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Authors: Kyi Pyar Hlaing 1 ; Nyein Thwet Thwet Aung 2 ; Swe Zin Hlaing 2 and Koichiro Ochimizu 1

Affiliations: 1 University of Information Technology, Myanmar ; 2 Faculty of Information Science Department, University of Information Technology, Myanmar

Keyword(s): Variability Analysis, Functional Resonance Analysis Method, Correlation Analysis, Road Accident, Severity Level, Naive Bayes Algorithm.

Abstract: Myanmar is the second-highest death toll of road accidents in Southeast Asia according to the WHO data published Road Traffic Accidents Deaths in 2018. This study performs Functional Resonance Analysis Method (FRAM) to analyze road accidents in Yangon as an alternative approach to safety management. Firstly, a basic FRAM model is presented that shows the road accident functions. Secondly, this paper develops a quantitative model to predict the functional upstream-downstream coupling by using Naive Bayesian algorithm. Finally, this study performs the Cross-Tabulation analysis and Chi-Square Test method to determine that there is an association between the outputs of the functions. The result proves that the upstream function’s output variability affects the downstream function’s output variability. The variability of road accident factors such as accident place, accident season, accident time, and type of vehicle affects the severity level of the road accident.

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Paper citation in several formats:
Hlaing, K.; Aung, N.; Hlaing, S. and Ochimizu, K. (2021). Performance Variability Analysis on Road Accident in Yangon. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 329-336. DOI: 10.5220/0010451803290336

@conference{iceis21,
author={Kyi Pyar Hlaing. and Nyein Thwet Thwet Aung. and Swe Zin Hlaing. and Koichiro Ochimizu.},
title={Performance Variability Analysis on Road Accident in Yangon},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2021},
pages={329-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010451803290336},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Performance Variability Analysis on Road Accident in Yangon
SN - 978-989-758-509-8
IS - 2184-4992
AU - Hlaing, K.
AU - Aung, N.
AU - Hlaing, S.
AU - Ochimizu, K.
PY - 2021
SP - 329
EP - 336
DO - 10.5220/0010451803290336
PB - SciTePress

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