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.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Review of Travel Characteristic Recognition and Activity-Based Modeling - p. 17 3. Chapter 3. Technical Principles and Evaluation of 4G/5G Mobile Phone Signaling Data - p. 79 4. Chapter 4. Accurate Travel Chain Identification Based on Mobile Phone Signaling Data - p. 107 5. 4.1 Framework - p. 107 6. 4.2 Accurate Travel Endpoint Identification and Localization - p. 109 7. 4.3 Travel Path Identification in Complex Urban Road Networks - p. 147 8. 4.4 Motorized Travel Mode Identification in Complex Urban Road Networks - p. 165 9. 4.5 Summary - p. 179 10. Chapter 5. Activity-Based Models Combined With Mobile Phone Signaling Data - p. 183 11. Chapter 6. Activity Scheduling and Multiagent Microsimulation Platform - p. 251 12. Chapter 7. Outlook - p. 271 13. Index - p. 279
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.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Review of Travel Characteristic Recognition and Activity-Based Modeling - p. 17 3. Chapter 3. Technical Principles and Evaluation of 4G/5G Mobile Phone Signaling Data - p. 79 4. Chapter 4. Accurate Travel Chain Identification Based on Mobile Phone Signaling Data - p. 107 5. 4.1 Framework - p. 107 6. 4.2 Accurate Travel Endpoint Identification and Localization - p. 109 7. 4.3 Travel Path Identification in Complex Urban Road Networks - p. 147 8. 4.4 Motorized Travel Mode Identification in Complex Urban Road Networks - p. 165 9. 4.5 Summary - p. 179 10. Chapter 5. Activity-Based Models Combined With Mobile Phone Signaling Data - p. 183 11. Chapter 6. Activity Scheduling and Multiagent Microsimulation Platform - p. 251 12. Chapter 7. Outlook - p. 271 13. Index - p. 279
