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Developing Freeway Lane-Changing Support Systems Using Artificial Neural Networks

机译:使用人工神经网络开发高速公路变道支持系统

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摘要

Lane-changing involves may concerns about safety and efficiency which makes it one of the most difficult tasks of driving. It is indeed quite personal since drivers operate vehicles according to their integrated perception of comprehensive circumstances rather than individual rules. A lane-changing decision support model is developed in this study using artificial neural networks (ANN). The advantages of the ANN approach lie in the learning capability.
机译:换道涉及安全性和效率问题,这使其成为最困难的驾驶任务之一。这确实是非常个人化的,因为驾驶员根据他们对综合情况的综合理解而不是个别规则来操作车辆。在这项研究中,使用人工神经网络(ANN)开发了换道决策支持模型。人工神经网络方法的优势在于学习能力。

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