Big Data Analysis for Predicting Road Traffic Accident Severity – B.Sc. Ametu Negash Redi
B.Sc. Ametu Negash Redi
Master's thesis
Big Data Analysis for Predicting Road Traffic Accident Severity
Abstract:
Abstract With the recent growth of urban transportation, Frequent road traffic accident and other issues must be addressed. Understanding the causes of traffic accidents and developing an early alarm model for drivers and pedestrians would be critical in resolving traffic accident issues. To achieve the end goal and scopes, this study relies on Big Data as a primary source. It exhibits typical characteristics …more
Language used: English
Date on which the thesis was submitted / produced: 31. 3. 2021
Thesis defence
- Supervisor: Ing. Tomáš Hlavsa, Ph.D.
Citation record
ISO 690-compliant citation record:
REDI, Ametu Negash. \textit{Big Data Analysis for Predicting Road Traffic Accident Severity}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2021. Available from: https://theses.cz/id/hirc3s/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementMaster programme / field:
Systems Engineering and Informatics / Informatics
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