Concept

Crowd simulation

Related publications (29)

Distributed vs. Centralized Particle Swarm Optimization for Learning Flocking Behaviors

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

In this paper we address the automatic synthesis of controllers for the coordinated movement of multiple mobile robots. We use a noise-resistant version of Particle Swarm Optimization to learn in simulation a set of 50 weights of a plastic artificial neura ...

The MIT Press2015

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems

Giancarlo Ferrari Trecate

This paper proposes a control scheme for distributed sensing using a leader/follower multi-agent architecture. The control objective is to make a group of mobile agents cover and sense a sequence of regions of interest. More specifically, when the leaders ...

2013

Multiscale simulations of protein dynamics

Enrico Spiga

Characteristic timescales associated with the function of biomolecules, like proteins, range from femtoseconds up to minutes, whereas their corresponding spatial extent ranges from few ̊A to μm when associating in large macromolecular complexes. Moreover, ...

EPFL2013

Budgeted Knowledge Transfer for State-wise Heterogeneous RL Agents

Zeynab Talebpour, Farbod Farshidian

In this paper we introduce a budgeted knowledge transfer algorithm for non-homogeneous reinforcement learning agents. Here the source and the target agents are completely identical except in their state representations. The algorithm uses functional space ...

Springer2012

Simple Monte Carlo model for crowd dynamics

Francesco Piazza

In this paper, we introduce a simple Monte Carlo method for simulating the dynamics of a crowd. Within our model a collection of hard-disk agents is subjected to a series of two-stage steps, implying (i) the displacement of one specific agent followed by ( ...

2010

Conception et évaluation d'un prototype de simulation de la morphogenèse urbaine par agents vecteurs multi-échelles

Vitor Silva

The research work of this PhD thesis was carried out in the context of an interdisciplinary project related to the study of urban morphogenesis. A team composed of architects and engineers specialized in GIS technologies have worked together in this projec ...

EPFL2010

Towards system optimum: Finding optimal routing strategies in time dependent networks for large-scale evacuation problems

Gunnar Flötteröd

Disaster and evacuation planning crucially depend on good routing strategies. This article compares two different routing strategies in a multi-agent simulation of a large real world evacuation scenario. The first approach approximates a Nash equilibrium w ...

2009

Inspiring and Modeling Multi-Robot Search with Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Within the field of multi-robot systems, multi-robot search is one area which is currently receiving a lot of research attention. One major challenge within this area is to design effective algorithms that allow a team of robots to work together to find th ...

2007

Simulating learning in interorganizational networks: The insidious role of task interdependence and relational instability in system-level learning

Juan Andrei Villarroel Fernandez

In this paper we develop a multi-agent simulation model to explore the issue of learning in interorganizational networks. Though interorganizational network researchers generally agree that when firms form into networks they will gain access to new knowled ...

2006

Discrete choice models of pedestrian walking behavior

Michel Bierlaire, Gianluca Antonini

We propose a discrete choice framework for pedestrian dynamics, modelling short term behavior of individuals as a response to the presence of other pedestrians. We use a dynamic and individual-based spatial discretization, representing the physical space. ...

2006

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