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Study on Offset of Arterial Traffic Control Based on Satisfaction Degree

机译:基于满意度的交通管制失调研究

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By analyzing the previous offset optimization models and algorithms for arterial control systems, the paper provides a new offset optimization model and a relevant algorithm based on satisfaction degree. At first, by utilizing the Bayes Dynamic Model and its forecast algorithm, we get the travel velocity of road section and its distribution parameters. Secondly, by analyzing the relationships between travel velocity and offset of arterial control systems, we obtain optimal control scheme on the basis of multi-attribute decision making methods about satisfaction degree. The parameters, such as travel time, delay and average queue length etc., are considered mainly in the process of decision making. Finally, an example is given to verify the validity of the model and the algorithm.
机译:通过分析以往的动脉控制系统失调优化模型和算法,提出了一种基于满意度的失调优化模型和相关算法。首先,利用贝叶斯动力学模型及其预测算法,得出路段的行进速度及其分布参数。其次,通过分析行进速度与动脉控制系统偏移量之间的关系,在关于满意度的多属性决策方法的基础上,获得最优控制方案。主要在决策过程中考虑诸如旅行时间,延迟和平均队列长度等参数。最后,给出一个例子验证模型和算法的有效性。

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