TY  - JOUR
T1  - A Comparative Taxonomy of Parallel Algorithms for Crowd Dynamics Models and their Simulators
AU - Moh`d Alia, Osama AU - Mohammad Jaber, Khalid AU - Mahmod Shuaib, Mohammed AU - Maraqa, Randa 
JO  - International Journal of Soft Computing
VL  - 11
IS  - 6
SP  - 427
EP  - 436
PY  - 2016
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2016.427.436
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2016.427.436
KW  - Crowd dynamics models
KW  -crow dynamics simulators
KW  -parallel computing
KW  -performances
KW  -computational
AB  - 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.
ER  -