仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
设计了一种针对单交叉口的新的多相位模糊交通控制算法。
We design a novel multi-phase fuzzy traffic control arithmetic for single intersection.
本文应用模糊控制原理，设计了一种考虑车辆等待长度的单交叉口多相位交通自适应控制策略。
In this paper we present a multi-phase traffic light control strategy based on the length of the waiting queue according to fuzzy control theory.
设计了城市单交叉路口优化控制器。
Optimization controller for single intersection is designed.
例如，用户可以通过单击、拖动、使用修改键拖动、键盘或菜单交互等方式与设计图面交互。
For example, users might interact with the design surface by way of clicks, drags, drags with modifier keys, keyboard, or menu interaction.
本文通过实现所设计的简单交通网格协同模型，验证了把计算经济机制应用于交通网格资源管理的可行性。
This paper devises a simple cooperative model for Transportation Grid and validates the feasibility of introducing Computational Economy into the resource management for Transportation Grid.
本文通过实现所设计的简单交通网格协同模型，验证了把计算经济机制应用于交通网格资源管理的可行性。
This paper devises a simple cooperative model for Transportation Grid and validates the feasibility of introducing Computational Economy into the resource management for Transportation Grid.
应用推荐