Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand
The Department of Rural Roads (DRR) is one of the highway authorities in Thailand responsible for over 48 000 kilometres of rural roads and highway networks. One of its responsibilities is to provide better road safety management. In road safety procedures, black spots are usually identified by obse...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2021-12-01
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| Series: | Engineering Management in Production and Services |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/emj-2021-0031 |
| _version_ | 1819000987761770496 |
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| author | Treeranurat Wanit Suanmali Suthathip |
| author_facet | Treeranurat Wanit Suanmali Suthathip |
| author_sort | Treeranurat Wanit |
| collection | DOAJ |
| description | The Department of Rural Roads (DRR) is one of the highway authorities in Thailand responsible for over 48 000 kilometres of rural roads and highway networks. One of its responsibilities is to provide better road safety management. In road safety procedures, black spots are usually identified by observing the frequency of accidents at a particular road section. This research aims to develop a model that includes levels of accident severity in the black spot identification process. The classification of severity levels includes fatalities, serious injuries, minor injuries, and damaged property only. The Analytic Hierarchy Process (AHP) is employed to derive the weight of each severity level. The identification model is developed using Equivalent Accident Number (EAN) and Upper Control Limit (UCL). The data applied in the model are obtained from the road accident investigation of DRR. Five roads — Nakhon Ratchasima 3052, Chonburi 1032, Nonthaburi 3021, Samutprakarn 2001 and Chiangmai 3029 — have been selected based on the top frequency accident recorded in the last three years. Based on the results of black spots identified in the study, most accidents occurred from frontal and rear-ended impacts due to exceeded speed limits. The article discusses recommendations. |
| first_indexed | 2024-12-20T22:42:03Z |
| format | Article |
| id | doaj.art-c0fddd1e8e114638ab997cc9de45987b |
| institution | Directory Open Access Journal |
| issn | 2543-912X |
| language | English |
| last_indexed | 2024-12-20T22:42:03Z |
| publishDate | 2021-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Engineering Management in Production and Services |
| spelling | doaj.art-c0fddd1e8e114638ab997cc9de45987b2022-12-21T19:24:26ZengSciendoEngineering Management in Production and Services2543-912X2021-12-01134577110.2478/emj-2021-0031Determination of black spots by using accident equivalent number and upper control limit on rural roads of ThailandTreeranurat Wanit0Suanmali Suthathip1TREC, Sirindhorn International Institute of Technology, Thammasat University, ThailandTREC, Sirindhorn International Institute of Technology, Thammasat University, ThailandThe Department of Rural Roads (DRR) is one of the highway authorities in Thailand responsible for over 48 000 kilometres of rural roads and highway networks. One of its responsibilities is to provide better road safety management. In road safety procedures, black spots are usually identified by observing the frequency of accidents at a particular road section. This research aims to develop a model that includes levels of accident severity in the black spot identification process. The classification of severity levels includes fatalities, serious injuries, minor injuries, and damaged property only. The Analytic Hierarchy Process (AHP) is employed to derive the weight of each severity level. The identification model is developed using Equivalent Accident Number (EAN) and Upper Control Limit (UCL). The data applied in the model are obtained from the road accident investigation of DRR. Five roads — Nakhon Ratchasima 3052, Chonburi 1032, Nonthaburi 3021, Samutprakarn 2001 and Chiangmai 3029 — have been selected based on the top frequency accident recorded in the last three years. Based on the results of black spots identified in the study, most accidents occurred from frontal and rear-ended impacts due to exceeded speed limits. The article discusses recommendations.https://doi.org/10.2478/emj-2021-0031black spotequivalent accident numberroad safetyrural roads |
| spellingShingle | Treeranurat Wanit Suanmali Suthathip Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand Engineering Management in Production and Services black spot equivalent accident number road safety rural roads |
| title | Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand |
| title_full | Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand |
| title_fullStr | Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand |
| title_full_unstemmed | Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand |
| title_short | Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand |
| title_sort | determination of black spots by using accident equivalent number and upper control limit on rural roads of thailand |
| topic | black spot equivalent accident number road safety rural roads |
| url | https://doi.org/10.2478/emj-2021-0031 |
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