
Integrating Activity-Based Models with Mobile Phone Data
Advances in Traffic Modeling and Multi-Agent Simulation
Elsevier (Publisher)
Published on 21. May 2026
Book
Paperback/Softback
296 pages
978-0-443-49044-6 (ISBN)
Description
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.
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Weight
450 gr
ISBN-13
978-0-443-49044-6 (9780443490446)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Fei Yang | Yudong Guo | Zhenyu Shan BSc
Integrating Activity-Based Models with Mobile Phone Data
Advances in Traffic Modeling and Multi-Agent Simulation
E-Book
05/2026
Elsevier
€116.99
Available for download
Persons
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
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
Author
Southwest Jiaotong University, China
Sichuan Expressway Construction and Development Group Co., Ltd, China
Zhenyu Shan
Content
1. Introduction
2. Review of Travel Characteristic Recognition and Activity-Based Modeling
3. Technical Principles and Evaluation of 4G/5G Mobile Phone Signaling Data
4. Accurate Travel Chain Identification Based on Mobile Phone Signaling Data
5. ABMs Combined with Mobile Phone Signaling Data
6. Activity Scheduling and Multi-Agent Micro-Simulation Platform
7. Outlook
2. Review of Travel Characteristic Recognition and Activity-Based Modeling
3. Technical Principles and Evaluation of 4G/5G Mobile Phone Signaling Data
4. Accurate Travel Chain Identification Based on Mobile Phone Signaling Data
5. ABMs Combined with Mobile Phone Signaling Data
6. Activity Scheduling and Multi-Agent Micro-Simulation Platform
7. Outlook