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首页> 外文期刊>Journal of Advanced Transportation >Increasing the capacity of signalized intersections by allocating exit lanes to turning movements
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Increasing the capacity of signalized intersections by allocating exit lanes to turning movements

机译:通过将出口车道分配给转弯运动来增加信号交叉口的通行能力

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摘要

Unconventional intersection designs have been used to increase the capacity of intersections that are over-saturated under conventional ones. However, existing unconventional designs typically require extra land space and their effectiveness often depends on drivers' familiarity with the uncommon operating rules. To overcome these challenges, we propose a new unconventional design, where movements that are mutually incompatible under the conventional design can be made compatible of each other by allocating exit lanes to them appropriately, thereby creating opportunities for capacity improvement. We develop a lane-based capacity optimization model that incorporates the allocation of exit lanes as decision variables. The model is formulated as a Binary Mixed Integer Linear Programming problem, which can be efficiently solved by standard branch-and-bound algorithms. Numerical experiments show that significant capacity improvement can be obtained under our design. Besides proposing a new unconventional design, we also contribute to the literature of lane-based signal optimization methods by providing a novel linear formulation for the latest, yet nonlinear, model described in Wong and Heydecker [Transportation Research Part B 45(4): 667-681]. This improvement is methodologically beneficial as linear models are computationally more convenient than nonlinear ones. Copyright (C) 2017 John Wiley & Sons, Ltd.
机译:非常规的交叉路口设计已被用于增加在常规交叉路口过饱和的交叉路口的通行能力。但是,现有的非常规设计通常需要额外的土地空间,其有效性通常取决于驾驶员对非常规操作规则的熟悉程度。为了克服这些挑战,我们提出了一种新的非常规设计,在常规设计下相互不兼容的机芯可以通过适当地为其分配出口车道而使其相互兼容,从而为提高能力创造机会。我们开发了基于车道的容量优化模型,该模型将出口车道的分配纳入决策变量。该模型被公式化为二进制混合整数线性规划问题,可以通过标准的分支定界算法有效地解决该问题。数值实验表明,在我们的设计下可以显着提高容量。除了提出新的非常规设计之外,我们还为Wong和Heydecker [运输研究B部分45(4):667]中描述的最新但非线性模型提供了新颖的线性公式,从而为基于车道的信号优化方法的文献做出了贡献。 -681]。这种改进在方法上是有益的,因为线性模型在计算上比非线性模型更方便。版权所有(C)2017 John Wiley&Sons,Ltd.

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