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A Signal Control Scheme Optimization Method for K-Shaped Intersections Using Genetic Algorithm

机译:基于遗传算法的K形交叉口信号控制方案优化方法

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Among all types of irregularly shaped intersections, the K-shaped intersection is commonly constructed in many cities in China, especially in old urban areas because of limited geometric design rules during the early period. However, the current situation shows that K-shaped intersections have poor traffic capacities and often lead to congestion and accidents. To improve traffic operation and safety, a genetic algorithm (GA)-based multi-objective timing optimization model is proposed, and a phase sequence optimization method is presented, which is based on conflict analysis and saturation principles for K-shaped intersection. The results show that the signal control scheme optimized by the proposed model and method in this paper increases the capacity of a K-shaped intersection by 32.19% and reduces the average vehicle delay by 10.59% compared to the traditional Webster model. Thus, applying this proposed solution could optimize traffic operations and improve the safety of K-shaped intersections.
机译:在所有类型的不规则形状的交叉路口中,由于早期的几何设计规则有限,在中国许多城市,尤其是在老城区,通常都构造了K形交叉路口。但是,目前的情况表明,K形交叉口的通行能力差,经常导致交通拥堵和事故。为了提高交通运营和安全性,提出了一种基于遗传算法的多目标时间优化模型,并提出了一种基于冲突分析和饱和原理的K形交叉口相序优化方法。结果表明,与传统的韦伯斯特模型相比,本文提出的模型和方法优化的信号控制方案使K形十字路口的通行能力提高了32.19%,平均车辆时延减少了10.59%。因此,应用此建议的解决方案可以优化交通运营并提高K形交叉路口的安全性。

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