Demand forecasting and predictability identification of ride-sourcing via bidirectional spatial-temporal transformer neural processes

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Ling Zhao, Yujiao Song, Chao Zhang et al. · IEEE Transactions on Intelligent Transportation Systems · 2019 · 3.2K citations · Full text

Computing, Data Science, Forecasting +16

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

Shengnan Guo, Youfang Lin, Ning Feng et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 2.8K citations · Full text

Computing, Data Science, Forecasting +16

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

Jintao Ke, Hongyu Zheng, Hai Yang et al. · Transportation Research Part C Emerging Technologies · 2017 · 727 citations · Full text

Computing, Data Science, Transportation Planning +17

Predicting Taxi–Passenger Demand Using Streaming Data

Luís Moreira-Matias, João Gama, Michel Ferreira et al. · IEEE Transactions on Intelligent Transportation Systems · 2013 · 726 citations · Full text

Computing, Data Science, Demand Forecasting +16

Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

Jianhua Guo, Wei Huang, Billy M. Williams · Transportation Research Part C Emerging Technologies · 2014 · 632 citations

Computing, Computational Engineering, Stochastic Processes +13