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cs.LG2023
Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs
Ebrahim Balouji, Jonas Sjöblom, Nikolce Murgovski +1
In this paper, we propose machine learning solutions to predict the time of future trips and the possible distance the vehicle will travel. For this prediction task, we develop and…
cs.LG2021
A Unified Framework for Online Trip Destination Prediction
Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski +1
Trip destination prediction is an area of increasing importance in many applications such as trip planning, autonomous driving and electric vehicles. Even though this problem could…