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Time-Change-Fuzzy-Based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State

机译:基于时间变模糊的智能车辆控制系统,用于达特塞齐克的安全紧急车道过渡

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摘要

Driver’s physical condition may contribute to traffic accident when it is in a lethargic state that result in faulty maneuvers of his vehicles. Due to these possibilities, many research focuses in developing automatic speed control systems that considers the environment condition,with which relieving the human from the control task when the driver’s judgement is not suitable for the environmental condition. Time-change-fuzzy-sets has been proven successful in analyzing safety level in traffic condition. This paper proposes an intelligent vehicle control systembased on Time-Change-Fuzzy that can safely transit a moving vehicle from its original lane towards the emergency lane automatically when the driver is in lethargic state and the effectiveness was evaluated in a series of simulation.
机译:当它处于昏昏欲睡状态时,驾驶员的身体状况可能会导致他的车辆出现故障的状态。 由于这些可能性,许多研究侧重于开发考虑环境状况的自动速度控制系统,当驾驶员的判断不适合环境条件时,从控制任务中释放人员。 在分析交通状况中的安全水平方面已经证明了时间变化模糊集。 本文提出了一种智能车辆控制,在时间变化模糊系统上,当驾驶员处于昏昏欲的状态时,可以安全地从其原始车道到急救通道到急救通道中的移动车辆,并且在一系列模拟中评估了有效性。

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