“Mesoscopic modeling of pedestrian movement using Carma and its tools” uses Carma (Collective Adaptive Resource-sharing Markovian Agents), a specification language recently introduced for modeling CAS, to model spatially distributed systems in which the desired model lies between an individual-based (microscopic) and a population-based (macroscopic) spatial model. The impact on the system dynamics of changes to the topology of paths is studied via simulation. The provided experiments show that it is difficult to predict the effect of changes to the network structure and that even small variations can produce significant effects. This replicated computations results report focuses on the prototypical tool implementation used in the article to perform such analysis. The software was straightforward to install and use, and all the experimental results from the article could be reproduced.
Replicated computations results (RCR) report for “mesoscopic modelling of pedestrian movement using carma and its tools”
Michele Loreti
2018-01-01
Abstract
“Mesoscopic modeling of pedestrian movement using Carma and its tools” uses Carma (Collective Adaptive Resource-sharing Markovian Agents), a specification language recently introduced for modeling CAS, to model spatially distributed systems in which the desired model lies between an individual-based (microscopic) and a population-based (macroscopic) spatial model. The impact on the system dynamics of changes to the topology of paths is studied via simulation. The provided experiments show that it is difficult to predict the effect of changes to the network structure and that even small variations can produce significant effects. This replicated computations results report focuses on the prototypical tool implementation used in the article to perform such analysis. The software was straightforward to install and use, and all the experimental results from the article could be reproduced.File | Dimensione | Formato | |
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