数字孪生中的人工智能——技术现状、挑战和未来研究课题（下）
本文摘要（由AI生成）：
本文综述了数字孪生技术在交通领域的应用研究。包括船舶交通服务系统、高速公路交通数字孪生系统、城市交通数字孪生、地方道路数字孪生开发过程、自动驾驶安全性能评估、小间距主干道交通组织、基于数字孪生的脑图像融合、无人机数字孪生、以及数字孪生技术的更多应用。这些研究展示了数字孪生技术在交通领域的广泛应用前景和潜力。
作者：吕志涵、谢淑轩（音译）
摘要
摘要
随着数字化进程的推进，大数据、人工智能（AI）、云计算、数字孪生、边缘计算等先进的计算机技术已应用于各个领域。为研究数字孪生与AI结合的应用现状，本文通过研究当前已发表文献的研究成果，对AI在数字孪生中的应用和前景进行了分类。本文从航空航天、生产车间智能制造、无人驾驶汽车、智慧城市交通四大领域探讨了数字孪生体的应用现状，并回顾了当前面临的挑战和未来需要期待的话题。
研究发现，数字孪生与AI的融合在航空航天飞行探测仿真、故障预警、飞机组装甚至无人飞行方面具有显著效果。在汽车自动驾驶的虚拟仿真测试中，可以节省80%的时间和成本，相同的路况降低了实际车辆动力学模型的参数尺度，大大提高了测试精度。在生产车间的智能制造中，建立虚拟工作场所环境可以提供及时的故障预警，延长设备的使用寿命，确保车间整体运行安全。在智慧城市交通中，模拟真实的道路环境，恢复交通事故，使交通状况清晰高效，快速准确地进行城市交通管理。最后，我们展望了数字孪生和人工智能的未来，希望为未来相关领域的研究提供参考。
介绍
介绍
数字孪生中
人工智能面临的挑战
数字孪生在
汽车自动驾驶领域面临的挑战
航空航天领域
数字孪生面临的挑战
数字孪生在
智能制造领域面临的挑战
数字孪生在
智慧城市交通领域面临的挑战
数字孪生中
人工智能的未来前景
数字孪生在
汽车自动驾驶领域的未来展望
航空航天领域
数字孪生的未来研究课题
数字孪生在
智能制造方向的未来展望
城市智能交通中
数字孪生的未来研究课题
讨论数字孪生
在相关领域的应用
结论
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