{
  "annotation_id": "9b98ae8d-6b6d-4fc7-bb4b-3e0d942ec22b",
  "date_created": "2026-03-02T18:00:36.381000Z",
  "date_modified": "2026-03-02T18:00:36.381000Z",
  "file_hash": "f84e97ccbab8022648e8c1b0e0d7737d6f02edf1a638210bb9aa1e9e4f4672a0",
  "private": false,
  "record": {
    "abstract": "Traffic flow data collected by an induction loop detector on the highway\nclose to Koeln-Nord are investigated with respect to their dynamics including\nthe stochastic content. In particular we present a new method, with which the\nflow dynamics can be extracted directly from the measured data. As a result a\nLangevin equation for the traffic flow is obtained. From the deterministic part\nof the flow dynamics, stable fixed points are extracted and set into relation\nwith common features of the fundamental diagram.",
    "arxiv_id": "physics/0110084",
    "authors": [
      "S. Kriso",
      "R. Friedrich",
      "J. Peinke",
      "P. Wagner"
    ],
    "categories": [
      "physics.data-an"
    ],
    "doi": "10.1016/S0375-9601(02)00288-8",
    "title": "Reconstruction of dynamical equations for traffic flow",
    "url": "https://arxiv.org/abs/physics/0110084"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "614e63f4-3496-43f8-b94b-d2b56897970d",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}