Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
A model is developed for studying marine traffic flow through classical traffic flow theories, which can provide us with a better understanding of the phenomenon of traffic flow of ships. On one hand, marine traffic has its special features and is fundamentally different from highway, air and pedestrian traffic. The existing traffic models cannot be simply extended to marine traffic without addressing marine traffic features. On the other hand, existing literature on marine traffic focuses on one ship or two ships but does not address the issues in marine traffic flow.
Słowa kluczowe
Rocznik
Tom
Strony
109--113
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
- C. Y. Tung International Centre for Maritime Studies, Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong
Bibliografia
- [1] Andersson, K., Hall, W., Atkins, S. & Feron E. 2003. Optimization‐based analysis of collaborative airport arrival planning. Transportation Science, 37(4), 422‐433.
- [2] Debnath, A.K. & Chin, H.C. 2010. Navigational traffic conflict technique: A proactive approach to quantitative measurement of collision risks in port waters. The Journal of Navigation, 63(1): 137‐152.
- [3] Fowler, T.G. & Sorgard, E. 2000. Modeling ship transportation risk. Risk Analysis, 20(2): 225‐244. Gazis, D.C. 2002. Traffic Theory, Kluwer Academic Publishers.
- [4] Goodwin, E.M. 1975. A statistical study of ship domains. The Journal of Navigation, 28(3), 328‐344.
- [5] Hu, Q., Yong, J., Shi, C., & Chen, G. 2010. Evaluation of main traffic congestion degree for restricted waters with AIS reports. International Journal on Marine Navigation and Safety of Sea Transportation, 4(1), 55‐58.
- [6] Hughes, R.L. 2003. The flow of human crowds. Annual Review of Fluid Mechanics, 35: 169‐182.
- [7] Lighthill, M.J. & Whitham, G.B. 1955. On kinematic waves II: A theory of traffic on long crowded roads. Proceedings of the Royal Society of London, 229A: 317‐345.
- [8] Merrick, J.R.W., van Dorp, J.R., Mazzuchi, T., Harrald, J.R., Saphn, J.E. & Grabowski, M. 2002. The Prince William Sound risk assessment. Interface, 23(6): 25‐40.
- [9] Montewka, J., Hinz, T., Jujala, P. & Matusiak, J. 2010. Probability modelling of vessel collisions. Reliability Engineering and System Safety, 95(5): 573‐589.
- [10] Ng, C.O. & Yip, T.L. 2001. Effects of kinetic sorptive exchange on solute transport in open‐channel flow. Journal of Fluid Mechanics, 446(1), 321‐345.
- [11] Park, B.J., Zhang, Y. & Lord, D. 2010. Bayesian mixture modelling approach to account for heterogeneity In speed data. Transportation Research Part B, 44(5): 662‐673.
- [12] Payne, H.J. 1971. Models of freeway traffic and control. Simulation Councils Proceedings. Mathematical Models of Public Systems, 51‐61.
- [13] Pedersen, P.T. 2002. Collision risk for fixed offshore structures close to high‐density shipping lanes. Journal of Engineering for the Maritime Environment, 216(1): 29‐44.
- [14] Pederson, P.T. 2010. Review and application of ship collision and grounding analysis procedures. Marine Structures, 23 (3): 241‐262.
- [15] Pietrzykowski, Z. & Uriasz, J. 2009. The ship domain – A criterion of navigational safety assessment in an open sea area. The Journal of Navigation, 62(1), 93‐108.
- [16] Richards, P.I. 1956. Shock waves on the highways. Operations Research, 4: 42‐51.
- [17] Seong, Y.C., Jeong, J.S. & Park, G.K. 2012. The relation with width of fairway and marine traffic flow. International Journal on Marine Navigation and Safety of Sea Transportation, 6(3), 317‐321.
- [18] Tan, B., & Otay, E.N. 1999. Modelling and analysis of vessel casualties resulting from tanker traffic through narrow waterways. Naval Research Logistics, 46(8): 871‐892.
- [19] USCG 1999. Regulatory Assessment Use of Tugs to Protect Against Oil Spills in the Puget Sound Area, Report No. 9522‐002, United States Coast Guard.
- [20] Wong, G.C.K. & Wong, S.C. 2002. A multi‐class traffic flow model – an extension of LWR model with heterogeneous drivers. Transportation Research Part A, 36(9): 827‐841.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d5d20fc6-e255-43b8-8724-697132d1bd8f