We use tensor pattern to fully cover the spatial–temporal correlation of corridor freeway traffic volume.

Various tensor patterns are tested on the traffic volume data collected from PeMS open database.

We suggest that the tensor based method with spatial correlation achieves better performance than that without spatial information.

The experimental results show that the proposed method can address the extreme case where the data of a long period of one or several weeks are completely missing.