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From PLATO to Platoons

机译:从柏拉图到粘盘

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摘要

Grouping vehicles into platoons promises to improve road capacity, driver safety, and fuel consumption. However, when platoons have to allow for cross traffic maneuvers, the ability to control single large platoons is not sufficient, and chaining smaller platoons becomes necessary. To this aim we define PLATO, an edge-assisted multi-platoon control architecture and, by delving into the dichotomy of unity and plurality of platooning, we analyze costs and benefits of multi-platooning. We investigate on the feasibility and formulate the utility of multi-platoons by analyzing the underlying edge computing and broadband cellular connectivity requirements. Using a detailed simulator, we show that, in realistic environments, multi-platoons can be effectively controlled with PLATO, as long as the latency between individual platoon managers and the multi-platoon manager is kept below a few tens of milliseconds. Surprisingly, the latency between vehicles and managers is one order of magnitude less critical.
机译:将车辆分组成粘盘承诺提高道路容量,驾驶员安全和燃料消耗。然而,当镀胶必须允许交通运转时,控制单个大粘板的能力不足,并且需要较小的夹板。为了实现这一目标,我们通过阐述统一和多个排的二分术和多分子,分析多排液和多分子的二分法,定义柏拉图。我们通过分析潜在的边缘计算和宽带蜂窝连接要求,调查可行性并制定多块的效用。使用详细的模拟器,我们表明,在现实环境中,可以通过柏拉图有效地控制多块,只要各个排在经理和多排门管理器之间的延迟保持低于几十毫秒的延迟。令人惊讶的是,车辆和管理人员之间的潜伏期是一个数量级的级数不太重要。

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