The air traffic controller and Maxwell's Demon

S. Sporn
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引用次数: 2

Abstract

The present world wide system of Air Traffic Control universally depends on an information exchange involving ground radar observations and cooperative application of rules and procedures by pilots in the air and controllers on the ground. The chief function of the controller is to keep traffic moving while "assuring" no conflicts or mid air collisions. In areas of dense traffic the controller "workload" can get very high and one becomes concerned about the system(controller is part of the system) becoming overloaded, with consequent decrease in system safety. The concept of controller or system workload is intuitively understood but how does one measure workload for the purpose of classifying system safety and achieving proper system design? One needs to define a model of the situation. Air traffic has previously been described by analogy with the random motion of gas molecules (Alexander and Graham-Orr) but these descriptions have left out from the beginning (by the random assumption) the essential feature of control. Associated with using the random gas model one assumes that controller workload is proportional to the number of conflicts the controller must resolve. Though predictions made from the random gas model check reasonably with some results obtained from computer simulations, doubts arise when one questions how a random model can describe the real world controlled air traffic situation with its obvious lack of randomness (Jones and Lutze) and one asks, more precisely, for the limitations of the random gas model. The purpose of this paper is to provide an alternate mathematical model for air traffic control; one in which the element of control is built in from the beginning thus overcoming a basic objection to the random gas model. The model is based on the recognition that whatever the controller "does" to achieve and maintain control, his work effort is perceived by an observer as a decrease in the entropy of the traffic, e.g., the traffic becomes more orderly. The controller functions in direct analogy with Maxwell's Demon. Faced with a disordered velocity and position distribution of aircraft in a control zone, the air traffic controller introduces order by supplying information so as to achieve a decrease in entropy. Controller workload is measured by the information (negentropy) he must supply.<>
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空中交通管制员和麦克斯韦妖
目前世界范围的空中交通管制系统普遍依赖于包括地面雷达观测和空中飞行员与地面管制员合作应用规则和程序在内的信息交换。管制员的主要功能是保持交通畅通,同时“确保”没有冲突或空中碰撞。在交通密集的地区,控制器的“工作量”可能会变得非常高,人们开始担心系统(控制器是系统的一部分)变得过载,从而降低系统的安全性。控制器或系统工作负载的概念是直观理解的,但如何衡量工作负载,以便对系统安全性进行分类并实现适当的系统设计?人们需要定义一种情况的模型。空中交通以前是通过类比气体分子的随机运动来描述的(Alexander和Graham-Orr),但这些描述从一开始(通过随机假设)就忽略了控制的基本特征。与使用随机气体模型相关联的是,假设控制器工作负载与控制器必须解决的冲突数量成正比。虽然由随机气体模型做出的预测与计算机模拟得到的一些结果相吻合,但当有人质疑随机模型如何能描述明显缺乏随机性的现实世界受控空中交通状况(Jones和Lutze),并更准确地问随机气体模型的局限性时,问题就出现了。本文的目的是为空中交通管制提供一个替代的数学模型;一种从一开始就内置控制元素的方法,从而克服了对随机气体模型的基本异议。该模型是基于这样一种认识,即无论控制器“做”什么来实现和保持控制,他的工作努力都会被观察者感知为交通熵的减少,例如,交通变得更加有序。控制器的功能直接类似于麦克斯韦妖。面对管制区内飞机速度和位置分布无序的情况,空管通过提供信息来引入秩序,从而实现熵的减小。控制器的工作负荷是由他必须提供的信息(负熵)来衡量的。
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