Citation

Finley MD, Mott CR, Balke KN, Charara H, Sturgeon PK, Florence D, Silvestri Dobrovolny C. Transp. Res. Rec. 2019; 2673(4): 59-69.

Copyright

(Copyright © 2019, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

10.1177/0361198119839986

PMID

unavailable

Abstract

The Texas A&M Transportation Institute (TTI) and Southwest Research Institute (SwRI) recently developed connected vehicle (CV) applications that detect wrong-way vehicles, warn wrong-way drivers, notify traffic management agencies and law enforcement, and alert affected travelers. The research team reviewed the state of the practice regarding intelligent transportation systems (ITS) and CV technologies being applied as wrong-way driving (WWD) countermeasures. Next, the research team identified user needs associated with the implementation of CV WWD applications, and developed a concept of operations and functional requirements for CV WWD applications. The research team then built, tested, and successfully conducted a proof-of-concept demonstration of the CV WWD applications at the Texas A&M University RELLIS Campus.

Language: en