Travel Mode Choice of Residents in Spring Festival Based on Neural Network

摘要

The current research of travel mode choice of residents focused on internal transport and urban transport mode choice, most research focused on the design of disaggregate model. As a Chinese special phenomenon of transport, the "Spring Festival Transportation" affects millions of people's quality of life. Qualitative research on travel mode choice of residents during the Spring Festival is used to determine the impact factors of travel mode choice of the relevant. The neural network model can identify non-linear and linear indicators, so we establish the prediction model for Spring Festival travel mode choice of residents based on Elman network. Finally, verification of the actual survey data shows that this model has some validity and practicability to provide advice for the Spring Festival transportation resources.