空中交通管理冲突解决的概率预测博弈论

Kaijun Xu, Heng Yin, Long Zhang, Yang Xu
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引用次数: 5

摘要

在飞行过程中,随着航空运输量的增加,飞机间的空中冲突时有发生。解决航班冲突是空中交通管理中亟待解决的问题。为了提高航空运输系统的整体效率和安全性,本文将概率预测作为一种有效的方法来描述冲突解决的特征,以实现利益。首先,建立了合作博弈模型,通过提出的优先级排序机制,被分配不同状态的参与者会考虑其他参与者的偏好。然后,我们用概率预测模型来描述博弈冲突的解决。对于合作性质,玩家会选择无冲突的策略,确保整个系统能够达成社会一致的妥协,即在满足个体偏好的同时解决冲突。最后进行了理论分析和数值研究,验证了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Game Theory with Probabilistic Prediction for Conflict Resolution in Air Traffic Management
In the course of flight, conflict in the air between aircraft happens sometimes with air transportation increase. It is an urgent problem to solve flight conflict for air traffic management. In this paper, to increase overall air transport system efficiency and enhance safety, probabilistic prediction has been considered as an effective method to characterize the conflict resolution for realizing benefits. Firstly, it established a cooperative game model, player who has been assigned different statuses by a priority ranking mechanism proposed, will take others' preferences into consideration. Then, we use the probabilistic prediction model to describe the game conflict resolution. To the cooperative nature, player will choose its conflict-free strategy, ensure that the whole system could reach a socially coherent compromise, namely resolving the conflict meanwhile satisfying individual's preferences. Finally, theoretical analysis and numerical study are undertaken to show the effectiveness of the proposed scheme.
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