The development of autonomous vehicles has brought a great impact and changes to the transportation industry, offering numerous benefits in terms of safety and efficiency. However, one of the key challenges that autonomous driving faces is how to make ethical decisions in complex situations. To address this issue, in this article, a novel trajectory prediction method is proposed to achieve ethical decision-making for autonomous driving. Ethical considerations are integrated into the decision-making process of autonomous vehicles by quantifying the utility principle and incorporating them into mathematical formulas. Furthermore, trajectory prediction is optimized using LSTM network with an attention module, resulting in improved accuracy and reliability in trajectory planning and selection. Through extensive simulation experiments, we demonstrate the effectiveness of the proposed method in making ethical decisions and selecting optimal trajectories.

翻译：自动驾驶汽车的发展给交通运输业带来了巨大的冲击和变革，在安全性和效率方面提供了诸多益处。然而，自动驾驶面临的关键挑战之一是如何在复杂情境中做出伦理决策。针对这一问题，本文提出了一种新颖的轨迹预测方法，以实现自动驾驶的伦理决策。通过量化效用原则并将其纳入数学公式，将伦理考量融入自动驾驶汽车的决策过程。此外，利用带有注意力机制的LSTM网络对轨迹预测进行优化，提高了轨迹规划与选择的准确性和可靠性。通过广泛的仿真实验，我们证明了所提出方法在做出伦理决策和选择最优轨迹方面的有效性。