Comparing methods to optimise vehicle actuated signal control
Comparing methods to optimise vehicle actuated signal control
复制标题
优化车辆驱动信号控制的方法比较
DOI：
10.1049/cp:20020216
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
H. Taale
中科院分区：
文献类型：
--
作者：
H. Taale
本地车辆驱动控制是荷兰最常见的交通信号控制形式。一个重要的参数是最大绿色时间。目前，这些参数是固定的，或在若干套中加以规定。在变化的交通条件下，最大绿色时间的集合可能不适合于科普这些变化的条件。因此，开发了处理这个问题并连续改变这些参数的方法。这些方法之一是基于韦伯斯特公式的自适应控制。在一个现实生活中的交叉口实施，它出现了3%至20%的改善车辆延误是可能的，与正常的车辆驱动控制相比。模拟支持这些发现。此外，基于进化算法的最大绿色次数自适应控制方法也能够改善总延误，甚至超过自适应控制。
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.