Lateral Traffic Distribution - Revision history

Oferiks at 16:38, 5 April 2009

2009-04-05T16:38:15Z

← Older revision		Revision as of 16:38, 5 April 2009
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	''Figure 11 Illustration of model for predicting the expected number of grounding events or collisions with fixed objects on a given ship route, from [25].''		''Figure 11 Illustration of model for predicting the expected number of grounding events or collisions with fixed objects on a given ship route, from [25].''

	The Lateral Traffic Distribution (LTD) must be modelled for each leg of each route within the area being ~~analyzed~~.		The Lateral Traffic Distribution (LTD) must be modelled for each leg of each route within the area being analysed.

	The IWRAP programme is capable of modelling complex LTD´s.		The IWRAP programme is capable of modelling complex LTD´s.


	== Modelling LTD ''with'' AIS Data ==		== Modelling LTD ''with'' AIS Data ==

Oferiks at 16:37, 5 April 2009

2009-04-05T16:37:55Z

← Older revision		Revision as of 16:37, 5 April 2009
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	The Lateral Traffic Distribution (LTD) must be modelled for each leg of each route within the area being analyzed.		The Lateral Traffic Distribution (LTD) must be modelled for each leg of each route within the area being analyzed.

			The IWRAP programme is capable of modelling complex LTD´s.

	== Modelling LTD ''with'' AIS Data ==		== Modelling LTD ''with'' AIS Data ==

Oferiks at 16:36, 5 April 2009

2009-04-05T16:36:07Z

← Older revision		Revision as of 16:36, 5 April 2009
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	== Modelling LTD ''with'' AIS Data ~~Available~~ ==		== Modelling LTD ''with'' AIS Data ==

	With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic. With the aid of proper statistical AIS tools, the LTD can readily be extracted from the AIS data.		With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic. With the aid of proper statistical AIS tools, the LTD can readily be extracted from the AIS data.
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	The free IALA version of IWRAP does not include any AIS extraction functions however Gatehouse has planned to make available a commercial extension to IWRAP, which automates the extraction of LTD´s fro AIS data.		The free IALA version of IWRAP does not include any AIS extraction functions however Gatehouse has planned to make available a commercial extension to IWRAP, which automates the extraction of LTD´s fro AIS data.

	== Modelling LTD ''without'' AIS Data ~~Available~~ ==		== Modelling LTD ''without'' AIS Data ==

	When AIS or similar data are not available it is quitehard to properly model the LTD.		When AIS or similar data are not available it is quitehard to properly model the LTD.

Oferiks at 16:28, 5 April 2009

2009-04-05T16:28:28Z

← Older revision		Revision as of 16:28, 5 April 2009
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	== ~~Assessing/~~Modelling LTD ''with'' AIS Data Available ==		== Modelling LTD ''with'' AIS Data Available ==

	With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic. With the aid of proper statistical AIS tools, the LTD can readily be extracted from the AIS data.		With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic. With the aid of proper statistical AIS tools, the LTD can readily be extracted from the AIS data.
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	The free IALA version of IWRAP does not include any AIS extraction functions however Gatehouse has planned to make available a commercial extension to IWRAP, which automates the extraction of LTD´s fro AIS data.		The free IALA version of IWRAP does not include any AIS extraction functions however Gatehouse has planned to make available a commercial extension to IWRAP, which automates the extraction of LTD´s fro AIS data.

	== ~~Assessing/~~Modelling LTD ''without'' AIS Data Available ==		== Modelling LTD ''without'' AIS Data Available ==

	When AIS or similar data are not available it is quitehard to properly model the LTD.		When AIS or similar data are not available it is quitehard to properly model the LTD.

Oferiks at 16:27, 5 April 2009

2009-04-05T16:27:58Z

← Older revision		Revision as of 16:27, 5 April 2009
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	The ~~shape of the~~ Lateral Traffic Distribution ~~(LTD)~~ transversal to a route is a strong function of the waterway in question, so one of the major challenges of the present approach is to properly model this distribution along a given route.		The Lateral Traffic Distribution transversal to a route is a strong function of the waterway in question, so one of the major challenges of the present approach is to properly model this distribution along a given route.

	[[Image:20090405 Fig11.jpg\|400px]]		[[Image:20090405 Fig11.jpg\|400px]]
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	The Lateral Traffic Distribution (LTD) must be modelled for each leg of each route within the area being analyzed.		The Lateral Traffic Distribution (LTD) must be modelled for each leg of each route within the area being analyzed.

	== Assessing/Modelling LTD ''~~'WITH'~~'' AIS Data Available ==
			== Assessing/Modelling LTD ''with'' AIS Data Available ==

	With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic. With the aid of proper statistical AIS tools, the LTD can readily be extracted from the AIS data.		With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic. With the aid of proper statistical AIS tools, the LTD can readily be extracted from the AIS data.
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	The free IALA version of IWRAP does not include any AIS extraction functions however Gatehouse has planned to make available a commercial extension to IWRAP, which automates the extraction of LTD´s fro AIS data.		The free IALA version of IWRAP does not include any AIS extraction functions however Gatehouse has planned to make available a commercial extension to IWRAP, which automates the extraction of LTD´s fro AIS data.

	== Assessing/Modelling LTD ''~~'WITHOUT'~~'' AIS Data Available ==		== Assessing/Modelling LTD ''without'' AIS Data Available ==

	When AIS or similar data are not available it is quitehard to properly model the LTD.		When AIS or similar data are not available it is quitehard to properly model the LTD.

Oferiks at 16:26, 5 April 2009

2009-04-05T16:26:11Z

← Older revision		Revision as of 16:26, 5 April 2009
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			The shape of the Lateral Traffic Distribution (LTD) transversal to a route is a strong function of the waterway in question, so one of the major challenges of the present approach is to properly model this distribution along a given route.

			[[Image:20090405 Fig11.jpg\|400px]]

			''Figure 11 Illustration of model for predicting the expected number of grounding events or collisions with fixed objects on a given ship route, from [25].''

	~~[[Image:20090405 Fig11.jpg]]~~		The Lateral Traffic Distribution (LTD) must be modelled for each leg of each route within the area being analyzed.

	~~''Figure 11 Illustration of model~~ for ~~predicting the expected number~~ of ~~grounding events or collisions with fixed objects on a given ship~~ route~~, from [25]~~.''

			== Assessing/Modelling LTD '''WITH''' AIS Data Available ==

			With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic. With the aid of proper statistical AIS tools, the LTD can readily be extracted from the AIS data.

	~~== Assessing/modelling~~ the ~~traffic spread across the route ==~~		The free IALA version of IWRAP does not include any AIS extraction functions however Gatehouse has planned to make available a commercial extension to IWRAP, which automates the extraction of LTD´s fro AIS data.

	~~With access to~~ AIS ~~data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic.~~		== Assessing/Modelling LTD '''WITHOUT''' AIS Data Available ==

	When ~~such~~ data are not available it is ~~a quite involved task~~ to ~~identify~~ the ~~needed data~~.		When AIS or similar data are not available it is quitehard to properly model the LTD.

	Only little guidance has been found in literature on the geometric distribution of the traffic. Typically a normal distribution is selected. Gluver and Olsen [12] proposed to apply a standard deviation equal to ship length. Alternatively the standard deviation of the Gaussian distribution can be selected to be proportional to the vessel breadth,σ = 3,65B. This choice corresponds to a 96% probability of the vessel being within ± 7.5B of the planned route, which again reflects the zone within which the navigator of the vessel identifies safe operation.		Only little guidance has been found in literature on the geometric distribution of the traffic. Typically a normal distribution is selected. Gluver and Olsen [12] proposed to apply a standard deviation equal to ship length. Alternatively the standard deviation of the Gaussian distribution can be selected to be proportional to the vessel breadth,σ = 3,65B. This choice corresponds to a 96% probability of the vessel being within ± 7.5B of the planned route, which again reflects the zone within which the navigator of the vessel identifies safe operation.

	In the study by Karlson et al. [19] the standard deviation of the Gaussian distribution was chosen to 40% of the navigational channel.		In the study by Karlson et al. [19] the standard deviation of the Gaussian distribution was chosen to 40% of the navigational channel.



	{{Theory_Source_PFH}}		{{Theory_Source_PFH}}
	[[Category:Theory]]		[[Category:Theory]]

Oferiks: New page: Image:20090405 Fig11.jpg ''Figure 11 Illustration of model for predicting the expected number of grounding events or collisions with fixed objects on a given ship route, from [25]....

2009-04-05T15:45:57Z

New page: Image:20090405 Fig11.jpg ''Figure 11 Illustration of model for predicting the expected number of grounding events or collisions with fixed objects on a given ship route, from [25]....

New page

[[Image:20090405 Fig11.jpg]]

''Figure 11 Illustration of model for predicting the expected number of grounding events or collisions with fixed objects on a given ship route, from [25].''

== Assessing/modelling the traffic spread across the route ==

With access to AIS data it is a relative straight forward task to assess the probability distribution of the traffic spread across the route as well as the number and the composition of the vessel traffic.

When such data are not available it is a quite involved task to identify the needed data.

Only little guidance has been found in literature on the geometric distribution of the traffic. Typically a normal distribution is selected. Gluver and Olsen [12] proposed to apply a standard deviation equal to ship length. Alternatively the standard deviation of the Gaussian distribution can be selected to be proportional to the vessel breadth,σ = 3,65B. This choice corresponds to a 96% probability of the vessel being within ± 7.5B of the planned route, which again reflects the zone within which the navigator of the vessel identifies safe operation.

In the study by Karlson et al. [19] the standard deviation of the Gaussian distribution was chosen to 40% of the navigational channel.

{{Theory_Source_PFH}}
[[Category:Theory]]