Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods
This study assesses the relationship that existed between various variables and their subvariables on rural roads in Qom, Iran, using statistical analysis and calculates the relationship between the considered factors and accident severity. A logit model was applied to determine the factors affectin...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/8089395 |
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| _version_ | 1832546595551313920 |
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| author | Mohammad Habibzadeh Pooyan Ayar Mohammad Hassan Mirabimoghaddam Mahmoud Ameri Seyede Mojde Sadat Haghighi |
| author_facet | Mohammad Habibzadeh Pooyan Ayar Mohammad Hassan Mirabimoghaddam Mahmoud Ameri Seyede Mojde Sadat Haghighi |
| author_sort | Mohammad Habibzadeh |
| collection | DOAJ |
| description | This study assesses the relationship that existed between various variables and their subvariables on rural roads in Qom, Iran, using statistical analysis and calculates the relationship between the considered factors and accident severity. A logit model was applied to determine the factors affecting the severity of accidents. In addition, two artificial neural network (ANN) models were developed using two kinds of learning methods to train neurons to select the best result. The results of modeling and analysis of accidents using various techniques revealed that each technique, depending on its purpose, examined the severity of accidents from a different point of view and represented various outcomes. Finally, the performance of the proposed models was validated utilizing other mathematical models. As a result, putting the output results together, the best measures can be suggested to increase the safety of people on rural roads. The outcomes of this study may aid these service providers in strategic planning and policy framework. |
| format | Article |
| id | doaj-art-48223940e281463ebf746c314819f29b |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-48223940e281463ebf746c314819f29b2025-02-03T06:47:44ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/8089395Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network MethodsMohammad Habibzadeh0Pooyan Ayar1Mohammad Hassan Mirabimoghaddam2Mahmoud Ameri3Seyede Mojde Sadat Haghighi4School of Civil EngineeringSchool of Civil EngineeringDepartment of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringThis study assesses the relationship that existed between various variables and their subvariables on rural roads in Qom, Iran, using statistical analysis and calculates the relationship between the considered factors and accident severity. A logit model was applied to determine the factors affecting the severity of accidents. In addition, two artificial neural network (ANN) models were developed using two kinds of learning methods to train neurons to select the best result. The results of modeling and analysis of accidents using various techniques revealed that each technique, depending on its purpose, examined the severity of accidents from a different point of view and represented various outcomes. Finally, the performance of the proposed models was validated utilizing other mathematical models. As a result, putting the output results together, the best measures can be suggested to increase the safety of people on rural roads. The outcomes of this study may aid these service providers in strategic planning and policy framework.http://dx.doi.org/10.1155/2023/8089395 |
| spellingShingle | Mohammad Habibzadeh Pooyan Ayar Mohammad Hassan Mirabimoghaddam Mahmoud Ameri Seyede Mojde Sadat Haghighi Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods Journal of Advanced Transportation |
| title | Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods |
| title_full | Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods |
| title_fullStr | Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods |
| title_full_unstemmed | Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods |
| title_short | Analysis of the Severity of Accidents on Rural Roads Using Statistical and Artificial Neural Network Methods |
| title_sort | analysis of the severity of accidents on rural roads using statistical and artificial neural network methods |
| url | http://dx.doi.org/10.1155/2023/8089395 |
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