A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting

A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting

An input vector composed of various features plays an important role in short-term traffic forecasting. However, there is limited research on the optimal feature selection of an input vector for a certain forecasting task. To fill the gap, this paper proposes a cohesion-based heuristic feature selec...

Full description

Bibliographic Details
Main Authors: Lishan Liu, Ning Jia, Lei Lin, Zhengbing He
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Traffic flow
short-term forecasting
optimal feature selection
input vector
Online Access:https://ieeexplore.ieee.org/document/8588993/

Internet

https://ieeexplore.ieee.org/document/8588993/

Similar Items