Daily long-term traffic flow forecasting based on a deep neural network

作者：

Highlights：

• A new deep learning algorithm to predict daily long-term traffic flow data using contextual factors.

• Deep neutral network to mine the relationship between traffic flow data and contextual factors.

• Advanced batch training can effectively improve convergence of the training process.

摘要

•A new deep learning algorithm to predict daily long-term traffic flow data using contextual factors.•Deep neutral network to mine the relationship between traffic flow data and contextual factors.•Advanced batch training can effectively improve convergence of the training process.

论文关键词：Daily long-term traffic flow,Forecasting,Deep neural network,Contextual factor,Batch training

论文评审过程：Received 26 June 2018, Accepted 18 December 2018, Available online 21 December 2018, Version of Record 24 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.031