Name
Abstract | ||
|---|---|---|
With the increasing scale of crowds in public places, the study of modeling crowd evacuation has become a significant research field. However, most previous research ignores to incorporate behavioral heterogeneity of individuals into the modeling framework, making it hard to replicate more realistic evacuation processes. Therefore, a behavioral heterogeneity-based social force model (BHSFM) is proposed to reveal the heterogeneity characteristics from the aspect of individual behavior. Numerical experiments show that the BHSFM provides a general mathematical framework for describing behavioral heterogeneity and forms a more reasonable and elaborate evacuation process. Notably, some interesting evacuation phenomena can emerge by integrating the behavioral heterogeneity coefficient with temporal-spatial dynamic risk indexes. Compared with the social force model (SFM), higher frequencies of small-scale displacements are performed by BHSFM due to more pushing behaviors. Furthermore, the periods and areas of a potential crowd disaster are revealed by our model under different numbers of pedestrians, which has important guiding significance for formulating reasonable evacuation schemes in specific scenarios. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TITS.2022.3140823 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS |
Keywords | DocType | Volume |
Mathematical models, Indexes, Force, Stress, Psychology, Physiology, Dynamics, Crowd dynamics, social force model, behavioral heterogeneity, crowd evacuation, nonlinear system | Journal | 23 |
Issue | ISSN | Citations |
9 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenhan Wu | 1 | 0 | 1.01 |
| Jinghai Li | 2 | 0 | 0.68 |
| Wenfeng Yi | 3 | 0 | 0.34 |
| Xiaoping Zheng | 4 | 2 | 1.18 |