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When security games hit traffic: A deployed optimal traffic enforcement system
Artificial Intelligence ( IF 5.1 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.artint.2020.103381
Ariel Rosenfeld , Oleg Maksimov , Sarit Kraus

Abstract Road accidents are the leading causes of death among youths and young adults worldwide. Efficient traffic enforcement is an essential, yet complex, component in preventing road accidents. In this article, we present a novel model, an optimizing algorithm and a deployed system which together mitigate many of the computational and real-world challenges of traffic enforcement allocation in large road networks. Our approach allows for scalable, coupled and non-Markovian optimization of multiple police units and guarantees optimality. Our deployed system, which utilizes the proposed approach, is used by the Israeli traffic police and is shown to provide meaningful benefits compared to existing standard traffic police enforcement practices.

中文翻译:

当安全游戏遇到流量时:已部署的最佳交通执法系统

摘要 道路交通事故是全球青年和青年死亡的主要原因。有效的交通执法是预防道路事故的重要但复杂的组成部分。在本文中,我们提出了一个新模型、一个优化算法和一个部署系统,它们共同减轻了大型道路网络中交通执法分配的许多计算和现实挑战。我们的方法允许对多个警察单位进行可扩展的、耦合的和非马尔可夫优化,并保证最优性。我们部署的系统采用了所提出的方法,已被以色列交警使用,与现有的标准交警执法实践相比,它显示出可提供有意义的好处。
更新日期:2020-12-01
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