WWW 2026 | 时空数据(Spatial -Temporal)论文总结(交通预测，人群移动，轨迹表示，城市感知，信控优化等)

时空探索之旅

发布于 2026-03-10 16:11:15

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文章被收录于专栏：时空探索之旅时空探索之旅

WWW 2026将在2026年4月13日到17日于阿联酋迪拜（Dubai, United Arab Emirates）举行。

本文总结了WWW 2026上有关时空数据（Spatial-Temporal）的相关论文，包含Research和Web4Good两个Track的论文，总计23篇，如有疏漏，欢迎补充。

Research Track录用列表：https://www2026.thewebconf.org/accepted/research-tracks.html

Web4Good Track录用列表：https://www2026.thewebconf.org/accepted/web4good.html

Web4Good的介绍（Call for Papers, CFP）：https://www2026.thewebconf.org/calls/web4good.html（这个是收录了proceedings的，各个学校对该track是否是CCF A的认定，欢迎大家补充相关信息）

时空数据Topic：交通预测（多模态，大模型等），人群移动预测，城市感知（智能体），信控优化，轨迹表示学习，城市规划等。

Research1. VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding2. FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction3. UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling4. MIGC-CMamba: Cross-Domain Mamba with Multi-Scale Imaging and Granular-Ball Computing for Traffic Flow Prediction5. Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction6. ST-LEGO: Large Language Models as Modular Architects for Traffic Prediction7. Beyond Single view Decoding: Dual-view Map Inference from Trajectories via Primal-Dual Graphs Co-generation8. TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility9. AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing10. HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control11. Multimodal Trajectory Representation Learning for Travel Time Estimation12. Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery13. Riemannian Liquid Spatio-Temporal Graph Network14. Multi-Source Information Driven Spatio-Temporal Hypergraph Learning for Traffic ForecastingWeb4Good15. Physics-Aware Multimodal Urban Heat Mapping with Open Web Imagery and Mobility Data16. TravelReasoner: leveraging large reasoning models to address mobility data gap 17. Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media Content 18. Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning?19. WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction 20. Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data21. STPWR: A Spatiotemporal Prediction-based Worker Pre-Recruitment Framework for Mobile Crowd Sensing22. Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data 23. Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting

Research

1 VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding

链接：https://zheng-kai.com/paper/2026_www_chen.pdf

作者：Jinwen Chen, Hao Miao, Chenxi Liu, Yan Zhao and Kai Zheng

关键词：交通预测，视觉模型，多模态

2 FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction

链接：https://arxiv.org/abs/2601.22578

作者：Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu and Juncheng Hu

关键词：联邦交通预测，因果解耦

3 UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling

链接：https://arxiv.org/abs/2601.22746

作者：Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou and Irwin King

关键词：城市区域画像，MoE

4 MIGC-CMamba: Cross-Domain Mamba with Multi-Scale Imaging and Granular-Ball Computing for Traffic Flow Prediction

作者：Wenxia Chang, Chao Zhang, Wentao Li and Deyu Li

关键词：交通预测，跨域，Mamba

5 Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction

链接：https://arxiv.org/abs/2505.19965

作者：Yu Wang, Junshu Dai, Yuchen Ying, Hanyang Yuan, Zunlei Feng, Tongya Zheng and Mingli Song

关键词：人群移动预测，长尾分布，LLM

6 ST-LEGO: Large Language Models as Modular Architects for Traffic Prediction

作者：Shuhao Li, Weidong Yang, Yue Cui, Lipeng Ma, Yixuan Li, Chaoteng Wu, Lu Qin and Fan Zhang

关键词：交通预测，大模型

7 Beyond Single view Decoding: Dual-view Map Inference from Trajectories via Primal-Dual Graphs Co-generation

作者：Wenyu Wu, Jiafan Liu and Jiali Mao

关键词：地图推断，轨迹生成

8 TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility

链接：https://arxiv.org/abs/2409.02124

作者：Jinming Wang, Hai Wang, Hongkai Wen, Geyong Min and Man Luo

关键词：轨迹恢复，扩散模型

9 AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing

链接：https://arxiv.org/abs/2510.19661

作者：Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan and Yuxuan Liang

关键词：城市感知，智能体

10 HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control

链接：https://wrap.warwick.ac.uk/id/eprint/196419/7/WRAP-HALO-Hierachical-reinforcement-learning-traffic-signal-control-26.pdf

作者：Yaqiao Zhu, Hongkai Wen, Geyong Min and Man Luo

关键词：信控优化，大规模

11 Multimodal Trajectory Representation Learning for Travel Time Estimation

链接：https://arxiv.org/abs/2510.05840

作者：Zhi Liu, Xuyuan Hu, Xiao Han, Zhehao Dai, Zhaolin Deng, Guojiang Shen and Xiangjie Kong

关键词：预计到达时间估计，多模态轨迹表示学习

12 Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery

作者：Chengjun Yu, Di Wu, Yi He, Jia Chen and Xin Luo

关键词：时空信号恢复，联邦学习

13 Riemannian Liquid Spatio-Temporal Graph Network

链接：https://arxiv.org/abs/2601.14115

作者：Liangsi Lu, Jingchao Wang, Zhaorong Dai, Hanqian Liu and Yang Shi

关键词：时空图神经网络，黎曼液态

14 Multi-Source Information Driven Spatio-Temporal Hypergraph Learning for Traffic Forecasting

作者：Ping Zhang, Jiayu Leng, Liang Yang, Anchen Li, Xiaochun Cao and Riting Xia

关键词：交通预测，超图，多源信息

Web4Good

15 Physics-Aware Multimodal Urban Heat Mapping with Open Web Imagery and Mobility Data

链接：https://github.com/tsinghua-fib-lab/AESPA

作者：Yuanyi You:Department of Electronic Engineering, BNRist, Tsinghua University;Yunke Zhang:Department of Electronic Engineering, BNRist, Tsinghua University;Yong Li:Department of Electronic Engineering, BNRist, Tsinghua University

关键词：多模态城市热力图绘制

16 TravelReasoner: leveraging large reasoning models to address mobility data gap

链接：https://github.com/tsinghua-fib-lab/TravelReasoner

作者：Peijie Liu:Department of Electronic Engineering, BNRist, Tsinghua University;Fengli Xu:Department of Electronic Engineering, BNRist, Tsinghua University;Yong Li:Department of Electronic Engineering, BNRist, Tsinghua University

关键词：人类旅行推理

17 Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media Content

链接：https://arxiv.org/abs/2503.04773

作者：Bingbing Fan:Department of Electronic Engineering, BNRist, Tsinghua University;Lin Chen:Hong Kong University of Science and Technology;Songwei Li:Department of Electronic Engineering, BNRist, Tsinghua University;Jian Yuan:Department of Electronic Engineering, BNRist, Tsinghua University;Fengli Xu:Department of Electronic Engineering, BNRist, Tsinghua University;Pan Hui:Hong Kong University of Science and Technology(Guangzhou)),Hong Kong University of Science and Technology;Yong Li:Department of Electronic Engineering, BNRist, Tsinghua University

关键词：城市隔离现象预测，POI，智能体

18 Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning?

链接：https://arxiv.org/abs/2601.21212

作者：Xixian Yong:Gaoling School of Artificial Intelligence, Renmin University of China;Peilin Sun:Gaoling School of Artificial Intelligence, Renmin University of China;Zihe Wang:Gaoling School of Artificial Intelligence, Renmin University of China;Xiao Zhou:Gaoling School of Artificial Intelligence, Renmin University of China

关键词：城市规划，大模型，强化学习

19 WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction

链接：https://arxiv.org/abs/2601.22586

作者：Qian Hong:Gaoling School of Artificial Intelligence, Renmin University of China;Siyuan Chang:School of Statistics, Renmin University of China;Xiao Zhou:Gaoling School of Artificial Intelligence, Renmin University of China

关键词：交通预测，天气影响，因果增强

20 Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data

作者：Tangwei Ye:Tongji University;Liang Hu:Tongji University;Zhongyuan Lai:Shanghai Ballsnow Intelligent Technology Co. Ltd;Qi Zhang:Tongji University;Yiming Wu:Tongji University;Jiaxing Miao:Tongji University;Yijun Yang:Tongji University;Kun Yi:State Information Center

关键词：轨迹恢复，网络众包

21 STPWR: A Spatiotemporal Prediction-based Worker Pre-Recruitment Framework for Mobile Crowd Sensing

作者：Guisong Yang:Department of Computer Science and Engineering, University of Shanghai for Science and Technology;Yuchen Yang:Department of Computer Science and Engineering, University of Shanghai for Science and Technology;Yunbo Shen:Department of Computer Science and Engineering, University of Shanghai for Science and Technology;Xingyu He:Department of Computer Science and Engineering, University of Shanghai for Science and Technology;Jianheng Tang:School of Computer Science, Peking University;Yunhuai Liu:School of Computer Science, Peking University;Chengji Xu:School of Computer Science, The University of New South Wales

关键词：时空预测，移动众包

22 Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data

链接：https://arxiv.org/abs/2601.12856

作者：Liping Huang:Agency for Science, Technology and Research (A*STAR);Gaoxi Xiao:Nanyang Technological University;Stefan Ma:Ministry of Health, Singapore;Hechang Chen:Jilin University;Shisong Tang:Tsinghua University;Flora D. Salim:University of New South Wales

关键词：疾病（登革热）传播预测

23 Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting

链接：https://arxiv.org/abs/2505.22692

作者：Jing Du:Computer Science and Engineering, Faculty of Engineering, The University of New South Wales;Haley Stone:The Kirby Institute, Faculty of Medicine & Health, The University of New South Wales;Yang Yang:Computer Science and Engineering, Faculty of Engineering, The University of New South Wales;Ashna Desai:Computer Science and Engineering, Faculty of Engineering, The University of New South Wales;Hao Xue:The Hong Kong University of Science and Technology (Guangzhou);Andreas Züfle:Department of Computer Science, Emory University;C. Raina MacIntyre:The Kirby Institute, Faculty of Medicine & Health, The University of New South Wales;Flora D. Salim:Computer Science and Engineering, Faculty of Engineering, The University of New South Wales

关键词：时空疫情（禽流感）预测，异质图