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TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change

  • Published:2020-05 Issue:5 Volume:21 Page:2012-2028
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chen ChaoORCID,Ding Yan,Xie Xuefeng,Zhang ShuORCID,Wang ZhuORCID,Feng LiangORCID

Funder

National Key Research and Development Project of China

National Science Foundation of China

Fundamental Research Funds for the Central Universities

Frontier Interdisciplinary Research Funds for the Central Universities

Chongqing Basic and Frontier Research Program

Ministry of Education in China Humanities and Social Sciences Youth Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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1. DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data;IEEE Transactions on Knowledge and Data Engineering;2024-10

2. Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling;International Journal of Geographical Information Science;2024-08-19

3. Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories;Transportation Research Part C: Emerging Technologies;2024-06

4. LaTAS-F: Locality-aware transformer architecture search with multi-source fusion for driver continuous braking intention inference;Expert Systems with Applications;2024-05

5. Trajectory Map Matching Methods Based on Stream Computing and Mutual Voting;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26
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