Title
Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction
Abstract
Techniques for using multi-way traffic patterns for traffic prediction is gaining importance. One of the possible techniques for representing the multi-way traffic patterns is tensors. Tensor decomposition is used to generate low-rank approximations of the original tensor that is subsequently used for traffic volume prediction. However, the existing tensor-based approaches do not consider certain ...
Year
DOI
Venue
2021
10.1109/TITS.2020.2984175
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Tensile stress,Urban areas,Matrix decomposition,Forecasting,Public transportation,Predictive models
Journal
22
Issue
ISSN
Citations 
6
1524-9050
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Manish Bhanu100.34
João Mendes-Moreira231729.50
Joydeep Chandra32610.77