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Analyzing Urban Midblock Crash Severity Outcomes Using Proposed Three-Step Pattern Clustering
| 题名： | Analyzing Urban Midblock Crash Severity Outcomes Using Proposed Three-Step Pattern Clustering |
| 正文语种： | eng |
| 作者： | Santanu Barman;Ranja Bandyopadhyaya |
| 作者单位： | Dept. of Civil Engineering National Institute of Technology Patna Ashok Rajpath Patna Bihar 800006 India;Dept. of Civil Engineering National Institute of Technology Patna Ashok Rajpath Patna Bihar 800006 India |
| 关键词： | Three-step pattern mining; Crash data; Association rule mining; K-mode clustering; Crash severity |
| 摘要： | Low-speed urban midblock sections of old cities of developing countries that have multiple access point, illegal median cuts or breaks, or restricted and broken shoulders witness good number of severe and fatal crashes, comparable to crashes at intersections. Limited studies have focused on analyzing factors influencing fatal and severe crashes for these types of locations. Traditionally, crash severity patterns are analyzed by a two-step pattern mining approach. In the first step the heterogeneous crash data set is partitioned into more homogeneous groups, and important crash severity patterns are mined using the association algorithm for each group. However, large number of association rules are obtained, which are overlapping, and filtering nonoverlapping rules is a challenge. In this study a three-step crash pattern mining approach is proposed, where after obtaining the association rules, important nonoverlapping rules are filtered using the K-mode clustering algorithm. This provides a clear set of important nonoverlapping crash severity patterns. Important crash severity patterns for crashes occurring at midblock sections of low-speed urban roads are analyzed using the proposed algorithm. It was observed that heavy vehicle or vulnerable road user involvement play an important role in deciding severity outcomes. Important influence of illegal median cut, shoulder, and marking on crash severity outcomes could be observed. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 149 |
| 期： | 7 |
| 页码： | 05023003.1-05023003.14 |
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