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  • Zheng H, Lin F, Feng X, et al. A hybrid deep learning model with attention-based conv-LSTM networks for short-term traffic flow prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Yu Y, Zhang Y, Qian S, et al. A low rank dynamic mode decomposition model for short-term traffic flow prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Li Z, Xiong G, Tian Y, et al. A Multi-Stream Feature Fusion Approach for Traffic Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Shi X, Qi H, Shen Y, et al. A spatial-temporal attention approach for traffic prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code and Data
  • Gu Y, Lu W, Xu X, et al. An improved Bayesian combination model for short-term traffic prediction with deep learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 21(3): 1332-1342. Link
  • Guo Z, Zhang Y, Lv J, et al. An online learning collaborative method for traffic forecasting and routing optimization[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Tian Z. Approach for short-term traffic flow prediction based on empirical mode decomposition and combination model fusion[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Liu Y, Lyu C, Liu X, et al. Automatic feature engineering for bus passenger flow prediction based on modular convolutional neural network[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 22(4): 2349-2358. Link
  • Ma D, Song X, Li P. Daily traffic flow forecasting through a contextual convolutional recurrent neural network modeling inter-and intra-day traffic patterns[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Zhang J, Chen F, Cui Z, et al. Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Meng X, Fu H, Peng L, et al. D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Guo K, Hu Y, Qian Z, et al. Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Liu L, Zhen J, Li G, et al. Dynamic spatial-temporal representation learning for traffic flow prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Bhanu M, Mendes-Moreira J, Chandra J. Embedding traffic network characteristics using tensor for improved traffic prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Luo D, Zhao D, Ke Q, et al. Fine-grained service-level passenger flow prediction for bus transit systems based on multitask deep learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Wang P, Hao W, Jin Y. Fine-grained traffic flow prediction of various vehicle types via fusison of multisource data and deep learning approaches[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Ren Y, Zhao D, Luo D, et al. Global-Local Temporal Convolutional Network for Traffic Flow Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Li C, Bai L, Liu W, et al. Graph Neural Network for Robust Public Transit Demand Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Liu J, Ong G P, Chen X. GraphSAGE-Based Traffic Speed Forecasting for Segment Network With Sparse Data[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Davis N, Raina G, Jagannathan K. Grids versus graphs: Partitioning space for improved taxi demand-supply forecasts[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Shin Y, Yoon Y. Incorporating Dynamicity of Transportation Network With Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Zhou P, Chen L, Dai X, et al. Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer Learning and Ensemble Learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Lu W, Rui Y, Ran B. Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Wang Z, Su X, Ding Z. Long-term traffic prediction based on lstm encoder-decoder architecture[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Guo K, Hu Y, Qian Z, et al. Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Liu L, Chen J, Wu H, et al. Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code with data
  • Lee Y, Jeon H, Sohn K. Predicting short-term traffic speed using a deep neural network to accommodate citywide spatio-temporal correlations[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 22(3): 1435-1448. Link
  • Jepsen T S, Jensen C S, Nielsen T D. Relational Fusion Networks: Graph Convolutional Networks for Road Networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Qian X, Ukkusuri S V, Yang C, et al. Short-Term Demand Forecasting for on-Demand Mobility Service[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Jing Y, Hu H, Guo S, et al. Short-Term Prediction of Urban Rail Transit Passenger Flow in External Passenger Transport Hub Based on LSTM-LGB-DRS[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Zhaowei Q, Haitao L, Zhihui L, et al. Short-term traffic flow forecasting method with MB-LSTM hybrid network[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Liu J, Wu N Q, Qiao Y, et al. Short-term traffic flow forecasting using ensemble approach based on deep belief networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Cheng S, Lu F, Peng P. Short-term traffic forecasting by mining the non-stationarity of spatiotemporal patterns[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • He Z, Chow C Y, Zhang J D. STNN: A spatio-temporal neural network for traffic predictions[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Chen E, Ye Z, Wang C, et al. Subway passenger flow prediction for special events using smart card data[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(3): 1109-1120. Link
  • Zhang C, Zhu F, Wang X, et al. Taxi demand prediction using parallel multi-task learning model[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Lv M, Hong Z, Chen L, et al. Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Qiu H, Zheng Q, Msahli M, et al. Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link Code
  • Du B, Hu X, Sun L, et al. Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. Link
  • Chen C, Liu Z, Wan S, et al. Traffic flow prediction based on deep learning in Internet of vehicles[J]. IEEE transactions on intelligent transportation systems, 2020, 22(6): 3776-3789. Link