Using hybrid modeling to simulate Maritime Transportation System of Systems (MTSoS)

Author(s):  
Hamid R. Darabi ◽  
Alex Gorod ◽  
Mo Mansouri ◽  
Thomas Wakeman ◽  
Mahmoud Efatmaneshnik
Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 23
Author(s):  
Rebecca Sheehan ◽  
Dimitrios Dalaklis ◽  
Anastasia Christodoulou ◽  
Megan Drewniak ◽  
Peter Raneri ◽  
...  

The analysis in hand provides a brief assessment of the United States’ and Canada’s marine transportation system and relevant search and rescue (SAR) support in relation to the Northwest Passage, with the purpose of examining to what extent these countries’ relevant infrastructure resources are able to meet the expected growth of shipping operations and business activities in the Arctic. Through an extensive literature review, this assessment will specifically describe the most important influences upon the maritime transportation system, with the issue of certain geographical details and the capabilities of existing ports standing out. Additionally, vessel activity trends and vessel traffic routing measure initiatives will be examined. Furthermore, the SAR infrastructure details and means to render assistance to people in distress along the Northwest Passage will be discussed. The reality remains that port characteristics are limited and vessel traffic routing measure initiatives and upgrades to SAR assets are commendable but slow-paced. It is true that both the United States and Canada are taking proper measures to build up infrastructure needs, but they both may run out of time to put adequate infrastructure in place to deal effectively with the changing environment.


2017 ◽  
Vol 139 (8) ◽  
Author(s):  
Ibrahim M. Chamseddine ◽  
Michael Kokkolaras

Previous work in air transportation system-of-systems (ATSoSs) design optimization considered integrated aircraft sizing, fleet allocation, and route network configuration. The associated nested multidisciplinary formulation posed a numerically challenging blackbox optimization problem; therefore, direct search methods with convergence properties were used to solve it. However, the complexity of the blackbox impedes greatly the solution of larger-scale problems, where the number of considered nodes in the route network is high. The research presented here adopts a rule-based route network design inspired by biological transfer principles. This bio-inspired approach decouples the network configuration problem from the optimization loop, leading to significant numerical simplifications. The usefulness of the bio-inspired approach is demonstrated by comparing its results to those obtained using the nested formulation for a 15 city network. We then consider introduction of new aircraft as well as a larger problem with 20 cities.


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