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机器学习，云网络和物联网等新技术的泛滥-设备和感官设备之间的网络日益紧密，且实时和双向可用数据将需要重新考量当前的运输监管和规划框架。

各种数据的可用性-环境、交通流量、基础设施良好状况、用户行为等-还必须附带一个旨在利用数据可用性而构建的策略框架，以便在基础结构规划和维护、流量规划、资产维护，事件管理和流量转移等领域，进行更好的管制。

自动化技术的最新发展，使汽车可以在没有人工监督或干预下独立（无人驾驶）运行。具有自适应巡航控制、自动紧急制动，自动停车和主动车道控制等技术的半自动汽车，已经成为当前车型中的主流功能。而自动驾驶卡车将极大地改变该行业的商业模式。

在航运方面，预计自动货船将于2020年航行。完全自动的货船可减少对船员的依赖、增加货运空间。

从法规的角度来看，自动驾驶汽车面临着巨大的挑战。未来的政策，法规和法律必须考虑诸如安全性、责任，连通性和数据隐私等问题。这将需要联邦，州和地方政府、研究机构、全球组织，民间社会以及私人界等各方的合作。

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