Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal Correlations

Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal Correlations

The prediction of travel times is challenging because of the sparseness of real-time traffic data and the intrinsic uncertainty of travel on congested urban road networks. We propose a new gradient–boosted regression tree method to accurately predict travel times. This model accounts for spatiotempo...

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Bibliographic Details
Main Authors: Faming Zhang, Xinyan Zhu, Tao Hu, Wei Guo, Chen Chen, Lingjia Liu
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
urban link travel time prediction
spatiotemporal correlations
spatiotemporal gradient–boosted regression tree model
big data
Online Access:http://www.mdpi.com/2220-9964/5/11/201

Internet

http://www.mdpi.com/2220-9964/5/11/201

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