Societal Intelligence for Safer and Smarter Transportation
Societal Intelligence for Safer and Smarter Transportation
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社会智能促进更安全、更智能的交通
DOI：
10.1109/jiot.2021.3057131
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发表时间：
2021-02
影响因子：
10.6
通讯作者：
Xiang Cheng;Dongliang Duan;Liuqing Yang;N. Zheng
中科院分区：
文献类型：
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作者：
Xiang Cheng;Dongliang Duan;Liuqing Yang;N. Zheng
近年来，我们的交通系统取得了令人兴奋的发展，车辆和基础设施日益智能化。预计交通系统将是高度异构的，由具有混合智能和连接性的不同参与者组成。其中，自动驾驶汽车具有最高的智能性和互联性水平，可以为交通系统高效可靠的运行做出巨大贡献。然而，目前自动驾驶技术的设计大多关注个体层面的自动驾驶，整体交通系统并没有为自动驾驶提供主动支持。事实上，交通运输领域日益增长的智能性和连通性可以显着提高单个车辆和整个系统的安全性和效率。为了实现这一目标，车辆之间以及与交通基础设施和管理之间需要互动和合作。在本文中，我们提出了社会智能（SI）框架。与现有的多实体智能框架不同，SI允许不同级别的多个实体之间进行多种交互，因此适合交通运输。此外，我们还将驾驶过程分为四个功能层，并分别展示了社交智能框架如何适应这些层。
Recent years have witnessed exciting developments in our transportation system with increasingly intelligent vehicles and infrastructure. The transportation system is envisioned to be highly heterogeneous, consisting of diverse participants with mixed intelligence and connectivity. Among them, autonomous vehicles have the highest intelligence and connectivity level and could contribute greatly to the operation of the transportation system in an efficient and reliable manner. However, the current design of autonomous driving techniques is mostly concerned with the autonomous vehicle at the individual level, and the overall transportation system does not provide proactive support to autonomous driving. In fact, the increasing intelligence and connectivity in transportation could be leveraged to significantly enhance the safety and efficiency of individual vehicles and the entire system. To facilitate this, vehicles need to interact and cooperate both among themselves and with the transportation infrastructure and management. In this article, we propose the societal intelligence (SI) framework. Different from the existing multientity intelligence frameworks, SI allows for much diverse interactions among the multiple entities at different levels and is thus suitable for transportation. In addition, we also render the driving process into four functional layers and demonstrate how the social intelligence framework can adapt to these layers, respectively.