Sparse Data-Based Urban Road Travel Speed Prediction Using Probabilistic Principal Component Analysis

Sparse Data-Based Urban Road Travel Speed Prediction Using Probabilistic Principal Component Analysis

In this paper, we propose a data-driven model for predicting the travel speed of urban roads, based on GPS trajectories of vehicles. Though this is a strategically important task in many traffic monitoring systems, the problem has not yet been well-solved given the following two challenges. The firs...

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Bibliographic Details
Main Authors: Liping Huang, Yongjian Yang, Xuehua Zhao, Chuang Ma, Hepeng Gao
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Probabilistic principal component analysis
spectral clustering
sparse data
urban road network
travel speed prediction
Online Access:https://ieeexplore.ieee.org/document/8429895/

Internet

https://ieeexplore.ieee.org/document/8429895/

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