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Real Time Anomalous Trajectory Detection and Analysis

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Abstract

GPS-equipped taxis can be considered as pervasive sensors and the large-scale digital traces produced allow us to reveal many hidden facts about the city dynamics and human behaviors. In this paper we present a novel GPS-based taxi system which can detect ongoing anomalous passenger delivery behaviors leveraging our proposed iBOAT method. To achieve real time monitoring, we reduce the response time of iBOAT by more than five times with an inverted index mechanism adopted. We evaluate the effectiveness of the system with large scale real life taxi GPS records while serving 200,000 taxis. With this system, we obtain about 0.44 million anomalous trajectories out of 7.35 million taxi delivery trips, which correspond to 7600 taxis’ GPS records in one month time in the city of Hangzhou, China. Through further analysis of these anomalous trajectories, we observe that: (1) Over 60 % of the anomalous trajectories are “detours” that travel longer distances and time than normal trajectories; (2) The average trip length of drivers with high-detour tendency is 20 % longer than that of normal drivers; (3) The length of anomalous sub-trajectories is usually less than a third of the entire trip, and they tend to begin in the first two thirds of the journey; (4) Although longer distance results in a greater taxi fare, a higher tendency to take anomalous detours does not result in higher monthly revenue; and (5) Taxis with a higher income usually spend less time finding new passengers and deliver them in faster speed.

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References

  1. Brian ZD, Maas AL, Dey AK, Bagnell JA (2008) Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior. In: Proceedings of the 10th international conference on ubiquitous computing. Seoul, Korea, pp 322–331

  2. Bu Y, Chen L, Fu AW, Liu D (2009) Efficient anomaly monitoring over moving object trajectory streams. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, pp 159–168

  3. Chen C, Zhang D, Castro PS, Li N, Sun L, Li S (2011) Real-time detection of anomalous taxi trajectories from incoming GPS traces. In: Proceedings of the 8th international ICST conference on mobile and ubiquitous systems

  4. Faghri A, Hamad K (2002) Application of GPS in traffic management systems. GPS Solutions 5:52–60

    Article  Google Scholar 

  5. Ge Y, Xiong H, Liu C, Zhou Z-H (2011) A taxi driving fraud detection system. In: Proceedings of the IEEE international conference on data mining, pp 181–190

  6. Ge Y, Xiong H, Zhou Z, Ozdemir H, Yu J, Lee K (2010) Top-eye: top-k evolving trajectory outlier detection. In: Proceedings of the 19th ACM international conference on information and knowledge management, pp 1733–1736

  7. Lazer D, Pentland A, Adamic L, Aral S, Barabasi A-L, Brewer D, Christakis N, Contractor N, Fowler J, Gutmann M, Jebara T, King G, Macy M, Roy D, Van Alstyne M (2009) Computational social science. Science 323(5915):721–723

    Article  Google Scholar 

  8. Lee J-G, Han J, Li X (2008) Trajectory outlier detection: a partition-and-detect framework. In: Proceedings of IEEE international conference on data engineering, pp 140–149

  9. Li B, Zhang D, Sun L, Chen C, Li S, Qi G, Yang Q (2011) Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset. In: IEEE international conference on pervasive computing and communications workshops (PERCOM Workshops), pp 63–68

  10. Liao Z (2003) Real-time taxi dispatching using global positioning systems. Commun ACM 46:81–83

    Article  Google Scholar 

  11. Liu L, Andris C, Ratti C (2010) Uncovering cabdrivers’ behavior patterns from their digital traces. Comput Environ Urban Syst 34:541–548

    Article  Google Scholar 

  12. Phithakkitnukoon S, Veloso M, Bento C, Biderman A, Ratti C (2010) Taxi-aware map: identifying and predicting vacant taxis in the city. In: Ambient intelligence: first international joint conference. Malaga, Spain, pp 86–95

  13. Qi G, Li X, Li S, Pan G, Wang Z, Zhang D (2011) Measuring social functions of city regions from large-scale taxi behaviors. In: The 9th IEEE international conference on pervasive computing and communications, WIP. Seattle, USA, pp 384–388

  14. Quiroga CA, Bullock D (1998) Travel time studies with global positioning and geographic information systems: an integrated methodology. Transp Res, Part C Emerg Technol 6:101–127

    Article  Google Scholar 

  15. Quiroga C, Bullock D (1999) Measuring control delay at a signalized intersections. J Transp Eng 125:271–280

    Article  Google Scholar 

  16. Veloso M, Phithakkitnukoon S, Bento C (2011) Urban mobility study using taxi traces. In: Proceedings of the 2011 international workshop on trajectory data mining and analysis. New York, USA, pp 23–30

  17. Yuan J, Zheng Y, Zhang C, Xie W, Xie X, Huang Y (2010) T-drive: driving directions based on taxi trajectories. In: Proceedings of the 18th ACM international conference on advances in geographic information systems. San Jose, CA, pp 99–108

  18. Yuan J, Zheng Y, Zhang L, Xie X, Sun G (2011) Where to find my next passenger? In: Proceedings of the 13th ACM international conference on ubiquitous computing. Beijing, China, pp 109–118

  19. Zhang D, Guo B, Yu Z (2011) The emergence of social and community intelligence. IEEE Computer 44:21–28

    Article  Google Scholar 

  20. Zhang D, Li N, Zhou Z-H, Chen C, Sun L, Li S (2011) iBAT: detecting anomalous taxi trajectories from GPS traces. In: Proceedings of the 13th ACM international conference on ubiquitous computing, pp 99–108

  21. Zheng Y, Liu Y, Yuan J, Xie X (2011) Urban computing with taxicabs. In: Proceedings of the 13th ACM international conference on ubiquitous computing, pp 89–98

  22. Zheng Y, Zhang L, Xie X, Ma W-Y (2009) Mining interesting locations and travel sequences from GPS trajectories. In: Proceedings of the 18th international conference on World Wide Web, pp 791–800

  23. Zobel J, Moffat A (2006) Inverted files for text search engines. ACM Comput Surv 38:1–56

    Article  Google Scholar 

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Authors and Affiliations

  1. RST Department, Institut Mines-TELECOM/TELECOM SudParis, Evry, 91011, France

    Lin Sun, Daqing Zhang, Chao Chen & Pablo Samuel Castro

  2. College of Computer Science, Zhejiang University, Hangzhou, 310027, China

    Shijian Li & Zonghui Wang

Authors
  1. Lin Sun
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  2. Daqing Zhang
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  3. Chao Chen
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  4. Pablo Samuel Castro
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  5. Shijian Li
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  6. Zonghui Wang
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Correspondence to Daqing Zhang.

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Sun, L., Zhang, D., Chen, C. et al. Real Time Anomalous Trajectory Detection and Analysis. Mobile Netw Appl 18, 341–356 (2013). https://doi.org/10.1007/s11036-012-0417-8

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  • DOI: https://doi.org/10.1007/s11036-012-0417-8

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