Modeling vessel passage speed by using passage-time in restricted areas

• Autorzy: Kasyk L. , Kijewska M.

Identyfikatory

DOI

10.17402/286

• Języki publikacji: EN

Abstrakty

EN

Vessel passage speed is one of the parameters describing the vessel traffic stream on a selected waterway. Knowing the probability distribution of vessel passage speeds is essential for modeling vessel traffic streams on a waterway. This article undertakes probabilistic modeling for vessel speeds in restricted areas, where the distribution of the vessel passage time of the waterway section is known. The probabilistic procedure of the inverse random variable is used. Four different cases are considered. First, the probabilistic distribution of the vessel passage speed is given, where the vessel passage time is described by the normal distribution in certain restricted areas. The next three cases present the probabilistic distribution of vessel passage speeds on the Szczecin–Świnoujście fairway, where the vessel passage time is described by the extreme value distribution, the Frèchet distribution and the Weibull distribution.

Słowa kluczowe

EN

traffic speed; vessel passage speed; traffic time; vessel passage time; vessel traffic stream; probabilistic modeling; probabilistic distribution; inverse random variable; restricted areas; fairway; maritime transport

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2018
• Tom: nr 54 (126)
• Strony: 63--69
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Kasyk L.

• Maritime University of Szczecin 1-2 Wały Chrobrego St., 70-500 Szczecin, Poland

autor

Kijewska M.

• Maritime University of Szczecin 1-2 Wały Chrobrego St., 70-500 Szczecin, Poland

Bibliografia

• 1. Gucma, L. & Schefs, S. (2007) Studium prędkości statków na torze wodnym Świnoujście – Szczecin. Szczecin: Wydawnictwo Akademii Morskiej w Szczecinie.
• 2. Gucma, S., Gucma, L. & Zalewski, P. (2008) Symulacyjne metody badań w inżynierii ruchu morskiego. Szczecin: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie.
• 3. Hou, H., Li, Y., He, W. & Liu, X. (2014) Vessel Traffic Flow Distribution Model of Bridge Area Waterway in the Middle Stream of Yangtze River. Applied Mechanics and Materials 551, pp. 127–133.
• 4. Kasyk, L. (2012) Probabilistyczne metody modelowania parametrów strumienia ruchu statków na akwenach ograniczonych. Radm: Wydawnictwo Uniwersytetu Technologiczno-Humanistycznego w Radomiu.
• 5. Kasyk, L. (2016) Extreme Value Distributions in Analysis of Traffic Time on the Świnoujście – Szczecin Fairway. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 47 (119), pp. 80–84.
• 6. Kasyk, L. & Kijewska, M. (2013) Gumbel Distribution in Analysis of Vessel Speed on the Świnoujście – Szczecin Fairway. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 36 (108) z. 1, pp. 85–89.
• 7. Liu, Z., Fu, Y. & Cong, Y. (2013) The Simulation of Vessel Traffic Flow Based on Congruential Generator. Proceedings of the 2013 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013), Advances in Intelligent Systems Research, pp. 179–182.
• 8. Liu, Z., Liu, J., Li, H., Li, Z., Tan, Z., Liu, R.W. & Liu, Y. (2017) Hierarchical and coupling model of factors influencing vessel traffic flow. PLoS ONE 12(4) e0175840. https: //doi.org/10.1371/journal.pone.0175840
• 9. Majzner, P. (2015) Traffic Processes Models in Traffic Water Engineering Systems. Tools of Transport Telematics, 15th International Conference on Transport Systems Telematics (TST 2015), Wrocław, Poland, 15–17 April 2015, Conference Proceedings, pp. 161–171.
• 10. Wen, Y., Huang, Y., Zhou, C., Yang, J., Xiao, C. & Wu, X. (2015) Modeling of marine traffic flow complexity. Ocean Engineering 104, pp. 500–510.
• 11. Weng, J. & Xue, S. (2015) Ship Collision Frequency Estimation in Port Fairways: A Case Study. The Journal of Navigation 68, pp. 602–618.
• 12. Xu, W., Chu, X., Chen, X. & Li, Y. (2013) Method of Generating Simulation Vessel Traffic Flow in the Bridge Areas Waterway, 2013 International Conference on Computer Sciences and Applications (CSA 2013), Wuhan, China, 14–15 December 2013, Conference Proceedings, pp. 808–812.
• 13. Yoo, S., Jeong, J. & Yim, J. (2015) Estimating Suitable Probability Distribution Function for Multimodal Traffic Distribution Function. Journal of the Korean Society of Marine Environment and Safety 21, 3, pp. 253–258.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).