Statistical analysis of fluvial trajectories based on AIS database for the construction of a bridge - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Statistical analysis of fluvial trajectories based on AIS database for the construction of a bridge

Résumé

The French metropolis, Rouen Normandie, has a project of a new bridge requiring temporary pier in the river Seine during the building phase. The location of this pier in the river is constrained by mechanical reasons related to the construction of the bridge. The purpose of this study is to find a position of this pier in the mechanically constrained area which minimizes vessel traffic obstruction and therefore collision risk. This type of study is classically carried out by using complex and multiple vessel dynamics simulation software in order to assess the risk for a given vessel to crash into the pier. The novelty of this study is to propose a statistical study based on the database of Automatic Identification System (AIS) of the Vessel Traffic Service (VTS) that is an automatic tracking system relying on ships transceivers. The technical objective is to identify low risk areas according to vessel speeds and sizes. Both factors should have an impact on the maneuverability of ships to avoid pier collision risk. Among all trajectories, straight line trajectories are selected based on statistical methods. The computation of prediction intervals of these trajectories delimits navigation zone. If all the straight trajectories are taken into account, the navigation zone extends to the whole river surface, which is not an helping result. However, by focusing on large and high speed vessels trajectories the navigation zone of these weak maneuverable ships is more centered in the middle of the river and represents only 25% of the river area. The complement of this area delineates possible locations of the temporary pier of the bridge in the river that do not disrupt vessel traffic.
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Dates et versions

hal-03676872 , version 1 (24-05-2022)

Identifiants

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Pierre Olivier Vandanjon, Alex Coiret, Tristan Lorino. Statistical analysis of fluvial trajectories based on AIS database for the construction of a bridge. CETRA 2022, 7th International Conference on Road and Rail Infrastructure, May 2022, Pula, France. 8p, ⟨10.5592/CO/CETRA.2022.1433⟩. ⟨hal-03676872⟩
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