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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
A Novel Through Capacity Model for One-way Channel Based on Characteristics of the Vessel Traffic Flow
1 Wuhan University of Technology, Wuhan, China
2 Hubei Key Laboratory of Inland Shipping Technology, Wuhan, China
3 National Engineering Research Center for Water Transport Safety, Wuhan, China
2 Hubei Key Laboratory of Inland Shipping Technology, Wuhan, China
3 National Engineering Research Center for Water Transport Safety, Wuhan, China
ABSTRACT: Vessel traffic flow is a key parameter for channel-through capacity and is of great significance to vessel traffic management, channel and port design and navigational risk evaluation. Based on the study of parameters of characteristics of vessel traffic flow related to channel-through capacity, this paper puts forward a brand-new mathematical model for one-way channel-through capacity in which parameters of channel length, vessel arrival rate and velocity difference in different vessels are involved and a theoretical calculating mechanism for the channel-through capacity is provided. In order to verify availability and reliability of the model, extensive simulation studies have been carried out and based on the historical AIS data, an analytical case study on the Xiazhimen Channel validating the proposed model is presented. Both simulation studies and the case study show that the proposed model is valid and all relative parameters can be readjusted and optimized to further improve the channel-through capacity. Thus, all studies demonstrate that the model is valuable for channel design and vessel management.
KEYWORDS: Automatic Identification System (AIS), Vessel Traffic Service (VTS), Mathematical Model, Maritime Traffic, Vessel Traffic Flow, One-Way Channel, Xiazhimen Channel
REFERENCES
Yeo, G. T., Roe, M., & Soak, S. M. (2007). Evaluation of the marine traffic congestion of north harbor in busan port. Journal of waterway, port, coastal, and ocean engineering, 133(2), 87-93.
Yang, X., Yang X., &Wang, Z. (2016). Marine Traffic Simulation of Congestion in Restricted Waterway with the Mont Carlo Method [J].Navigation of China, 39(2).
Davis, P. V., Dove, M. J., & Stockel, C. T. (1980). A computer simulation of marine traffic using domains and arenas. Journal of Navigation, 33(02), 215-222.
Fujii, Y., & Tanaka, K. (1971). Traffic capacity. Journal of Navigation, 24(04), 543-552.
Goodwin, E. M. (1975). A statistical study of ship domains. Journal of Navigation, 28(03), 328-344.
Zhu, J., & Zhang, W. (2009). Calculation model of inland waterway transit capacity based on ship-following theory. Journal of Traffic and Transportation Engineering, 9(5), 83–87.
Wang, W., Peng, Y., Song, X., & Zhou, Y. (2015). Impact of Navigational Safety Level on Seaport Fairway Capacity. The Journal of Navigation, 68(6), 1120.
Liu, J., Zhou, F., Li, Z., Wang, M., & Liu, R. W. (2016). Dynamic ship domain models for capacity analysis of restricted water channels. Journal of Navigation, 69(03), 481-503.
Mavrakis, D., & Kontinakis, N. (2008). A queueing model of maritime traffic in Bosporus Straits. Simulation Modelling Practice and Theory, 16(3), 315-328.
Zhou, H., Guo, G., & Wu, B. (2013). Nanjing Yangtze river bridge transit capacity based on queuing theory. Procedia-Social and Behavioral Sciences, 96, 2546-2552.
O'Halloran, M. R., Wahren, K., & Heise, T. (2005). A Dynamic Approach to Determining Waterway Capacity. In Coasts and Ports 2005: Coastal Living-Living Coast; Australasian Conference; Proceedings (p. 161). Institution of Engineers, Australia.
Qu, X., & Meng, Q. (2012). Development and applications of a simulation model for vessels in the Singapore Straits. Exp-ert Systems with Applications, 39(9), 8430-8438.
Almaz, O. A., & Altiok, T. (2012). Simulation modeling of the vessel traffic in Delaware River: Impact of deepening on port performance. Simulation Modelling Practice and Theory, 22, 146-165.
Gucma, L., Bąk, A., & Gucma, M. (2015). Stochastic model of ship traffic congestion in waterways for two different traffic solutions based on the Świnoujście–Szczecin case study. Zeszyty Naukowe/Akademia Morska w Szczecinie.
Wu Z. and Zhu J. (2004). Marine Traffic Engineering. 2nd ed. Dalian: Dalian Maritime University Press
Dong, Y., Jiang, Y., & He, L. (2007). Calculation method of in land waterway’s throughput Capacity. Port and Waterway Engineering, 398(1), 59-65.
Citation note:
Nie Y., Liu K., Xin X., Yu Q.: A Novel Through Capacity Model for One-way Channel Based on Characteristics of the Vessel Traffic Flow. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 11, No. 3, doi:10.12716/1001.11.03.16, pp. 495-502, 2017
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