Abstract
Completely autonomous vehicles in traffic should allow to decrease the number of road accident victims greatly, and should allow gains in terms of performance and economy. Models of the interaction among the different vehicles is one of the main challenges. We propose in this paper a model of communication of knowledge between mobile agents on a traffic network. The model of knowledge and of interaction enables to propagate new knowledge without overloading the system with a too large number of communications. For that, only the new knowledge is communicated, and two agents communicate the same knowledge only once. In order to allow agents to update their knowledge (perceived or created), a notion of degradation is used. A simulator has been built to evaluate the proposal.
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References
Adam, E., Zambrano, G., Pach, C., Berger, T., Trentesaux, D.: Myopic Behaviour in Holonic Multiagent Systems for Distributed Control of FMS. In: Corchado, J.M., Pérez, J.B., Hallenborg, K., Golinska, P., Corchuelo, R. (eds.) Trends in PAAMS. AISC, vol. 90, pp. 91–98. Springer, Heidelberg (2011)
Bazzan, A.L.: A distributed approach for coordination of traffic signal agents. Autonomous Agents and Multi-Agent Systems 10, 131–164 (2005)
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numerische Mathematik 1, 269–271 (1959)
Dresner, K., Stone, P.: Mitigating catastrophic failure at intersections of autonomous vehicles. In: AAMAS Workshop on Agents in Traffic and Transportation, Estoril, Portugal, pp. 78–85 (2008)
Ferber, J.: Multi-agent systems - an introduction to distributed artificial intelligence. Addison-Wesley-Longman (1999)
Jennings, N.R., Sycara, K., Wooldridge, M.: A roadmap of agent research and development. Int. Journal of Autonomous Agents and Multi-Agent Systems 1(1), 7–38 (1998)
Mandiau, R., Champion, A., Auberlet, J.-M., Espié, S., Kolski, C.: Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation. Appl. Intell. 28(2), 121–138 (2008)
Popovici, D., Desertot, M., Lecomte, S., Peon, N.: Context-aware transportation services (cats) framework for mobile environments. IJNGC 2(1) (2011)
Ruskin, H.J., Wang, R.: Modelling Traffic Flow at an Urban Unsignalised Intersection. In: Sloot, P.M.A., Tan, C.J.K., Dongarra, J., Hoekstra, A.G. (eds.) ICCS-ComputSci 2002, Part I. LNCS, vol. 2329, pp. 381–390. Springer, Heidelberg (2002)
Vercouter, L., Jamont, J.-P.: Lightweight trusted routing for wireless sensor networks. In: Demazeau, Y., Pechoucek, M., Corchado, J.M., Pérez, J.B. (eds.) PAAMS. AISC, vol. 88, pp. 87–96. Springer, Heidelberg (2011)
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Adam, E., Mandiau, R., Grislin, E. (2012). Multilevel MAS Architecture for Vehicles Knowledge Propagating. In: Pérez, J., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28762-6_1
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DOI: https://doi.org/10.1007/978-3-642-28762-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28761-9
Online ISBN: 978-3-642-28762-6
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