Presentation is loading. Please wait.

Presentation is loading. Please wait.

A Data-Driven Monte Carlo Simulation Model of Vessel Movement in Harbors David Moser, Keith Hofseth, Shana Heisey, Richard Males, Cory Rogers HarborSym.

Similar presentations


Presentation on theme: "A Data-Driven Monte Carlo Simulation Model of Vessel Movement in Harbors David Moser, Keith Hofseth, Shana Heisey, Richard Males, Cory Rogers HarborSym."— Presentation transcript:

1 A Data-Driven Monte Carlo Simulation Model of Vessel Movement in Harbors David Moser, Keith Hofseth, Shana Heisey, Richard Males, Cory Rogers HarborSym HarborSym

2 Flood Damage Reduction Navigation Ecosystem Restoration Hurricane Protection CORPS OF ENGINEERS

3 Coastal Navigation Benefit-cost analysis requiredBenefit-cost analysis required Navigation project benefits:Navigation project benefits: –Reduction in congestion (transportation cost) –Compare future conditions –50 year analysis Standardized, transparent toolsStandardized, transparent tools

4 Photo credit: Containerisation International/Lloyds List/Informa UK Ltd Need for Navigation Modeling Complex Problem Channel width & depth constraintsChannel width & depth constraints Multi-port issuesMulti-port issues Conflicts from random interactionsConflicts from random interactions

5 Navigation Modeling –Single port –Focus on channel improvements

6 HarborSym Model Planning-Level ModelPlanning-Level Model Data InputData Input –Port layout –Vessel Calls –Rules Model CalculationModel Calculation –Vessel interactions within harbor OutputOutput –Time in system –Delay times

7 HarborSym Modeling Objectives PORTABILITY –Port specific information provided in data EASE OF USE –Discrete Event Monte Carlo Simulation Model –C++ / Microsoft Access / Visual Basic TRANSPARENCY –Windows into delay calculations

8 HarborSym Architecture Computational Engine (Simulation Kernel) Database User Interface RUN Report Graphics Output Data Files

9 HarborSym Application Sabine-Neches Waterway Study Area TEXAS MEXICO

10 NODES DocksDocks –133 actual docks –11 virtual docks 10 Turning Basins10 Turning Basins Channel DimensionsChannel Dimensions Proposed ImprovementsProposed Improvements REACHES Single route connecting nodes Uniform dimensions TOTAL: 47 LEG Contiguous reaches Sabine Network

11 Network builder Data entry tables Data explorer Network Graphical User Interface

12 Sabine Transit Rules No sailing (single vessel) –by DWT, length, beam No meeting (multi-vessel) –by DWT, length, breadth, draft, combination No overtaking (multi-vessel) –by vessel type

13 Generic Transit Rules

14 1.Vessel Arrival (departure) Event –Must pass all transit rules in leg to proceed 2.Conflict Checking –Store projected arrival/departure time of vessels in system (by reach) –Test rules in all leg reaches –Vessels already moving have priority 3.If conflict occurs: –Wait, try again –Proceed to anchorage Model Processing Logic

15 Testing Conflicts in Reach

16 Additional HarborSym Features Tidal Influence –Height of water –Strength of current Priority Vessels –Move unrestricted through harbor Cruise Ships, Gaseous TankersCruise Ships, Gaseous Tankers –Others anticipate arrival & face delays

17 tide/current Vessel status Time of day Commodity movements Additional HarborSym Features Within Simulation Animation

18 HarborSym Output Capturing Widening Benefits Time in hours, results from 100 iteration simulation.

19 HarborSym Output Capturing Widening Benefits

20 HarborSym Output Post Process Animation

21 Discussion Discussion


Download ppt "A Data-Driven Monte Carlo Simulation Model of Vessel Movement in Harbors David Moser, Keith Hofseth, Shana Heisey, Richard Males, Cory Rogers HarborSym."

Similar presentations


Ads by Google