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基于Matlab的高速公路交通流RBF神经网络建模 被引量:6
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作者 王冬丽 吕智林 +1 位作者 何小阳 周彦 《交通与计算机》 2005年第5期22-26,共5页
通过对高速公路宏观动态交通流模型的分析,提出用M atlab神经网络工具箱建立了交通流RBF模型,讨论了RBF网络设计过程中的参数设置,仿真结果表明了RBF模型的有效性。由于M atlab提供的RBF的实现算法具有自适应确定网络结构和无需人为确... 通过对高速公路宏观动态交通流模型的分析,提出用M atlab神经网络工具箱建立了交通流RBF模型,讨论了RBF网络设计过程中的参数设置,仿真结果表明了RBF模型的有效性。由于M atlab提供的RBF的实现算法具有自适应确定网络结构和无需人为确定网络初始权值的优点,因此减少了网络训练的随机性,提高了训练精度。 展开更多
关键词 高速公路交通流模型 MATLAB神经网络工具箱 RBF神经网络
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Traffic Flow States in a Freeway with Bottleneck 被引量:2
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作者 PENG Zi-Hui SUN Gang ZHU Jing-Yi 《Communications in Theoretical Physics》 SCIE CAS CSCD 2009年第1期145-148,共4页
The system of mixture of single lane and double lane is studied by a cellular automata model, which is developed by us based on the Nagel and Schreckenberg's models. We justify that the model can reach a stable state... The system of mixture of single lane and double lane is studied by a cellular automata model, which is developed by us based on the Nagel and Schreckenberg's models. We justify that the model can reach a stable states quickly. The density distributions of the stable state is presented for several cases, which illustrate the manner of the congestion. The relationship between the outflow rate and the total number of vehicles and that between the outflow rate and the density just before the bottleneck are both given. Comparing with the relationship that occurring in the granular flow, we conclude that the transition from the free traffic flow to the congested traffic flow can also be attributed to the abrupt variation through unstable flow state, which can naturally explain the discontinuities and the complex time variation behavior observed in the traffic flow experiments. 展开更多
关键词 granular flow phase transition stochastic process
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