VISIR-I: small vessels - least-time nautical routes using wave forecasts

被引:43
作者
Mannarini, Gianandrea [1 ]
Pinardi, Nadia [1 ,2 ]
Coppini, Giovanni [1 ]
Oddo, Paolo [3 ,5 ]
Iafrati, Alessandro [4 ]
机构
[1] CMCC, Via Augusto Imperatore 16, I-73100 Lecce, Italy
[2] Univ Bologna, Viale Berti Pichat, I-40126 Bologna, Italy
[3] INGV, Via Donato Creti 12, I-40128 Bologna, Italy
[4] CNR, INSEAN, Via Vallerano 139, I-00128 Rome, Italy
[5] NATO, Sci & Technol Org, Ctr Maritime Res & Experimentat, Viale San Bartolomeo 400, I-19126 La Spezia, Italy
关键词
MEDITERRANEAN SEA; DECISION-SUPPORT; SHORTEST-PATH; ALGORITHMS; OPTIMIZATION; REFINEMENT; PREDICTION; NETWORKS; LEVEL; FLOWS;
D O I
10.5194/gmd-9-1597-2016
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A new numerical model for the on-demand computation of optimal ship routes based on sea-state forecasts has been developed. The model, named VISIR (discoVerIng Safe and effIcient Routes) is designed to support decision-makers when planning a marine voyage. The first version of the system, VISIR-I, considers medium and small motor vessels with lengths of up to a few tens of metres and a displacement hull. The model is comprised of three components: a route optimization algorithm, a mechanical model of the ship, and a processor of the environmental fields. The optimization algorithm is based on a graph-search method with time-dependent edge weights. The algorithm is also able to compute a voluntary ship speed reduction. The ship model accounts for calm water and added wave resistance by making use of just the principal particulars of the vessel as input parameters. It also checks the optimal route for parametric roll, pure loss of stability, and surfriding/broaching-to hazard conditions. The processor of the environmental fields employs significant wave height, wave spectrum peak period, and wave direction forecast fields as input. The topological issues of coastal navigation (islands, peninsulas, narrow passages) are addressed. Examples of VISIR-I routes in the Mediterranean Sea are provided. The optimal route may be longer in terms of miles sailed and yet it is faster and safer than the geodetic route between the same departure and arrival locations. Time savings up to 2.7% and route lengthening up to 3.2% are found for the case studies analysed. However, there is no upper bound for the magnitude of the changes of such route metrics, which especially in case of extreme sea states can be much greater. Route diversions result from the safety constraints and the fact that the algorithm takes into account the full temporal evolution and spatial variability of the environmental fields.
引用
收藏
页码:1597 / 1625
页数:29
相关论文
共 81 条
[1]  
Ahuja R.K., 2014, Network Flows
[2]  
Alexandersson M., 2009, THESIS
[3]  
[Anonymous], EGU GEN ASS C
[4]  
[Anonymous], 2003, Maneuvering and Control of Marine Vehicles
[5]  
[Anonymous], 1998, Network optimization: Continuous and discrete models
[6]  
[Anonymous], 2011, BASC PRINC SHIP PROP
[7]  
[Anonymous], 2009, 276 NOAANWSNCEPMMAB
[8]  
Bast H., 2014, Route Planning in Transportation Networks
[9]  
Belenky V. L, 2011, DEV 2 GENERATION INT
[10]  
Benedict K, 2006, PROC MONOGR ENG WATE, P2743