Fei Yang – författare

This book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making.

This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi’an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment.

Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering.

This conference is one of the most significant annual events of the China Electrotechnical Society, showcasing the latest research trends, methodologies, and experimental results in electrical, electronic, and networked energy systems. The proceedings cover a wide range of cutting-edge theories and ideas, including topics such as power systems, power electronics, smart grids, renewable energy, energy integration in transportation, advanced power technologies, and the energy internet.

The aim of these proceedings is to provide a key interdisciplinary platform for researchers, engineers, academics, and industry professionals to present groundbreaking developments in the field of electrical, electronic, and networked energy systems. It also offers engineers and researchers from academia, industry, and government a comprehensive view of innovative solutions that integrate concepts from multiple disciplines.

These volumes serve as a valuable reference for researchers and graduate students in electrical engineering.

Traditional resident travel surveys have limited the development of traffic planning theory and traffic model technology. Although mobile phone signaling data has been widely used to analyze macro urban travel characteristics, travel patterns, and travel behavior due to the advantages such as wide coverage, dynamic performance, and low collection costs, its potential and reliability in collecting individual travel chain information lacked demonstration and consensus.

This book aims to explore a set of methods to extract travel chain information based on the intensive base station under 4G/5G mobile communication network systems. It then verifies the reliability of constructed models from multiple perspectives by integrating empirical research and simulation technologies. Finally, it analyzes the influence of reliability on engineering practice from the perspective of traffic models. By demonstrating the availability of travel information extraction technology, this book provides a systematic and objective reference for traffic practitioners, which enhances their trust in related big data analysis technologies in traffic engineering. It also provides a solid foundation for optimizing and reconstructing theoretical traffic models, urban traffic planning, management, and decision-making.

This book helps traffic engineering researchers, technicians, and managers better understand the difficulties and challenges associated with the application of signaling data. It also helps them better evaluate the impact of existing data types and extraction methods on the four-step method, and adapt to changes in traffic demand and technological environment to achieve theoretical innovation and technological reform.