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Optimal signal control for pre-timed signalized junctions with uncertain traffic: Simulation based optimization approach

机译:具有不确定交通量的预定时信号交叉口的最佳信号控制:基于仿真的优化方法

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Pre-timed signalized junctions are prevalent in real world as they are inexpensive and easy to implement. Traffic flow in these junctions exhibit large variations even for the same time interval of the day. Hence, robust signal timings, those are less sensitive to uncertain traffic flow are desired. The existing signal control models for pre-timed junctions use min-max approach for robust signal control when the ranges of traffic flow are known. The limitation of these models are: (i) the optimality of solution is not guaranteed, and (ii) not scalable for larger ranges of traffic flow due to long computational times. In this work, we propose a simulation based optimization approach which overcomes these limitations. Simulation results show that our work performs better than the existing models for both under-saturated and over-saturated traffic flows. Also, the computational time taken by our approach is significantly less.
机译:预定时的信号连接在现实世界中很普遍,因为它们价格便宜且易于实现。即使在一天中的同一时间间隔,这些路口的交通流量也显示出较大的变化。因此,需要鲁棒的信号定时,那些对不确定的业务流不太敏感的信号定时。当交通流的范围已知时,用于预定时路口的现有信号控制模型使用最小-最大方法进行鲁棒的信号控制。这些模型的局限性是:(i)不能保证解决方案的最优性,并且(ii)由于计算时间长,无法在更大范围的交通流量中扩展。在这项工作中,我们提出了一种基于仿真的优化方法,可以克服这些限制。仿真结果表明,对于饱和流量和饱和流量,我们的工作都比现有模型表现更好。而且,我们的方法所花费的计算时间明显更少。

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    《Winter Simulation Conference》|2015年|3168-3169|共2页
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