Optimizing Traffic Enforcement: From the Lab to the Roads

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Road accidents are the leading causes of death of youths and young adults worldwide. Efficient traffic enforcement has been conclusively shown to reduce high-risk driving behaviors and thus reduce accidents. Today, traffic police departments use simplified methods for their resource allocation (heuristics, accident hotspots, etc.). To address this potential shortcoming, in [23], we introduced a novel algorithmic solution, based on efficient optimization of the allocation of police resources, which relies on the prediction of accidents. This prediction can also be used for raising public awareness regarding road accidents. However, significant challenges arise when instantiating the proposed solution in real-world security settings. This paper reports on three main challenges: (1) Data-centric challenges; (2) Police-deployment challenges; and (3) Challenges in raising public awareness. We mainly focus on the data-centric challenge, highlighting the data collection and analysis, and provide a detailed description of how we tackled the challenge of predicting the likelihood of road accidents. We further outline the other two challenges, providing appropriate technical and methodological solutions including an open-access application for making our prediction model accessible to the public.

Original languageEnglish
Title of host publicationDecision and Game Theory for Security - 8th International Conference, GameSec 2017, Proceedings
EditorsChristopher Kiekintveld, Stefan Schauer, Bo An, Stefan Rass, Fei Fang
PublisherSpringer Verlag
Number of pages18
ISBN (Print)9783319687100
StatePublished - 2017
Event8th International Conference on Decision and Game Theory for Security, GameSec 2017 - Vienna, Austria
Duration: 23 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10575 LNCS


Conference8th International Conference on Decision and Game Theory for Security, GameSec 2017

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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