Green Wave Traffic Optimization - A Survey

Andreas Warberg, Jesper Larsen, Rene Munk Jørgensen

    Research output: Book/ReportReport

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    Abstract

    The objective of this survey is to cover the research in the area of adaptive traffic control with emphasis on the applied optimization methods. The problem of optimizing traffic signals can be viewed in various ways, depending on political, economic and ecological goals. The survey highlights some important conflicts, which support the notion that traffic signal optimization is a multi-objective problem, and relates this to the most common measures of effectiveness. A distinction can be made between classical systems, which operate with a common cycle time, and the more flexible, phase-based, approach, which is shown to be more suitable for adaptive traffic control. To support this claim three adaptive systems, which use alternatives to the classical optimization procedures, are described in detail.
    Original languageEnglish
    PublisherInformatics and Mathematical Modelling
    Publication statusPublished - 2008
    SeriesD T U Compute. Technical Report
    Number2008-01
    ISSN1601-2321

    Cite this

    Warberg, A., Larsen, J., & Jørgensen, R. M. (2008). Green Wave Traffic Optimization - A Survey. Informatics and Mathematical Modelling. D T U Compute. Technical Report, No. 2008-01
    Warberg, Andreas ; Larsen, Jesper ; Jørgensen, Rene Munk. / Green Wave Traffic Optimization - A Survey. Informatics and Mathematical Modelling, 2008. (D T U Compute. Technical Report; No. 2008-01).
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    Warberg, A, Larsen, J & Jørgensen, RM 2008, Green Wave Traffic Optimization - A Survey. D T U Compute. Technical Report, no. 2008-01, Informatics and Mathematical Modelling.

    Green Wave Traffic Optimization - A Survey. / Warberg, Andreas; Larsen, Jesper; Jørgensen, Rene Munk.

    Informatics and Mathematical Modelling, 2008. (D T U Compute. Technical Report; No. 2008-01).

    Research output: Book/ReportReport

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    Warberg A, Larsen J, Jørgensen RM. Green Wave Traffic Optimization - A Survey. Informatics and Mathematical Modelling, 2008. (D T U Compute. Technical Report; No. 2008-01).