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[1] Qi Zhang,et al. Kernel-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic Forecasting , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[2] Donald F. Towsley,et al. Diffusion-Convolutional Neural Networks , 2015, NIPS.
[3] Srinivas Peeta,et al. An Exact Graph Structure for Dynamic Traffic Assignment: Formulation, Properties, and Computational Experience , 2007 .
[4] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[5] Bin Ran,et al. A hybrid deep learning based traffic flow prediction method and its understanding , 2018 .
[6] Ardeshir Faghri,et al. APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS TO INTELLIGENT VEHICLE-HIGHWAY SYSTEMS , 1994 .
[7] Gang Chen,et al. A Gentle Tutorial of Recurrent Neural Network with Error Backpropagation , 2016, ArXiv.
[8] Cyrus Shahabi,et al. Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting , 2017, ArXiv.
[9] Xiaolei Ma,et al. Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models , 2018, IEEE Transactions on Intelligent Transportation Systems.
[10] Nikos Komodakis,et al. Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Shijie Li,et al. Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting , 2019, IEEE Transactions on Intelligent Transportation Systems.
[12] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[13] Huijun Sun,et al. Spatial distribution complexities of traffic congestion and bottlenecks in different network topologies , 2014 .
[14] Houbing Song,et al. Discovering time-dependent shortest path on traffic graph for drivers towards green driving , 2017, J. Netw. Comput. Appl..
[15] Yunpeng Wang,et al. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data , 2015 .
[16] Bin Yu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017 .
[17] Joan Bruna,et al. Deep Convolutional Networks on Graph-Structured Data , 2015, ArXiv.
[18] Li Li,et al. Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework , 2019, IEEE Transactions on Intelligent Transportation Systems.
[19] Fei-Yue Wang,et al. Traffic Flow Prediction With Big Data: A Deep Learning Approach , 2015, IEEE Transactions on Intelligent Transportation Systems.
[20] Pascal Frossard,et al. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains , 2012, IEEE Signal Processing Magazine.
[21] C. Daganzo. THE CELL TRANSMISSION MODEL.. , 1994 .
[22] Kristina Lerman,et al. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing , 2019, ICML.
[23] P J Webros. BACKPROPAGATION THROUGH TIME: WHAT IT DOES AND HOW TO DO IT , 1990 .
[24] Yong Wang,et al. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction , 2017, Sensors.
[25] Ronald J. Williams,et al. Experimental Analysis of the Real-time Recurrent Learning Algorithm , 1989 .
[26] Mansur R. Kabuka,et al. Combining weather condition data to predict traffic flow: A GRU-based deep learning approach , 2018 .
[27] Dongjoo Park,et al. Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network , 1999 .
[28] Shing Chung Josh Wong,et al. Urban traffic flow prediction using a fuzzy-neural approach , 2002 .
[29] Yu Zheng,et al. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction , 2016, AAAI.
[30] Wan Li,et al. Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact , 2019, Transportation Research Record: Journal of the Transportation Research Board.
[31] Cyrus Shahabi,et al. Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting , 2017, ICLR.
[32] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[33] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[34] Eleni I. Vlahogianni,et al. Short-term traffic forecasting: Where we are and where we’re going , 2014 .
[35] Wenhao Huang,et al. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning , 2014, IEEE Transactions on Intelligent Transportation Systems.
[36] Joan Bruna,et al. Spectral Networks and Locally Connected Networks on Graphs , 2013, ICLR.
[37] Jian Li,et al. Big data‐driven machine learning‐enabled traffic flow prediction , 2018, Trans. Emerg. Telecommun. Technol..
[38] Paul Patras,et al. Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks , 2017, MobiHoc.
[39] Yunpeng Wang,et al. Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks , 2017, Sensors.
[40] Wei Cao,et al. When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks , 2018, AAAI.
[41] Zhanxing Zhu,et al. 3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting , 2019, ArXiv.
[42] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[43] Zhiyong Cui,et al. Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction , 2018, ArXiv.
[44] Yu Tian,et al. A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation , 2018, Transportation Research Record: Journal of the Transportation Research Board.
[45] Jian Li,et al. Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network , 2019, Future Gener. Comput. Syst..
[46] Zhanxing Zhu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017, IJCAI.
[47] Hashem R Al-Masaeid,et al. Short-Term Prediction of Traffic Volume in Urban Arterials , 1995 .
[48] Paolo Frasconi,et al. Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning , 2013, IEEE Transactions on Intelligent Transportation Systems.
[49] Fei-Yue Wang,et al. Travel time prediction with LSTM neural network , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[50] S. P. Hoogendoorn,et al. Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks , 2002 .
[51] Jieping Ye,et al. Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting , 2019, AAAI.
[52] Ugur Demiryurek,et al. Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting , 2017, SDM.
[53] Nicholas G. Polson,et al. Deep learning for short-term traffic flow prediction , 2016, 1604.04527.
[54] Xuan Song,et al. DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level , 2016, IJCAI.
[55] Huaiyu Wan,et al. Spatio-Temporal Recurrent Convolutional Networks for Citywide Short-term Crowd Flows Prediction , 2018, ICCDA.
[56] Shuicheng Yan,et al. Semantic Object Parsing with Graph LSTM , 2016, ECCV.