In this paper we describe our practical experience in building a multi-agent information system (MAIS) called Sherpa. We use distributed artificial intelligence architecture to create a multi-agent information system that integrates distributed knowledge sources and information to aid decision makin
A cooperative multi-agent transportation management and route guidance system
β Scribed by Jeffrey L Adler; Victor J Blue
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 775 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0968-090X
No coin nor oath required. For personal study only.
β¦ Synopsis
Developing real-time approaches to manage roadway network congestion over time and space is a difficult problem. While many approaches to solving networking problems have been posed, the roadway routing problem is fundamentally different in that route choice behavior rests solely with the flow entities (drivers). The challenge is to find and implement solutions that achieve an efficient reallocation of network capacity over time and space without seriously violating any individual userΓs preferences for mode, routing, departure, and/or arrival time. This paper proposes a solution approach based on cooperative multi-agent-based principled negotiation between agents that represent network managers, information service providers, and drivers equipped with route guidance systems. It is demonstrated that the cooperative, multi-agent approach is a natural extension of the National ITS Architecture. Furthermore, the approach is highly scalable and adaptable to a variety of networks and user populations.
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