Spatio-temporal optimal law enforcement using stackelberg games
Joint Authors
Naja, Rula
Muawwad, Nadiyah
Ghandur, Ali J.
Source
Issue
Vol. 18, Issue 2 (31 Dec. 2017), pp.244-254, 11 p.
Publisher
National Council for Scientific Research
Publication Date
2017-12-31
Country of Publication
Lebanon
No. of Pages
11
Main Subjects
Abstract EN
Every year, road accidents claim the lives of around 1.2 million worldwide (USDOT-NHTSA, 2012).
Deploying speed traps helps bounding vehicles speed and reducing collisions.
Nevertheless, deterministic speed traps deployment in both spatial and temporal domains, allow drivers to learn and anticipate covered areas.
In this paper, we present a novel framework that provides randomized speed traps deployment schedule.
It uses game theory in order to model drivers and law enforcers’ behavior.
In this context, Stackelberg security game is used to derive best strategies to deploy.
The game optimal solution maximizes law enforcer utility.
This research work aims to optimize the deployment of speed traps on Lebanese highways according to the accidents probability input data.
This work complements the near real time accident map provided by the Lebanese National Council for Scientific Research and designs an optimal speed trap map targeting Lebanese highways.
American Psychological Association (APA)
Naja, Rula& Muawwad, Nadiyah& Ghandur, Ali J.. 2017. Spatio-temporal optimal law enforcement using stackelberg games. Lebanese Science Journal،Vol. 18, no. 2, pp.244-254.
https://search.emarefa.net/detail/BIM-812653
Modern Language Association (MLA)
Naja, Rula…[et al.]. Spatio-temporal optimal law enforcement using stackelberg games. Lebanese Science Journal Vol. 18, no. 2 (2017), pp.244-254.
https://search.emarefa.net/detail/BIM-812653
American Medical Association (AMA)
Naja, Rula& Muawwad, Nadiyah& Ghandur, Ali J.. Spatio-temporal optimal law enforcement using stackelberg games. Lebanese Science Journal. 2017. Vol. 18, no. 2, pp.244-254.
https://search.emarefa.net/detail/BIM-812653
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 253-254
Record ID
BIM-812653