Spatial–temporal travel pattern mining using massive taxi trajectory data
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DOI: 10.1016/j.physa.2018.02.064
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References listed on IDEAS
- Tang, Jinjun & Liu, Fang & Wang, Yinhai & Wang, Hua, 2015. "Uncovering urban human mobility from large scale taxi GPS data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 140-153.
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Cited by:
- Fu, Xin & Xu, Chengyao & Liu, Yuteng & Chen, Chi-Hua & Hwang, F.J. & Wang, Jianwei, 2022. "Spatial heterogeneity and migration characteristics of traffic congestion—A quantitative identification method based on taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
- Xia, Dawen & Jiang, Shunying & Yang, Nan & Hu, Yang & Li, Yantao & Li, Huaqing & Wang, Lin, 2021. "Discovering spatiotemporal characteristics of passenger travel with mobile trajectory big data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
- Dokuz, Ahmet Sakir, 2022. "Weighted spatio-temporal taxi trajectory big data mining for regional traffic estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
- Dokuz, Yesim & Dokuz, Ahmet Sakir, 2023. "Time-persistent regions discovery of taxi trajectory big datasets based on regional spatio-temporal velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
- Tong Zhou & Xintao Liu & Zhen Qian & Haoxuan Chen & Fei Tao, 2019. "Dynamic Update and Monitoring of AOI Entrance via Spatiotemporal Clustering of Drop-Off Points," Sustainability, MDPI, vol. 11(23), pages 1-20, December.
- Chen, Li & Zheng, Linjiang & Xia, Li & Liu, Weining & Sun, Dihua, 2021. "Detecting and analyzing unlicensed taxis: A case study of Chongqing City," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
- Tang, Jinjun & Bi, Wei & Liu, Fang & Zhang, Wenhui, 2021. "Exploring urban travel patterns using density-based clustering with multi-attributes from large-scaled vehicle trajectories," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
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Keywords
Spatial–temporal; Attractive area; Grid-based clustering; Hot path; Trajectory clustering;All these keywords.
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