Cover Image

Uncertainty-Aware Trip Purpose Inference from GPS Trajectories via POI Semantic Zones and Pareto Calibration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Bo, Ma, Haoxuan, Liu, Yifan, Zhang, Zhiyuan, Stanford, Chris, Sun, Morgan, Ma, Jiaqi
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semantic Trajectory Data Mining with LLM-Informed POI Classification
by: Liu, Yifan, et al.
Published: (2024)

GPS-Enhanced Tourist Mobility Modeling with Seasonal Spatial Priors and LLM-Based Activity Chain Generation
by: Liu, Yifan, et al.
Published: (2026)

Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers
by: Ma, Haoxuan, et al.
Published: (2025)

Human Mobility Modeling with Household Coordination Activities under Limited Information via Retrieval-Augmented LLMs
by: Liu, Yifan, et al.
Published: (2024)

Learning Universal Human Mobility Patterns with a Foundation Model for Cross-domain Data Fusion
by: Ma, Haoxuan, et al.
Published: (2025)

Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination
by: Liao, Xishun, et al.
Published: (2025)

Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning
by: Liao, Xishun, et al.
Published: (2024)

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
by: Long, Jing, et al.
Published: (2024)

Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
by: Chen, Zhiyuan, et al.
Published: (2025)

Generative Next POI Recommendation with Semantic ID
by: Wang, Dongsheng, et al.
Published: (2025)

Investigating Vulnerabilities of GPS Trip Data to Trajectory-User Linking Attacks
by: Ströbl, Benedikt, et al.
Published: (2025)

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
by: Zhang, Zheyuan, et al.
Published: (2026)

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models
by: Liu, Yifan, et al.
Published: (2025)

Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
by: Forster, Andrea, et al.
Published: (2025)

Uncertainty-Aware Trajectory Prediction: A Unified Framework Harnessing Positional and Semantic Uncertainties
by: Sun, Jintao, et al.
Published: (2026)

Geometric Calibration and Neutral Zones for Uncertainty-Aware Multi-Class Classification
by: Das, Soumojit, et al.
Published: (2025)

A Two-Stage Trip Inference Model of Purposes and Socio-Economic Attributes of Regular Public Transit Users
by: Chen, Yitong, et al.
Published: (2025)

Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks
by: Wongso, Wilson, et al.
Published: (2025)

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
by: Cheng, Jiawei, et al.
Published: (2025)

Panacea: Pareto Alignment via Preference Adaptation for LLMs
by: Zhong, Yifan, et al.
Published: (2024)

CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
by: Zhong, Lin, et al.
Published: (2025)

Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
by: Zhang, Jinming, et al.
Published: (2026)

OSNIP: Breaking the Privacy-Utility-Efficiency Trilemma in LLM Inference via Obfuscated Semantic Null Space
by: Cao, Zhiyuan, et al.
Published: (2026)

Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes
by: Wang, Zimu, et al.
Published: (2025)

Knowledge Graph Tokenization for Behavior-Aware Generative Next POI Recommendation
by: Sun, Ke, et al.
Published: (2025)

SA-LSPL:Sequence-Aware Long- and Short- Term Preference Learning for next POI recommendation
by: Wang, Bin, et al.
Published: (2024)

BOOKAGENT: Orchestrating Safety-Aware Visual Narratives via Multi-Agent Cognitive Calibration
by: Gao, Bo, et al.
Published: (2026)

Geography-Aware Large Language Models for Next POI Recommendation
by: Liu, Zhao, et al.
Published: (2025)

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
by: Ma, Ziqi, et al.
Published: (2024)

A Two-sided Model for EV Market Dynamics and Policy Implications
by: Ma, Haoxuan, et al.
Published: (2024)

Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
by: Liu, Yao, et al.
Published: (2023)

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
by: Wang, Haoxuan, et al.
Published: (2020)

Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation
by: Wang, Jinze, et al.
Published: (2026)

Act While Thinking: Accelerating LLM Agents via Pattern-Aware Speculative Tool Execution
by: Sui, Yifan, et al.
Published: (2026)

Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information
by: Tamaru, Rei, et al.
Published: (2024)

Reading Calibrated Uncertainty from Language Model Trajectories
by: Eusebi, Aliai, et al.
Published: (2026)

Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
by: Lin, Yuxi, et al.
Published: (2026)

Pareto in Prison
by: Mark A. Morgan, et al.
Published: (2025)

On-Trip Matching and Pricing for Shared Rides
by: Shen, Yifan, et al.
Published: (2026)

Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
by: Yang, Zhen, et al.
Published: (2025)