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    Evaluation of Actuated, Coordinated, and Adaptive Signal Control Systems: A Case Study

    Source: Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 009
    Author:
    Irene Chia
    ,
    Xinkai Wu
    ,
    Sawanpreet Singh Dhaliwal
    ,
    John Thai
    ,
    Xudong Jia
    DOI: 10.1061/JTEPBS.0000068
    Publisher: American Society of Civil Engineers
    Abstract: As urban traffic congestion grows, traffic engineers must find ways to maximize the efficiency of traffic signal control. Different control strategies, including actuated, coordinated, and adaptive, have their own strengths and weaknesses; therefore, it is necessary to comprehensively evaluate these control modes to understand which strategy is most appropriate for users. This research carries out a case study to evaluate the adaptive performance of Adaptive Control Software Lite (ACS-Lite) versus conventional coordinated-actuated and fully actuated, noncoordinated control. The test was done along two congested arterials around Disneyland in Anaheim, California. The results indicated that adaptive control did not perform as well as the well-calibrated and finely-tuned time-of-day coordination. These results also indicated that for this type of congested network, the adaptive signal control is best suited to improving the efficiency when traffic demand is unpredictable, variable, and in low volume. During peak hours, when traffic demand was high and predictable, conventional coordinated time-of-day plans performed better. Future research could aim to improve adaptive control by adopting more coordinated features and utilizing high-resolution data to improve the overall efficiency.
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      Evaluation of Actuated, Coordinated, and Adaptive Signal Control Systems: A Case Study

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    contributor authorIrene Chia
    contributor authorXinkai Wu
    contributor authorSawanpreet Singh Dhaliwal
    contributor authorJohn Thai
    contributor authorXudong Jia
    date accessioned2017-12-16T09:03:44Z
    date available2017-12-16T09:03:44Z
    date issued2017
    identifier otherJTEPBS.0000068.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4238040
    description abstractAs urban traffic congestion grows, traffic engineers must find ways to maximize the efficiency of traffic signal control. Different control strategies, including actuated, coordinated, and adaptive, have their own strengths and weaknesses; therefore, it is necessary to comprehensively evaluate these control modes to understand which strategy is most appropriate for users. This research carries out a case study to evaluate the adaptive performance of Adaptive Control Software Lite (ACS-Lite) versus conventional coordinated-actuated and fully actuated, noncoordinated control. The test was done along two congested arterials around Disneyland in Anaheim, California. The results indicated that adaptive control did not perform as well as the well-calibrated and finely-tuned time-of-day coordination. These results also indicated that for this type of congested network, the adaptive signal control is best suited to improving the efficiency when traffic demand is unpredictable, variable, and in low volume. During peak hours, when traffic demand was high and predictable, conventional coordinated time-of-day plans performed better. Future research could aim to improve adaptive control by adopting more coordinated features and utilizing high-resolution data to improve the overall efficiency.
    publisherAmerican Society of Civil Engineers
    titleEvaluation of Actuated, Coordinated, and Adaptive Signal Control Systems: A Case Study
    typeJournal Paper
    journal volume143
    journal issue9
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000068
    treeJournal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 009
    contenttypeFulltext
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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