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Multiagent Cooperation for Decision-Making in the Car-Following Behavior

  • Anouer BennajehEmail author
  • Fahem Kebair
  • Lamjed Ben Said
  • Samir Aknine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9875)

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.

Keywords

Car-following behavior Safe distance model Bi-objectives modeling Decision-making Multiagent system Tabu search algorithm 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Anouer Bennajeh
    • 1
    Email author
  • Fahem Kebair
    • 1
  • Lamjed Ben Said
    • 1
  • Samir Aknine
    • 2
  1. 1.SOIE, Institut Supérieur de Gestion de Tunis-ISGTUniversité de TunisBardo, TunisTunisia
  2. 2.LIRIS, Université Claude Bernard Lyon 1-UCBLVilleurbanne CedexFrance

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