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.
Cuprins
Preface.- Chapter 1:Introduction.- Chapter 2:Review of Mobile Phone Data in Travel Characteristics Recognition.- Chapter 3 Principle and Feature of Mobile Phone Signaling Data.- Chapter 4:Individual Travel Chain Characteristics Recognition and Experimental System Design.- Chapter 5:Empirical Study on Travel Chain Characteristics Recognition by Mobile Phone Signaling Data.- Chapter 6:Influence of Analysis Reliability on Traffic Applications Based on Mobile Phone Signaling Data.- Chapter 7:Sensitivity Analysis Based on “Communication-Traffic” Integrated Simulation.- Chapter 8:OUTLOOK.- Reference.
Despre autor
Fei Yang, Ph.D., is a professor and the head of the Department of Traffic Engineering, Southwest Jiaotong University. He is a committee member of the Academic Committee of Urban Transport Planning of Urban Planning Society of China, the expert of the Young Expert Working Committee of China Intelligent Transportation Systems Association, the chairman of Technical Committee on public transport Operation and Management of the World Transport Convention, etc. He has been selected into Program for New Century Excellent Talents in University. He has conducted more than 10 national and provincial scientific research projects, including 4 projects of the National Natural Science Foundation of China and 1 sub-project of National Key R&D Program of China. He serves as the editorial board and reviewer of number of international SCI journals and EI journals. In recent years, he has published more than 40 academic papers and 2 academic monographs, where one of the monographs is funded by the National Publication Foundation and selected into the National publication Plan for key publications of the “The 13th Five-Year Plan”. He has also applied for 13 invention patents, among which 7 have been authorized.
Yanchen Wang, Ph.D., is an engineer who graduates from the School of Transportation and Logistics of Southwest Jiaotong University. He is engaged in the research and application of transportation big data and intelligent transportation for a long time. He has participated in 6 national natural science funds and other scientific research projects above the provincial and ministerial level, participated in more than 10 transportation engineering practice projects, published 4 papers, and obtained 1 patent and 1 software copyright.
Yudong Guo, Ph.D., is a researcher who studies at the School of Transportation and Logistics of Southwest Jiaotong University. He has been engaged in the research and application of transportation big data, traffic management, and traffic model. He has participated in more than 6 national and provincial research projects and participated in more than 10 traffic practice projects. He has published more than 10 academic papers, 2 patents, and 1 software copyright.
Haihang Jiang, Ph.D., is a researcher with the Pervasive Communication Research Center, Purple Mountain Laboratories. He has been engaged in the research and application of intelligent transportation systems, transportation big data, and wireless communication system. He has published more than 8 academic papers. He also serves as the reviewer of several famous journals in traffic engineering, including IET Intelligent Transport Systems.
Zhenxing Yao, Ph.D., is an assistant professor in the College of Transportation Engineering, Chang’an University. He has long been engaged in the research and application of intelligent transportation systems, transportation big data, active traffic management, and traffic simulation. He has participated in more than 10 national and provincial research projects such as the National Natural Science Foundation of China, Social Sciences Foundation of the Ministry of Education, etc., and participated in more than 30 traffic practice projects. He has published more than 20 academic papers, 2 monographs, 4 patents, and 5 software copyrights. He also serves as the reviewer of several famous journals in traffic engineering, including Transportation Research Part C, IEEE Transactions on ITS, etc., and is a committee member of public transport Management committee of the World Transport Convention.
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