Human Factors in Traffic Safety for Highway and Traffic Engineers provides human factors principles and findings to allow nonexperts to consider the road user’s capabilities and limitations more effectively into the practice of design, operations, and safety. It provides data and insights on the needs, capabilities, and limitations of road users, including perception and effects of visual demands, cognition, and influence of expectations on driving behavior. It bridges the gap between human factors research and practical application, presenting complex psychological insights in an accessible manner.This book begins with Part 1 explaining the significance of the traffic safety problem and giving an overview of the importance of human factors in highway design and traffic engineering. Part 2 focuses on driver information perception and processing, including perception of depth and speed, driver’s visual search, how road users search for information, and how mental and information load affects drivers’ performance. Part 3 provides results of investigations of traffic crash causation and reviews major driver errors. Part 4 then describes key principles of road users’ considerations during highway design and traffic operation. Finally, Part 5 focuses on safety analysis and assessment and describes in detail the existing methods to evaluate human factors during safety assessments.This is a valuable resource for professionals in highway and traffic engineering, researchers, policymakers, urban planners, and students to understand how human factors contribute to traffic incidents and how to mitigate these through design and operational strategies.
Models and Applications of Tourists’ Travel Behavior provides an overview of all possible approaches to modeling tourists’ travel behavior, helping readers decide which theoretical approach should be chosen depending on the available type of data. It focuses on the connection between traditional travel behavior theories and tourist studies and introduces specific tourist contexts in travel demand modelling. It goes beyond the theoretical background of tourist travel behavior modeling and offers a practical understanding for choosing the right model and sourcing the right data.The book begins with the role of transport in tourist’ travel behavior, then employs a literature review to establish the necessary background on the topic. It then goes on to describe theoretical approaches, descriptive approaches, and statistical approaches for modelling. It discusses choice models based on both Stated Preference Data and Revealed Preference Data. It concludes with chapters on machine learning methods. This book uniquely focuses on modeling transport with regard to tourism, including mode choice, modelling waiting time, modelling delay, and more.A variety of readers will find this book a valuable resource: Educators can use it as a basis for courses on the quantification of tourists’ travel behavior; students will learn how to deal with modeling tourists’ travel choices; and researchers will benefit from a good starting point from where new models can be developed.
Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns—a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning).Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.
Technological Innovations and Industry 5.0: A Supply Chain Perspective provides a complete review of Industry 5.0, its guiding principles, and its possible effects on supply chains. Examining the difficulties and possibilities presented by the incorporation of cutting-edge technologies into supply chain management, it guides the reader through decision making to application.Robotics, artificial intelligence, the Internet of Things, and data analytics are increasingly changing how supply chains operate. This book presents the core ideas and potential impacts on, and risks to, supply chain structure. It includes analysis of the latest research as well as providing a sound understanding of relevant techniques and modeling for real-world advances. Evaluation approaches of decision support frameworks for circularity, sustainability, and supply chain performance are also included.This book is an invaluable resource for anyone seeking alternative solutions to address supply chain issues and meet sustainability and customer demands by leveraging advancements in technology.
Smart Infrastructure Management provides an inter-disciplinary exploration of this intricate and dynamic landscape, with an overarching aim of providing theoretical and practical understanding of state-of-the-art technologies that can effectively support a variety of stakeholders. The book examines the evolutionary trajectory, inherent challenges, and pivotal methodologies for modern-day infrastructure management, with a narrative that traverses the complex frameworks of different domains to coordinate a transformative, fully integrated approach. The appeal of the investigation is thus expanded from researchers and students to professionals across diverse fields, ensuring that actionable strategies are also incorporated in industry practice.Data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, decision support systems, and the transformative influence of smart cities contribute to the book’s breadth and depth. Real-world case studies are strategically interwoven throughout, offering tangible examples of encouragingly successful implementations and valuable lessons learned.
Net-Zero Transit: The Future of Eco-Friendly Transportation thoroughly examines the possible future of environmentally friendly transportation, presenting creative approaches and tactics to attain a transit sector with no net emissions. The book explores the convergence of technology, politics, and consumer behavior to provide a comprehensive perspective on achieving environmentally friendly transportation worldwide. The authors illustrate the practicality and advantages of adopting environmentally friendly transportation systems through the examination of real-life examples and the analysis of data.The authors offer practical assistance for establishing sustainable practices in the transit sector by emphasizing successful efforts and innovative solutions. In addition, they provide valuable perspectives on possible obstacles and hurdles that may occur throughout the shift towards achieving net-zero emissions, as well as suggestions for effectively addressing and surmounting them. It uses theoretical analysis and case studies to explore the benefits and challenges of transitioning to a zero-net-carbon transportation system. The economic, social, and environmental impacts of transitioning to net-zero transit are discussed, including the role of government policies, public-private partnerships, and community engagement. The analytical framework of this book encompasses several scenarios, such as the implementation of carbon policy, carbon pricing, carbon offset programs, climate-conscious car-flight-marine pooling, climate-conscious car-flight-marine green gridlock, pedal-walking power progress, and future-proof transportation. It employs real historical datasets from different countries and regions across the globe to forecast future emissions from various transportation modes using a range of machine learning techniques.This book is an invaluable resource for legislators, industry experts, and individuals seeking to promote environmentally friendly transportation solutions and contribute positively to the environment. Its detailed analysis offers actionable insights to policymakers and stakeholders in the transportation industry, enabling them to make well-informed decisions regarding measures to reduce emissions.
Handbook on New Paradigms in Smart Charging for E-Mobility: Global Trends, Policies and Practices provides a complete package for understanding and developing smart chargers for e-mobility applications. It discusses various concepts required for developing charging infrastructure and usage of different kinds of storage technologies, power electronics converters, controllers, communication requirements, grid infrastructure, sustainable technologies, policy frameworks, and all other related crucial aspects of E-mobility.Each part of the book covers a subdomain of e-mobility, beginning with an introductory chapter reviewing existing literature; the subsequent chapters are arranged to each follow the previous one. Other available books focus on specific technical subdomains of e-mobility, but none provides the wider outlook to meet the requirements of all audiences. This book uniquely brings together topics that are not otherwise easily accessible or available to these audiences.This book will be beneficial for engineers, scientists, and researchers, providing them with a comprehensive standard benchmark work to explore the evolving aspects of charging infrastructure for E-mobility. Further, it will also help policymakers, practitioners and government entities to formulate policies for successful implementations of E-motility for their masses. The techno-socio-economic focus will serve as standard literature for all.
Blockchain and Supply Chain Management, Second Edition combines discussions of blockchain and supply chains, linking technologies such as artificial intelligence, Internet of Things, satellite imagery, and machine vision. The book examines blockchain’s basic concepts, relevant theories, and its roles in meeting key supply chain objectives. The book addresses problems related to inefficiency, opacity, and fraud, helping the digitization process, simplifying the value creation process, and facilitating collaboration. The book is balanced between blockchain and supply chain application and theory, covering the latest technological, organizational and regulatory developments in blockchain from a supply chain perspective.The book discusses the opportunities, barriers, and enablers of blockchain in supply chain policy, along with legal and ethical implications. The second edition has been thoroughly updated with a new chapter on the luxury good industry supply chains, as well as updated data and statistics; new examples, case studies, and In-Focus boxes; and added regularly updates throughout the book.As supply chain management faces massive disruption with the dynamic changes in global trade, the impact of Covid-19, and technological innovation, scholars, students, and researchers, as well as practitioners such as analysts, consultants, executives, engineers, and managers, will find this a valuable resource for addressing problems related to inefficiency, opacity, and fraud, helping the digitization process, simplifying the value creation process, and facilitating collaboration.
Transportation Big Data: Theory and Methods is centered on the big data theory and methods. Big data is now a key topic in transportation, simply because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors. This book provides a structured analysis of the commonly used methods for handling transportation big data; it is supported by a wealth of transportation engineering examples, together with codes. It offers a concise, yet comprehensive, description of the key techniques and important tools in transportation big data analysis.
Practical Aviation Security: Predicting and Preventing Future Threats, Fourth Edition is a guide to the aviation security system, from crucial historical events to the policies, policymakers, and major terrorist and criminal acts that have shaped the procedures in use today, as well as the cutting-edge technologies that are shaping the future. Using case studies and practical security measures now in use at airports worldwide, readers learn the effective methods and fundamental principles involved in designing and implementing a security system. This expanded fourth edition covers new threats and technologies to reflect the latest knowledge in the field from the past decade.This book will be ideal for airport, airline, charter, government, and others with aviation security responsibilities to better implement their security programs, evaluate the ever-changing risk environment, and respond appropriately and responsibly.