Artificial Neural Networks for the Estimation of Pedestrian Interaction Forces
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Publication:5012168
DOI10.1007/978-3-030-50450-2_2zbMath1471.90053OpenAlexW3036032263MaRDI QIDQ5012168
Stephan Knapp, Simone Goettlich
Publication date: 31 August 2021
Published in: Crowd Dynamics, Volume 2 (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-030-50450-2_2
Artificial neural networks and deep learning (68T07) Traffic problems in operations research (90B20)
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Cites Work
- A hierarchy of heuristic-based models of crowd dynamics
- On the modeling of crowd dynamics: an overview and research perspectives
- Time-evolving measures and macroscopic modeling of pedestrian flow
- Pedestrian flows in bounded domains with obstacles
- A pedestrian flow model with stochastic velocities: microscopic and macroscopic approaches
- Crowd dynamics, Volume 1. Theory, models, and safety problems
- Statistical and computational inverse problems.
- Vision-based macroscopic pedestrian models
- Multiscale modeling of pedestrian dynamics
- Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method
- Approximate models for stochastic dynamic systems with velocities on the sphere and associated Fokker-Planck equations
- PEDESTRIAN FLOW MODELS WITH SLOWDOWN INTERACTIONS
- White and relaxed noises in optimal velocity models for pedestrian flow with stop-and-go waves
- On the Modeling of Traffic and Crowds: A Survey of Models, Speculations, and Perspectives
- Particle methods for pedestrian flow models: From microscopic to nonlocal continuum models
- Stable architectures for deep neural networks
- Inverse Problem Theory and Methods for Model Parameter Estimation
- Parameter Estimation for Macroscopic Pedestrian Dynamics Models from Microscopic Data
- Approximation by superpositions of a sigmoidal function
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