequitable modes. His expert analysis will help planners, local policymakers, and concerned citizens to make informed choices about the New Mobility revolution.

This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order.Besides the fundamental knowledge and concepts of intelligent vehicle's perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution. These case studies of real-life applications will help motivate students to learn this exciting subject. With concise and simple explanations, and boasting a rich set of graphical illustrations, the book is an invaluable source for both undergraduate and postgraduate courses, on artificial intelligence, intelligent vehicle, and robotics, which are offered in automotive engineering, computer engineering, electronic engineering, and mechanical engineering. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of artificial self-intelligence for intelligent vehicles of the future.Related Link(s)

For the first time in half a century, real transformative innovations are coming to our world of passenger transportation. The convergence of new shared mobility services with automated and electric vehicles promises to significantly reshape our lives and communities for the better--or for the worse. The dream scenario could bring huge public and private benefits, including more transportation choices, greater affordability and accessibility, and healthier, more livable cities, along with reduced greenhouse gas emissions. The nightmare scenario could bring more urban sprawl, energy use, greenhouse gas emissions, and unhealthy cities and individuals. In Three Revolutions, transportation expert Dan Sperling, along with seven other leaders in the field, share research-based insights on potential public benefits and impacts of the three transportation revolutions. They describe innovative ideas and partnerships, and explore the role government policy can play in steering the new transportation paradigm toward the public interest--toward our dream scenario of social equity, environmental sustainability, and urban livability. Many factors will influence these revolutions--including the willingness of travelers to share rides and eschew car ownership; continuing reductions in battery, fuel cell, and automation costs; and the adaptiveness of companies. But one of the most important factors is policy. Three Revolutions offers policy recommendations and provides insight and knowledge that could lead to wiser choices by all. With this book, Sperling and his collaborators hope to steer these revolutions toward the public interest and a better quality of life for everyone.

Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.