Search Results for author: Jonas Sjöblom

Found 2 papers, 0 papers with code

Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs

no code implementations27 Mar 2023 Ebrahim Balouji, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani

Finally, the last model is based on two parallel At-LSTMs, where similarly, each At-LSTM predicts time and distance separately through fully connected layers.

A Unified Framework for Online Trip Destination Prediction

no code implementations12 Jan 2021 Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani

In this paper, we present a unified framework for trip destination prediction in an online setting, which is suitable for both online training and online prediction.

Autonomous Driving Clustering

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