The study of car rear-end warning model based on MAS and behaviour

  • Authors:

  • Jun Liang;Long Chen;Xiaobo Chen

  • Affiliations:

  • School of Computer Science and Telecommunication Engineering, JiangSu University, Zhenjiang 212013, China.;School of Automobile and Traffic Engineering, JiangSu University, Zhenjiang 212013, China.;School of Computer Science and Telecommunication Engineering, JiangSu University, Zhenjiang 212013, China

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2010

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Abstract

The measurement of the distance between vehicles is the only factor in traditional car rear-end alarm system. To address the above problem, this paper proposes an alarm model based on Multi-Agent Systems (MAS) and driving behaviour. It consists of four different types of agents that can collaborate through a communications protocol on the basis of the extended KQML. The Bayes decision theory is adopted to calculate the probability of collision and prevent its occurence realtime. Both autonomy and reliability are enhanced in the proposed system. The effectiveness and robustness of the model have been confirmed by simulated experiments.