Abstract
Completely autonomous vehicles should allow to decrease greatly the number of accident victims, and should allow gains in terms of performance and economy. Interactions among the different vehicles allowing them to choose the best path, the best behaviour is one of the main challenges. We propose in this paper a model of volatile knowledge dedicated to mobile agents on a traffic network. This model of knowledge and the principles of interactions allow to propagate new knowledge with a limited number of messages. For that, a degradation coefficient of the knowledge is proposed. The principles have been validated by a simulation with software agents, and by a real application on mobile robots acting like autonomous vehicles.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dresner, K., Stone, P.: Mitigating catastrophic failure at intersections of autonomous vehicles. In: AAMAS Workshop on Agents in Traffic and Transportation, Portugal, pp. 78–85 (May 2008)
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)
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 2002, Part I. LNCS, vol. 2329, pp. 381–390. Springer, Heidelberg (2002)
Klügl, F.: Agent-based simulation engineering. Habilitation thesis (July 2009)
Macal, C.M., North, M.J.: Agent-based modeling and simulation: ABMS examples. In: Proceedings of the 40th Conference on Winter Simulation, WSC 2008, pp. 101–112 (2008)
Allen, T.M., Lunenfeld, H., Alexander, G.J.: Driver information needs. Highway Research Board 36, 102–115 (1971)
Lochert, C., Hartenstein, H., Tian, J., Fussler, H., Hermann, D., Mauve, M.: A routing strategy for vehicular ad hoc networks in city environments. In: Proceedings of the IEEE Intelligent Vehicles Symposium, pp. 156–161 (2003)
Bazzan, A.L.: A distributed approach for coordination of traffic signal agents. Autonomous Agents and Multi-Agent Systems 10, 131–164 (2005)
Brooks, R.: Intelligence without representation. Artificial Intelligence 47, 139–159 (1991)
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 2011. AISC, vol. 88, pp. 87–96. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Adam, E., Grislin, E., Mandiau, R. (2014). Autonomous Agents in Dynamic Environment: A Necessary Volatility of the Knowledge. In: Bajo Perez, J., et al. Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. Advances in Intelligent Systems and Computing, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-07476-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-07476-4_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07475-7
Online ISBN: 978-3-319-07476-4
eBook Packages: EngineeringEngineering (R0)