The distance between vehicles measurement is the only factor in traditional car rear-end alarm system.An alarming model based on MAS(Multi-Agent Systems) and the behavior of driver is proposed to address the above problem.It is composed of four different types of agents which can either work alone or Collaboration through a communication protocol based on the extended KQML.The rear-end alarming algorithm utilize Bayes decision theory to calculate the probability of collision and prevent its occurence realtime.So Autonomy and reliability was enhanced in the proposed system.The effectiveness and robustness of the model have been confirmed by the simulated experiments.
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