• Research Papers
• Poster Papers
• Demo Papers
• Vision Papers
• Data & Resources Papers
• Industrial Papers

Research Papers

• EFECTIW-ROTER: Deep Reinforcement Learning Approach for Solving Heterogeneous Fleet and Demand Vehicle Routing Problem With Time-Window Constraints
  Arash Mozhdehi, University of Calgary;Mahdi Mohammadizadeh, University of Calgary;Yunli Wang, University of Calgary
• Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation
  Sourabh Yadav, University of North Texas;Chenyang Yu, University of North Texas;Xinpeng Xie, University of North Texas;Yan Huang, University of North Texas;Chenxi Qiu, University of North Texas
• Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
  Du Yin, Hong Kong SAR; Southern University of Science and Technology, China;Shuang Ao, The University of Tokyo;Xuan Song, Southern University of Science and Technology;Flora Salim
• Critical Features Tracking on Triangulated Irregular Networks by a Scale-Space Method
  Haoan Feng
• Urban Mobility Assessment Using LLMs
  Prabin Bhandari, George Mason University;Antonios Anastasopoulos, George Mason University;Dieter Pfoser, George Mason University
• Revisiting the Bus Stop Problem in Road Networks
  Claudius Proissl
• Augmentation Techniques for Balancing Spatial Datasets in Machine and Deep Learning Applications
  Alberto Belussi, University of Verona;Diego Garofolo, University of Verona;Sara Migliorini, University of Verona
• Discretized Random Walk Models for Efficient Movement Interpolation
  Kevin Buchin, Technical University Dortmund;Mart Hagedoorn, Technical University Dortmund;Alexander Korn
• Prompt Mining for Language Models-based Mobility Flow Forecasting
  Hao Xue
• Privacy preserved taxi demand prediction system for distributed data
  Ren Ozeki
• Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning
  Junfeng Hu
• Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap
  Qiang Gao
• SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
  Dingyi Zhuang
• Deep Reinforcement Learning for Multi-Period Facility Location: pk-median Dynamic Location Problem
  Changhao Miao
• ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower Information
  Sherif Mostafa
• Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
  Xiwen Chen
• Trajectory Anomaly Detection with Language Models
  Jonathan Mbuya
• Multilingual Vision-Language Pre-training for the Remote Sensing Domain
  Joao Daniel Silva, University of Lisbon;Joao Magalhaes, University of Lisbon
• DeepSoil: A Science-guided Framework for Generating High Precision Soil Moisture Maps by Reconciling Measurement Profiles Across In-situ and Remote Sensing Data
  Paahuni Khandelwal, Colorado State University;Sangmi Lee Pallickara, Colorado State University;Shrideep Pallickara, Colorado State University
• WildGraph: Realistic Long-Horizon Trajectory Generation with Limited Sample Size
  Ali Al-Lawati
• Adversarial Reconstruction of Trajectories: Privacy Risks and Attack Models in Trajectory Embedding
  Haochen Han
• M3LUC: Multi-modal Model for Urban Land-Use Classification
  Sibo Li, BNRist, Tsinghua University;Xin Zhang, Tsinghua University;Yuming Lin, BNRist, Tsinghua University;Yong Li, BNRist, Tsinghua University
• CMAD: Advancing Understanding of Geospatial Clusters of Anomalous Melt Events in Sea Ice Extent
  Maloy Kumar Devnath, University of Maryland, Baltimore County;Sudip Chakraborty, University of Maryland, Baltimore County;Vandana P. Janeja, University of Maryland, Baltimore County
• GraphParcelNet: Predicting Parcel-Level Imperviousness from Geospatial Vector Data using Graph Neural Networks
  Lapone Techapinyawat
• A Framework for Automated Junction Monitoring
  Rodrigo Sasse David
• Calculating Upstream Relation in Spatial Networks Under Path Constraints
  Wejdene Mansour, Technical University of Munich;Martin Werner, Technical University of Munich
• Beauty or Beast: Human Behavioral Insights and Learning Power of Federated Mobility Prediction
  Jo√£o Paulo Esper
• SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation
  Bin Han
• Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories
  Zheng Zhang
• TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
  Shang-Ling Hsu
• Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results
  Subhankar Ghosh, University of Minnesota, Twin Cities;Arun Sharma, University of Minnesota, Twin Cities;Jayant Gupta, USA;Aneesh Subramanian, University of Colorado, Boulder;Shashi Shekhar, University of Minnesota, Twin Cities
• Harnessing LLMs for Cross-City OD Flow Prediction
  Chenyang Yu, University of North Texas
• Regional Features Conditioned Diffusion Models for 5G Network Traffic Generation
  Xiaoqian Qi, BNRist, Tsinghua University;Haoye Chai, BNRist, Tsinghua University;Li Yu, BNRist, Tsinghua University;Zhaocheng Wang, BNRist, Tsinghua University

Poster Papers

• A spatio-temporal matrix representation for trajectory classification
  Ioannis Kontopoulos, Harokopio University, School of Electrical and Computer Enginnering, National Technical University of Athens;Iraklis Varlamis, Harokopio University of Athens;Antonios Makris, Harokopio University of Athens, School of Electrical and Computer Enginnering, National Technical University of Athens;Konstantinos Tserpes, National Technical University of Athens
• Context-aware Conversational Map Search with LLM
  Chiqun Zhang
• Customizable Routing with Learnings from Past Recommendations
  Kuo-Han Hung
• An Integrated Approach to Multi-Agent Scheduling with Bounded Objectives
  Fandel Lin
• Safety-Aware Route Navigation: Driving with Less Sun Glare
  Avik Das
• Metric Reasoning in Large Language Models
  Kent O'Sullivan
• Graph-based Spatial Pattern Matching: A Theoretical Comparison
  Nicole Schneider
• MiST: Enhancing Traffic Predictions with a Mixing Spatio-temporal Neural Network
  Zhixiang He
• Exploring User Preferences on Geographical Factors for Personalized POI Search
  Shang Liu
• Proactive Route Planning for Electric Vehicles
  Saeed Nasehibasharzad
• DisasterNeedFinder: A Framework for Understanding the Information Needs in the Noto Earthquake
  Kota Tsubouchi
• Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
  Soto Anno
• Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?
  Soto Anno
• A Multi-modal Geospatial Encoding Network for Chinese Address Matching
  Xuezhang Li
• Road Networks Matching Supercharged With Embeddings
  Hari Krishna Gadi, Huawei, Technical University of Munich;Lu Liu, Huawei;Liqiu Meng, Technical University of Munich
• On the use of open source tools for land use land cover change monitoring
  Aske Schytt Meineche, IT University of Copenhagen
• Collision-Risk-Aware Ship Routing
  Patrik Thomas Michalski, Kiel University;Niko Preuß, Kiel University;Matthias Renz, Kiel University;Andreas Tritsarolis, University of Piraeus;Yannis Theodoridis, University of Piraeus;Nikos Pelekis
• Spatially Adaptive Convolutional Networks with Coordinate-Conditioned Layers
  Heather Baier, College of William and Mary;Dan Runfola, College of William and Mary
• Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning
  Hongyuan Su, BNRist, Tsinghua University;Yu Zheng, BNRist, Tsinghua University;Jingtao Ding, BNRist, Tsinghua University;Depeng Jin, BNRist, Tsinghua University;Yong Li, BNRist, Tsinghua University
• From Geolocated Images to Urban Region Identification and Description: a Large Language Model Approach
  Guido Rocchietti, University of Pisa;Chiara Pugliese, University of Pisa;Gabriel Sartori Rangel
• On Splitting Raw Trajectories
  Areeg Mostafa
• GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping
  Angel Daruna
• T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation
  Lihuan Li
• Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction
  Mingfei Cai, The University of Tokyo;Yanbo Pang, the University of Tokyo;Yoshihide Sekimoto, The University of Tokyo
• Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns
  Naoki Tamura
• Comparing Spatial-Temporal Knowledge Graph on spatial downstream tasks
  Martin Bockling
• Quantifying Geospatial in the Common Crawl Corpus
  Ilya Ilyankou, University College London;Meihui Wang, University College London;Stefano Cavazzi, University College London
• Query Compilation based Distributed Morsel-driven Parallel Spatial Query Processing
  Rahul Sahni
• Address De-duplication using Iterative k-Core Graph Decomposition
  Sriganesh Balamurugan
• OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery
  Philipe Ambrozio Dias
• Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models
  Bin Han
• Bond-Aware Moving Clusters of Atomic Trajectories with Relaxed Persistency
  Abdullah Shamail
• Imitate the Right Data: City-wide Mobility Generation with Graph Learning
  Jiaman Wu, UC Berkeley;Shangqing Cao, UC Berkeley;Giuseppe Perona, UC Berkeley;Marta C. Gonzalez, UC Berkeley, City and Regional Planning, UC Berkeley
• Routing As a Relevance System
  Dragomir Yankov
• Improving Network Robustness via Cellular Infrastructure Sharing: An Empirical Study of Infrastructure Failure with All Cellular Operators in a City
  Zhihan Fang
• Unveiling Human Attributes through Life Pattern Clustering using GPS Data Only
  Kazuyuki Shoji
• PILOT: Piloting the last 100 yards
  Hanan Samet
• MobGLM: A Large Language Model for Synthetic Human Mobility Generation
  Kunyi Zhang, the University of Tokyo;Yanbo Pang, The University of Tokyo;Yurong Zhang, the University of Tokyo;Yoshihide Sekimoto, the University of Tokyo
• A metrological analysis of a modular and iterative aggregation algorithm of GNSS trajectories
  Marie-Dominique Van Damme, IGN/ENSG, LASTIG;Yann Méneroux, IGN/ENSG, LASTIG;Ana-Maria Olteanu-Raimond, IGN/ENSG, LASTIG

Demo Papers

• Building an Extensible Data Ecosystem for Solar Magnetic Polarity Inversion Lines
  Nick Murphy, DMLAB, Georgia State University;Ziba Khani, Georgia State University;Berkay Aydin, Georgia State University
• GESONGEN: An Interface for Generating and Visualizing Geosocial Networks
  Julius Hoffmann
• Creating Moving Regions from Satellite Scan Data
  Florian Heinz
• Pyneapple-L: Scalable Expressive Learning-based Spatial Analysis
  Yongyi Liu, Riverside;Nicolas Lee, Riverside;Ahmed Mahmood, Riverside;Aparna Vivek Sarawadekar, Riverside;Samet Oymak, Riverside
• From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT
  Danil Kononykhin, MISIS;Mikhail Mozikov, AIRI, National University of Science and Technology, MISIS;Kirill Mishtal, MISIS;Dmitrii Abramov, MISIS;Nazar Sotiriadi, AIRI, ISP RAS Research Center for Trusted Artificial Intelligence
• The Patterns of Life Human Mobility Simulation
  Hossein Amiri
• Detecting and Visualizing Bond-Forming Convoys in Atomic and Molecular Trajectories
  Md Hasan Anowar
• Simulating Diffraction by Ray Tracing for Modeling 5G Networks
  Krystian Czapiga
• FleetWiz: An Intelligent Platform for Spatio-Temporal Multi-Resource Truckload Fleet Dispatching
  Saeid Kalantari
• ACCEPT: A Context-Sensitive, Configurable, and Extensible Prediction Tool using Grid-based Data Processing and Neural Networks in Geospatial Decision Support
  Teng-Yuan Tsou, National Cheng Kung University;Shih-Yu Lai, Department of Urban Planning;Jung-Tsang Yeh, National Cheng Kung University;Hsuan-Ching Chen, National Cheng Kung University;Pei-Xuan Li, National Cheng Kung University;Tzu-Chang Lee, National Cheng Kung University;Hsun-Ping Hsieh, National Cheng Kung University
• StopTracker: Real-time Monitoring of Visitor Stops and Preferences Using UWB Trajectory Streams
  Fatima Hachem, University of Milan;Venkata Sudheer Raj Siddabattula, University of Milan;Davide Vecchia, University of Trento;Gian Pietro Picco, University of Trento;Maria Luisa Damiani, University of Milan
• An Efficient System for Automatic Map Storytelling -- A Case Study on Historical maps
  Ziyi Liu
• Walking in the Shade: Shadow-oriented Navigation for Pedestrians
  Yu Feng, Technical University of Munich;Puzhen Zhang, Technical University of Munich;Jiaying Xue, Technical University of Munich;Zhaiyu Chen, Technical University of Munich;Liqiu Meng, Technical University of Munich
• An Infectious Disease Spread Simulation to Control Data Bias
  Ruochen Kong
• Precomputed Spatial Joins for the Complete OpenStreetMap Data
  Hannah Bast, Patrick Brosi, Johannes Kalmbach, Axel Lehmann
• Interactive Assessment of Variances of High-Resolution Model Features in Digital Twin Simulations
  Chhaya Kulkarni
• GreenSpot: Improving Public Transport with GIS-Based AR and Cluster-GCN Recommendation
  Shih-Yu Lai

Data & Resources Papers

• CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl
  Ilya Ilyankou, University College London;Meihui Wang, University College London;Stefano Cavazzi, University College London
• Dockless Electric Scooters Worldwide: Methods and Analysis
  Hassan Ali Khan, North Carolina State University;Muhammad Shahzad, North Carolina State University;Guoliang Jin, North Carolina State University
• GUI: A Comprehensive Dataset of Global Urban Infrastructure Based on Geospatial Visual Foundation Models
  Zhenyu Han, Beijing National Research Center for Information Science and Technology (BNRist);Xin Zhang, Beijing National Research Center for Information Science and Technology (BNRist);Yanxin Xi, Massachusetts Institute of Technology;Tong Xia, University of Cambridge;Yong Li, Beijing National Research Center for Information Science and Technology (BNRist)
• Data and Resources for Combining Point of Interest Semantics, Locations, and Road Networks
  Joseph Zuber

Vision Papers

• SRL: Towards a General-Purpose Framework for Spatial Representation Learning
  Gengchen Mai, University of Texas at Austin;Xiaobai Yao, University of Georgia;Yiqun Xie, University of Maryland, College Park;Jinmeng Rao
• Beyond the Commute: Unlocking the Potential of Electric Vehicles as Future Energy Storage Solutions (Vision Paper)
  Muhammad Aamir Cheema, Australia;Wei Wang, China;Adel Nadjaran Toosi, Australia;Egemen Tanin, Australia;Jianzhong Qi, Australia;Hanan Samet
• Vision: Leveraging Low Earth Orbit Satellites for Future Ubiquitous Positioning
  Sherif Mostafa
• A Geospatial Perspective on Data Ownerships, the Right to be Forgotten, Copyrights, and Plagiarism in Generative AI
  Yaron Kanza
• A roadmap for generative mapping: unlocking the power of generative AI for map-making
  Sidi Wu