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Comparing methods to optimise vehicle actuated signal control

机译:比较方法以优化车辆致动信号控制

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摘要

Local vehicle actuated control is the most common form of traffic signal control in the Netherlands. An important parameter is the maximum green time. Currently, these parameters are fixed or are specified in a number of sets. In changing traffic conditions it is possible that the set of maximum green times is not fit to cope with these changing conditions. Therefore, methods were developed to deal with this problem and to change these parameters continuously. One of these methods is adaptive control, based on Webster's formulas. Implemented in a real-life intersection it appeared that improvements of 3% to 20% in vehicle delay are possible, compared with normal vehicle actuated control. The simulations support these findings. Moreover, a method to adapt the maximum green times based on evolutionary algorithms is also able to improve the total delay, even more than adaptive control.
机译:在荷兰,本地车辆启动控制是交通信号控制的最常见形式。一个重要的参数是最长的绿灯时间。当前,这些参数是固定的或在多个集合中指定。在不断变化的交通状况下,最大绿灯时间可能不适合应对这些不断变化的状况。因此,开发了处理该问题并连续改变这些参数的方法。这些方法之一是基于Webster公式的自适应控制。在现实生活中的十字路口上实施,与普通的车辆驱动控制相比,可以将车辆延迟时间提高3%到20%。仿真支持了这些发现。此外,一种基于进化算法的最大绿灯时间自适应方法也能够改善总延迟,甚至比自适应控制更有效。

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