Unmanned Driving Systems for Smart Trains explores the core technologies involved in unmanned driving systems for smart railways and trains, from foundational theory to the latest advances. The volume introduces the key technologies, research results and frontiers of the field. Each chapter includes practical cases to ground theory in practice. Seven chapters cover key aspects of unmanned driving systems for smart trains, including performance evaluation, algorithm-based reasoning and learning strategy, main control parameters, data mining and processing, energy saving optimization and control, and intelligent algorithm simulation platforms. This book will help researchers find solutions in developing better unmanned driving systems. - Responds to the expansion of smart railways and the adoption of unmanned global systems - Covers core technologies of unmanned driving systems for smart trains - Details a large number of case studies and experimental designs for unmanned railway systems - Adopts a multidisciplinary view where disciplines intersect at key points - Gives both foundational theory and the latest theoretical and practical advances for unmanned railways

This book is the tenth volume in a series titled “Contemporary Logistics in China,” authored by researchers from the Logistics Research Center at Nankai University. In the spirit of the nine preceding annual volumes, this book carries on the tenet of providing a systematic exposition of the logistics development in China for the English-speaking community at large. In particular, this volume captures China’s ever-progressing logistics development over the past four decades of “reform and opening” directives and reflects on the technological advancement and systemic reformation. Subjects covered in this volume encompass the macro-factors pertaining to the overall development in logistics technologies and facilities, region-specific policies and plans, industry-wide transformation in manufacturing, commerce, agriculture, and supply chain logistics. Specifically, it describes the innovation in supply chain service and the application of intelligent logistics in China in 2018, and recounts the evolution and expansion of the logistics functionalities in the Free Trade Zones in recent years. The expositions on and analyses of these subjects are based on the latest available sources and statistical data. As with the previous volumes, the ultimate aim of this book is to present a timely portrait of the rapid growth of China’s logistics market and the status quo of its logistics industry. In so doing, the book attempts to afford an in-depth analysis of critical issues pertaining to the ongoing, dynamic and multi-faceted development, and provide a valuable reference to interested readers in the academic and professional fields.

Transportation is changing in exciting ways, and computerization is playing a major role in this transition. Automated systems such as computer-controlled cameras and traffic signals, new software for the design of transportation systems and highways, remote monitoring of commercial vehicles such as trucks, and automation of vehicles are all changing the way that people and goods move. The most exciting trend is the development of autonomous cars, planes, trains, and trucks. This book uses sidebars, photographs, and professional examples to describe the transportation technologies that require coders and the opportunities that exist, now and in the future, for coders in the field. It explains courses students can take in high school and college or technical school to become successful coders in the future. It also provides advice on how to find a job as a coder in the transportation field.

With the implementation of the strategic plan “Made in China 2025” as its guideline and “the study of formulation of executive summary of innovative design in the manufacturing industry” as the main theme, this book provides an in-depth interpretation of innovative design from three perspectives – why, what and how. Chapter One, “The Necessity of Developing Innovative Design,” focuses on why innovative design should be developed, and Chapter Two, “Concept And Connotation of Innovative Design,” explains what innovative design is, while Chapters Three to Seven systematically and comprehensively discuss how to develop innovative design and how to improve innovative design skills in various contexts, including key industries, business, personnel training, platform building, and supporting measures. Lastly, Chapter Eight “Cases of Innovative Design” explores the value of innovative design and innovative design-driven industrial transformation. By analyzing several design-driven companies, such as China Railway Rolling Stock Corporation, Haier Group and GAG Trumpchi, and the role of corporate innovative development as well as typical examples of major innovative design projects, it offers readers insights and inspiration.

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. - Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies - Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving - Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS

Many industries are affected by the growing advancements and stability of the internet of things (IoT) technologies and tools. These include the agricultural fields. With such advancements, decision-enabling agricultural field data gets gathered and transmitted meticulously through numerous IoT sensors and devices deployed in agricultural fields and their surroundings. Further study on these technologies is required to ensure they are utilized appropriately within the field. Applying Drone Technologies and Robotics for Agricultural Sustainability conveys the latest trends and transitions happening in the digital space in order to fulfill the varying needs and sentiments of the agriculture domain. Covering key topics such as deep learning, robots, sustainability, and smart farming, this premier reference source is ideal for industry professionals, farmers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.