Travel Time Prediction by Providing Constraints on a Convolutional Neural Network

Travel Time Prediction by Providing Constraints on a Convolutional Neural Network

Traffic prediction is a complex, nonlinear spatiotemporal modeling problem. Data-based methods have been widely applied to traffic information prediction because of their ability to model the complex, nonlinear spatiotemporal traffic dynamics. These abilities are based on statistical methods and mac...

Full description

Bibliographic Details
Main Authors: Xiangdong Ran, Zhiguang Shan, Yufei Fang, Chuang Lin
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Intelligent transportation systems
neural networks
prediction methods
travel time prediction
Online Access:https://ieeexplore.ieee.org/document/8485796/

Internet

https://ieeexplore.ieee.org/document/8485796/

Similar Items