Patterns to distribute mobility simulations
| Autor: | Mahdi Zargayouna, Matthieu Mastio, Omer Rana, Gerard Scemama |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Test strategy
Context model Computer science Multi-agent system Distributed computing Traffic simulation Context (language use) 02 engineering and technology Supercomputer computer.software_genre 01 natural sciences Virtual machine Server 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 010306 general physics computer Simulation |
| Zdroj: | AICCSA |
| DOI: | 10.1109/aiccsa.2016.7945676 |
| Popis: | Travelers mobility simulation is a powerful tool to test strategies in a virtual environment, without impacting the quality of the real traffic network. However, existing mobility multiagent and micro-simulations can only consider a sample of the real volumes of travelers, especially for big regions. With distributed simulations, it would be easier to analyze and predict the status of nowadays networks. This kind of simulations requires big computational power and methods to split the simulation between several machines. This work describes how to achieve such a distribution in a microscopic simulation context, and compare our results with a previous work on macroscopic simulation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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