When security games hit traffic: A deployed optimal traffic enforcement system

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Article number103381
JournalArtificial Intelligence
Volume289
DOIs
StatePublished - Dec 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.

Funding

This work was supported in part by the LAW-TRAIN project which received funding from the European Union Horizon 2020 research and innovation program under grant agreement 653587 and in part by a grant from the Ministry of Science & Technology, Israel & the Japan Science and Technology Agency (JST), Japan.

FundersFunder number
Ministry of Science & Technology, Israel & the Japan Science and Technology Agency
Horizon 2020 Framework Programme
Japan Science and Technology Agency
Horizon 2020653587

    Keywords

    • Deployed system
    • Security
    • Traffic enforcement

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