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.
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Bennajeh, A., Kebair, F., Ben Said, L., Aknine, S. (2016). Multiagent Cooperation for Decision-Making in the Car-Following Behavior. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_36
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DOI: https://doi.org/10.1007/978-3-319-45243-2_36
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