Traffic Forecasting

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6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Prediction is Better than Detection: Traffic Congestion Control using Drones

    Sep 30, 2026Samira Hayat, Christian RaffelsbergerMulti-Robot SystemsTraffic Signal Control

    Lakeside Labs GmbH Klagenfurt, Austria

  2. LTV-CTDNet: Compositional Turning Decomposition for Short-Term Turning-Movement Forecasting

    Sep 27, 2026Md Atiqur Rahman Mallick, Kamrul Hasan, Robert T. WhiteTime Series ForecastingTraffic Flow Estimation

    Graduate Student, Department of Electrical and Computer Engineering Tennessee State University, Nashville, TN, 37209 · Assistant Professor, Department of Electrical and Computer Engineering Tennessee State University, Nashville, TN, 37209 · TSMO Manager Nashville Department of Transportation & Multimodal Infrastructure Nashville, TN 37210

  3. Learning Local Heterogeneity and Cross-Region Context for Large-Scale Traffic Forecasting

    Sep 23, 2026Qi Feng, Zidong Wang, Bo Li +4Intelligent Transportation SystemsTraffic Forecasting

    School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710129, China · Department of Computer Science, City University of Hong Kong, Hong Kong SAR, and also with Shenzhen Research Institute, City University of Hong Kong, China · School of Electronic Information (School of Artificial Intelligence), Northwest University, Xi’an, China

  4. Disentangling Heterogeneous Traffic Dynamics for Multi-Step Traffic Forecasting via Adaptive Spectral Decomposition

    Sep 22, 2026Zijun Huang, Chenrui Fu, Wenhao Wang +3Time Series DecompositionSpatiotemporal Forecasting

    Beijing Normal-Hong Kong Baptist University · Dalian Maritime University · National Chung Hsing University

  5. FedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction

    Sep 17, 2026Fermin Orozco, Man Luo, Johan WahlströmFederated Graph LearningSpatiotemporal Forecasting

    University of Exeter Exeter, United Kingdom

  6. ResLearn-XR: Residual Learning for Network Traffic and Quality-of-Experience-Aware Modeling in Extended Reality

    Sep 7, 2026Yoga Suhas Kuruba Manjunath, Jie Gao, Lian ZhaoResidual LearningEncrypted Network Traffic Analysis

    School of Information Technology, Carleton University, Ottawa, ON, K1S 5B6, Canada · Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada

  7. Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems

    Aug 31, 2026Hao Yin, Meiqi Tu, Anbang Liu +2Real-Time SchedulingSemiconductor Manufacturing

    Department of Data and Systems Engineering, The University of Hong Kong · The Research Center for Digital Production and Smart Logistics, Tsinghua University

  8. General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting

    Aug 18, 2026Mattis Thor Straten, Yannick Wolker, Steffen Strohm +3Graph Neural NetworksTraffic Flow Estimation

    Department of Computer Science, Kiel University, Germany · GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany · ZBW – Leibniz Information Centre for Economics, Kiel, Germany

  9. CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting

    Aug 7, 2026Quang Minh Dinh, Tuan Kiet DoanLong-Horizon Video GenerationVision Foundation Model Adaptation

    Simon Fraser University, Burnaby, BC, Canada · Institut Polytechnique de Paris, Palaiseau, France

  10. Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining

    Aug 6, 2026Mohammad Arafath Uddin Shariff, Byrav RamamurthyNetwork Intrusion DetectionForecasting Benchmarks

    School of Computing University of Nebraska-Lincoln Lincoln, NE, USA

  11. Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing

    Aug 4, 2026Laha Ale, Letian Lin, Na Cao +2Edge ComputingTraffic Forecasting

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China · SWJTU-Leeds Joint School, Southwest Jiaotong University, Chengdu, China · Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China +1

  12. Interpretable Machine Learning for Traffic Congestion Prediction: Unveiling the Impact of Different COVID-19 Periods

    Aug 2, 2026Dan Zhu, Chi Sin Ng, Litian Xie +1Time Series ForecastingRecurrent Neural Networks

    Department of Civil and Environmental Engineering, National University of Singapore, Singapore · Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore

  13. DSETA: A Dual-Stage Continual Learning Framework for Travel Time Prediction in Dynamic Traffic Environments

    Aug 1, 2026Yanming Lyu, Yue Cheng, Lingkun Li +4Intelligent Transportation SystemsOnline Continual Learning

    Beijing Jiaotong University Beijing, China · Didichuxing Co. Ltd Beijing, China · Lancaster University Lancaster, United Kingdom

  14. An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks

    Jul 29, 2026Luca Barbieri, Gianluca Fontanesi, Lorenzo Galati Giordano +2ClusteringWireless Communications

    Radio Systems Research, Nokia Bell Labs, Stuttgart, Germany · Nokia Spain, Madrid

  15. Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions

    Jul 29, 2026Truong Giang Vu, Li Yang, Richard W. PazziIntelligent Transportation SystemsSpatiotemporal Forecasting

    Faculty of Business & IT Ontario Tech University Oshawa, Canada

  16. A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks

    Jul 28, 2026Du Yin, Xiachong Lin, Yue Tan +4Intelligent Transportation SystemsContinual Test-Time Adaptation

    University of New South Wales · Sydney, NSW, Australia · Griffith University +7

  17. Time Series Network Utilization KPI Forecasting Using Advanced AI/ML Models

    Jul 22, 2026Niraj Gadhe, Kirti Bhardwaj, Moulik Jain +2Time Series ForecastingForecasting Benchmarks

    Independent Researcher

  18. EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting

    Jul 14, 2026Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7Efficient Neural Network InferenceGraph Attention Networks

    Shanghai Jiao Tong University · University of Michigan, Ann Arbor · University of California, Berkeley +5

  19. STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting

    Jul 14, 2026Sicong Lai, Yuehong Hu, Siru Zhong +3Kolmogorov-Arnold NetworksSpatiotemporal Forecasting

    The Hong Kong University of Science and Technology (Guangzhou) · Chang’an University · China University of Geosciences

  20. Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic Forecasting

    Jul 8, 2026Qingzhong Li, Yue Hu, Hui Ma +4Time Series ForecastingSpatiotemporal Forecasting

    Xinjiang Key Laboratory of Intelligent Computing and Smart Applications, School of Software, Xinjiang University, Urumqi 830017, China. · College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China.

  21. GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation

    Jul 6, 2026Zherui Huang, Guanjie Zheng, Hao Xue +1Geospatial Representation LearningGeospatial Reasoning

    Shanghai Jiao Tong University · The Hong Kong University of Science and Technology (Guangzhou) · The University of New South Wales, Sydney

  22. OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction

    Jul 3, 2026Changjian Liu, Yong Gao, Yuqing Wang +5Distribution Shift RobustnessDiscrete Choice Modeling

    School of Earth and Space Sciences Peking University China, CN 100871 · College of Artificial Intelligence Zhejiang University China, CN 310027

  23. Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration

    Jun 26, 2026Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh HaghparastMultivariate Time Series ForecastingTraffic Forecasting

    Department of Computer Science Texas A&M University Corpus Christi, USA

  24. Cellular Predictions on the Move: What about Data?

    Jun 24, 2026Natalia Vesselinova, Pauliina IlmonenTime Series ForecastingTraffic Forecasting

  25. An Efficient and Effective Architecture for Large-Scale Traffic Prediction via Geometry-Adaptive Square Partitioning

    Jun 19, 2026Yongfeng Su, Hongwen Li, Zijian Zhang +3Traffic Flow EstimationSpatiotemporal Forecasting

    Zhejiang University, China · Southeast University, China · Aalborg University, Denmark

  26. INDEQS: Informed Neural controlled Differential EQuationS

    Jun 17, 2026Michael Detzel, Gabriel Nobis, Kristiyan Blagov +3Neural Controlled Differential EquationsSpatiotemporal Forecasting

    Fraunhofer Heinrich Hertz Institute · Technische Universität Berlin

  27. Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting

    Jun 16, 2026Yingshuo Wang, Xian Sun, Lingdong Kong +4Time Series ForecastingForecasting Benchmarks

    University of California, Berkeley, CA, USA · Duke University, Durham, NC, USA · National University of Singapore, Singapore +3

  28. Continuous Cross-Domain Traffic State Prediction via Memory-Augmented Graph Liquid Time-Constant Networks

    Jun 14, 2026Jinrong Xiang, Ming XuCross-Domain Transfer LearningSpatiotemporal Forecasting

    Software College, Liaoning Technical University, Huludao, Liaoning 125100, China

  29. CIWI-CKT: Chaos-Informed Wave Interference Feature Fusion and Cross-City Knowledge Transfer for Traffic Flow Forecasting

    Jun 14, 2026Abdul Joseph Fofanah, Lian Wen, David Chen +1Meta-LearningFew-Shot Learning

    School of Information and Communication Technology, Griffith University, Brisbane, 4111, Australia · School of Information Engineering, Chang’an University, Xi’an, China

  30. Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth

    Jun 8, 2026Soban Nasir Lone, Mohamed Abouelela, Taeyoung Yu +2Efficient Neural Network InferenceIntelligent Transportation Systems

    Technical University of Munich Munich, Germany · The University of Queensland Brisbane, Australia