摘要
以个体出行模式作为研究对象,利用出行的GPS数据,建立用于个体出行模式识别的BP神经网络计算模型。并实测了公交和出租2种个体出行模式的识别效果,结果验证了建立的BP神经网络的有效性和实用性,为出行模式的选择预测提供了新的思路。
This paper mainly studies individual travel mode. BP neural network computing model for individual travel mode detection was built based on individual travel GPS data. The validity and practicality of the established BP neural network is verified through taxi and bus mode detection. It provides a new idea for predicting travel mode options.
出处
《公路工程》
北大核心
2014年第5期304-306,323,共4页
Highway Engineering
