  This paper introduces a new transformer-based model for the problem of travel
time estimation. The key feature of the proposed GCT-TTE architecture is the
utilization of different data modalities capturing different properties of an
input path. Along with the extensive study regarding the model configuration,
we implemented and evaluated a sufficient number of actual baselines for
path-aware and path-blind settings. The conducted computational experiments
have confirmed the viability of our pipeline, which outperformed
state-of-the-art models on both considered datasets. Additionally, GCT-TTE was
deployed as a web service accessible for further experiments with user-defined
routes.
