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A Harmony Search Algorithm approach for optimizing traffic signal timings

机译:用于优化交通信号定时的和声搜索算法

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摘要

In this study, a bi-level formulation is presented for solving the Equilibrium Network Design Problem (ENDP). The optimisation of the signal timing has been carried out at the upper-level using the Harmony Search Algorithm (HSA), whilst the traffic assignment has been carried out through the Path Flow Estimator (PFE) at the lower level. The results of HSA have been first compared with those obtained using the Genetic Algorithm, and the Hill Climbing on a two-junction network for a fixed set of link flows. Secondly, the HSA with PFE has been applied to the medium-sized network to show the applicability of the proposed algorithm in solving the ENDP. Additionally, in order to test the sensitivity of perceived travel time error, we have used the HSA with PFE with various level of perceived travel time. The results showed that the proposed method is quite simple and efficient in solving the ENDP.
机译:在本研究中,提出了用于解决平衡网络设计问题(ENDP)的双层公式。信号时序的优化已在上层使用Harmony Search Algorithm(HSA)进行,而流量分配已通过下层的Path Flow Estimator(PFE)进行。首先将HSA的结果与使用遗传算法获得的结果进行比较,然后将两结点网络上的Hill Climbing应用于一组固定的链路流。其次,将带有PFE的HSA应用于中型网络,以证明该算法在解决ENDP方面的适用性。此外,为了测试感知行进时间误差的敏感性,我们将HSA与PFE结合使用了各种水平的感知行进时间。结果表明,该方法在求解ENDP时非常简单有效。

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