Human crowds experience limited individual freedom of motion and tend to exhibit aggregate behavior at high densities. This observation can be exploited in simulations by representing virtual crowds as both distinct agents and continua. We introduce a global planning algorithm suitable for navigating large virtual crowds of agents. These crowds are in turn modeled as unilaterally incompressible fluids to effectively simulate large-scale behavior. The algorithm is ultimately tested on certain specific scenarios with the intention of detecting common emergent behaviors, to finally draw conclusions on its ability to simulate real-life situations.

High-density Real-time Virtual Crowds via Unilaterally Incompressible Fluid Simulation

Effective organization of evacuation routes inside rooms needs to be considered when designing the layout. Studies have shown that an ineffective evacuation can in itself be the cause of injuries i ...

Evaluating Classroom Evacuation with Crowd Simulation

It is of great importance to be able to quickly evacuate big crowds from venues such as concert arenas This paper investigates and compares three different strategies for emergency evacuation of b 

Simulation and evaluation of strategies for emergency evacuation of high-density crowds

Crowd simulations are being used in an increasing number of different applications, like evacuation scenarios, video games and movie special effects This creates a demand for crowd simulators that ...

Crowd Simulation Using Flow Tiles

Crowding force is an important index in evaluating the safety of those within high density crowds. However, studies on high density crowd simulation models have not been sufficiently developed, and related experimental studies are not sufficiently detailed to guide modeling research. Models that can reproduce real high density crowds and enable calibration of key parameters are lacking. In this study, we improved the typical social force model to simulate high density crowd motion with the calculation of crowding forces. To simulate high density crowds, pedestrians were modeled using the three-circle model, and an agent-based pedestrian model was formulated that can regulate the psychological force automatically according to crowd density. An individual crowd density calculation method is proposed that is more suitable for high density crowds. To calculate real crowding force, body stiffness was formulated and the corresponding parameters were calibrated by a series of experiments. Field experiments show that passengers bear greater force on their backs than the force on each shoulder in metro carriage. The modified model was verified by comparing the simulation results with observed data. We applied this model to the Beijing subway, and the theoretical maximum crowd densities in different seasons were calculated from the perspective of crowding force to ensure the safety of passengers, which are 7.2 people/m2 in winter and 10.3 people/m2 in summer. Therefore, to ensure passenger safety, the subway operation department should arrange more trains during winter peak hours.

/pdf/experiment-calibrated-simulation-modeling-of-crowding-forces-1qbctw3xvv.pdf

Experiment Calibrated Simulation Modeling of Crowding Forces in High Density Crowd

To simulate crowds of people is of great social interest and is also believed to be useful when analyzing situations involving denser crowds. Many simulators seen over the years have however been s ...

High Density Simulation of Crowds with Groups in Real-Time

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Jack Shabo

Author Tools

Chat about Author

Papers

High Density Simulation of Crowds with Groups in Real-Time