APPLICATION OF BUSINESS INTELLIGENCE SYSTEMS IN TRAFFIC SAFETY
DOI:
https://doi.org/10.24867/21DS01VidovicKeywords:
Traffic safety, Business Intelligence SystemsAbstract
Advances in information technology make it possible to collect ever-increasing amounts of relevant data, such as comprehensive accident databases as well as real-time driving data. Innovations in information technologies enabled the development of an improved system, and thus the concept of business intelligence appeared and began to be used in various areas, including in the area of traffic accident analysis and traffic safety.
References
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[2] Dedić N., Stanier C., Measuring the Success of Changes to Existing Business Intelligence Solutions to Improve Business Intelligence Reporting, Беч, 2016
[3] Hamidi, A., Fontaine, M. D., & Demetsky, M. J. (2010). A Planning-Level Methodology for Identifying High-Crash Sections of Virginia's Primary System (No. FHWA/VTRC 11-R4). Virginia Transportation Research Council.
[4] Hancock, Ј., Toren, R., Practical Business Intelligence With SQL Server 2005, Addison Wesley Professional, 2006.
[5] Negash., S., Business Intelligence, Kennesaw State University, 2004.
[6] Reinschmidt, J., Francoise, A. Business Intelligence Certification Guide, IBM International Technical Support Organization, San Jose, CA, 2000.
[7] Shimko, G. & Walbaum, C., City of Edmonton traffic safety strategy. Road Safety Session of the 2010 Annual Conference of the Transportation Association of Canada, Halifax, Nova Scotia., 2010.
[8] Tjandra, S. A. (2014). Business Intelligence system for traffic data integration: linking roadway, collision and traffic flow data to improve traffic safety. NATMEC 2014 Improving Traffic Data Collection, Analysis, and Use.
[9] Veeramisti, K., A Business Intelligence F A Business Intelligence Framework for Network-le amework for Network-level Traffic Safety Analyses, University of Nevada, Las Vegas, 2016.
[10] Wang, H., Wang S., A Knowledge Management Approach to Data Mining Process for Business Intelligence, Industrial Management & Data Systems, 2008.
[11] World Health Organization. WHO. (2020). The Top 10 Causes of Death.
[2] Dedić N., Stanier C., Measuring the Success of Changes to Existing Business Intelligence Solutions to Improve Business Intelligence Reporting, Беч, 2016
[3] Hamidi, A., Fontaine, M. D., & Demetsky, M. J. (2010). A Planning-Level Methodology for Identifying High-Crash Sections of Virginia's Primary System (No. FHWA/VTRC 11-R4). Virginia Transportation Research Council.
[4] Hancock, Ј., Toren, R., Practical Business Intelligence With SQL Server 2005, Addison Wesley Professional, 2006.
[5] Negash., S., Business Intelligence, Kennesaw State University, 2004.
[6] Reinschmidt, J., Francoise, A. Business Intelligence Certification Guide, IBM International Technical Support Organization, San Jose, CA, 2000.
[7] Shimko, G. & Walbaum, C., City of Edmonton traffic safety strategy. Road Safety Session of the 2010 Annual Conference of the Transportation Association of Canada, Halifax, Nova Scotia., 2010.
[8] Tjandra, S. A. (2014). Business Intelligence system for traffic data integration: linking roadway, collision and traffic flow data to improve traffic safety. NATMEC 2014 Improving Traffic Data Collection, Analysis, and Use.
[9] Veeramisti, K., A Business Intelligence F A Business Intelligence Framework for Network-le amework for Network-level Traffic Safety Analyses, University of Nevada, Las Vegas, 2016.
[10] Wang, H., Wang S., A Knowledge Management Approach to Data Mining Process for Business Intelligence, Industrial Management & Data Systems, 2008.
[11] World Health Organization. WHO. (2020). The Top 10 Causes of Death.
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Published
2023-01-09
Issue
Section
Traffic Engineering
