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contributor authorYoung-Jae Lee
contributor authorSeyedehsan Dadvar
contributor authorJia Hu
contributor authorByungkyu Brian Park
date accessioned2017-12-30T13:01:45Z
date available2017-12-30T13:01:45Z
date issued2017
identifier otherJTEPBS.0000062.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4244727
description abstractConnected 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 72.4  km/h (45  mi/h) 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.
publisherAmerican Society of Civil Engineers
titleTransit Signal Priority Experiment in a Connected Vehicle Technology Environment
typeJournal Paper
journal volume143
journal issue8
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.0000062
page05017005
treeJournal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 008
contenttypeFulltext


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