{
  "abstract": "Coordinated electric vehicle (EV) charging can improve alignment between transportation operations and power-system conditions as electrification expands. This study develops an integrated simulation-optimization framework that embeds demand-aware charging (DAC) and grid-responsive charging, including unidirectional smart charging (V1G) and vehicle-to-grid (V2G), within an agent-based model, enabling dynamic feedback between optimized vehicle (dis)charging decisions and evolving transportation-system states. Using the Austin 6-county region, the framework evaluates 15,000 shared autonomous electric vehicles (SAEVs) under DAC, V1G, fleet-only V2G, and combined fleet-plus-household V2G. Results show coordinated strategies concentrate charging toward midday and provide selective evening discharge while maintaining service performance. Under favorable pricing, V2G reduces net CO2 emissions from 45 kg/SAEV/day under DAC to below 40 kg and lowers emission intensity by up to 14% to 0.14 kg per vehicle-mile traveled. DAC and V1G offer near-term options, whereas high V2G costs may hinder adoption. Realized benefits depend on tariffs, vehicle availability, and V2G maturity.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2611.08748",
  "author_total": 2,
  "authors": [
    {
      "name": "Lin Su"
    },
    {
      "name": "Kara M. Kockelman"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/85t3kmrr0qr6y.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2611.08748",
  "fulltext_url": null,
  "id": "85t3kmrr0qr6y",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2611.08748",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "stat.AP"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2611.08748",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-05",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/85t3kmrr0qr6y.ris",
  "sources": [
    {
      "first_seen": "2026-11-10T06:21:13Z",
      "native_id": "2611.08748",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2611.08748"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.AP",
      "subfield": "statistics"
    }
  ],
  "title": "Dynamic Smart Charging Through Integrated Agent-based Simulation and Optimization Modeling",
  "title_text": "Dynamic Smart Charging Through Integrated Agent-based Simulation and Optimization Modeling",
  "type": "preprint",
  "updated_at": "2026-11-10T06:21:13Z",
  "url": "https://research.draconitic.com/paper/85t3kmrr0qr6y",
  "venue": "arXiv",
  "versions": []
}