Applied Mathematics & Information Sciences
Abstract
Incorporating decision making capability into a microscopic crowd dynamic model is an essential factor for introducing a well-representative model for the pedestrian flow. In normal situations, this capability was presented by providing the simulated independent pedestrians in the Social Force Model an investigation ability of their walkways. However, predicting semi-blocked situations by the simulated intelligent pedestrians has not been treated in their investigation. In this paper, the authors describe the investigation capability of independent pedestrians in normal situations. In addition, the prediction aspect is introduced for the simulated independent pedestrians as an extension for the investigation capability to let the model appear more representative of what actually happens in reality. Simulations are performed to validate the work qualitatively by tracing the behavior of the simulated pedestrians and studying the impact of this behavior on their interactions with the grouped pedestrians. Finally, a comparison between the extended model and the original model with regards to the quantitative measurement (the efficiency of motion) is made.
Suggested Reviewers
N/A
Recommended Citation
M. Shuaib, M.; Moh’d Alia, Osama; and Zainuddin, Zarita
(2013)
"Incorporating Prediction Factor into the Investigation Capability in the Social Force Model: Application on Avoiding Grouped Pedestrians,"
Applied Mathematics & Information Sciences: Vol. 07:
Iss.
1, Article 41.
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol07/iss1/41