• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. A pedestrian movement model for 3D visualization in a driving simulation environment
 
  • Details
  • Full
Options
2022
Conference Paper
Title

A pedestrian movement model for 3D visualization in a driving simulation environment

Abstract
In this paper a pedestrian model is introduced that builds on the Social Force Model and enhances it with various features. The main goal of this model is to produce more natural looking pedestrian movements in 3D-visualizations. This model aims to generate more realistic trajectories in situations where pedestrians evade each other, for example on narrow sidewalks. Unlike the Social Force Model, it takes the current velocity and walking direction of surrounding pedestrians into account. Additionally, this model lets pedestrians react on approaching opponents sooner and reduces unnatural body rotations. Through the above mentioned features, collisions of pedestrians are reduced, as well.
Author(s)
Neubauer, Maximilian  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Ruddeck, Géraldine
Mercedes-Benz AG
Schrab, Karl
Daimler Center for Automotive Information Technology Innovations -DCAITI-
Protzmann, Robert  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Radusch, Ilja
Daimler Center for Automotive Information Technology Innovations -DCAITI-
Mainwork
IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2022  
Conference
International Symposium on Distributed Simulation and Real Time Applications 2022  
Open Access
DOI
10.1109/ds-rt55542.2022.9932038
10.24406/publica-462
File(s)
A_Pedestrian_Movement_Autorenversion.pdf (1.09 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • social force model

  • pedestrian simulation

  • bidirectional flows

  • collision avoidance

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024