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Incorporating Prediction Factor into the Investigation Capability in the Social Force Model: Application on Avoiding Grouped Pedestrians |
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PP: 323-331 |
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Author(s) |
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M. M. Shuaib,
Osama Moh’d Alia,
Zarita Zainuddin,
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Abstract |
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| 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. |
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