01763959

Component

https://doi.org/10.1177/03611981211026650

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.

Enes Karaaslan https://orcid.org/0000-0003-2417-5967 © National Academy of Sciences: Transportation Research Board 2021.

TRBAM-21-03585

English

0000-0003-2417-5967

0000-0003-2454-9287

0000-0001-7074-4628

0000-0003-0884-610X

pp 150-158

2021-11

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

Figures; Photos; References (29) ; Tables

Artificial intelligence; Autonomous vehicles; Cameras; Connected vehicles; Machine vision; Rural areas; Traffic signs; Vehicle electronics; Vehicle to infrastructure communications

Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment

TRIS, TRB, ATRI

Dec 23 2020 11:16AM