TY - GEN
T1 - High-Dimension Traffic Data Imputation Based on a Square Norm
AU - Tan, Huachun
AU - Wang, Pengye
AU - Wu, Yuankai
AU - Zhang, Jian
AU - Ran, Bin
N1 - Publisher Copyright:
© 2016 ASCE.
PY - 2016
Y1 - 2016
N2 - Traffic data is often missing or incomplete. Recently, it has been constructed into a tensor model and its missing data can be completed from a subset of its observed entries to fully express the multi-modal properties of traffic data. However, with the dimension of the data becoming higher, the completing speed, and accuracy usually decreases rapidly. To solve this problem, in this paper, we introduce a square-norm model for tensor completion, which uses the matrix completion method to accelerate the procedure of iterations, which makes it more adapted for higher-dimension tensor completion. The experimental results show that our algorithm is more suitable for those tensors with dimensions greater than three, and the accuracy can be ensured even when the missing ratio is as high as 80%.
AB - Traffic data is often missing or incomplete. Recently, it has been constructed into a tensor model and its missing data can be completed from a subset of its observed entries to fully express the multi-modal properties of traffic data. However, with the dimension of the data becoming higher, the completing speed, and accuracy usually decreases rapidly. To solve this problem, in this paper, we introduce a square-norm model for tensor completion, which uses the matrix completion method to accelerate the procedure of iterations, which makes it more adapted for higher-dimension tensor completion. The experimental results show that our algorithm is more suitable for those tensors with dimensions greater than three, and the accuracy can be ensured even when the missing ratio is as high as 80%.
UR - http://www.scopus.com/inward/record.url?scp=84979760338&partnerID=8YFLogxK
U2 - 10.1061/9780784479896.027
DO - 10.1061/9780784479896.027
M3 - Conference contribution
AN - SCOPUS:84979760338
T3 - CICTP 2016 - Green and Multimodal Transportation and Logistics - Proceedings of the 16th COTA International Conference of Transportation Professionals
SP - 284
EP - 294
BT - CICTP 2016 - Green and Multimodal Transportation and Logistics - Proceedings of the 16th COTA International Conference of Transportation Professionals
A2 - Ge, Ying-En
A2 - Wang, Xiaokun
A2 - Zhang, Yu
A2 - Huang, Youfang
PB - American Society of Civil Engineers (ASCE)
T2 - 16th COTA International Conference of Transportation Professionals: Green and Multimodal Transportation and Logistics, CICTP 2016
Y2 - 6 July 2016 through 9 July 2016
ER -