Yanbo Pang

Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics. 

SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems(SIGSPATIAL/GIS), 411-414, 2021  Peer-reviewed

Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. 

IEEE BigData, 3755-3759, 2021  Peer-reviewedLead author

Development of people mass movement simulation framework based on reinforcement learning 

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 117, Aug, 2020  Peer-reviewedLead author

Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning. 

SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems(SIGSPATIAL/GIS), 293-302, 2020  Peer-reviewedLead author

Replicating Urban Dynamics by Generating Human-like Agents from Smartphone GPS Data 

26TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2018), 440-443, 2018  Peer-reviewedLead author

Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas 

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 85 249-267, Dec, 2017  Peer-reviewedLead author

Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach 

PROCEEDING OF THE PREDICTGIS 2017 WORKSHOP, 27-35, 2017  Peer-reviewedLead author