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首页> 外文期刊>Journal of Advanced Transportation >Traffic performance of shared lanes at signalized intersections based on cellular automata modeling
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Traffic performance of shared lanes at signalized intersections based on cellular automata modeling

机译:基于元胞自动机建模的信号交叉口共享车道的交通性能

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摘要

Shared lanes at signalized intersections are designed for use by vehicles of different movement directions. Shared lane usage increases the flexibility of assigning lane grouping to accommodate variable traffic volume by direction. However, a shared lane is not always beneficial as it can at time result in blockage that leads to both capacity and safety constraints. This paper establishes a cellular automata model to simulate traffic movements at signalized intersections with shared lanes. Several simulation experiments are carried out both for a single shared lane and for an approach with a shared lane. Simulation of a single shared lane used by straight-through and right-turn (as similar to left-turn in the USA) vehicles suggests that the largest travel delay occurs when traffic volumes (vehicles/lane) of the two movement streams along the shared lane are at about the same level. For a trial lane-group with a shared lane, when traffic volumes of the two movement streams are quite different, the shared lane usage is not efficient in terms of reduction in traffic delay. The simulation results are able to produce the threshold traffic volume to arrange a shared lane along an approach.
机译:信号交叉口的共享车道设计用于不同运动方向的车辆。共享车道使用情况增加了分配车道分组以适应不同方向交通量的灵活性。但是,共享车道并不总是有益的,因为它有时会导致阻塞,从而导致通行能力和安全约束。本文建立了一个元胞自动机模型,以模拟具有共享车道的信号交叉口的交通运动。针对单个共享车道和带有共享车道的方法都执行了几个仿真实验。对直行和右转(与美国的左转类似)车辆使用的单个共享车道的仿真表明,最大的行驶延迟发生在两个运动沿共享车流的交通量(车辆/车道)时车道大约处于同一水平。对于具有共享车道的试验车道组,当两个运动流的交通量完全不同时,就减少交通延迟而言,共享车道的使用效率不高。模拟结果能够产生阈值交通量,以沿进近方向安排一条共享车道。

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