This is a project providing source codes (including Matlab and Python) for presenting experiment results.
It is not necessary to open each file in this repository because you can follow this readme document to find your needs.
- Download
and evaluate these in Matlab, then, you will see the following picture:
and evaluate these in Matlab, then, you will see the following pictures:
- Download
and evaluate these in Matlab, then, you will see the following picture:
- Download
and evaluate these in Matlab, then, you will see the following pictures:
- Download
and evaluate these in Matlab, then, you will see the following picture:
- Download
and evaluate these in Matlab, then, you will see the following picture:
and evaluate these in Python, then, you will see the following pictures:
- Download
and evaluate these in Matlab, then, you will see the following picture:
and evaluate these in Matlab, then, you will see the following picture:
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Xinyu Chen, Zhaocheng He, Jiawei Wang, 2018. Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition. Transportation Research Part C: Emerging Technologies, 86: 59-77.
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Xinyu Chen, Zhaocheng He, Lijun Sun, 2019. A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation. Transportation Research Part C: Emerging Technologies, 98: 73-84. [Matlab code]
Please consider citing our papers if they help your research.