{
  "annotation_id": "5897b955-81a3-4bc4-bb44-0b9aea0b4d78",
  "date_created": "2026-03-02T18:01:04.390000Z",
  "date_modified": "2026-03-02T18:01:04.390000Z",
  "file_hash": "17a565ac118ddb615a4090a043da6fcd7e9e62b403b05fd1207926a6fb7e18ab",
  "private": false,
  "record": {
    "abstract": "We propose a two dimensional probabilistic cellular automata for the\ndescription of traffic flow in a small city network composed of two\nintersections. The traffic in the network is controlled by a set of traffic\nlights which can be operated both in fixed-time and a traffic responsive\nmanner. Vehicular dynamics is simulated and the total delay experienced by the\ntraffic is evaluated within specified time intervals. We investigate both\ndecentralized and centralized traffic responsive schemes and in particular\ndiscuss the implementation of the {\\it green-wave} strategy. Our investigations\nprove that the network delay strongly depends on the signalisation strategy. We\nshow that in some traffic conditions, the application of the green-wave scheme\nmay destructively lead to the increment of the global delay.",
    "arxiv_id": "physics/0511141",
    "authors": [
      "M. Ebrahim Fouladvand",
      "M. Reza Shaebani",
      "Zeinab Sadjadi"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.stat-mech"
    ],
    "doi": "10.1143/JPSJ.73.3209",
    "journal_ref": "J. Phys. Soc. Jpn. 73, 3209 ( 2004)",
    "title": "Intelligent Controlling Simulation of Traffic Flow in a Small City   Network",
    "url": "https://arxiv.org/abs/physics/0511141"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "534c82cd-ad40-4ad3-841c-f25c3deec8a0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}