Reading Vehicular Messages from Smart Road Signs: A Novel Method to Support Vehicle-to-Infrastructure in Rural Settings

Vehicle-to-infrastructure (V2I) communication is essential for reliable deployment of connected automated vehicle technology, contributing to the advanced safety and optimization of our transportation networks. However, supplying and maintaining necessary wireless infrastructure is a challenging task, particularly when it comes to rural areas. This study proposes a novel methodology that uses artificial intelligence, machine vision, and smart traffic signs to support V2I in areas where availability of wireless communication infrastructure is limited. The objective of this paper is to investigate the operational challenges of the proposed low-cost solution in different V2I applications, including a MapData message in an unsignalized traffic intersection, traveler information message in a work zone, and a red-light violation warning with the help of a smart sign. The proposed system showed some important advantages, such as invulnerability to third-party alterations and robust operation under harsh environmental conditions.

• Record URL:
  https://doi.org/10.1177/03611981211026650
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • Enes Karaaslan https://orcid.org/0000-0003-2417-5967 © National Academy of Sciences: Transportation Research Board 2021.
• Authors:
  • Karaaslan, Enes
  • 0000-0003-2417-5967
  • Sen, Burak
  • 0000-0003-2454-9287
  • Ercan, Tolga
  • 0000-0001-7074-4628
  • Laman, Haluk
  • 0000-0003-0884-610X
  • Pol, James
• Publication Date: 2021-11

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 150-158
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2675
  • Issue Number: 11
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Artificial intelligence; Autonomous vehicles; Cameras; Connected vehicles; Machine vision; Rural areas; Traffic signs; Vehicle electronics; Vehicle to infrastructure communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01763959
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-03585
• Files: TRIS, TRB, ATRI
• Created Date: Feb 4 2021 10:57AM