交通信息与安全2011，Vol.29Issue(3)：47-50,4.DOI:10.3963/j.ISSN 1674-4861.2011.03.012
基于BP神经网络的居民出行方式选择模型
A Back-propagation (BP) Neural Network Based Traffic Mode Choice Model
摘要
Abstract
This paper analyzes the related factors affecting resident traffic mode choice and develops a BP neural network based traffic mode choice model based on its strengths in automatically correlating input/output and strong learning capability. The model is verified by 2009 residential travel survey data from City of Jinan. The results show that the model has good prediction accuracy and can be utilized for resident trip traffic mode choice forecast.关键词
居民出行/方式选择/BP神经网络Key words
residential travel/ traffic mode choice/ Back-propagation neural network分类
交通工程引用本文复制引用
殷焕焕,关宏志..基于BP神经网络的居民出行方式选择模型[J].交通信息与安全,2011,29(3):47-50,4.基金项目
国家自然科学基金资助项目(批准号:50978008)、北京市自然科学基金资助项目(批准号:8102007)资助 （批准号:50978008）
