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Airport collaborative decision making (ACDM) is a process in which the stakeholders of operations--airport operators, the air traffic control tower staff, flight operators, ground handlers, fixed-base operators, and others--share information to improve policies, planning, real-time coordination, and decisions regarding operations. The TRB Airport Cooperative Research Program's ACRP Research Report 229: Airport Collaborative Decision Making (ACDM) to Manage Adverse Conditions proposes a step-by-step approach to achieve ACDM implementation, supported by templates and a workbook, to involve stakeholders, define common goals and objectives, appoint leadership for the initiative, tailor a vision that serves the local needs, and develop a roadmap of successful projects delivering practical improvements. Of the airports surveyed as part of this project, 67 percent do not hold regular meetings with the flight operators. Interviews with staff at individual airports show a lack of real-time coordination between the stakeholders. However, nearly all the survey participants responded affirmatively that they would consider holding such meetings to improve collaboration because it is commonly understood that more cooperation can help address local issues and improve overall efficiency.
Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20–24, 2023, San Francisco, USA
This book provides novel concepts and techniques for air traffic management (ATM) and communications, navigation, and surveillance (CNS) systems. The book consists of selected papers from the 6th ENRI International Workshop on ATM/CNS (EIWAC2019) held in Tokyo in October 2019, the theme of which was “Exploring Ideas for World Aviation Challenges”. Included are key topics to realize safer and more efficient skies in the future, linked to the integrated conference theme consisting of long-term visions based on presentations from various fields. The book is dedicated not only to researchers, academicians, and university students, but also to engineers in the industry, air navigation service providers (ANSPs), and regulators of aviation.
This book discusses megatrends and subsequently applies them to the air transport industry from a legal, ethical and economic perspective. Starting with a detailed discussion on what these megatrends are, the book provides an essential overview of megatrends and air transport, including analytical discussions on how megatrends could affect basic issues such as nationalism and sovereignty, market access in air transport, and commercial space transport. It also delves into the rights of the airline passenger as affected by megatrends. Further, the book analyses a broad range of topics, including: the digital transformation of air transport; technology and air transport; robotic pilots and their legal ramifications; the human-robot interface and the law with focus on the pilot; cognitive computing; and issues of empowerment and connectivity. It discusses in detail United Nations initiatives and initiatives of the International Civil Aviation Organization, considering aspects such as: the new world order; e-trends and air transport; apps that make air travel easier; and apps designed to help the aviation authorities. Further topics include artificial intelligence and air transport and related technical, ethical and economic issues, as well as a legal inquiry into manufacturer’s defects; design defects; and liability for failure to warn of defects. Questions are posed and answers provided on the effects of artificial intelligence and legal issues stemming from its use in air transport. Two major discussions follow on millennials and air transport, and on the Internet of everything as related to air transport. The conclusion ties in megatrends with air transport and offers the industry a way forward for adapting to these trends.
From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
Measuring and managing the performance of a business is one of the most genuine desires of management. Balanced scorecard, the performance prism and activity-based management are the most popular frameworks in this setting. Based on the findings of R.G. Eccles’ acclaimed "Performance Measurement Manifesto (1991)" this book introduces new contexts and themes of application and presents emerging research areas related to business performance measurement and management, e.g. SMEs and sustainability. As a result of the 1st International Summer School Piero Lunghi on "Perspectives of Business Performance Management" this book is written both for students and academics, as well as for practitioners looking for new, yet proven ways to measure and manage business performance.
Provides an account, from the point of view of the U.S. Army forces employed, of the 1990-91 Persian Gulf War, from the Iraqi invasion of Kuwait to the withdrawal of coalition forces from southeastern Iraq. It focuses on the Army's part in this war, particularly the activities of the Headquarters, Third Army, and the Army Forces Central Command (ARCENT). It looks especially at the activities of the VII Corps, which executed ARCENT's main effort in the theater ground force schwerpunkt -- General Schwarzkopf's "Great Wheel." This is not an official history; the author speaks in his own voice and makes his own judgments. Maps.
This book discusses the latest advances in the research and development, design, operation, and analysis of transportation systems and their corresponding infrastructures. It presents both theories and case studies on road and rail, aviation, and maritime transportation. Further, it covers a wealth of topics, from accident analysis, intelligent vehicle control, and human-error and safety issues to next-generation transportation systems, model-based design methods, simulation and training techniques, and many more. Special emphasis is placed on smart technologies and automation in transport, as well as the user-centered, ergonomic, and sustainable design of transportation systems. The book, which is based on the AHFE 2020 Virtual Conference on Human Aspects of Transportation, held on July 16–20, 2020, mainly addresses the needs of transportation system designers, industrial designers, human–computer interaction researchers, civil and control engineers, as well as vehicle system engineers. Moreover, it represents a timely source of information for transportation policy-makers and social scientists whose work involves traffic safety, management, and sustainability issues in transport.
The investigation and modelling of aviation accident causation is dominated by linear models. Aviation is, however, a complex system and as such suffers from being artificially manipulated into non-complex models and methods. This book addresses this issue by developing a new approach to investigating aviation accident causation through information networks. These networks centralise communication and the flow of information as key indicators of a system’s health and risk. This holistic approach focuses on the system environment, the activity that takes place within it, the strategies used to conduct this activity, the way in which the constituent parts of the system (both human and non-human) interact and the behaviour required. Each stage of this book identifies and expands upon the potential of the information network approach, maintaining firm focus on the overall health of a system. The book’s new model offers many potential developments and some key areas are studied in this research. Through the centralisation of barriers and information nodes the method can be applied to almost any situation. The application of Bayesian mathematics to historical data populations provides scope for studying error migration and barrier manipulation. The book also provides application of these predictions to a flight simulator study for the purposes of validation. Beyond this it also discusses the applicability of the approach to industry. Through working with a legacy airline the methods discussed are used as the basis for a new and prospective safety management system.
"This document identifies the principal tensions and opportunities arising that are impacting the inevitable and ongoing digitalization process that is underway in the maritime sector, particularly through the authors' experience in the development and subsequent validation of the Port Collaborative Decision Making (PortCDM) concept. The document also identifies the trends of development at large and those associated with the many stakeholders that are involved in global maritime operations..."--Page 6.