23/10/2017
Omar Frits Eriksson
Dean, IALA World-Wide Academy
IWRAP MK2 INTRODUCTION IALA Waterway Risk Assessment Programme Omar - - PowerPoint PPT Presentation
IWRAP MK2 INTRODUCTION IALA Waterway Risk Assessment Programme Omar Frits Eriksson Dean, IALA World-Wide Academy 23/10/2017 Not Rocket Science IWRAP is Probabilistic algorithm Scenario based Quantitative approach 1974 Fujii, et al.
23/10/2017
Omar Frits Eriksson
Dean, IALA World-Wide Academy
Fujii, et al. “Some Factors Affecting the Frequency of Accidents in Marine Traffic.”
Journal of Navigation, Vol. 27, 1974
MacDuff, T.: “The Probability of Vessel Collisions”.
Ocean Industry, September 1974.
Pedersen, P. Terndrup: "Collision and Grounding Mechanics".
IALA Council Approves ”IWRAP Mk I” (2006) Copenhagen calibration test failure (2006) SG decides to start from scratch (2007) New software coding by Gatehouse (2008) Commercial version available (2010) IWRAP Mk2 V/5 Release (China 2017)
Basic License (free to IALA members) Commercial License
R = Risk P = Probability that undesired incident occurs C = Consequences of undesired incident
1. First determine the (average) number of possible incidents, assuming that no evasive action is taken (blind navigation). 2. Then adjust this number by multiplying it with the probability that an evasive action fails (thinning with Fujii type causation factors)
NGnd = Number of Grounding Candidates Pc = Causation Probability XGnd = Number of Annual Groundings
(COWI Consult , 2006)
Number of grounding candidates is proportional to the portional area under the curve times traffic volume
1. Geometric distribution of the ship traffic over the waterway is constant 2. Volume of traffic is constant 3. Composition of traffic is constant 4. Lateral distribution of vessels is constant 5. Causation factors are constant 6. ….. 7. …..
(COWI Consult , 2006)
Number of grounding candidates is proportional to the portional area under the curve times traffic volume
Analyst can set/adjust: Causation factor value For each ship type, what is the probability that the navigatior fails to make an evasive action.
Analyst can set/adjust: blackout frequency repair time probabilities ancoring probability and conditions drifting direction probability
Repair time probability
For each ship type, what is the probability that the navigatior fails to make an evasive action.
Can model non-AIS vessels Fishing vessel behaviour Leisure vessel behaviour Analyst can modify causation factor for each ship type
Results: Collision/ Grounding frequencies Model based on present traffic distribution and waterway geometry Run IWRAP Mk2 Compare with Historical Casualty data
Verification Calibration
Define area to be analysed Gather sea charts, incident data Define route layout / route legs Allocate traffic to route legs Define relevant grounds as polygons Do calculation Calibrate model What-if analysis
Incident data is historical (you want 10 years) Have the conditions changed in this period? New aids to navigation? Has volume of traffic changed? Has the traffic composition changed?
Gaps in time series? Blind spots in geographic coverage? Has the data been downsampled?
Need data for calibrating your model Groundings – often to few registred Collisions – usually good Types of incidents? Positions of incidents? Types of vessels involved?
IWRAP provides default values Significant variation globally Analysts need to form their own view Need to exchange these views
Understand the limitations of IWRAP Understand the waterway conditions Understand waterway history Understand Causation Factors
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