A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting

A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting

Short-term traffic forecasting plays an important part in intelligent transportation systems. Spatiotemporal k-nearest neighbor models (ST-KNNs) have been widely adopted for short-term traffic forecasting in which spatiotemporal matrices are constructed to describe traffic conditions. The performanc...

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Bibliographic Details
Main Authors: Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
short-term traffic forecasting
spatiotemporal k-nearest neighbor model
spatiotemporal dependencies
multi-view based learning
traffic patterns
Online Access:http://www.mdpi.com/2220-9964/7/6/218

Internet

http://www.mdpi.com/2220-9964/7/6/218

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