2008
DOI: 10.1016/j.simpat.2008.08.015
|View full text |Cite
|
Sign up to set email alerts
|

Holonic multilevel simulation of complex systems: Application to real-time pedestrians simulation in virtual urban environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
37
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
5
3

Relationship

1
7

Authors

Journals

citations
Cited by 56 publications
(37 citation statements)
references
References 13 publications
0
37
0
Order By: Relevance
“…New approaches to modeling a complex system design therefore are interested in extending the agent characteristics with a multi-level agent approach, see [35], [36], [37].The aim is to integrate into a single model the knowledge and/or operating rules from different levels of analysis considered by the system designer. These systems are at the center of various fields such as biomedical research [38], flow modeling [39], social simulation [40], for explanatory insight into the collective behavior of agents obeying simple rules. This makes them particularly difficult to build and verify due to the quantity of data flows to consider and the number of interactions to take into account.…”
Section: Multi-level Agent-based Modeling Approachesmentioning
confidence: 99%
“…New approaches to modeling a complex system design therefore are interested in extending the agent characteristics with a multi-level agent approach, see [35], [36], [37].The aim is to integrate into a single model the knowledge and/or operating rules from different levels of analysis considered by the system designer. These systems are at the center of various fields such as biomedical research [38], flow modeling [39], social simulation [40], for explanatory insight into the collective behavior of agents obeying simple rules. This makes them particularly difficult to build and verify due to the quantity of data flows to consider and the number of interactions to take into account.…”
Section: Multi-level Agent-based Modeling Approachesmentioning
confidence: 99%
“…Its main goal is re-usability and interoperability of different simulators like HLA (High Level Architecture), EXiST or MSI (the Multi Simulation Interface) but its software architecture is completely decentralized and based upon multiagent paradigm. This paradigm allows us to take into account solutions developed in complex systems modeling and multiagent community such as automated parametrization or simulation control [5,3]. In this paper we only highlight how existing simulators interacts withing the framework.…”
Section: Case Studymentioning
confidence: 99%
“…Our agent based mobility model is inspired from urban research and pedestrian modeling [5,7], but can also model classic mobility behaviors (e.g. random waypoint).…”
Section: User Model Descriptionmentioning
confidence: 99%
“…Applying Lyapunov stability of motion conditions as in [6,4], shows that the system is stable when time tends to infinity. Thus, the distance between vehicles tends to the un stretched spring length when the platoon moves without environmental influence, if the condition on rotation angle (θ ∈ [−π/2, π/2]) is verified.…”
Section: Inter-vehicle Distance Stability Proof Based On Energymentioning
confidence: 99%