Multiserver queueing for supervisory control of autonomous vehicles
Multiserver queueing for supervisory control of autonomous vehicles
复制标题
用于自动驾驶车辆监控的多服务器排队
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
K. Morgansen
中科院分区：
文献类型：
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作者：
Nathan D. Powel;K. Morgansen
无人机的广泛采用引起了人们对提高无人系统中车辆与操作员比率的强烈兴趣。提出了一种多服务器排队结构，用于多台无人驾驶车辆的监控，并证明了多服务器排队可以提高车辆与操作员的比率。对于具有相同和非相同分布服务时间的M/M/c队列，得出了分析结果，并且与单服务器队列相比，多服务器队列的车辆与操作员比率预计将增加高达50%。应用人体疲劳模型确定了固定移位和交错移位结构在操作员疲劳状态下的性能。将结果推广到离散事件模拟中的对数正态分布服务时间。
Widespread adoption of unmanned aerial vehicles has led to intense interest in increasing the vehicle-to-operator ratio in unmanned systems. We propose a multiserver queueing structure for the supervisory control of multiple autonomous unmanned vehicles and demonstrate that multiserver queueing can increase the vehicle-to-operator ratio. Analytical results are derived for M/M/c queues with identically and non-identically distributed service times, and vehicle-to-operator ratio increases of up to 50% are predicted for multiserver queues compared to single server queues. A human fatigue model is applied to determine the performance of fixed shift and staggered shift structures in the presence of operator fatigue. Results are extended to log-normally distributed service times in discrete event simulation.