Benedikt Zönnchen

Benedikt Zönnchen
Munich University of Applied Sciences | HM · Department of Computer Science and Mathematics

Dr. rer. nat.
Postdoc

About

16
Publications
4,373
Reads
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113
Citations
Introduction
Starting his research in the field of modeling and simulation of pedestrian streams, Benedikt Zönnchen is currently interested in the communicating ability of artificial intelligence systems and their impact on societies especially in the field of education, sustainable development and culture and art. He teaches Computational Thinking as well as Sustainability and AI.
Additional affiliations
August 2020 - June 2021
Munich University of Applied Sciences
Position
  • Consultant
Description
  • Advisor for CSplus and plusCS education
Education
March 2016 - July 2020
Munich University of Applied Sciences
Field of study
  • Efficient Parallel Algorithm for Pedestrian Simulation
March 2016 - July 2020
Technical University of Munich
Field of study
  • Efficient Parallel Algorithm for Pedestrian Simulation
October 2013 - February 2016
Technical University of Munich
Field of study
  • Implementation of an Efficient Equivalence Test for Sequential and Linear Tree-to-Word Transducers

Publications

Publications (16)
Conference Paper
In the context of rapidly evolving discussions on sustainability and artificial intelligence (AI), understanding the synergies and tensions between these critical areas is increasingly vital. The growing effort towards AI for sustainability must be complemented by the sustainability of developing and using AI systems. To master the associated chall...
Conference Paper
In 2022, the Bavarian Research Institute for Digital Transformation (BIDT) called for digitalization labs, i.e., interdisciplinary teaching curricula among public universities. Digitalization labs promote inclusive and democratic participation in digitalization issues through interdisciplinarity, inquiry-based learning, and project-oriented work. I...
Conference Paper
Full-text available
The ‘digitalization lab sustAInability’ represents an educational initiative, bridging the realms of artificial intelligence (AI) and sustainability within an interdisciplinary, cross-university framework developed collaboratively by experts in computer science, political, social and economic sciences. The primary learning objective is to weave AI...
Conference Paper
Full-text available
Die Lehrveranstaltung „Nachhaltigkeit & KI“ verbindet Konzepte der nachhaltigen Entwicklung mit künstlicher Intelligenz, um Studierende auf komplexe, interdisziplinäre Problemstellungen unserer Zeit vorzubereiten. Ziel ist es, Studierende informatiknaher Studiengänge dabei zu unterstützen, ein fundiertes Verständnis für die Zusammenhänge von Nachha...
Chapter
As many students struggle with the transition from secondary school to academic education, many institutions host a variety of special events to smoothen the student entry phase. However, as many of these events involve the physical gathering of students at a location, they are not feasible in times of a worldwide pandemic. Nevertheless, the needs...
Chapter
UnlikeZönnchen, BenediktKleinmeier, BenediktKöster, Gerta many dynamical systems in physics, there is no universally accepted locomotion model for crowd dynamicsCrowd dynamics. On the contrary, many different approaches compete, of which some are more suitable for a specific scenario, like evacuations, than others. We showcase how to compare micros...
Article
Full-text available
GPGPU computation of microscopic pedestrian simulations has been largely restricted to Cellular Automata and differential equations models, leaving out most agent-based models that rely on sequential updates.We combine a linked-cell data structure to reduce neighborhood complexity with a massive parallel filtering technique to identify agents that...
Chapter
Many microscopic models for crowd dynamics use floor fields to navigate agents through geometries. Recently, dynamic floor fields were introduced which adapt to changes in geometry and the density of crowds. They significantly increase the realism of floor field-based simulations. However, the computation of floor fields is time consuming. In case...
Article
Full-text available
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 ph...
Preprint
Full-text available
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 phy...
Article
Full-text available
Mesh generation is the first step in a wide range of applications including navigation for robots or virtual agents in pedestrian simulations. To find the shortest travel time to a target, a common technique is to solve the eikonal equation on a mesh. We propose EikMesh, an extension of the DistMesh algorithm. EikMesh is a fast parallel mesh genera...
Chapter
Modern pedestrian simulation models have to deal with queuing to obtain realistic results. Queues control the number of pedestrians entering or leaving an area and, through this, the number of pedestrians inside that area. Furthermore, they impede passing pedestrians. But how do humans decide on a queuing strategy? And how does this effect the form...
Conference Paper
Queueing is an essential part of everyday life. In most scenarios pedestrians will join the queue at the tail. But how do we define and compute the tail of a queue? Only in a very restricted scenario pedestrians queue up one by one in a straight line so that a rectangular bounding box is a good approximation of the geometric shape. We develop an al...
Conference Paper
Full-text available
Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Peer-review under responsibility Abstract We incorporate dynamic medium scale navigation in pedestrian motion models to avoid pedestrian groups and, as a new contri-bution, to obtain realistic queue formation...

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