Road traffic accidents are a very rampant issue causing injury, loss of lives and property worldwide. In this research, a system for determining the severity of motorcycle accidents in Lokoja Metropolis of Central Nigeria was developed. The research considered different areas that are highly prone to accidents in Lokoja. Although accidents cannot be totally avoided, through scientific analysis, their frequency and severity can be reduced. The methodology used in this research is Knowledge Discovery in Databases with the Decision Tree Algorithm as the soft computing technique used for analysis. Python programming language was used for the implementation. The dataset used was gotten from the Federal Road Safety Corps (FRSC) in Lokoja. After the training and testing of the dataset, we achieved an accuracy of 90.5%. The motorcycle accident severity prediction system developed could serve as a tool that can be used to cub the enormous challenges faced by FRSC in curtailing motorcycle accident.
| DOI | 10.11648/j.aas.20200502.14 |
| Published in | Advances in Applied Sciences (Volume 5, Issue 2, June 2020) |
| Page(s) | 41-48 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Severity, Motorcycle, Accident, Knowledge Discovery, Decision Tree
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APA Style
Terungwa Simon Yange, Oluoha Onyekwere, Malik Adeiza Rufai, Charity Ojochogwu Egbunu, Onyinyechukwu Rehoboth Ogboli. (2020). Determination of the Severity of Motorcycle and Tricycle Accidents in Nigeria. Advances in Applied Sciences, 5(2), 41-48. https://doi.org/10.11648/j.aas.20200502.14
ACS Style
Terungwa Simon Yange; Oluoha Onyekwere; Malik Adeiza Rufai; Charity Ojochogwu Egbunu; Onyinyechukwu Rehoboth Ogboli. Determination of the Severity of Motorcycle and Tricycle Accidents in Nigeria. Adv. Appl. Sci. 2020, 5(2), 41-48. doi: 10.11648/j.aas.20200502.14
AMA Style
Terungwa Simon Yange, Oluoha Onyekwere, Malik Adeiza Rufai, Charity Ojochogwu Egbunu, Onyinyechukwu Rehoboth Ogboli. Determination of the Severity of Motorcycle and Tricycle Accidents in Nigeria. Adv Appl Sci. 2020;5(2):41-48. doi: 10.11648/j.aas.20200502.14
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Download@article{10.11648/j.aas.20200502.14,
author = {Terungwa Simon Yange and Oluoha Onyekwere and Malik Adeiza Rufai and Charity Ojochogwu Egbunu and Onyinyechukwu Rehoboth Ogboli},
title = {Determination of the Severity of Motorcycle and Tricycle Accidents in Nigeria},
journal = {Advances in Applied Sciences},
volume = {5},
number = {2},
pages = {41-48},
doi = {10.11648/j.aas.20200502.14},
url = {https://doi.org/10.11648/j.aas.20200502.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20200502.14},
abstract = {Road traffic accidents are a very rampant issue causing injury, loss of lives and property worldwide. In this research, a system for determining the severity of motorcycle accidents in Lokoja Metropolis of Central Nigeria was developed. The research considered different areas that are highly prone to accidents in Lokoja. Although accidents cannot be totally avoided, through scientific analysis, their frequency and severity can be reduced. The methodology used in this research is Knowledge Discovery in Databases with the Decision Tree Algorithm as the soft computing technique used for analysis. Python programming language was used for the implementation. The dataset used was gotten from the Federal Road Safety Corps (FRSC) in Lokoja. After the training and testing of the dataset, we achieved an accuracy of 90.5%. The motorcycle accident severity prediction system developed could serve as a tool that can be used to cub the enormous challenges faced by FRSC in curtailing motorcycle accident.},
year = {2020}
}
TY - JOUR T1 - Determination of the Severity of Motorcycle and Tricycle Accidents in Nigeria AU - Terungwa Simon Yange AU - Oluoha Onyekwere AU - Malik Adeiza Rufai AU - Charity Ojochogwu Egbunu AU - Onyinyechukwu Rehoboth Ogboli Y1 - 2020/06/17 PY - 2020 N1 - https://doi.org/10.11648/j.aas.20200502.14 DO - 10.11648/j.aas.20200502.14 T2 - Advances in Applied Sciences JF - Advances in Applied Sciences JO - Advances in Applied Sciences SP - 41 EP - 48 PB - Science Publishing Group SN - 2575-1514 UR - https://doi.org/10.11648/j.aas.20200502.14 AB - Road traffic accidents are a very rampant issue causing injury, loss of lives and property worldwide. In this research, a system for determining the severity of motorcycle accidents in Lokoja Metropolis of Central Nigeria was developed. The research considered different areas that are highly prone to accidents in Lokoja. Although accidents cannot be totally avoided, through scientific analysis, their frequency and severity can be reduced. The methodology used in this research is Knowledge Discovery in Databases with the Decision Tree Algorithm as the soft computing technique used for analysis. Python programming language was used for the implementation. The dataset used was gotten from the Federal Road Safety Corps (FRSC) in Lokoja. After the training and testing of the dataset, we achieved an accuracy of 90.5%. The motorcycle accident severity prediction system developed could serve as a tool that can be used to cub the enormous challenges faced by FRSC in curtailing motorcycle accident. VL - 5 IS - 2 ER -
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