DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

20 August 2021

Papers citing "DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction"

50 / 61 papers shown

Title
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models Anita Graser AI4TS 18 0 0 31 Mar 2025
Embedding spatial context in urban traffic forecasting with contrastive pre-training Matthew Low Arian Prabowo Hao Xue Flora D. Salim AI4TS 47 0 0 19 Mar 2025
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models Liyue Chen Jiangyi Fang Tengfei Liu Fangyuan Gao Leye Wang AI4TS 26 0 0 08 Jan 2025
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Hongjun Wang Jiyuan Chen Lingyu Zhang Renhe Jiang Xuan Song AI4TS 71 0 0 18 Nov 2024
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Sari Masri Huthaifa I. Ashqar Mohammed Elhenawy LRM 35 6 0 16 Nov 2024
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song OOD 68 2 0 07 Oct 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS GNN 37 0 0 01 Oct 2024
Robust Traffic Forecasting against Spatial Shift over Years Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS OOD 28 0 0 01 Oct 2024
A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction Guangyu Wang Yujie Chen Ming Gao Zhiqiao Wu Jiafu Tang Jiabi Zhao AI4TS MoE 24 3 0 26 Sep 2024
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana AI4TS 19 0 0 26 Aug 2024
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana BDL AI4TS AI4CE 19 0 0 22 Aug 2024
Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios Sari Masri Huthaifa I. Ashqar Mohammed Elhenawy 25 6 0 01 Aug 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction Yicheng Zhou Pengfei Wang Hao Dong Denghui Zhang Dingqi Yang Yanjie Fu Pengyang Wang AI4TS AI4CE GNN 19 4 0 24 Jun 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned Du Yin Jinliang Deng Shuang Ao Zechen Li Hao Xue Arian Prabowo Renhe Jiang Xuan Song Flora Salim AI4TS 37 0 0 18 Jun 2024
FedASTA: Federated adaptive spatial-temporal attention for traffic flow prediction Kai Li Yihan Zhang Xinlei Chen 11 0 0 21 May 2024
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing Chengqing Yu Fei Wang Zezhi Shao Tangwen Qian Zhao Zhang Wei Wei Yongjun Xu AI4CE 23 17 0 18 May 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting Zheng Dong Renhe Jiang Haotian Gao Hangchen Liu Jinliang Deng Qingsong Wen Xuan Song AI4TS 37 11 0 17 May 2024
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning Jiewen Deng Renhe Jiang Jiaqi Zhang Xuan Song AI4TS 25 3 0 06 May 2024
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model Yuanshao Zhu James J. Q. Yu Xiangyu Zhao Qidong Liu Yongchao Ye Wei Chen Zijian Zhang Xuetao Wei Yuxuan Liang 18 21 0 23 Apr 2024
Spatio-Temporal Field Neural Networks for Air Quality Inference Yutong Feng Qiongyan Wang Yutong Xia Junlin Huang Siru Zhong Yuxuan Liang 19 0 0 02 Mar 2024
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting Jiajia Wu Ling Chen AI4TS 16 2 0 26 Jan 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting Jinliang Deng Feiyang Ye Du Yin Xuan Song Ivor W. Tsang Hui Xiong AI4TS 30 1 0 22 Jan 2024
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction Haiyang Liu Chunjiang Zhu Detian Zhang AI4TS 22 0 0 07 Jan 2024
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model Hao Wu Yuxuan Liang Wei Xiong Zhengyang Zhou Wei-Ming Huang Shilong Wang Kun Wang AI4TS 50 10 0 13 Dec 2023
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting Haotian Gao Renhe Jiang Zheng Dong Jinliang Deng Yuxin Ma Xuan Song AI4TS 31 15 0 01 Dec 2023
Spatio-Temporal Meta Contrastive Learning Jiabin Tang Lianghao Xia Jie Hu Chao Huang AI4TS 11 7 0 26 Oct 2023
Explainable Spatio-Temporal Graph Neural Networks Jiabin Tang Lianghao Xia Chao Huang AI4TS 23 17 0 26 Oct 2023
Enhancing Traffic Prediction with Learnable Filter Module Yuanshao Zhu Yongchao Ye Xiangyu Zhao James J. Q. Yu 10 0 0 24 Oct 2023
Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction Haiyang Liu Chunjiang Zhu Detian Zhang Qing Li AI4TS GNN 21 0 0 12 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 18 56 0 09 Oct 2023
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation Z. Cai Renhe Jiang Xinyu Yang Zhaonan Wang Diansheng Guo Hiroki Kobayashi Xuan Song Ryosuke Shibasaki AI4TS 13 12 0 25 Sep 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment Yutong Xia Y. Liang Haomin Wen Xu Liu Kun Wang Zhengyang Zhou Roger Zimmermann AI4TS 37 36 0 23 Sep 2023
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning Arian Prabowo Kaixuan Chen Hao Xue Subbu Sethuvenkatraman Flora D. Salim 21 2 0 08 Sep 2023
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting Adnan Zeb Yongchao Ye Shiyao Zhang James J. Q. Yu AI4TS 16 0 0 28 Aug 2023
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting Hangcheng Liu Zheng Dong Renhe Jiang Jiewen Deng Jinliang Deng Quanjun Chen Xuan Song AI4TS 22 4 0 21 Aug 2023
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting Binqing Wu Ling-Hao Chen GNN AI4TS 15 3 0 02 Jul 2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction Xunlian Luo Chunjiang Zhu Detian Zhang Qing Li GNN AI4TS 18 6 0 02 Jul 2023
STEF-DHNet: Spatiotemporal External Factors Based Deep Hybrid Network for Enhanced Long-Term Taxi Demand Prediction Sheraz Hassan Muhammad Ahmad Tahir M. Uppal Zubair Khalid Ivan Gorban Selim Turki 12 1 0 26 Jun 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jiewen Deng Jinliang Deng Renhe Jiang Xuan Song AI4TS 31 5 0 01 Jun 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 32 15 0 22 May 2023
Message Passing Neural Networks for Traffic Forecasting Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim GNN 15 6 0 09 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 25 9 0 09 May 2023
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT) Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim AI4TS 17 12 0 09 May 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction Jiawei Jiang Chengkai Han Wenjun Jiang Wayne Xin Zhao Jingyuan Wang AI4TS AI4CE 27 7 0 27 Apr 2023
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model Yuanshao Zhu Yongchao Ye Shiyao Zhang Xiangyu Zhao James J. Q. Yu 19 40 0 23 Apr 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Z. Wang AI4TS 11 7 0 16 Mar 2023
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach Yunjie Huang Xiaozhuang Song Yuanshao Zhu Shiyao Zhang James J. Q. Yu AI4TS 20 11 0 13 Mar 2023
Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction Xunlian Luo Chunjiang Zhu Detian Zhang Qing Li GNN AI4TS 19 6 0 24 Feb 2023
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling Renhe Jiang Zhaonan Wang Jiawei Yong P. Jeph Quanjun Chen Yasumasa Kobayashi Xuan Song Toyotaro Suzumura Shintaro Fukushima GNN BDL AI4TS 15 4 0 12 Dec 2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition Qin Li Xu Yang Yong Wang Yuankai Wu Deqiang He 34 10 0 12 Dec 2022