Virtual Crowd Evacuation: Route Choices of 450+ Human Participants

Experimental data from over 450 human participants capturing dynamic exit route choices in virtual crowd evacuations. Created by Nikolai W. F. Bode and updated in 2020, it compares time-dependent information like queue length against static factors like exit width.

Use Cases

• Developing agent-based simulations that prioritize queue length and speed over static exit widths
• Analyzing the effect of stress treatments on the likelihood of participants adjusting their original exit choice
• Validating Bayesian models of human decision-making in dynamic environments

Strengths

• Includes over 450 human participants
• Differentiates between time-dependent and time-independent decision factors
• Includes a stress-inducing experimental treatment group

Limitations

• Virtual environment behavior may differ from real-world physical evacuation behavior
• Small sample size relative to real-world crowd scales

Provenance

Source

Nikolai W. F. Bode via Dryad

Collection Method

Computer-based experiment with human participants

Time Range

Up to 2020

Freshness

Last updated June 2020; static experimental dataset.