小世界模型为研究城市道路网络的拓扑结构和内在特征等提供了新的视角和方法。
Small world model provides a new aspect and method for exploring the topological structure and intrinsic characters of urban road network.
将灰色物元评价方法应用于城市道路交叉系统评价，分析了城市道路交叉系统的影响因素，建立了城市道路交叉系统评价的灰色物元评价模型。
By applying the grey matter-element evaluation method to the city road cross system, this paper analyses the influence factors of the system and constructs its grey matter-element evaluation model.
基于此，本文提出了基于集成神经网络的城市道路交通流量的融合预测模型。
Accordingly, this paper proposes a fusion-prediction model of traffic-flow in urban road-intersection based on integrated ANN (Artificial Neural Network).
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