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Title:

Development and Testing of Connected Vehicle Wrong-Way Driving Applications

Accession Number:

01701796

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/issn/03611981

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.

Report/Paper Numbers:

19-02522

Language:

English

Authors:

Finley, Melisa D
Mott, Cameron R
Balke, Kevin N
Charara, Hassan
Sturgeon, Purser K
Florence, David
Silvestri Dobrovolny, Chiara

Pagination:

pp 59-69

Publication Date:

2019-4

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2673
Issue Number: 4
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Digital/other

Features:

Figures (6) ; References (12)

Identifier Terms:

Texas A&M University

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment

Files:

TRIS, TRB, ATRI

Created Date:

Mar 8 2019 10:28AM