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Holonic Modeling of Environments for Situated Multi-agent Systems [chapter]

Sebastian Rodriguez, Vincent Hilaire, Abder Koukam
2006 Lecture Notes in Computer Science  
In a Multi-Agent Based Simulation (MABS) special attention must go to the analysis, modeling and implementation of the environment. Environments for simulation of real world problems may be complex.  ...  In order to support this type of environments, we propose the use of an holonic perspective to represent the environment and the agents.  ...  of environments for multi-agent based simulation.  ... 
doi:10.1007/11678809_2 fatcat:azooxio4vvewro5aftv4dmfuei

Anticipation based on constraint processing in a multi-agent context

A. Doniec, R. Mandiau, S. Piechowiak, S. Espié
2008 Autonomous Agents and Multi-Agent Systems  
For the specific question of simulating traffic at road junctions, our results show that taking anticipation into account allows globally realistic behaviors to be reproduced without provoking gridlock  ...  Many studies in the field of artificial intelligence have investigated the capacity for anticipation.  ...  We gratefully acknowledge the support of these institutions.  ... 
doi:10.1007/s10458-008-9048-7 fatcat:tkiwqyznl5c6vpie5vz3qfga2e

Geosimulation, Automata, and Traffic Modeling [chapter]

Paul M. Torrens
2004 Handbook of Transport Geography and Spatial Systems  
Entities Generally, geosimulation-style pedestrian traffic models provide for the representation of two types of entities: agent-pedestrians and pedestrian obstacles in the built environment.  ...  While the introduction of these tools to traffic simulation has several advantages and offers much potential for the development of more realistic and useful traffic simulation environments, a number of  ... 
doi:10.1108/9781615832538-031 fatcat:ka2jcjvtgnhlrampgjmv3vafyq

Interactive Modeling, Simulation and Control of Large-Scale Crowds and Traffic [chapter]

Ming C. Lin, Stephen Guy, Rahul Narain, Jason Sewall, Sachin Patil, Jatin Chhugani, Abhinav Golas, Jur van den Berg, Sean Curtis, David Wilkie, Paul Merrell, Changkyu Kim (+3 others)
2009 Lecture Notes in Computer Science  
The driving applications of our work include real-time simulation for computer games, virtual environments, and avatar-based online 3D social networks.  ...  We survey some of our recent work on interactive modeling, simulation, and control of large-scale crowds and traffic for urban scenes.  ...  The research presented here is supported in part by Army Research Office, Intel, National Science Foundation, and DARPA/RDECOM.  ... 
doi:10.1007/978-3-642-10347-6_9 fatcat:6ot7xtgf2bgylkctjzogcrro2m

A Needle in a Haystack – How to Derive Relevant Scenarios for Testing Automated Driving Systems in Urban Areas [article]

Nico Weber, Christoph Thiem, Ulrich Konigorski
2021 arXiv   pre-print
Within the scope of this paper, the overall concept of a novel simulation-based toolchain for the development and testing of ADS-equipped vehicles in urban environments is presented.  ...  Second, it is analyzed how to combine the individual advantages of real recorded data and an agent-based simulation within a so-called adaptive replay-to-sim approach to support the testing phase of an  ...  simulation constitutes the part of the environment representation.  ... 
arXiv:2109.03648v1 fatcat:fm5a3obhkfazfeg7rvkmsetika

Conceptual Model of a Self-Organizing Traffic Management Hazard Response System

Michael Bronzini, Rafal Kicinger
2006 Transportation Research Record  
The overall goal of this research is to develop a fundamental understanding of the evolutionary and emergent behavior of transportation systems that are operating under emergency evacuation conditions.  ...  The conceptual model proposes the use of evolutionary algorithms to search the space of the evacuation control strategies and determine the most successful strategies for a given urban area.  ...  Therefore, the environment in an agent-based model is created by the actions of the agents; indeed, in some simulations the agents may be able to modify the assumptions originally placed on the model itself  ... 
doi:10.3141/1942-01 fatcat:aepgx4gtonaujfod2q4lezibvi

Agent-Based Modeling and Simulation

Franziska Klügl, Ana L. C. Bazzan
2012 The AI Magazine  
In order to illustrate the benefits of using ABMS, we focus on several aspects of a well-known area related to simulation of complex systems, namely traffic.  ...  This article gives an introduction to agent-based modeling and simulation (ABMS).  ...  Acknowledgements We would like to thank the reviewers for their valuable suggestions.  ... 
doi:10.1609/aimag.v33i3.2425 fatcat:nrqaryh6ind5hcbljlilmzaxxe

Dynamic Hybrid Traffic Flow Modeling [article]

Hassane Abouaïssa and Yoann Kubera and Gildas Morvan
2014 arXiv   pre-print
In 2013 we started the development of a multi-level agent-based simulator called JAM-FREE within the ISART project.  ...  Thus, in traffic modeling, three levels are generally considered: the micro, meso and macro levels, representing respectively the interactions between vehicles, groups of vehicles sharing common properties  ...  for Research and Technology, the Ministry of Higher Education and Research, and the National Center for Scientific Research (CNRS).  ... 
arXiv:1401.6773v1 fatcat:2rdislhflbelfap6truftaakdy

Simulating Autonomous Driving in Massive Mixed Urban Traffic [article]

Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu
2020 arXiv   pre-print
The core of SUMMIT is a multi-agent motion model, GAMMA, that models the behaviours of heterogeneous traffic agents, and a real-time POMDP planner, Context-POMDP, that serves as a driving expert.  ...  SUMMIT is built as an extension of CARLA and inherits from it the physical and visual realism for autonomous driving simulation.  ...  Technical challenges for crowddriving come from both the complexity of crowd behaviors and map environments.  ... 
arXiv:2011.05767v1 fatcat:hr7f36fctrf7hdmr46eorszxse

Can you simulate traffic psychology? An analysis

Marco Lutzenberger, Sahin Albayrak
2013 2013 Winter Simulations Conference (WSC)  
It is our intention to determine the capabilities of traffic simulation frameworks, to point out perspectives for future research and to provide a guideline for the selection of the right traffic simulation  ...  Based on this analysis we examine the ability of state-of-the-art traffic simulation to account for these factors.  ...  Tang and Wan (2005) describe a multi-agent traffic simulation system for urban environments, which is capable of modeling traffic in response to current road network loading at the time of interest.  ... 
doi:10.1109/wsc.2013.6721537 dblp:conf/wsc/LutzenbergerA13 fatcat:ormx72mrerbcjjr5ycwmbgqsjm

Simulation and evaluation of urban bus-networks using a multiagent approach

David Meignan, Olivier Simonin, Abderrafiâa Koukam
2007 Simulation modelling practice and theory  
We adopt a multiagent approach to describe the global system operation as behaviors of numerous autonomous entities such as buses and travelers.  ...  A wide range of road transportation simulation tools exist with a variety of applications in planning, training and demonstration.  ...  At the opposite, reactive agents do not have representation of their environment. They act following their perceptions, which are very limited.  ... 
doi:10.1016/j.simpat.2007.02.005 fatcat:wlfh7g76vnegvhph443f2ybxgm

Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States [article]

Peter Wolf, Karl Kurzer, Tobias Wingert, Florian Kuhnt, J. Marius Zöllner
2018 arXiv   pre-print
The input for the neural network is a simulated object list similar to that of Radar or Lidar sensors, superimposed by a relational semantic scene description.  ...  This ensures a consistent model of the environment across scenarios as well as a behavior adaptation function, enabling on-line changes of desired behaviors without re-training.  ...  ACKNOWLEDGEMENTS We wish to thank the German Research Foundation (DFG) for funding the project Cooperatively Interacting Automobiles (CoInCar) within which the research leading to this contribution was  ... 
arXiv:1809.03214v1 fatcat:u55npj4ot5ffni7edmcfs373uq

Towards a multi-agent model for visualizing simulated user behavior to support the assessment of design performance

Jan Dijkstra, Harry Timmermans
2002 Automation in Construction  
We introduce the outline of a multi-agent model that can be used for visualizing simulated user behavior to support the assessment of design performance.  ...  The system simulates how agents move around in a particular 3D (or 2D) environment, in which space is represented as a lattice of cells.  ...  This simulation model can be used for large-scale networks and because of the speed capability of the model even for traffic assignment and traffic forecast purposes (Esser and Schreckenberg, 1997) .  ... 
doi:10.1016/s0926-5805(00)00093-5 fatcat:couthzcufzdzhfgu6yp4ixjbkm

A Versatile Description Framework for Modeling Behaviors in Traffic Simulations

Alexandre Bonhomme, Philippe Mathieu, Sebastien Picault
2014 2014 IEEE 26th International Conference on Tools with Artificial Intelligence  
multi-agent environments for traffic simulation and, on the other hand, reproducing real-time traffic state in a simulation (or compare the outputs of a particular hypothesis to the real situation).  ...  Furthermore, in order to ensure maximum reliability in simulation results, it is necessary to configure the environ-ment and agent behaviors on the basis of real data.  ... 
doi:10.1109/ictai.2014.158 dblp:conf/ictai/BonhommeMP14 fatcat:jyy5jjz7hvbqpbjqqynhcmju7q

Individual Behavior Simulation Based on Grid Object and Agent Model

Song, Niu, Li
2019 ISPRS International Journal of Geo-Information  
The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation  ...  Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated.  ...  Modeling the Human in Individual Behavior Simulation Based on the agent model in MAS, modeling the human in the GOAM involves three factors: an individual's attributes, a method for environmental perception  ... 
doi:10.3390/ijgi8090388 fatcat:exv3bgbfd5g3bg3ddzfzgpj57i
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