{
  "$type": "site.standard.document",
  "description": "Implementations claimed and described herein provide systems and methods for simulating traffic using synthetic data based on agent-based modeling that simulates real drivers in a particular geographic area and time frame. In one implementation, inputting, in a machine-learning model of a…",
  "path": "/patents/1377473",
  "publishedAt": "2025-12-18T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06F30/27",
    "Allstate Insurance Company"
  ],
  "textContent": "Implementations claimed and described herein provide systems and methods for simulating traffic using synthetic data based on agent-based modeling that simulates real drivers in a particular geographic area and time frame. In one implementation, inputting, in a machine-learning model of a simulation system, real-world agent-based position data associated with a custom selection of a geographic area and a time frame. The machine-learning model of the simulation system outputs metrics associated with synthetic agent-based position data over time within a map for the simulated environment and the variation of the simulated environment, wherein the metrics represents synthetic movement behavior of agents associated with synthetic individuals based on real movement behavior associated with the geographic area and the time frame.",
  "title": "SYSTEM AND METHOD FOR SIMULATING TRAFFIC USING AGENT-BASED MODELING"
}