mlsanityData to 7 Oct 2026

Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools

arXiv 2103.11824 ↗First posted 18 Mar 2021cs.LG cs.DBcited by 3

Not on the map. Why?

Abstract (arXiv)

Big data has been used widely in many areas including the transportation industry. Using various data sources, traffic states can be well estimated and further predicted for improving the overall operation efficiency. Combined with this trend, this study presents an up-to-date survey of open data and big data tools used for traffic estimation and prediction. Different data types are categorized and the off-the-shelf tools are introduced. To further promote the use of big data for traffic estimation and prediction tasks, challenges and future directions are given for future studies.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 12 of its 115 references that are in the map. First posted on arXiv 18 Mar 2021.

Builds on

12 of 115 references.

References · 12

  1. 2018T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Predictioncited by 399
  2. 2016Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Predictioncited by 330
  3. 2021Graph Neural Network for Traffic Forecasting: A Surveycited by 260
  4. 2020Privacy-preserving Traffic Flow Prediction: A Federated Learning Approachcited by 82
  5. 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Predictioncited by 61
  6. 2020Applications of deep learning in stock market prediction: recent progresscited by 51
  7. 2018Deep Sequence Learning with Auxiliary Information for Traffic Predictioncited by 29
  8. 2019A Countrywide Traffic Accident Datasetcited by 18
  9. 2017DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecastingcited by 16
  10. 2018Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Networkcited by 6
  11. 2020Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challengescited by 5
  12. 2019Characteristics of human mobility patterns revealed by high-frequency cell-phone position datacited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 0; 2026: 1.

3 papers.

  1. 2023Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunitiescited by 16
  2. 2021Parallel Multi-Graph Convolution Network For Metro Passenger Volume Predictioncited by 2
  3. 2026PrivateHub: Contrastive Diffusion Model for Private Sensor-Intensive Environment Data Generationcited by 0