Intelligent Transit Signal Priority
Existing transit signal priority strategies rely on either extending existing green or early return to green to accommodate buses. However, field experience has shown that buses are not always able to make the green times provided by either extended green or early return to green, causing additional delays to general vehicular traffic. This is, in part, because of inaccuracy in bus arrival time estimation due to unexpected heavy queues. In addition, it has been also reported that transit signal priority (TSP) often causes disruptions in traffic signal progression along the major corridor if improperly implemented. The main purpose of this project is to investigate the status of transit signal priority in Virginia, and to explore opportunities to improve TSP through connected vehicle technology.
Language
- English
Project
- Status: Active
- Funding: $60000.00
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Contract Numbers:
DTRT12-G-UTC03
140735-B
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Sponsor Organizations:
Mid-Atlantic Universities Transportation Center
Pennsylvania State University
201 Transportation Research Building
University Park, PA United States 16802-4710 -
Performing Organizations:
University of Virginia, Charlottesville
Center for Transportation Studies
P.O. Box 400742, Thornton Hall, D228
Charlottesville, VA United States 22903 -
Principal Investigators:
Park, B
- Start Date: 20120601
- Expected Completion Date: 0
- Actual Completion Date: 20130531
- Source Data: RiP Project 33483
Subject/Index Terms
- TRT Terms: Buses; Green interval (Traffic signal cycle); Intelligent transportation systems; Queuing; Traffic delays; Traffic signal priority; Vehicle to infrastructure communications
- Geographic Terms: Virginia
- Subject Areas: Operations and Traffic Management; Public Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01470887
- Record Type: Research project
- Source Agency: Mid-Atlantic Universities Transportation Center
- Contract Numbers: DTRT12-G-UTC03, 140735-B
- Files: UTC, RiP
- Created Date: Jan 30 2013 1:00AM