How to Combine Reactivity and Anticipation: The Case of Conflicts Resolution in a Simulated Road Traffic

Hadouaj, Sameh El; Drogoul, Alexis; Éspié, Stéphane

doi:10.1007/3-540-44561-7_6

Cited by 24 publications

(18 citation statements)

References 7 publications

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“…Decentralized systems in traffic may have several purposes: to attain synchronization of several neighboring intersections on an arterial [4], agent-based macroscopic [46] as well as microscopic simulation of traffic agents [12,25,27,34], and traffic control [33]. In some cases, cooperation is reached by means of a communicationbased, centrally controlled coordination process.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Approach for Coordination of Traffic Signal Agents

Bazzan

2005

Auton Agent Multi-Agent Syst

182

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Innovative control strategies are needed to cope with the increasing urban traffic chaos. In most cases, the currently used strategies are based on a central traffic-responsive control system which can be demanding to implement and maintain. Therefore, a functional and spatial decentralization is desired. For this purpose, distributed artificial intelligence and multi-agent systems have come out with a series of techniques which allow coordination and cooperation. However, in many cases these are reached by means of communication and centrally controlled coordination processes, giving little room for decentralized management. Consequently, there is a lack of decision-support tools at managerial level (traffic control centers) capable of dealing with decentralized policies of control and actually profiting from them. In the present work a coordination concept is used, which overcomes some disadvantages of the existing methods. This concept makes use of techniques of evolutionary game theory: intersections in an arterial are modeled as individually-motivated agents or players taking part in a dynamic process in which not only their own local goals but also a global one has to be taken into account. The role of the traffic manager is facilitated since s/he has to deal only with tactical ones, leaving the operational issues to the agents. Thus the system ultimately provides support for the traffic manager to decide on traffic control policies. Some application in traffic scenarios are discussed in order to evaluate the feasibility of transferring the responsibility of traffic signal coordination to agents. The results show different performances of the decentralized coordination process in different scenarios (e.g. the flow of vehicles is nearly equal in both opposing directions, one direction has a clearly higher flow, etc.). Therefore, the task of the manager is facilitate once s/he recognizes the scenario and acts accordingly.

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Section: Introductionmentioning

confidence: 99%

A Distributed Approach for Coordination of Traffic Signal Agents

Bazzan

2005

Auton Agent Multi-Agent Syst

182

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“…Dentro de este mismo paradigma merecen también destacarse otras, como simulación de flujos de tráfico, en los que cada agente es un conductor al volante que tiene que tomar decisiones en un contexto en el que interpreta, y reacciona ante otros conductores y las características del tráfico (El Hadouaj, Drogoul And Espié, 2001). O simulación de situaciones de emergencia, como el caso de emergencia en un aeropuerto en el que cada agente es un individuo huyendo del fuego hasta encontrar la salida, (Burmeister, Haddadi & Mattilys, 1997).…”

Section: Experiencias De Simulación En Ciencias Sociales Con Smaunclassified

Simulación de procesos sociales basada en agentes software

Menéndez¹,

Hassan²

2007

EMP

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“…In some cases agents in the simulation may interact with humans or other real systems. A characteristic example is the ARCHISIM project, which aims at both simulating a realistic traffic evolution and making the behaviour of the simulated drivers credible for humandrivers placed in a driving simulator [12]. Other projects involve: train new users in a system, predict behaviours of agent-oriented software end-users' actions and construct intelligent buildings [8], or assess modelled systems to subsequent application in the real world (e.g.…”

Section: Types Of Models In Abssmentioning

confidence: 99%

“…For instance, the ARCHISIM [12] model, which simulates a realistic road traffic evolution, presents the following characteristics: (i) the application context is a …”

Section: Technologicalmentioning

confidence: 99%

A Classification of Paradigmatic Models for Agent-Based Social Simulation

Marietto

David

Sichman

et al. 2003

Multi-Agent-Based Simulation III

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Abstract. Given the strong interdisciplinary character of Agent-Based Social Simulation (ABSS), and the difficulties related to ambiguous terminological and methodological assumptions, there is an increasing need to make more explicit the modelling paradigm underlying each research paper or project. In this paper we propose a classification of paradigmatic models in ABSS, which characterise different ontological assumptions and pragmatic criteria with respect to their targets. The classification is composed by different classes of models at different levels of abstraction, in a layered architecture that enables switching among levels. Each class is based on different kinds of assumptions, which possibly call for different logics of scientific research. The taxonomy was well validated with researchers in the field. It seems a good analytical tool for characterising or comparing models according to various criteria, such as methodological, philosophical, or simply pragmatic and usability criteria.

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How to Combine Reactivity and Anticipation: The Case of Conflicts Resolution in a Simulated Road Traffic

Cited by 24 publications

References 7 publications

A Distributed Approach for Coordination of Traffic Signal Agents

A Distributed Approach for Coordination of Traffic Signal Agents

Simulación de procesos sociales basada en agentes software

A Classification of Paradigmatic Models for Agent-Based Social Simulation

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