Enhancing the POI data for trip purpose inference using machine learning techniques
Author:
Affiliation:
1. University of Moratuwa,Department of Transport and Logistics Management,Sri Lanka
Funder
World Bank
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922534.pdf?arnumber=9922534
Reference23 articles.
1. Inferring trip purposes and uncovering travel patterns from taxi trajectory data
2. From trajectories to activities
3. Active travel behavior
4. Inferring the purposes of taxi trips using GPS and POI data considering the destination context
5. Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model;Transportation Research Part C: Emerging Technologies;2024-04
2. Passenger car units for different midblock sections in Sri Lanka under mixed traffic condition;Journal of Applied Engineering Science;2023
3. Extracting large-scale POI data for a defined land area through APIs;2022 International Conference on Data Analytics for Business and Industry (ICDABI);2022-10-25
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