Suchergebnisse - "mixed integer linear programming framework"

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    Mitigating the impact of light rail on urban traffic networks using mixed-integer linear programming von Guilliard, Iain, Trevizan, Felipe, Sanner, Scott

    ISSN: 1751-956X, 1751-9578
    Veröffentlicht: The Institution of Engineering and Technology 01.06.2020
    Veröffentlicht in IET intelligent transport systems (01.06.2020)
    “… In this study, the authors study this problem and ways to mitigate it through a novel model of optimised traffic signal control subject to light rail schedule constraints solved in a mixed-integer linear programming (MILP) framework. The authors …”
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