Multi-link-ahead Conflicts Prediction in Dynamic Seaport Environments

  • Qing Li
  • Jasmine Siu Lee Lam
  • Henry Shing Leung Fan
Part of the Gaming Media and Social Effects book series (GMSE)


Marine traffic conflict is an undesirable event of near misses between two moving vessels. Conflicts occur frequently in port waters and thus result in safety concerns as well as congestion and delays. A conflict between two vessels can be predicted via evaluating the relative positions of the vessels’ domains. This chapter proposes an algorithm to predict likely conflicts multi-links-ahead before vessels actually encounter. A simulation model has been developed as a platform for implementation of conflict prediction in a dynamic traffic environment. An application of the model is demonstrated with the Port of Singapore. Simulation results show that an efficient and proper prediction would be two or three links ahead, and thus enables sufficient time for navigators to take evasive maneuvers.


Port traffic Conflict Conflict prediction  Vessel domain 


  1. Aarsaether KG, Moan T (2007) Combined maneuvering analysis, AIS and full–mission simulation. Int J Mar Navig Saf Sea Transp 1(1):31–36Google Scholar
  2. Coldwell TG (1983) Marine traffic behaviour in restricted waters. J Navig 36(3):430–444CrossRefGoogle Scholar
  3. Davis PV et al (1980) A computer simulation of marine traffic using domains and arenas. J Navig 33(2):215–222CrossRefGoogle Scholar
  4. Debnath AK, Chin HC (2010) Navigational traffic conflict technique: a proactive approach to quantitative measurement of collision risks in port waters. J Navig 63(1):137–152CrossRefGoogle Scholar
  5. Fujii Y, Tanaka K (1971) Traffic capacity. J Navig 24(4):543–552CrossRefGoogle Scholar
  6. Goodwin EM (1975) A statistical study of ship domains. J Navig 28(3):328–344CrossRefGoogle Scholar
  7. Lenart AS (1999) Manoeuvring to required approach parameters-CPA distance and time. Ann Navig 1:99–108Google Scholar
  8. Lenart AS (2000) Manoeuvring to required approach parameters-distance and time abeam. Ann Navig 2:81–88Google Scholar
  9. Li Q, Fan HSL (2012) A simulation model for detecting vessel conflicts within a seaport. Int J Mar Navig Saf Sea Transp 6(1):11–17Google Scholar
  10. Pietrzykowski Z (2008) Ship’s fuzzy domain-a criterion for navigational safety in narrow fairways. J Navig 61(3):499–514Google Scholar
  11. Weng J, Meng Q, Qu X (2012) Vessel collision frequency estimation in the singapore strait. J Navig 65(2):207–221CrossRefGoogle Scholar
  12. Zhao J et al (1993) Comments of ship domains. J Navig 46(3):422–436CrossRefGoogle Scholar
  13. Zhu JQ (2003) Probabilistic conflict risk model for marine traffic within a sea port. Master thesis, Nanyang Technological UniversityGoogle Scholar
  14. Zhu XL et al (2001) Domain and its model based on neural networks. J Navig 54(1):97–103CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Qing Li
    • 1
  • Jasmine Siu Lee Lam
    • 1
  • Henry Shing Leung Fan
    • 1
  1. 1.School of Civil and Environmental EngineeringNanyang Technological UniversityNanyangSingapore

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