Integrating Activity-Based Models with Mobile Phone Data: Advances in Traffic Modeling and Multi-Agent Simulation - Softcover

Yang PhD, Fei; Guo PhD, Yudong; Shan BSc, Zhenyu

Softcover

ISBN 10: 0443490449 ISBN 13: 9780443490446

Publisher: Elsevier, 2026

Synopsis

Integrating Activity-Based Models with Mobile Phone Data: Advances in Traffic Modeling and Multi-Agent Simulation analyzes the path from the observation to prediction using traffic big data. The book explores the refined identification method of individual travel chains in the diversified and complex urban travel environment, reconstructing the structure and algorithms of Activity-based Models or ABM based on the characteristics identified by mobile phone signaling data. Final sections develop an activity decision-making and microscopic behavior simulation platform. Users will find this to be a resource that supports urban and regional traffic management optimization and traffic planning using traffic big data.

• Discusses highly debated issues in the fields of commodities, sustainable (ESG) finance, and sustainable development
• Applies various levels of analysis and research methods, leading to both macro- and micro-level conclusions
• Includes a highly detailed empirical analysis, utilizing a comprehensive database throughout the book, with information on all ETCs―regardless of their activity status
• Utilizes the example of a market for exchange-traded commodities (ETCs), merging the academic and practical perspectives

About this title

About the Authors

Professor Fei Yang is based at Southwest Jiaotong University and is Director of the Department of Transportation Engineering in the School of Transportation and Logistics; he is engaged in researching traffic big data and intelligent transportation technology application, travel behaviour theory and empirical evidence, urban traffic planning theory and methodology related research.

Professor Yang received his Ph.D. degree from Tongji University in 2007 and spent one year of postdoctoral study at the University of Wisconsin-Madison in 2011. Professor Yang has been selected for the University's New Century Excellent Talents program. He has conducted more than 10 national and provincial scientific research projects, including four projects of the National Natural Science Foundation of China and one sub-project of the National Key R&D Program of China. He has published more than 70 academic papers and five academic monographs; one of the monographs was funded by the National Publication Foundation and selected for the National Publication Plan for key publications of the "The 13th Five-Year Plan".

Dr Yudong Guo works at the Sichuan Expressway Construction & Development Group Co., Ltd. and is engaged in expressway operation and management, traffic big data, traffic model, traffic planning and management. He has published more than 15 academic papers, one academic monograph, four patents, and has been awarded one software copyright

Zhenyu Shan is a researcher at the School of Transportation and Logistics of Southwest Jiaotong University. He has been engaged in researching and applying traffic big data, traffic management, and traffic demand modelling

From the Back Cover

Integrating Activity-Based Models with Mobile Phone Data analyses the path from the observation to prediction using traffic big data. It explores the refined identification method of individual travel chains in the diversified and complex urban travel environment. The book reconstructs the structure and algorithms of Activity-based Models or ABM based on the characteristics identified by mobile phone signalling data. Finally, the book develops an activity decision-making and microscopic behavior simulation platform. The objective of the book is to support urban and regional traffic management optimization and traffic planning using traffic big data.

Edition details

• Publisher: Elsevier
• Publication date: 2026
• Language: English
• ISBN 10: 0443490449
• ISBN 13: 9780443490446
• Binding: Paperback
• Edition number: 1
• Number of pages: 296