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A capacity study for vessel traffic using automatic identification system data

Matthias Deceuninck (UGent) , Kurt De Cock (UGent) , Stijn De Vuyst (UGent) , Marc Vantorre (UGent) and Katrien Eloot (UGent)
(2018) p.81-85
Author
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Abstract
In this study, we created a simulation model to assess the overall impact of implementing a one-way traffic policy due to construction works. The inputs of the simulation model are found by performing statistical analysis on data from the Automatic Identification System (AIS). The aim of this study is twofold: (a) map the vessel traffic during the reference period and (b) analyse the congestion for the new traffic conditions. We use a non-homogeneous Poisson process with piecewise linear intensity to model the arrival process. For scenarios with varying arrival intensities, we compare the vessels' waiting times as well as the maximum queue lengths. The latter is important for upstream traffic since there are space constraints.
Keywords
Simulation, Maritime traffic, Capacity study

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Citation

Please use this url to cite or link to this publication:

MLA
Deceuninck, Matthias, et al. A Capacity Study for Vessel Traffic Using Automatic Identification System Data. Eurosis-ETI, 2018, pp. 81–85.
APA
Deceuninck, M., De Cock, K., De Vuyst, S., Vantorre, M., & Eloot, K. (2018). A capacity study for vessel traffic using automatic identification system data. 81–85. Belgium: Eurosis-ETI.
Chicago author-date
Deceuninck, Matthias, Kurt De Cock, Stijn De Vuyst, Marc Vantorre, and Katrien Eloot. 2018. “A Capacity Study for Vessel Traffic Using Automatic Identification System Data.” In , 81–85. Belgium: Eurosis-ETI.
Chicago author-date (all authors)
Deceuninck, Matthias, Kurt De Cock, Stijn De Vuyst, Marc Vantorre, and Katrien Eloot. 2018. “A Capacity Study for Vessel Traffic Using Automatic Identification System Data.” In , 81–85. Belgium: Eurosis-ETI.
Vancouver
1.
Deceuninck M, De Cock K, De Vuyst S, Vantorre M, Eloot K. A capacity study for vessel traffic using automatic identification system data. In Belgium: Eurosis-ETI; 2018. p. 81–5.
IEEE
[1]
M. Deceuninck, K. De Cock, S. De Vuyst, M. Vantorre, and K. Eloot, “A capacity study for vessel traffic using automatic identification system data,” presented at the 16th International Industrial Simulation Conference’ 2018, Ponta Delgada, Portugal, 2018, pp. 81–85.
@inproceedings{8564861,
  abstract     = {{In this study, we created a simulation model to assess the overall impact of implementing a one-way traffic policy due to construction works. The inputs of the simulation model are found by performing statistical analysis on data from the Automatic Identification System (AIS). The aim of this study is twofold: (a) map the vessel traffic during the reference period and (b) analyse the congestion for the new traffic conditions. We use a non-homogeneous Poisson process with piecewise linear intensity to model the arrival process. For scenarios with varying arrival intensities, we compare the vessels' waiting times as well as the maximum queue lengths. The latter is important for upstream traffic since there are space constraints.}},
  author       = {{Deceuninck, Matthias and De Cock, Kurt and De Vuyst, Stijn and Vantorre, Marc and Eloot, Katrien}},
  keywords     = {{Simulation,Maritime traffic,Capacity study}},
  language     = {{eng}},
  location     = {{Ponta Delgada, Portugal}},
  pages        = {{81--85}},
  publisher    = {{Eurosis-ETI}},
  title        = {{A capacity study for vessel traffic using automatic identification system data}},
  year         = {{2018}},
}