摘要
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。
A new model for predicting short?term bus line passenger flow based on the theory of adaptive neural?fuzzy inference system (ANFIS) has been raised in this paper. Test results from this fuzzy neural model have showed better adaptability and fitness than results from AR, and ARMA, which best satisfies practical operation needs from public transit enterprise.
出处
《公路交通科技》
CAS
CSCD
北大核心
2000年第4期38-40,46,共4页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金重点资助项目! ( 5983831 0 )
