{
  "annotation_id": "f86a8cae-7038-4a87-9284-240b0ea75759",
  "date_created": "2026-03-02T18:01:03.483000Z",
  "date_modified": "2026-03-02T18:01:03.483000Z",
  "file_hash": "8f69bec3257b648f5c87a96ea9d5765eb30fda256b164a76ee18385aa755ea99",
  "private": false,
  "record": {
    "abstract": "The knowledge of real-life traffic pattern is crucial for good understanding\nand analysis of transportation systems. This data is quite rare. In this paper\nwe propose an algorithm for extracting both the real physical topology and the\nnetwork of traffic flows from timetables of public mass transportation systems.\nWe apply this algorithm to timetables of three large transportation networks.\nThis enables us to make a systematic comparison between three different\napproaches to construct a graph representation of a transportation network; the\nresulting graphs are fundamentally different. We also find that the real-life\ntraffic pattern is very heterogenous, both in space and traffic flow\nintensities.",
    "arxiv_id": "physics/0510151",
    "authors": [
      "Maciej Kurant",
      "Patrick Thiran"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1103/PhysRevE.74.036114",
    "title": "Trainspotting: Extraction and Analysis of Traffic and Topologies of   Transportation Networks",
    "url": "https://arxiv.org/abs/physics/0510151"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f264fea7-fa44-4a3b-8ad6-dbbf626e60e7",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}