Octree-based point cloud simulation to assess the readiness of highway infrastructure for autonomous vehicles

It is expected that autonomous vehicles (AVs) can improve traffic operations and safety. Since current road infrastructure is designed for the needs of human drivers, it must be reassessed for compatibility with AV driving. This paper proposes a simulation method, using 3-dimensional point cloud data, for assessing the readiness of highways for AV traffic. The method uses octrees to perform volumetric searches for obstructions within the sensory field of an AV, and the method is compared to ray casting. Sight distances and maximum safe speed limits based on road and AV characteristics are proposed. The paper includes a discussion of possible mitigation measures for locations with limited sight distances is.

• Record URL:
  https://doi.org/10.1111/mice.12643
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10939687
• Authors:
  • Gouda, Maged
  • Mirza, Jehanzeb
  • Weiß, Jonas
  • Ribeiro Castro, Augusto
  • El-Basyouny, Karim
• Publication Date: 2021-7

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Maps; References; Tables;
• Pagination: pp 922-940
• Serial:
  • Computer-Aided Civil and Infrastructure Engineering
  • Volume: 36
  • Issue Number: 7
  • Publisher: Blackwell Publishing
  • ISSN: 1093-9687
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8667

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Cloud computing; Data analysis; Highways; Infrastructure; Sight distance; Simulation; Speed limits; Traffic safety; Trees (Mathematics)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01777004
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 23 2021 3:23PM