Archief Prof. Ir. J.J. Peters

Over het archief

In 2012 verloren we Jean Jacques Peters, voormalig ingenieur van het Waterbouwkundig Laboratorium (1964 tot 1979) en internationaal expert in sedimenttransport, rivierhydraulica en -morfologie. Als eerbetoon aan hem hebben we potamology (http://www.potamology.com/) gecreëerd, een virtueel gedenkarchief dat als doel heeft om zijn manier van denken en morfologische aanpak van rivierproblemen in de wereld in stand te houden en te verspreiden.

Het merendeel van z’n werk hebben we toegankelijk gemaakt via onderstaande zoekinterface.

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Global path planning for inland vessels based on fast marching algorithm He, H.; Mansuy, M.; Verwilligen, J.; Delefortrie, G.; Lataire, E. (2024). Global path planning for inland vessels based on fast marching algorithm. Ocean Eng. 312: 119172. https://dx.doi.org/10.1016/j.oceaneng.2024.119172 In: Ocean Engineering. Pergamon: Elmsford. ISSN 0029-8018; e-ISSN 1873-5258

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Beschikbaar in	Auteurs
Waterbouwkundig Laboratorium: Non-open access 408901 [ aanvragen ]

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Trefwoorden

Autonomous navigation Harbours and waterways > Ship motion Simulations

Author keywords

Path planning; Inland navigation; Fast marching; Water depth; Distance to border; Preference zone

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Auteurs		Top
He, H. Mansuy, M. Verwilligen, J.	Delefortrie, G. Lataire, E.

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Abstract

Ship path planning is essential for enhancing navigation safety, shipping efficiency, cost savings and autonomy. This paper presents a path planning algorithm specifically designed for inland vessels, exemplified on the Western Scheldt waterway area from Hansweert to Bath in the Netherlands (known as the area of Schaar van Valkenisse). The algorithm utilizes the fast marching (FM) method to generate safe and cost-efficient paths for both autonomous and conventional navigation, considering factors such as water depth, distance to waterway borders, preferential navigation zones (e.g. starboard side and parallel routes), ship dimensions, and manoeuvring characteristics. The fast marching algorithm uses starting points and a velocity grid, generated based on the aforementioned factors, to produce an arrival time map. The velocity here represents preferences for deeper water, and wider and starboard navigation zones. Subsequently, a gradient descent algorithm is applied to determine the fastest route from the destination to the starting point on the arrival time map. To ensure the route is navigable, the optimal path is updated to a Dubins path that satisfies the ships’ dynamic constraints by using a so-called Dubins model filter. Case studies with various navigation scenarios demonstrate that the path planning tool can provide expected results with tunable parameters allowing for customized preferences. This work can further assist in predicting paths for a traffic study, designing fairways, aids to navigation and can possibly serve as an operational tool to assess the accessibility of a (alternative) fairway.

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