Simulating Urban Pedestrian Crowds of Different Cultures
| Autor: | Natalie Fridman, Gal A. Kaminka |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Social psychology (sociology) Computer science 05 social sciences 050109 social psychology Pedestrian Pedestrian flow Data science Social agents Theoretical Computer Science Crowd modeling Crowds Artificial Intelligence Urban planning 0502 economics and business 0501 psychology and cognitive sciences Social simulation |
| Zdroj: | ACM Transactions on Intelligent Systems and Technology. 9:1-27 |
| ISSN: | 2157-6912 2157-6904 |
| DOI: | 10.1145/3102302 |
| Popis: | Models of crowd dynamics are critically important for urban planning and management. They support analysis, facilitate qualitative and quantitative predictions, and synthesize behaviors for simulations. One promising approach to crowd modeling relies on micro-level agent-based simulations, where the interactions of simulated individual agents in the crowd result in macro-level crowd dynamics which are the object of study. This article reports on an agent-based model of urban pedestrian crowds, where culture is explicitly modeled . We extend an established agent-based social agent model, inspired by social psychology, to account for individual cultural attributes discussed in social science literature. We then embed the model in a simulation of pedestrians and explore the resulting macro-level crowd behaviors, such as pedestrian flow, lane changes rate, and so on. We validate the model by quantitatively comparing the simulation results to the pedestrian dynamics in movies of human crowds in five different countries: Iraq, Israel, England, Canada, and France. We conclude that the model can faithfully replicate urban pedestrians in different cultures. Encouraged by these results, we explore simulations of mixed-culture pedestrian crowds. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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