Transit Signal Priority Experiment in a Connected Vehicle Technology Environment
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 143, Issue 8
Abstract
Connected vehicle (CV) technology allows developing next-generation transit signal priority (TSP) that is based on cooperation between signals (change signal timing) and buses (alter speed). In this study, a CV-based TSP that was previously developed and evaluated through a computer simulation was tested in the field. The field experiment at the Smart Road testbed at the Virginia Tech Transportation Institute (Blacksburg, Virginia) validated the feasibility of CV-based TSP and evaluated its performance. The proposed TSP algorithm properly delivered TSP green times to buses with a 100% success rate. In addition, it reduced delays—between 32 and 75%—for a bus traveling approximately () and a traffic signal with a 90-s cycle length with 30-s green time. Moreover, the field experiment showed that regular and differential global positioning system (GPS) devices demonstrate no statistically significant difference in performance. This finding could facilitate large-scale implementation of the TSP logic based on connected vehicle technology (TSPCV) because the regular GPS devices are readily available and much cheaper than differential GPS devices.
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Acknowledgments
This research was in part supported by the Connected Vehicle/Infrastructure University Transportation Center, and the GRL Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2013K1A1A2A02078326). The research team appreciates Melissa Hulse, Leslie Harwood, Gabrielle Laskey, Tammy Russel, Andy Peterson, Jean Paul Talledo Vilela, and Zac Doerzaph at the Virginia Tech Transportation Institute and Andrew Farkas, Anita Jones, and Nancy Jackson at the National Transportation Center at Morgan State University for their support. The research team also appreciates Kaveh Bakhsh Kelarestaghi for the data collection.
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Information & Authors
Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Apr 27, 2016
Accepted: Feb 1, 2017
Published online: May 3, 2017
Published in print: Aug 1, 2017
Discussion open until: Oct 3, 2017
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