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  1. University of Information Technology
  2. International Conference on Advanced Information Technologies

Functional Resonance Analysis Method on Road Accidents in Myanmar

http://hdl.handle.net/20.500.12678/0000006338
http://hdl.handle.net/20.500.12678/0000006338
1a313872-cfef-4897-9665-603e4a467167
85a6cfbe-6864-4902-a84b-a0689f56361a
None
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Functional Functional Resonance Analysis Method on Road Accidents in Myanmar.pdf (1.9 Mb)
© 2018 ICAIT
Publication type
Conference paper
Upload type
Publication
Title
Title Functional Resonance Analysis Method on Road Accidents in Myanmar
Language en
Publication date 2018-11-02
Authors
Kyi Pyar Hlaing
Nyein Thwet Thwet Aung
Swe Zin Hlaing
Koichiro Ochimizu
Description
In Myanmar, there are increasing numbers of road accidents in recent year. Because of road accident, 3480 people died in Myanmar in 2016 and approximately 10 people die from road accidents every day, according to Myanmar Organization Road Safety. Reasons for the accidents may include motorcyclists who are not wearing helmets, poor quality of road, driver behavior, mechanical failure of vehicles, violation of traffic rule, and bad weather. Functional Resonance Analysis Method (FRAM) is an accident analysis method providing a new concept for people to analyze accidents. FRAM can be applied by identifying functions with the detailed variability of functions, interpreting possible couplings of the variability and providing suggestions to manage the unexpected variability. This paper intends to propose basic FRAM model that analyzes the road accident. So it can provide a better understanding of accidents resulting from road accident. Based on this model, a case study was selected and the performance variability of function betweentwo functions by using FRAM model.
Keywords
Road Accident, Functional Resonance Analysis Method, Road Safety
Conference papers
ICAIT-2018
1-2 November, 2018
2nd International Conference on Advanced Information Technologies
Yangon, Myanmar
Simulation and Modeling in Software Approach
https://www.uit.edu.mm/icait-2018/
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