Short-Time Traffic State Forecasting Using Adaptive Neighborhood Selection Based on Expansion Strategy

Short-Time Traffic State Forecasting Using Adaptive Neighborhood Selection Based on Expansion Strategy

Short-term traffic state forecasting is critical for real-time traffic control, but due to its complexity and its nonlinear nature, it is difficult to obtain a high degree of precision. The “k-nearest neighbors”model has been widely used to solve nonlinear regression and time s...

Full description

Bibliographic Details
Main Authors: Ziyi Su, Qingchao Liu, Jian Lu, Yingfeng Cai, Haobin Jiang, Lukuman Wahab
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Spatiotemporal features
similarity
traffic state
neighborhood selection
prediction
Online Access:https://ieeexplore.ieee.org/document/8451875/

Internet

https://ieeexplore.ieee.org/document/8451875/

Similar Items