{
  "id": "2204.12815",
  "version": "v1",
  "published": "2022-04-27T10:18:15.000Z",
  "updated": "2022-04-27T10:18:15.000Z",
  "title": "Semi-Autonomous Electric Vehicles in Platooning Mode and Their Effects on Travel Time: A Framework for Simulation Evaluation",
  "authors": [
    "Aso Validi",
    "Nikita Smirnov",
    "Cristina Olaverri-Monreal"
  ],
  "categories": [
    "eess.SY",
    "cs.SY"
  ],
  "abstract": "Connected and Automated Vehicles (CAVs) have received a lot of attention in recent years. However, there are still numerous challenges in this field. In this paper, we investigated the effects of dynamic-flexible platooning on travel time by considering real-world trips data. For this purpose we extended the platooning capabilities of the 3DCoAutosim simulation platform, and proposed a dynamic-flexible model that we validated by creating use cases on traffic efficiency. We studied our dynamic-flexible platooning case for three electric vans with an autonomous leader, a semi-autonomous first follower with a driver, and an autonomous last follower. Results showed that the model developed in this study is efficient to investigate the effects of dynamic-flexible platooning on travel time.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2022-04-27T10:18:15.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "travel time",
      "semi-autonomous electric vehicles",
      "simulation evaluation",
      "platooning mode",
      "3dcoautosim simulation platform"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}