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首页> 外文期刊>Neural computing & applications >Forward vehicle collision mitigation by braking system based on artificial bee colony algorithm
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Forward vehicle collision mitigation by braking system based on artificial bee colony algorithm

机译:基于人工蜂群算法的制动系统减轻车辆前撞

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摘要

Decision-making is a crucial step in vehicles' safety systems, which determines the right time for the system to intervene and to take the required action, depending on the current situation of the vehicle. The warning/intervention system becomes active when the driving situation considered unpleasant while still giving the control to the driver. Taking the action of warning, braking and determining the best time for this intervention are important decisions in collision mitigation systems. In this work, a novel system is designed based on artificial bee colony algorithm to enhance the decision-making in such systems. This work c oncentrates on collision mitigation by braking systems only, for front-to-rear accidents. This paper studies cases when the hosting vehicle approaches moving and stationary objects. This work is simulated, and the results are obtained and analyzed which proved the contribution to this work in reducing the collision speed and the stopping distance, in comparison with previous related works.
机译:决策是车辆安全系统中至关重要的一步,它取决于车辆的当前情况,确定系统进行干预并采取必要措施的正确时间。当驾驶情况令人不愉快时,警告/干预系统将激活,同时仍将控制权交给驾驶员。在减轻碰撞的系统中,采取警告,制动和确定最佳干预措施的时间是重要的决定。在这项工作中,基于人工蜂群算法设计了一个新颖的系统,以增强此类系统的决策能力。这项工作仅集中于制动系统的前后碰撞事故缓解。本文研究了宿主车辆接近运动和静止物体的情况。对该工作进行了仿真,并获得了结果并进行了分析,与以前的相关工作相比,证明了该工作在降低碰撞速度和停止距离方面的贡献。

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