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提出一种基于模糊神经网络理论的公交线路客流预测模型。实验比较发现 ,该模型具有较强的自适应性 ,其预测结果优于常规时间序列模型AR、ARMA得到的预测结果。该模型适用于公交企业运营调度管理的需要。
This paper proposes a bus passenger flow prediction model based on fuzzy neural network theory. The experimental results show that the proposed model is more adaptive and its prediction result is better than that of the conventional time series AR and ARMA. This model is suitable for the management of public transportation enterprises.