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  • Liu D, Sun J, Wang S. Bustime: Which is the right prediction model for my bus arrival time?[C]//2020 5th IEEE International Conference on Big Data Analytics (ICBDA). IEEE, 2020: 180-185. Link Code
  • Huang P, Huang B, Zhao F, et al. Deep ConvLSTM-Inception Network for Traffic Prediction in Smart Cities[C]//2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2020: 1211-1218. Link
  • Farajiparvar P, Hoseinzadeh N, Han L D, et al. Deep Learning Techniques for Traffic Speed Forecasting with Side Information[C]//2020 IEEE Green Energy and Smart Systems Conference (IGESSC). IEEE, 2020: 1-5. Link Code
  • Nielsen C H, Randers S M, Yang B, et al. Estimating travel speed distributions of paths in road networks using dual-input LSTMs[C]//Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science. 2020: 1-4. Link
  • Fu L, Li J, Lv Z, et al. Estimation of Short-Term Online Taxi Travel Time Based on Neural Network[C]//International Conference on Wireless Algorithms, Systems, and Applications. Springer, Cham, 2020: 20-29. Link
  • Shao K, Wang K, Chen L, et al. Estimation of Urban Travel Time with Sparse Traffic Surveillance Data[C]//Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence. 2020: 218-223. Link
  • Sánchez C S, Wieder A, Sottovia P, et al. GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting[C]//International Workshop on Advanced Analysis and Learning on Temporal Data. 2020. Link Code (empty till 2021/10/17)
  • Chen L, Han K, Yin Q, et al. GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction[C]//International Conference on Knowledge Science, Engineering and Management. Springer, Cham, 2020: 438-449. Link
  • Chen F, Chen Z, Biswas S, et al. Graph Convolutional Networks with Kalman Filtering for Traffic Prediction[C]//Proceedings of the 28th International Conference on Advances in Geographic Information Systems. 2020: 135-138. Link Code
  • Wu M, Zhu C, Chen L. Multi-Task Spatial-Temporal Graph Attention Network for Taxi Demand Prediction[C]//Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence. 2020: 224-228. Link
  • Gammelli D, Rodrigues F. Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility[C]//ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models. 2021. Link Code
  • Ma M, Peng B, Xiao D, et al. STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction[C]//International Conference on Advanced Data Mining and Applications. Springer, Cham, 2020: 315-323. Link
  • Li A, Axhausen K W. Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks[C]. AGILE: GIScience Series, 2020, 1: 1-14. Link
  • Huang Y, Zhang S, Wen J, et al. Short-Term Traffic Flow Prediction Based on Graph Convolutional Network Embedded LSTM[C]//International Conference on Transportation and Development (ICTD) 2020. Reston, VA: American Society of Civil Engineers, 2020: 159-168. Link
  • Zhang X, Zhang Z, Jin X. Spatial-Temporal Graph Attention Model on Traffic Forecasting[C]//2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2020: 999-1003. Link
  • Wei C, Sheng J. Spatial-temporal Graph Attention Networks for Traffic Flow Forecasting[C]//IOP Conference Series: Earth and Environmental Science. IOP Publishing, 2020, 587(1): 012065. Link
  • Xu S, Xu J, Zhou R, et al. Tadnm: A transportation-mode aware deep neural model for travel time estimation[C]//International Conference on Database Systems for Advanced Applications. Springer, Cham, 2020: 468-484. Link
  • Cvetek D, Muštra M, Jelušić N, et al. Traffic Flow Forecasting at Micro-Locations in Urban Network using Bluetooth Detector[C]//2020 International Symposium ELMAR. IEEE, 2020: 57-60. Link
  • Agafonov A. Traffic Flow Prediction Using Graph Convolution Neural Networks[C]//2020 10th International Conference on Information Science and Technology (ICIST). IEEE, 2020: 91-95. Link
  • Kim S S, Chung M, Kim Y K. Urban Traffic Prediction using Congestion Diffusion Model[C]//2020 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, 2020: 1-4. Link