Unmanned air vehicles are becoming increasingly popular alternatives for private applications which include, but are not limited to, fire fighting, search and rescue, atmospheric data collection, and crop surveys, to name a few. Among these vehicles are avian-inspired, flapping-wing designs, which are safe to operate near humans and are required to carry payloads while achieving manoeuverability and agility in low speed flight. Conventional methods and tools fall short of achieving the desired performance metrics and requirements of such craft. Flight dynamics and system identification for modern feedback control provides an in-depth study of the difficulties associated with achieving controlled performance in flapping-wing, avian-inspired flight, and a new model paradigm is derived using analytical and experimental methods, with which a controls designer may then apply familiar tools. This title consists of eight chapters and covers flapping-wing aircraft and flight dynamics, before looking at nonlinear, multibody modelling as well as flight testing and instrumentation. Later chapters examine system identification from flight test data, feedback control and linearization.
Presents experimental flight data for validation and verification of modelled dynamics, thus illustrating the deficiencies and difficulties associated with modelling flapping-wing flightDerives a new flight dynamics model needed to model avian-inspired vehicles, based on nonlinear multibody dynamicsExtracts aerodynamic models of flapping flight from experimental flight data and system identification techniques

Smart cities are cities which use different types of electronic methods and sensors to collect data. The gathered information and data is then used to manage assets, resources and services efficiently to improve the operations across the city. This book provides a new insight for the current issues and opportunities in smart cities and related concepts in the next generation of urban evolution. The smart cities of tomorrow engage locals, visitors, governments and businesses in the intelligent, collaborative and connected ecosystem. To this end, the goal of this book is to provide better understanding of city services but also enhancing and evaluating the local and visitor experience and city decision-making processes by creating livable environments and business solutions. With international contributions from well-respected and international academics, it brings state-of-art knowledge on marketing management (and related areas e.g., urban studies) from a new modern perspective within the smart cities. Via academic research and international case studies, it discusses issues such as: * Smart tourists in smart cities * The evolution of the smart city * Smart trends in the tourism and hospitality industry * Smart sports in smart cities * Creating a smart tourist destinations * What does it mean for the locals - the smart city as a proposal to improve the quality of life of residents

Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. The book introduces how to design MDM platforms that adapt to the evolving mobility environment-and new types of transportation and users-based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This third volume looks at various cases studies to illustrate and explore the methods introduced in the first two volumes, covering topics such as Intelligent Transportation Management, Smart Emergency Management-detailing cases such as the Fukushima earthquake, Hurricane Katrina, and COVID-19-and Urban Sustainability Development, covering bicycle and railway travel behavior, mobility inequality, and road and light pollution inequality.

Smart Metro Station Systems: Data Science and Engineering introduces key technologies in data science and engineering for smart metro station systems. The book consists of three main parts, focusing on the environment, people and energy. Each chapter includes practical applications, along with information on metro traffic flow monitoring and passenger guidance, methods for behavior analysis and trajectory projection, clustering and anomaly detection in crowd hotspots, monitoring and prediction for station humidity, monitoring and spatial prediction for air pollutants, time series feature extraction and analysis of metro load, characteristic and correlation analysis of metro load, and prediction and intelligent ventilation control. This volume offers a key reference on the emerging area of smart metro stations and will be useful to those working on smart railways, data science, engineering, artificial intelligence and aligned fields.

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.

Robot Systems for Rail Transit Applications presents the latest advances in robotics and artificial intelligence for railway systems, giving foundational principles and running through special problems in robot systems for rail transit. State-of-the art research in robotics and railway systems is presented alongside a series of real-world examples. Eight chapters give definitions and characteristics of rail transit robot systems, describe assembly and collaborative robots in manufacturing, introduce automated guided vehicles and autonomous rail rapid transit, demonstrate inspection robots, cover trench robots, and explain unmanned aerial vehicles. This book offers an integrated and highly-practical way to approach robotics and artificial intelligence in rail-transit.

Air Route Networks through Complex Networks Theory connects theory research with network connectivity analysis, providing practitioners with the tools they need to develop more efficient, resilient and profitable air route networks. The book helps airline route planners and executives create more robust route networks that are less vulnerable to disruptions, such as node isolation. The book further explores errors and attacks in complex networks, strategies for detecting critical nodes and cascading failure models to assess and maximize robustness. The book explains how to measure air route network connectivity with complex network representations. Air transport is among the most dynamic and toughest competition industries in today's global economy. The quality of air route network design is a key strategic factor in an airline's viability. These robust networks provide for more stable and secure carrier operations vs. those based simply on existing supply and demand volumes. Node-specific and network-specific representations are covered, along with in-depth coverage of connectivity in special and temporal networks. These collective tools serve as a guide for practitioners seeking to apply complex network theory to the airline industry.

Unmanned Aerial Vehicle (UAV) has extended the freedom to operate and monitor the activities from remote locations. It has advantages of flying at low altitude, small size, high resolution, lightweight, and portability. UAV and artificial intelligence have started gaining attentions of academic and industrial research. UAV along with machine learning has immense scope in scientific research and has resulted in fast and reliable outputs. Deep learning-based UAV has helped in real time monitoring, data collection and processing, and prediction in the computer/wireless networks, smart cities, military, agriculture and mining. This book covers artificial techniques, pattern recognition, machine and deep learning - based methods and techniques applied to different real time applications of UAV. The main aim is to synthesize the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems and numerous application areas. This book is ideal for researchers, scientists, engineers and designers in academia and industry working in the fields of computer science, computer vision, pattern recognition, machine learning, imaging, feature engineering, UAV and sensing.

Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios.

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.

Long-term economic growth and increasing vehicle congestion is creating a greater demand for efficient and safe transportation. The high cost of maintaining and fixing pre-existing infrastructure is leading the industry to realize that sustainable long-term transportation planning is needed to keep pace with the growing economy. Building a Sustainable Transportation Infrastructure for Long-Term Economic Growth examines contemporary transportation issues through the lens of various modes of transportation while also focusing on the importance of sustainability, urban planning, and funding. The book covers the topics of sustainability and climate change, public management and planning, financing of transportation infrastructure, and revenue and spending issues facing modern transportation infrastructure. It is ideally designed for engineers, planners, government officials, transportation specialists, legislators, researchers, academicians, students, and industry professionals seeking current research on sustainable transport systems.

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.

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.

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.

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.

This book provides an overview of current topics in intelligent and green transportation on land, sea and in flight, with contributions from an international team of leading experts. A wide range of chapters discuss: the importance of Intelligent Transport Systems (ITS); ICT for intelligent public transport systems; ITS and freight transport; energy-efficient and real-time database management techniques for wireless sensor networks; proactive safety - cooperative collision warning for vehicles; electronic toll collection systems; business models and solutions for user-centered intelligent transport systems; digital infrastructures for increased safety, efficiency and environmental sustainability in shipping logistics; integrated visual information for maritime surveillance; automatic identification system (AIS) AIS signal radiolocation, tracking and verification; the impact of satellite AIS to the environmental challenges of modern shipping; how green is e-Navigation?; optimal ship operation: monitoring technology of ship overall heat balance; regulation of ship-source pollution through international convention regimes; foresight application for the transport sector; and trends in aeronautical air ground communications. This book is essential reading for researchers, developers and students of ITS and clean and smart mobility.

Cycling is an important part of the urban transport system and short-distance travel in many modern cities around the world. With no emissions and occupying much less road space than cars, bikes are clean and sustainable. Bicycle traffic needs to be tracked and analysed in order to generate reliable predictions and make correct decisions when adapting and building traffic infrastructure, to account for bikes in road traffic systems, and to model and plan interactions between bikes and autonomous vehicles. Offering a systematic analysis of the movements and behaviours of bicycles and their riders, this book discusses data collection and evaluation approaches, and the development of a framework for the theory and modelling of bike traffic followed by model verification techniques and riding characteristics for context. This book contains valuable information for researchers involved with intelligent transportation systems, traffic modelling and simulation, and particularly those with an especial interest in bicycle traffic. The book will also be of interest to advanced students in these and related fields, and transportation policymakers.

Radar is a key technology in the safety system of a modern vehicle. Automotive radars are the critical sensors in advanced driver-assistance systems, which are used in adaptive cruise control, collision avoidance, blind spot detection, lane change assistance, and parking assistance. The book covers all the modern radars used in automotive technology. A long-range radar mounted in the front of the vehicle is usually for adaptive cruise control. The medium range radars mounted in the front and rear provide wider coverage than the long-range radars and they can be used for cross traffic alert and lane change assistance. The corner mounted short range radars support parking aid, obstacle/pedestrian detection and blind spot monitoring. In real applications, these radars usually work together to provide more robust detection results. In this book, we also recognize that the future of automotive radars should not only address conventional exterior applications, but also play important roles for interior applications, such as gesture sensing for human-vehicle interaction and driver/passenger vital signs and presence monitoring. The book is aimed at those radar engineers who are working on automotive applications.

In this ground-breaking book Aharon Kellerman explores a rapidly developing aspect of contemporary life: automated and autonomous spatial mobilities and their social and urban implications. Distinguishing between automation, or self-doing, and autonomy, or self-government, at both the conceptual and practical levels, this book also draws a distinction between spatial mobility and automated spatial mobility. Automation processes for transportation and communications media and their controls are discussed in light of these differences. Presenting a wide-ranging discussion on autonomous vehicle (AV) development and its future adoption, as well as of social and spatial dimensions of the AV-age, this highly topical book points to the emergence of autonomously mobile cities and the new mobility landscapes they will present. Academics, as well as practitioners, in the fields of mobility, transportation, urban planning, geography and sociology will find this an essential read.

This thoroughly updated second edition of an Artech House bestseller brings together a team of leading experts who provide a current and comprehensive treatment of the Global Positioning System (GPS). The book covers all the latest advances in technology, applications, and systems. The second edition includes new chapters that explore the integration of GPS with vehicles and cellular telephones, new classes of satellite broadcast signals, the emerging GALILEO system, and new developments in the GPS marketplace. This single-source reference provides a quick overview of GPS essentials, an in-depth examination of advanced technical topics, and a review of emerging trends in the GPS industry.

This two-volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic re-planning and reconfiguration of unmanned aircraft systems (UAS). Volume 1 concentrates on UAS control and performance methodologies including Computer Vision and Data Storage, Integrated Optical Flow for Detection and Avoidance Systems, Navigation and Intelligence, Modeling and Simulation, Multisensor Data Fusion, Vision in Micro-Aerial Vehicles (MAVs), Computer Vision in UAV using ROS, Security Aspects of UAV and Robot Operating System, Vision in Indoor and Outdoor Drones, Sensors and Computer Vision, and Small UAV for Persistent Surveillance. Volume 2 focuses on UAS deployment and applications including UAV-CPSs as a Testbed for New Technologies and a Primer to Industry 5.0, Human-Machine Interface Design, Open Source Software (OSS) and Hardware (OSH), Image Transmission in MIMO-OSTBC System, Image Database, Communications Requirements, Video Streaming, and Communications Links, Multispectral vs Hyperspectral Imaging, Aerial Imaging and Reconstruction of Infrastructures, Deep Learning as an Alternative to Super Resolution Imaging, and Quality of Experience (QoE) and Quality of Service (QoS).

This book presents current developments in smart city research and application regarding the management of manufacturing systems, Industry 4.0, transportation, and business management. It suggests approaches to incorporating smart city innovations into manufacturing systems, with an eye towards competitiveness in a global environment. The same pro-innovative approach is then applied to business and cooperation management. The authors also present smart city transportation solutions including vehicle data processing/reporting system, mobile application for fleet managers, bus drivers, bus passengers and special applications for smart city buses like passenger counting system, IP cameras, GPS system etc. The goal of the book is to establish channels of communication and disseminate knowledge among researchers and professionals working on smart city research and application. Features contributions on a variety of topics related to smart cities from global researchers and professionals in a wide range of sectors; Presents topics relating to smart cities such as manufacturing, business, and transportation; Includes expanded selected papers from EAI International Conference on Management of Manufacturing Systems (MMS 2016), EAI Industry of Things and Future Technologies Conference - Mobility IoT 2016 and International Conference on Smart Electric Vehicles and Vehicular Ad-hoc NETworks (SEVNET).

The automation of road vehicles is still developing, moving towards improved technology, safety, energy and fuel efficiency, comfort, economic growth, and real-world applications. Vehicle connectivity and information exchange over the road is an essential requirement for the future of automated driving. This book is intended to help bridge the gap between theory and applications of autonomous vehicles. Vehicular Ad Hoc Networks and Emerging Technologies for Road Vehicle Automation covers autonomous road vehicles and systems, with a particular focus on vehicular ad-hoc networks (VANETs). VANETs are a key part of the intelligent transport systems framework. They are created by applying the principles of mobile ad-hoc networks to vehicles; that is, the spontaneous creation of a wireless network of mobile devices based on inter-vehicle communication. Coverage also includes further aspects of autonomous road vehicles, including hybrid vehicles, autonomous intelligent vehicles, and autonomous decentralized systems (ADS). The book is essential reading for researchers and advanced students from academia, industry and government working on the automation of road vehicles. Additionally, it is a helpful resource for students, researchers and newcomers to the field; providing an in-depth understanding of autonomous road vehicles, their internal structure, types, and fundamental principles, helping to inform and direct their research, and identify challenging areas and problems where further investigations are needed.

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.