Author:
Rocha Francisco Wallison,Francesquini Emilio,Cordeiro Daniel
Abstract
The United Nations estimates that the world will reach around 10.4 billion people by 2050. Urban mobility problems already faced by large cities will be worsened, such as the emission of polluting gases into the atmosphere. These problems require innovative solutions. Solutions within the context of smart cities emerge as an alternative, an example of which is simulations. However, large-scale simulations are still a challenge. Techniques such as SimEDaPE emerge to help face these challenges. For this reason, they must be robust techniques to deal with a large volume of data. Therefore, this work presents a new approach using the actor-based model to improve the performance of SimEDaPE. The approach proposed here proved to be 48× than its predecessors.
Publisher
Sociedade Brasileira de Computação
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