{
  "abstract": "This research introduces a novel driving risk assessment framework for urban tunnel environments, founded upon the physical principles of field theory. The framework conceptualizes three distinct but interacting fields: the kinetic energy field, behavioral field, and potential energy field. The study subsequently elucidates the evolutionary dynamics of the driving risk field, which is precipitated by the presence of neighboring vehicles, individual driving behavior patterns, and alterations in the roadway environment. A comprehensive driving risk field model for urban tunnels was constructed, and the variation patterns of the driving risk field forces acting on vehicles were examined. The results indicate the magnitude of the driving risk field force is inversely proportional to inter-vehicle spacing and the distance to the tunnel sidewall, while directly proportional to the relative speed between vehicles and the longitudinal slope gradient. Under identical conditions, the driving risk field force acting on vehicles at tunnel entrances and exits is greater than inside the tunnel, and the influence of speed on the risk field force exceeds that of distance. The proposed model effectively describes the variation trends of driving risks during vehicle travel in urban tunnels, and the outcomes of this research contribute to laying a theoretical groundwork for optimizing the planning, design, and management protocols of urban tunnels.",
  "abstract_shown": true,
  "affiliations": [
    "Jiangsu Vocational College of Electronics and Information, Huaian, China",
    "Jiangsu Provincial Department of Industry and Information Technology, Nanjing, China"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Song Fang"
    },
    {
      "affs": [
        1
      ],
      "name": "Wenting Lu"
    },
    {
      "name": "Baoliang Wang"
    },
    {
      "name": "Ting Yang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/48hy5hxzm5rwv.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0345766",
  "fulltext_url": null,
  "id": "48hy5hxzm5rwv",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0345766",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2213|Traffic and Road Safety"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Behavior"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Terrestrial environments/Urban environments"
    ],
    [
      "plos",
      "/Engineering and technology/Civil engineering/Transportation infrastructure/Roads"
    ],
    [
      "plos",
      "/Engineering and technology/Transportation/Transportation infrastructure/Roads"
    ],
    [
      "plos",
      "/Medicine and health sciences/Epidemiology/Medical risk factors"
    ],
    [
      "plos",
      "/Medicine and health sciences/Epidemiology/Medical risk factors/Traumatic injury risk factors/Road traffic collisions"
    ],
    [
      "plos",
      "/Medicine and health sciences/Public and occupational health/Safety/Traffic safety"
    ],
    [
      "plos",
      "/Medicine and health sciences/Public and occupational health/Traumatic injury risk factors/Road traffic collisions"
    ],
    [
      "plos",
      "/Physical sciences/Physics/Classical mechanics/Potential energy"
    ],
    [
      "plos",
      "/Research and analysis methods/Research assessment"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Behavior"
    ]
  ],
  "openalex": "W7221153840",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0345766&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-09",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/48hy5hxzm5rwv.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:30Z",
      "native_id": "10.1371/journal.pone.0345766",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0345766"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "plos:epidemiology",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Research on a driving risk model for urban tunnel",
  "title_text": "Research on a driving risk model for urban tunnel",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:30Z",
  "url": "https://research.draconitic.com/paper/48hy5hxzm5rwv",
  "venue": "PLOS One",
  "versions": []
}