{
  "id": "2404.06902",
  "version": "v1",
  "published": "2024-04-10T10:46:43.000Z",
  "updated": "2024-04-10T10:46:43.000Z",
  "title": "Spatiotemporal Analysis of Shared Situation Awareness among Connected Vehicles",
  "authors": [
    "Seungmo Kim"
  ],
  "categories": [
    "eess.SY",
    "cs.SY"
  ],
  "abstract": "Shared situation awareness (SSA) has been garnering explosive interest in various applications for intelligent transportation systems (ITS). In addition, the delay-constrained nature of supporting vehicular networks makes it critical to precisely analyze the performance of a SSA procedure. Extending the relevant literature, this paper provides an analysis framework that evaluates the performance of SSA in spatial and temporal aspects simultaneously. Specifically, this paper provides a closed-form probability distribution for the length of time taken for constitution of a SSA among a group of connected vehicles. This paper extends the calculation to investigation of feasibility of SSA in supporting various types of safety messages defined by the SAE J2735.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2024-04-10T10:46:43.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "shared situation awareness",
      "connected vehicles",
      "spatiotemporal analysis",
      "intelligent transportation systems",
      "closed-form probability distribution"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}