Traffic risk environment impact analysis and complexity assessment of autonomous vehicles based on the potential field method

• Record URL:
  https://doi.org/10.3390/ijerph191610337
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/16617827
• Authors:
  • Cheng, Y
  • Liu, Zhong
  • Gao, L
  • Zhao, Yong
  • Gao, T
• Publication Date: 2022

Language

• English

Media Info

• Pagination: Article ID 10337
• Serial:
  • International Journal of Environmental Research and Public Health
  • Volume: 19
  • Issue Number: 16
  • Publisher: Molecular Diversity Preservation International
  • ISSN: 1661-7827
  • EISSN: 1660-4601
  • Serial URL: http://www.mdpi.com/journal/ijerph
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automated vehicle control; Environment; Highway safety; Risk assessment; Traffic surveillance
• ATRI Terms: Autonomous vehicle; Detection; Risk assessment; Road environment; Road safety
• Subject Areas: Environment;

Filing Info

• Accession Number: 01860613
• Record Type: Publication
• Source Agency: ARRB Group Limited
• Files: ATRI
• Created Date: Oct 6 2022 1:48PM