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    Transit Signal Priority Experiment in a Connected Vehicle Technology Environment

    Source: Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 008
    Author:
    Young-Jae Lee
    ,
    Seyedehsan Dadvar
    ,
    Jia Hu
    ,
    Byungkyu Brian Park
    DOI: 10.1061/JTEPBS.0000062
    Publisher: American Society of Civil Engineers
    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 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.
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      Transit Signal Priority Experiment in a Connected Vehicle Technology Environment

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4244727
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    • Journal of Transportation Engineering, Part A: Systems

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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
    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian