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Published in:
2016 | OriginalPaper | Chapter
Multiagent Cooperation for Decision-Making in the Car-Following Behavior
Authors : Anouer Bennajeh, Fahem Kebair, Lamjed Ben Said, Samir Aknine
Published in: Computational Collective Intelligence
Publisher: Springer International Publishing
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Abstract
This paper presents a decision-making model for determining the velocity and safety distance values basing-on anticipation of the simulation parameters. Thus, this paper is composed of two parts. In the first one, we used a bi-level bi-objective modeling to address the problem of decision-making with two objectives, which are, maximize the safety distance and maximize the velocity, in order to define a link between the increase of velocity and the road safety in the car-following behavior. In the second part, we resolve our modeling basing-on a multi-agent cooperation approach by applying of the Tabu search algorithm. The simulation results showing the advantages of our approach, such as, the use of the multi-agent cooperation approach reflects the high number of tested solutions in a very short search time, which guarantees the high quality of selected solution for each simulation step.