MVP-Enhanced: A Multi-View Prompt-Enhanced Framework for Trajectory Representation Learning
- 1 November 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 27 (11) , 14066-14079
Abstract
No abstract availableFunding Information
- Guangdong Regional Joint Fund for Basic and Applied Basic Research Fund (2024A1515110203)
This publication has 30 references indexed in Scilit:
- Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics2023
- Contrastive Trajectory Similarity Learning with Dual-Feature Attention2023
- Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning2022
- T3S: Effective Representation Learning for Trajectory Similarity Computation2021
- E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training2021
- A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory dataTransportation Research Part C: Emerging Technologies, 2020
- Deep Representation Learning for Trajectory Similarity Computation2018
- Fast map matching, an algorithm integrating hidden Markov model with precomputationInternational Journal of Geographical Information Science, 2017
- OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networksComputers, Environment and Urban Systems, 2017
- Trajectory clustering via deep representation learning2017