Detecting Anomalous Bus-Driving Behaviors from Trajectories-Reference-Cited by-同舟云学术

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Detecting Anomalous Bus-Driving Behaviors from Trajectories

Published:2020-09-30 Issue:5 Volume:35 Page:1047-1063
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Wang Zhao-Yang,Jin Bei-Hong,Ge Tingjian,Xue Tao-Feng

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11390-020-9933-3.pdf

Reference33 articles.

1. Liu W, Zheng Y, Chawla S, Yuan J, Xing X. Discovering spatio-temporal causal interaction in traffic data streams. In Proc. the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2011, pp.1010-108.

2. Pan B, Zheng Y, Wilkie D, Shahabi C. Crowd sensing of traffic anomalies based on human mobility and social media. In Proc. the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, November 2013, pp.344-353.

3. Hong L, Zheng Y, Yung D, Shang J, Zou L. Detecting urban black holes based on human mobility data. In Proc. the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, November 2015, Article No. 35.

4. Chen C, Zhang D, Castro P S, Li N, Sun L, Li S, Wang Z. iBOAT: Isolation-based online anomalous trajectory detection. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(2): 806-818.

5. Du B, Liu C, Zhou W, Hou Z, Xiong H. Catch me if you can: Detecting pickpocket suspects from large-scale transit records. In Proc. the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2016, pp.87-96.

Cited by 1 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. What Do We Know When? Modeling Predictability of Transit Operations;IEEE Transactions on Intelligent Transportation Systems;2022-09

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