BusTr: Predicting Bus Travel Times from Real-Time Traffic
Not on the map. Why?
Abstract (arXiv)
We present BusTr, a machine-learned model for translating road traffic forecasts into predictions of bus delays, used by Google Maps to serve the majority of the world's public transit systems where no official real-time bus tracking is provided. We demonstrate that our neural sequence model improves over DeepTTE, the state-of-the-art baseline, both in performance (-30% MAPE) and training stability. We also demonstrate significant generalization gains over simpler models, evaluated on longitudinal data to cope with a constantly evolving world.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Jul 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 3; 2022: 2; 2023: 2; 2024: 0; 2025: 1.
8 papers.
- 2022Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Citiescited by 38
- 2023A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Managementcited by 6
- 2021gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregionscited by 3
- 2021Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmarkcited by 1
- 2025STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Modelscited by 1
- 2021UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimationcited by 0
- 2022Public Transit Arrival Prediction: a Seq2Seq RNN Approachcited by 0
- 2023Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graphcited by 0
- 2025STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models7 Jan 2025
- 2023Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph24 Aug 2023
- 2023A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management5 Jun 2023
- 2022Public Transit Arrival Prediction: a Seq2Seq RNN Approach4 Oct 2022
- 2022Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities8 Feb 2022
- 2021gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregions1 Nov 2021
- 2021Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark30 Jun 2021
- 2021UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation27 Apr 2021