GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation

Vladimir Mashurov, Vaagn Chopurian, Vadim Porvatov, Arseny Ivanov, Natalia Semenova
6/7/2023
cs.AI

No official code found. Best implementation: Eighonet/GCT-TTE (10 stars, MIT, last commit 2024-01-14).

Abstract

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.

View on arXivView PDF

Code Implementations(1)

Eighonet/GCT-TTECommunity100%
MIT

GCT-TTE algorithm & dedicated application

102HTML, SCSS2 years agoMIT

Similar Papers

Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation

92% match1 repo62022

Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation

80% match2023

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

79% match1 repo32024

GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation

79% match2022

Trajectory Data Mining and Trip Travel Time Prediction on Specific Roads

78% match2024

MSCMHMST: A traffic flow prediction model based on Transformer

78% match2025

Cite this paper

@article{mashurov2023gcttte,
  title  = {GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation},
  author = {Vladimir Mashurov and Vaagn Chopurian and Vadim Porvatov and Arseny Ivanov and Natalia Semenova},
  year   = {2023},
  eprint = {2306.04324},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2306.04324v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2306.04324.svg)](https://codeofpaper.com/paper/2306.04324)

Discussion