56 citations · 137 across the 6 of their papers we have counts for
6 papers
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans, Nina Wiedemann, Nishant Kumar +2
Despite the strong predictive performance of deep learning models for traffic prediction, their widespread deployment in real-world intelligent transportation systems has been rest…
Evaluating geospatial context information for travel mode detection
Ye Hong, Emanuel Stüdeli, Martin Raubal
Detecting travel modes from global navigation satellite system (GNSS) trajectories is essential for understanding individual travel behavior and a prerequisite for achieving sustai…
Context-aware multi-head self-attentional neural network model for next location prediction
Ye Hong, Yatao Zhang, Konrad Schindler +1
Accurate activity location prediction is a crucial component of many mobility applications and is particularly required to develop personalized, sustainable transportation systems.…
How do you go where? Improving next location prediction by learning travel mode information using transformers
Ye Hong, Henry Martin, Martin Raubal
Predicting the next visited location of an individual is a key problem in human mobility analysis, as it is required for the personalization and optimization of sustainable transpo…
Trackintel: An open-source Python library for human mobility analysis
Henry Martin, Ye Hong, Nina Wiedemann +2
Over the past decade, scientific studies have used the growing availability of large tracking datasets to enhance our understanding of human mobility behavior. However, so far data…
Traffic4cast-Traffic Map Movie Forecasting -- Team MIE-Lab
Henry Martin, Ye Hong, Dominik Bucher +2
The goal of the IARAI competition traffic4cast was to predict the city-wide traffic status within a 15-minute time window, based on information from the previous hour. The traffic…