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A robust optimization approach for dynamic traffic signal control with emission considerations

机译:考虑排放的动态交通信号控制的鲁棒优化方法

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We consider an analytical signal control problem on a signalized network whose traffic flow dynamic is described by the Lighthill-Whitham-Richards (LWR) model (Lighthill and Whitham, 1955; Richards, 1956). This problem explicitly addresses traffic-derived emissions as constraints or objectives. We seek to tackle this problem using a mixed integer mathematical programming approach. Such class of problems, which we call LWR-Emission (LWR-E), has been analyzed before to certain extent. Since mixed integer programs are practically efficient to solve in many cases (Bertsimas et al., 2011b), the mere fact of having integer variables is not the most significant challenge to solving LWR-E problems; rather, it is the presence of the potentially nonlinear and nonconvex emission-related constraints/objectives that render the program computationally expensive.
机译:我们考虑一个信号网络上的解析信号控制问题,该网络的流量动态由Lighthill-Whitham-Richards(LWR)模型描述(Lighthill和Whitham,1955年; Richards,1956年)。该问题明确地将交通流量排放作为约束或目标。我们寻求使用混合整数数学编程方法来解决此问题。这类问题,我们称为LWR-Emission(LWR-E),已经在一定程度上进行了分析。由于混合整数程序在许多情况下都非常有效(Bertsimas等人,2011b),因此仅具有整数变量的事实并不是解决LWR-E问题的最大挑战。相反,潜在的非线性和非凸出的发射相关约束/目标的存在使程序在计算上变得昂贵。

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