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    Implementation of Automated Traffic Signal Performance Measures

    Implementation of Automated Traffic Signal Performance Measures


    Over the last few decades traffic signal systems have evolved from rigid, fixed-time electromechanical systems to a distributed computing model with sophisticated detection and communication infrastructure. Although modern signal systems are relatively robust, operating continuously for years under all weather conditions, there is a tendency for operational inefficiencies to accumulate over time, as individual components such as detectors fail, or traffic conditions evolve beyond the parameters that the signal control was designed to accommodate. For a number of years, the engineering community has acknowledged opportunities for improvement, such as retiming or investing in new equipment. However, historically, it has been very difficult to comprehensively evaluate changes in signal operations because the cost of data collection constrained the temporal and spatial extent of study.

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    Titel :

    Implementation of Automated Traffic Signal Performance Measures

    Beteiligte:
    Christopher M Day (Autor:in) / Mark Taylor / Jamie Mackey / Rob Clayton / Shital K Patel / Gang Xie / Howell Li / James R Sturdevant / Darcy Bullock
    Erschienen in:

    ITE journal ; 86 , 8

    Erscheinungsdatum :

    2016

    ISSN :

    0148-0170

    Medientyp :

    Aufsatz (Zeitschrift)

    Format :

    Print

    Sprache :

    Englisch

    Schlagwörter :

    Traffic flow , Software , Researchers , Traffic control , Research , Data collection , Communication , Fiber optic networks , Virtual private networks , Sensors , Data compression

    Klassifikation :

    BKL:    55.00 Technik der Verkehrsmittel, Verkehrswesen: Allgemeines
    Lokalklassifikation TIB:    770/7010

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