Title

Expansion Of The Panama Canal: Simulation Modeling And Artificial Intelligence

Keywords

Discrete-event simulation; Neural networks; Panama canal; Support vector machines; System dynamics

Abstract

This paper discusses the development of a hybrid model using discrete-event simulation and system dynamics of the Panama Canal Expansion. The different operational processes are modeled using the current set of locks and additional processes have been added to reflect the new sets of locks being built. These new set of locks are for Post-Panamax ships and utilize lateral water saving basins. The differential equations model the volume of the lakes taking into considerations additional type of operations (e.g., power generation, drinking water pumping stations, spillways) and natural processes (e.g., rainfall, evaporation, tributaries). Support vector machines are used to model evaporation based on historical data of parameters such as radiance, humidity, temperature, precipitation, and winds and their directions. In addition, neural networks were developed to map the volumes of the lakes to the respective lake levels. The emphasis is on the prediction of the salt water load in the Gatun and Miraflores Lakes due to the expansion. The simulation model utilized the exchange of water and salt based on the mass balance and salt balance equations of the transit process. The simulation model created is compared against historical data and other models developed by different organizations.

Publication Date

1-1-2012

Publication Title

62nd IIE Annual Conference and Expo 2012

Number of Pages

3362-3371

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84900299088 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84900299088

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