The Patterns of Life Human Mobility Simulation
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Abstract (arXiv)
We demonstrate the Patterns of Life Simulation to create realistic simulations of human mobility in a city. This simulation has recently been used to generate massive amounts of trajectory and check-in data. Our demonstration focuses on using the simulation twofold: (1) using the graphical user interface (GUI), and (2) running the simulation headless by disabling the GUI for faster data generation. We further demonstrate how the Patterns of Life simulation can be used to simulate any region on Earth by using publicly available data from OpenStreetMap. Finally, we also demonstrate recent improvements to the scalability of the simulation allows simulating up to 100,000 individual agents for years of simulation time. During our demonstration, as well as offline using our guides on GitHub, participants will learn: (1) The theories of human behavior driving the Patters of Life simulation, (2) how to simulate to generate massive amounts of synthetic yet realistic trajectory data, (3) running the simulation for a region of interest chosen by participants using OSM data, (4) learn the scalability of the simulation and understand the properties of generated data, and (5) manage thousands of parallel simulation instances running concurrently.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Sep 2024.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2024Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Frameworkcited by 2
- 2024GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Datasetcited by 2
- 2025Human Mobility Datasets Enriched With Contextual and Social Dimensionscited by 0
- 2025Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Lifecited by 0
- 2025World-POI: Global Point-of-Interest Data Enriched from Foursquare and OpenStreetMap as Tabular and Graph Datacited by 0
- 2026Staypoint Detection from Noisy Trajectory Data [Experiment Paper]cited by 0
- 2026Staypoint Detection from Noisy Trajectory Data [Experiment Paper]21 Jul 2026
- 2025World-POI: Global Point-of-Interest Data Enriched from Foursquare and OpenStreetMap as Tabular and Graph Data24 Oct 2025
- 2025Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Life3 Oct 2025
- 2025Human Mobility Datasets Enriched With Contextual and Social Dimensions26 Sep 2025
- 2024GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset2 Oct 2024
- 2024Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework1 Oct 2024