NTL Record

Title Efficient and Safe Merging Solutions: Advanced Freeway Merge Assistance Harnessing the Potential of Connected Vehicles
Record ID 61574
Corporate Creator United States. Federal Highway Administration. Exploratory Advanced Research Program
Corporate
Contributor
Virginia Center for Transportation Innovation and Research
Publisher United States. Federal Highway Administration. Exploratory Advanced Research Program
Publication Date 20140400
Language English
Abstract One of the major traffic bottlenecks and safety concerns on today’s busy roads occurs during freeway merges. “Advanced Freeway Merge Assistance: Harnessing the Potential of Connected Vehicles” is an Exploratory Advanced Research (EAR) Program project designed to improve the efficiency and safety of freeway merges using connected vehicle technology. This project was awarded by the Federal Highway Administration (FHWA) in 2009, and was conducted by the University of Virginia Center for Transportation Studies (UVA CTS). Using a previous 2008 study on the ability of connected vehicle technology to improve ramp metering as the starting point for this study, the project developed and evaluated strategic algorithms designed to improve freeway merging. These algorithms were developed specifically to take advantage of the capabilities provided by the system.
Rosap ID dot:39212
Rosap URL https://rosap.ntl.bts.gov/view/dot/39212
TRT Terms Highways; Highway operations; Vehicles and equipment; Traffic control; Algorithms; Merging control; Connected vehicles; Intelligent transportation systems
General Subjects Merge lanes; Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment; I73: Traffic Control; I91: Vehicle Design and Safety
Geographical
Coverage
United States
TRIS Online
Accession No
1522309
Contract Number HRTM-30/02-14(1M)E
Report Number FHWA-HRT-14-045
Availability Federal Highway Administration
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/61000/61500/61574/14045.pdf
Format PDF
Database NTL Digital Repository