Data analysis and mining of traffic features based on taxi GPS trajectories: A case study in Beijing-Reference-Cited by-同舟云学术

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Data analysis and mining of traffic features based on taxi GPS trajectories: A case study in Beijing

Published:2019-05-10 Issue:3 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Liu Chun¹^ORCID,Wang Shuangyan²^ORCID,Cuomo Salvatore³^ORCID,Mei Gang²^ORCID

Affiliation:

1. School of Automation Beijing University of Posts and Telecommunications Beijing China

2. School of Engineering and Technology China University of Geosciences (Beijing) Beijing China

3. Department of Mathematics and Applications “R. Caccioppoli” University of Naples Federico II Naples Italy

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5332

Reference21 articles.

1. Design and Application of an Attractiveness Index for Urban Hotspots Based on GPS Trajectory Data

2. Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

3. R-Sharing: Rendezvous for Personalized Taxi Sharing

4. Automatic intersection and traffic rule detection by mining motor-vehicle GPS trajectories

5. Analyzing Urban Human Mobility Patterns through a Thematic Model at a Finer Scale

Cited by 7 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. Unveiling urban traffic accessibility patterns and phase diagrams of traffic direction through real-time navigation data in Beijing;Information Processing & Management;2024-05

2. Revealing influence of meteorological conditions and flight factors on delays Using XGBoost;Journal of Computational Mathematics and Data Science;2022-06

3. A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle History Spatio-Temporal Trajectory Data;ISPRS International Journal of Geo-Information;2022-03-20

4. A Novel Trajectory Based Prediction Method for Urban Subway Design;ISPRS International Journal of Geo-Information;2022-02-10

5. A Weight Assignment Algorithm for Incomplete Traffic Information Road Based on Fuzzy Random Forest Method;Symmetry;2021-08-29

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