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The AIMS Conference Series
The scheduling for individual talk is undergoing. If you have any questions please contact your session organizers directly.
Special Session 187: New Trends in Crowd Dynamics and Traffic Flow
Organizer(s): Noureddine igbida , Karami Fahd , El Mahdi Erraji
Parallel Session 12 :: Friday, 07/10, 8:00-10:00 Room 637
8:00-8:30
Noureddine igbida
(Unniveristy of Limoges, France)
A New Class of Non-Linear PDEs for Species Dispersal under Congestion Constraints
8:30-9:00
Hamza Ennaji
(Univ. Grenoble Alpes, CNRS, Grenoble INP*, LJK, France)
On a modified Hughes model for crowd motion
9:00-9:30
Kamal Khalil
(LMAH, University of Le Havre Normandie, FR-CNRS-3335, ISCN, Le Havre 76600, France., France)
Analysis of some pedestrians PDE models for a population under stress
9:30-10:00
Valeria Iorio
(University of L`Aquila, Italy)
Fully discrete follow-the-leader approximation of one-dimensional scalar conservation laws with vacuum
Parallel Session 13 :: Friday, 07/10, 10:30-12:30 Room 637
10:30-11:00
Filippo Santambrogio
(Institut Camille Jordan, France)
Fully discrete methods for Wasserstein gradient flows and crowd motion
11:00-11:30
Francisco Silva
(XLIM, Universite de Limoges, France)
Optimal Control of Sweeping Processes: Theoretical Framework and Numerical Approximation
11:30-12:00
Elisabetta Carlini
(Sapienza University of Rome, Italy)
Error Estimate for a Semi-Lagrangian Scheme for a Time-Dependent Hamilton-Jacobi Equation on Networks
Parallel Session 14 :: Friday, 07/10, 13:30-16:00 Room 637
13:30-14:00
Annette Dumas
(Universit\`e de Limoges, XLIM, France)
Deterministic Mean Field Games with jumps
14:00-14:30
Ahmad Zorkot
(University of Vienna, Austria)
From Mean Field Games to a Hughes-Type Model: A Lagrange-Galerkin Approach
14:30-15:00
Mariam AL KHATIB
(University of Limoges, France)
Congested Crossing Pedestrian Traffic Flow : Dispersion vs. Transport in Crowded Areas
15:00-15:30
Konstantinos Koutsomitis
(Universite Paris Saclay/ LPTMS, France)
Merging agent-based and Mean Field Game descriptions of crowd dynamics