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1A Decentralized Approach for Anticipatory Vehicle Routing using Delegate Multi-Agent Systems
"... Abstract—Advanced vehicle guidance systems use real-time traffic information for routing traffic and avoiding congestion. Unfortunately, these systems are only able to react upon the presence of traffic jams, not to prevent the creation of unneces-sary congestion. Anticipatory vehicle routing is pro ..."
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is promising in that respect, since this allows directing vehicle routing by accounting for traffic forecast information. This paper presents a decentralised approach for anticipa-tory vehicle routing that is particularly useful in large-scale dynamic environments. The approach is based on ‘delegate MAS
Anticipatory Vehicle Routing using Delegate Multi-Agent Systems
"... Abstract — This paper presents an agent-based approach, called delegate multi-agent systems, for anticipatory vehicle routing to avoid traffic congestion. In this approach, individual vehicles are represented by agents, which themselves issue lightweight agents that explore alternative routes in the ..."
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results indicate that delegate multi-agent systems are a promising approach for anticipatory vehicle routing. I.
A decentralized approach for public fast charging of electric vehicles using delegate multi-agent systems.
"... Electric vehicles (EVs) will play a central role in future road traffic. To cope with the limited range and long charging times of such vehicles, a public fast-charging infrastructure will be deployed to recharge EV batteries. A challenge in such an infrastructure is the high costs associated with e ..."
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, and charging stations by CS (charging station) agents. The coordination between these agents is based on the coordination technique “dele-gate multi-agent system (dMAS)”, in which ants are used to delegate charging requirements from EV agents towards CS agents. These ants are repeatedly send out in order
MAINTAINING A DISTRIBUTED SYMBIOTIC RELATIONSHIP USING DELEGATE MULTIAGENT SYSTEMS
"... Online simulation of traffic can assist route guidance systems by predicting problems such as congestion. Accurate predictions require accurate status information about vehicles- the fact that the vehicles are distributed over large-scale road infrastructure makes this particularly challenging. Embe ..."
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Cited by 1 (0 self)
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that uses delegate MultiAgent Systems to reduce the complexity of such symbiotic relationships. Experimental results in a prototype implementation of the route guidance mechanisms show that the approach is feasible and leads to a proactive route guidance mechanisms with the potential of outperforming
VEHICLE ROUTING PROBLEMS WITH THE USE OF MULTI-AGENT SYSTEM
"... Abstract. Increasing number of vehicles on the roads caused the increase of popularity of GPS devices that the drivers can install in their cars. Efficient vehicle routing is very significant task nowadays, as the number of vehicles on the roads is growing rapidly. As many drivers have an ability us ..."
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use a computer while planning their itinerary, they need to have an application to find the best route for them. The paper describes a new approach for path finding problem. The proposition of solving the path finding problem with the use of multi-agent system is proposed. The idea of multi-agent
Cooperative kernel-based forecasting in decentralized multiagent systems for urban traffic networks
- In Ubiquitous Data Mining
, 2012
"... Abstract. The distributed and often decentralised nature of complex stochastic traffic systems having a large amount of distributed data can be represented well by multi-agent architecture. Traditional centralized data mining methods are often very expensive or not feasible because of transmission l ..."
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Cited by 1 (0 self)
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Abstract. The distributed and often decentralised nature of complex stochastic traffic systems having a large amount of distributed data can be represented well by multi-agent architecture. Traditional centralized data mining methods are often very expensive or not feasible because of transmission
A Delegation Based Model for Distributed Trust
, 2001
"... In this paper we outline an infrastructure that facilitates security and trust management in a multi-agent system. Our model eases the problem of authorization in a network of heterogeneous agents and also contains mechanisms for delegation of authorization information. The framework allows age ..."
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Cited by 13 (3 self)
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. The model also uses a policy based approach, to specify rules for authorization and delegation, and a distributed knowledge base, that contains information about the interacting agents. We describe an implemented system that incorporates our framework using X.509 certificates and a Prolog knowledge
A coalition-based metaheuristic for the vehicle routing problem
, 2008
"... Abstract—This paper presents a population based Meta-heuristic adopting the metaphor of social autonomous agents. In this context, agents cooperate and self-adapt in order to collectively solve a given optimization problem. From an evolutionary computation point of view, mechanisms driving the searc ..."
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Cited by 1 (0 self)
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the search consist of combining intensification operators and diversification operators, such as local search and mutation or recombination. The multiagent paradigm mainly focuses on the adaptive capabilities of individual agents evolving in a context of decentralized control and asynchronous communication
A multimodal approach to emergency situations: Modelling with multi-agent system
- In Alessandra Raffaetá and Chiara Renso, editors, Proceedings of the CRGD (Complex Reasoning on Geographical Data) Workshop, ICLP’01 Conference, pages 85–93. CRGD (Complex Reasoning on Geographical Data)Workshop
, 2001
"... This article presents a software architecture whose main goal is supporting the coordination operations during the management of an emergency and in particular during a population evacuation from a risky urban zone. The developed infrastructure helps decision makers to find suitable solutions in cho ..."
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Cited by 1 (0 self)
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like personal assistants. A specific application explains how each component works and how the required data are used, integrated and updated. It also describes a simulation module based on a multi-agent system integrating several human behavioral parameters and fortuitous factors, that has been set up
Delegate MAS patterns for large-scale distributed coordination and control applications
- In Proceedings of the 15th European Conference on Pattern Languages of Programs. ACM
, 2010
"... This paper documents patterns that support coordination in large-scale, dynamic, distributed systems. The patterns are related, and are linked to existing patterns as documented in literature (e.g. by Yaridor and Lange [AL98], Kendall e.a. [KKPS98]). This paper refines the patterns as described in [ ..."
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Cited by 3 (1 self)
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in [HWV09]. The patterns are disciplined flood, propertinerary, smart message, delegate MAS, and delegate ant MAS. Identifying the patterns fosters reuse of particularly useful coordination techniques, and can serve as a catalyst for new or altered approaches. 1. AUDIENCE The patterns in this document
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