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Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey

19 February 2021

Papers citing "Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey"

29 / 29 papers shown

Title
A Physics-Informed Deep Learning Paradigm for Car-Following Models Zhaobin Mo Xuan Di Rongye Shi PINN AI4CE 166 137 0 24 Dec 2020
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 66 371 0 20 Nov 2019
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights Sobhan Moosavi Mohammad Hossein Samavatian Srinivasan Parthasarathy R. Teodorescu R. Ramnath 47 134 0 19 Sep 2019
Urban flows prediction from spatial-temporal data using machine learning: A survey Peng Xie Tianrui Li Jia Liu Shengdong Du Xin Yang Junbo Zhang AI4TS AI4CE 67 74 0 26 Aug 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 97 568 0 11 Jun 2019
A survey of advances in vision-based vehicle re-identification Sultan Daud Khan Habib Ullah 162 144 0 30 May 2019
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 92 1,443 0 16 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 810 8,597 0 03 Jan 2019
Attentional Road Safety Networks Sonu Gupta Deepak Srivatsav A. V. Subramanyam Ponnurangam Kumaraguru 97 3 0 12 Dec 2018
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 83 2,593 0 06 Aug 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 119 1,321 0 12 Mar 2018
DxNAT - Deep Neural Networks for Explaining Non-Recurring Traffic Congestion Fangzhou Sun A. Dubey Jules White 42 49 0 30 Jan 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation Huaizu Jiang Deqing Sun Varun Jampani Ming-Hsuan Yang Erik Learned-Miller Jan Kautz 122 788 0 30 Nov 2017
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 96 615 0 28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 88 932 0 28 Nov 2017
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting Xingyi Cheng Ruiqing Zhang Jie Zhou Wenyuan Xu AI4TS 59 128 0 27 Sep 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 389 27,275 0 20 Mar 2017
Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction M. Fouladgar Mostafa Parchami R. Elmasri Amir Ghaderi 52 104 0 03 Mar 2017
Using a Deep Reinforcement Learning Agent for Traffic Signal Control Wade Genders S. Razavi 84 286 0 03 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 572 8,017 0 13 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 744 37,085 0 08 Jun 2015
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 135 5,320 0 13 Mar 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 610 12,760 0 11 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 499 43,717 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 442 43,875 0 01 May 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 252 16,405 0 30 Apr 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 301 26,247 0 11 Nov 2013