Learning transportation mode from raw gps data for geographic applications on the web

Cited by (616)

Items 601–616 of 616

1. Travel mode identification: a spectral-attention enhanced approach with geographic context
   Yue Ming Huang, Dewei Li, Baoming Han, Zhicheng Dai, Yiran Yu · 2026 · Transportmetrica B Transport Dynamics
2. STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery
   Xiaolin Han, Tianwen Zhang, Yuke Li, Gaukhar Issayeva, Chenhao Ma, Lingyun Song, Xuequn Shang · 2025 · Proceedings
3. Unsupervised Travel Mode Identification with Sparse Location Data
   Kenta Ishii, So Fumiyama, Rieko Otsuka · 2025 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
4. Practically preserving and evaluating location privacy
   Vincent Primault · 2018
5. Spatio-temporal data analytics in the context of environmental crowdsensing
   Hafsa El Hafyani · 2022
6. Deep learning for spatio-temporal multidimensional signals : an application to transport mode detection
   Hugues Moreau · 2021
7. Leveraging machine learning for multi-source data enrichment and analytics in air quality monitoring and crowd sensing
   Mohammad Abboud · 2023 · theses.fr (ABES)
8. Multi-dimensional Feature Guided Knowledge Graph for Travel Mode Identification
   Weidong Zhao, H F Liu, Shuoran Sun, Zhaoyang Ge, Bing Zhou, Shiqi Zhang · 2026 · SSRN Electronic Journal
9. CALRCN: a context-aware attentive long-term recurrent convolutional network for transportation mode identification based on GPS trajectory data
   M. Rasoul Tayebi, Parham Pahlavani · 2026 · Sustainable and Resilient Infrastructure
10. TMD-BMKAN: An Efficient Transportation Mode Detection Method Based on Bidirectional Mamba and KAN
    Zhao Tian, Haobo Zhang, Shaochen Yu, Qiaosen Li, Beibei Zhang, Wei Liu, Wei She · 2026 · Lecture notes in computer science
11. Investigating How Large Language Models Process Trajectory Data: Formats and Prompting Strategies for Transportation Mode Detection
    Yingpeng Li, Hongkai Gu, Nico Van de Weghe, Haosheng Huang · 2026 · Journal of Geovisualization and Spatial Analysis
12. Transportation Mode Classification from GPS Trajectories Using Graph Attention Networks
    Sangrez Khan, Umar Farooq, John Violos, Hanna Kavalionak, Emanuele Carlini, Aris Leivadeas · 2026 · IEEE International Conference on Mobile Data Management (MDM)
13. Semi-supervised asynchronous federated learning for transport mode detection using trajectory data
    Ningkang Yang, Qing-Long Lu, Oleksandr Shtykalo, Iuliia Yamnenko, Constantinos Antoniou · 2025 · Transportation research procedia
14. Translating GPS Data Into High‐Fidelity Labelled Mobile Phone Signalling Data: A Deep Reinforcement Learning Framework for Generating Application‐Ready Cellular Trajectories
    Yulang Huang, Dianhai Wang, Meng Zhang, Jiaqi Zeng, Zhengyi Cai · 2026 · IET Intelligent Transport Systems
15. Class-subspace learning: a SHAP-driven framework for class-aware transportation mode detection
    Akilu Rilwan Muhammad, Ana Aguiar, João Mendes‐Moreira · 2026 · International Journal of Data Science and Analytics
16. Enhancing Driving Direction Time based on Speed Fluctuation and Vehicle Type Identification
    T Vijayakumar, C. Palanisami, T Sripriya · 2014 · International Conference on Innovations in Information, Embedded and Communication Systems