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Using Governance and Adaptive Normative Multiagent Systems for Dynamic Vehicle Platoon Formation

机译:使用治理和自适应规范多主体系统进行动态车辆排编队

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Autonomous vehicles (AVs) are vehicles able to sense their environments and guide themselves with little or no human input. AVs have the potential to provide a wide variety of benefits to road traffic, such as improving traffic flow, alleviating traffic congestion and reducing car accidents. However, there are scenarios where AVs require governance systems capable of performing collaborative actions in order to keep traffic flowing smoothly and safely. This paradigm shift will support moving from isolated to collaborative autonomous vehicles. Our goal is to create a collaborative governance-based autonomous vehicle approach using adaptive normative multiagent systems to reduce congestion time. With this collaborative perspective in mind, steps should be taken for AVs to improve their collective mobility while not undermining the ‘social’ goals of vehicle platoons and be able to provide benefits such as reduced congestion, increased travel choice and equity, and reduced pollutant emissions.
机译:自动驾驶汽车(AVs)是能够感应到自己的环境并在很少或没有人工干预的情况下进行自我引导的车辆。自动驾驶具有为道路交通提供多种益处的潜力,例如改善交通流量,减轻交通拥堵并减少交通事故。但是,在某些情况下,AV要求治理系统能够执行协作操作,以保持通信的顺畅和安全。这种模式转变将支持从孤立的自动驾驶汽车向协作自动驾驶汽车的转变。我们的目标是使用自适应规范多主体系统创建一种基于协作治理的自动驾驶汽车方法,以减少拥堵时间。考虑到这种协作的观点,应该为AV采取措施,以提高其集体机动性,同时又不损害车辆排的“社会”目标,并能够提供诸如减少拥堵,增加出行选择和公平性以及减少污染物排放等好处。 。

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