@article{MAKHILLIJSC201611621368,
    title = {A Comparative Taxonomy of Parallel Algorithms for Crowd Dynamics Models and their Simulators},
    journal = {International Journal of Soft Computing},
    volume = {11},
    number = {6},
    pages = {427-436},
    year = {2016},
    issn = {1816-9503},
    doi = {ijscomp.2016.427.436},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2016.427.436},
    author = {Osama,Khalid,Mohammed and},
    keywords = {Crowd dynamics models,crow dynamics simulators,parallel computing,performances,computational},
    abstract = {Massive congestion is a very serious concern that can lead to disasters. The development of crowd
dynamics models and crowd simulation tools is essential to better represent congestion aspects as well as to
evaluate proposed solutions. However, model development normally involves increasing the mathematical
complexity, imposing higher computational demands. This has led researchers to investigate solutions that can
reduce or minimize the computational demands of such models where among them is the parallel computing
approaches. In this study we highlight the application of parallel computing in reducing computational demands
for crowd dynamic simulators while simultaneously improving their performances. This study also includes a
comprehensive overview of the state-of-the-art parallel computing approaches used in crowd dynamic
simulators.}
    }