Vladimir Mashurov

1paper

1 Paper

AIJun 7, 2023
GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation

Vladimir Mashurov, Vaagn Chopurian, Vadim Porvatov et al.

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.