Our AiMTT scientists have published their second tutorial in the series ‘AI in Mobility.’ The article on Long Short-Term Memory models (LSTMs) can be read in our Tutorials section and has also been published in Dutch in NM Magazine.
NM Magazine, widely distributed among traffic professionals in the Netherlands and Flanders, reserved three pages for the article ‘Time-Series Modeling for Mobility: Why LSTMs Still Matter.’ This is a translated and slightly shortened version of the English AiMTT tutorial by Mingze Gong and Willem-Jan Gieszen, researchers from the DAIMOND Lab and the TTS Lab at TU Delft, respectively. The English version can be read here.
The authors explain how Long Short-Term Memory models (LSTMs) work, what to consider when deploying them, and how they truly add value.
Partership NM Magazine
The translation and publication of the text in NM Magazine are a result of the partnership between AiMTT and NM Magazine. NM Magazine serves as an important knowledge disseminator for AiMTT.