论文标题
基于蜂窝自动机的工作区域车辆排队行为的研究
Research on work zone vehicle queuing behavior based on cellular automata
论文作者
论文摘要
提出了一个模型来估计工作区队列长度，并将基于经验数据的蜂窝自动机用于模型验证。该估计模型可以应用于工作区组织和管理，以提高工作区的能力和安全性。可以找到平均队列长度和警告区长度之间的关系，并且可以根据设计流量确定适当的警告区长度。此外，通过估计模型可以找到不同设计流下的适当的工作区域改变的策略。
A model is proposed to estimate the work zone queue length, and the cellular automata based on empirical data is used for model validation. This estimation model can be applied to work zone organization and management to improve work zone capacity and security. Relationship between the average queue length and the warning zone length can be found, and the appropriate warning zone length can be determined according to design flow. Moreover, the appropriate work zone lane-changing strategies under different design flows are found through the estimation model.
