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Estimating Port Network Traffic Capacity

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Port capacity is a relevant parameter to estimate the expected performance of a port facility. Many simulation models have been used to predict traffic in ports and waterways, but they do not include provisions for estimating the port’s capacity. The innovative method presented here determines a Port Network Traffic Capacity (PNTC) based on simulation. This method estimates PNTC given the configuration and processing characteristics of the port. It can be a useful tool to apply while designing ports, because only a limited number of simulations are required to estimate of the capacity of the infrastructure under consideration.
Słowa kluczowe
Rocznik
Strony
45--53
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
  • Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Transport & Planning
autor
  • Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Transport & Planning
autor
  • Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Transport & Planning
  • Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, The Netherlands Department of Transport & Planning
Bibliografia
  • 1. van ASPEREN, E., DEKKER, R., POLMAN, M. & de SWAAN ARONS, H. (2003) Modeling ship arrivals in ports. in: Winter Simulation Conference Proceedings. pp. 1737– 1744.
  • 2. DAGANZO, C.F. (1989) The crane scheduling problem. Transp. Res. Part B Methodol. 23. pp. 159–175.
  • 3. DRAGOVIĆ, B., PARK, N.K. & RADMILOVIĆ, Z. (2006) Shipberth link performance evaluation: simulation and analytical approaches. Marit. Policy Manag. 33. pp. 281– 299.
  • 4. FAN, H.S.L. & CAO, J. (2000) Sea space capacity and operation strategy analysis system. Transp. Plan. Technol. 24. pp. 49–63.
  • 5. GEROLIMINIS, N. & DAGANZO, C.F. (2008). Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings. Transp. Res. Part B Methodol. 42. pp. 759–770.
  • 6. GROENVELD, R. (2001) Service Systems in Ports and Inland Waterways. Delft: VSSD.
  • 7. HUANG, S.Y., HSU, W.J. & HE, Y. (2011) Assessing capacity and improving utilization of anchorages. Transp. Res. Part E Logist. Transp. Rev. 47. pp. 216–227.
  • 8. KNOOP, V.L., HOOGENDOORN, S.P. & van LINT, J.W.C. (2012) The Impact of Traffic Dynamics on the Macroscopic Fundamental Diagram. in 92nd Annual Meeting Transportation Research Board, Washington, USA, 13–17 January 2013.
  • 9. LIGTERINGEN, H. & VELSINK, H. (2012) Ports and Terminals. Delft: VSSD.
  • 10. NICOLAOU, S.N. (1967) Berth planning by evaluation of congestion and cost. J. Waterw. Harb. Div. 93. pp. 107– 132.
  • 11. STAHLBOCK, R. & VOß, S. (2007) Operations research at container terminals: a literature update. OR Spectr. 30. pp. 1–52.
  • 12. UNCTAD (1976) United Nations Conference on Trade and Development. Port Performance Indicators.
  • 13. UNCTAD (1985) United Nations Conference on Trade and Development. Port development: A handbook for planners in developing countries.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-aa2b6ec3-27e6-48ca-8623-89c032ade8cb
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