# Vadere: An open-source simulation framework to promote interdisciplinary   understanding

**Authors:** Benedikt Kleinmeier, Benedikt Z\"onnchen, Marion G\"odel, Gerta, K\"oster

arXiv: 1907.09520 · 2019-07-24

## TL;DR

Vadere is an open-source pedestrian simulation framework designed to facilitate interdisciplinary research by providing a lightweight, user-friendly platform with multiple models for comparing crowd dynamics approaches.

## Contribution

It introduces a versatile, open-source simulation tool that consolidates various pedestrian models, enabling cross-disciplinary understanding and comparison.

## Key findings

- Provides pre-implemented widely used models
- Enables comparison of different crowd dynamics approaches
- Supports interdisciplinary research and development

## Abstract

Pedestrian dynamics is an interdisciplinary field of research. Psychologists, sociologists, traffic engineers, physicists, mathematicians and computer scientists all strive to understand the dynamics of a moving crowd. In principle, computer simulations offer means to further this understanding. Yet, unlike for many classic dynamical systems in physics, there is no universally accepted locomotion model for crowd dynamics. On the contrary, a multitude of approaches, with very different characteristics, compete. Often only the experts in one special model type are able to assess the consequences these characteristics have on a simulation study. Therefore, scientists from all disciplines who wish to use simulations to analyze pedestrian dynamics need a tool to compare competing approaches. Developers, too, would profit from an easy way to get insight into an alternative modeling ansatz. Vadere meets this interdisciplinary demand by offering an open-source simulation framework that is lightweight in its approach and in its user interface while offering pre-implemented versions of the most widely spread models.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1907.09520/full.md

## Figures

34 figures with captions in the complete paper: https://tomesphere.com/paper/1907.09520/full.md

## References

90 references — full list in the complete paper: https://tomesphere.com/paper/1907.09520/full.md

---
Source: https://tomesphere.com/paper/1907.09520