TY  - JOUR
PY  - 2019//
TI  - Development and testing of connected vehicle wrong-way driving applications
JO  - Transportation research record
A1  - Finley, Melisa D.
A1  - Mott, Cameron R.
A1  - Balke, Kevin N.
A1  - Charara, Hassan
A1  - Sturgeon, Purser K.
A1  - Florence, David
A1  - Silvestri Dobrovolny, Chiara
SP  - 59
EP  - 69
VL  - 2673
IS  - 4
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.1177/0361198119839986
ID  - ref1
ER  -