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Trajectory completion via deep learning

Project Member(s): Liu, W.

Funding or Partner Organisation: Southern University of Science and Technology
Southern University of Science and Technology

Start year: 2020

Summary: Deep learning has become prevalent in Intelligent Transportation Systems (ITS). The computers’ increasingly powerful storage and computing capacity guarantee the possibility of the rise of new techniques. Consequently, a considerable part of traditional statistical model and machine learning models have been replaced by deep learning ones. This project studies neural network based missing trajectory completions.

FOR Codes: Pattern Recognition and Data Mining, Information Processing Services (incl. Data Entry and Capture), Deep learning, Information systems, technologies and services not elsewhere classified