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Automatic Traffic Enforcement Camera Operation, Based on a Business Intelligence System

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Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems (ICDSST 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 282))

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Abstract

Since 2012, a new automatic traffic enforcement camera project has been in operation in Israel. Several databases are included in this project, i.e. sensor data, traffic reports, and road accident records. In 2014 a business intelligence system was developed to obtain all the data from the sensors of the new project and to merge them with the existing data to run the project effectively and efficiently. The aim of this paper is to present the process and the configuration of the business intelligence system, and to present the improvements in all measurements. In this paper we demonstrate the importance of a business intelligence system for operating, engineering, researching and managing aspects of a project.

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Author information

Authors and Affiliations

  1. Israel Traffic Police, R&D Unit, Beit Dagan, Israel

    Mali Sher

  2. Israel Police Technology Department, BI Unit, Jerusalem, Israel

    Guy Shifrin

Authors
  1. Mali Sher
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  2. Guy Shifrin
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Corresponding author

Correspondence to Mali Sher .

Editor information

Editors and Affiliations

  1. Department of Business Administration, University of Namur, Namur, Belgium

    Isabelle Linden

  2. Graduate School of Management, University of Plymouth, Plymouth, United Kingdom

    Shaofeng Liu

  3. Department of Business Administration, University of Namur, Namur, Belgium

    Christian Colot

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Sher, M., Shifrin, G. (2017). Automatic Traffic Enforcement Camera Operation, Based on a Business Intelligence System. In: Linden, I., Liu, S., Colot, C. (eds) Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems. ICDSST 2017. Lecture Notes in Business Information Processing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-57487-5_2

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