As urban traffic congestion is on the increase worldwide, many cities are increasingly looking to inexpensive public transit options such as light rail that operate at street-level and require coordination with conventional traffic networks and signal control. A major concern in light rail installation is whether enough commuters will switch to it to offset the additional constraints it places on traffic signal control and the resulting decrease in conventional vehicle traffic capacity. 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’ key results show that while this MILP approach provides a novel way to optimise fixed-time control schedules subject to light rail constraints, it also enables a novel optimised adaptive signal control method that virtually nullifies the impact of the light rail presence, reducing average delay times in microsimulations by up to 58.7% versus optimal fixed-time control.

中文翻译：

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使用混合整数线性规划减轻轻轨对城市交通网络的影响

随着世界范围内城市交通拥堵的加剧，许多城市都在寻求廉价的公共交通选择，例如在街道一级运行的轻轨，需要与常规交通网络和信号控制相协调。轻轨安装中的一个主要问题是，是否有足够的通勤者会切换到它以抵消它对交通信号灯控制的额外限制，以及由此导致的传统车辆通行能力的下降。在这项研究中，作者研究了这个问题以及通过在混合整数线性规划（MILP）框架中解决的轻轨调度约束条件下优化交通信号控制的新型模型来缓解此问题的方法。