Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates
This study is intended to focus on the major factors affecting traffic crash rates and severity levels, in addition to identifying crash-prone locations (i.e., black spots) based on the two indicators. The available crash data for different road segments used for the analysis were obtained from the...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8837762 |
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| author | Dawei Li Mustafa F. M. Al-Mahamda |
| author_facet | Dawei Li Mustafa F. M. Al-Mahamda |
| author_sort | Dawei Li |
| collection | DOAJ |
| description | This study is intended to focus on the major factors affecting traffic crash rates and severity levels, in addition to identifying crash-prone locations (i.e., black spots) based on the two indicators. The available crash data for different road segments used for the analysis were obtained from the Washington state database provided by the Highway Safety Information System (HSIS) for the years 2006 to 2011. A Random Forest (RF) classifier was used to predict the outcome level of crash severity, while crash rates were predicted by applying RF regressor. Certain features were selected for each model besides the abstraction of new features to check if there are unobserved correlations affecting the independent variables, such as accounting for the number and weight of crashes within 1 km2 area by implementing the Getis-Ord Gi∗ index. Moreover, to calculate the collective risk (CR) score, crash rates were adjusted to incorporate crash severity weights (cost per severity type) and regression-to-the-mean (RTM) bias via Empirical Bayes (EB) method. Finally, segments were ranked according to their CR score. |
| format | Article |
| id | doaj-art-a4147a08026040408e55509074ef9494 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-a4147a08026040408e55509074ef94942025-08-20T03:38:24ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88377628837762Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash RatesDawei Li0Mustafa F. M. Al-Mahamda1School of Transportation, Southeast University, Nanjing 210096, ChinaSchool of Transportation, Southeast University, Nanjing 210096, ChinaThis study is intended to focus on the major factors affecting traffic crash rates and severity levels, in addition to identifying crash-prone locations (i.e., black spots) based on the two indicators. The available crash data for different road segments used for the analysis were obtained from the Washington state database provided by the Highway Safety Information System (HSIS) for the years 2006 to 2011. A Random Forest (RF) classifier was used to predict the outcome level of crash severity, while crash rates were predicted by applying RF regressor. Certain features were selected for each model besides the abstraction of new features to check if there are unobserved correlations affecting the independent variables, such as accounting for the number and weight of crashes within 1 km2 area by implementing the Getis-Ord Gi∗ index. Moreover, to calculate the collective risk (CR) score, crash rates were adjusted to incorporate crash severity weights (cost per severity type) and regression-to-the-mean (RTM) bias via Empirical Bayes (EB) method. Finally, segments were ranked according to their CR score.http://dx.doi.org/10.1155/2020/8837762 |
| spellingShingle | Dawei Li Mustafa F. M. Al-Mahamda Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates Journal of Advanced Transportation |
| title | Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates |
| title_full | Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates |
| title_fullStr | Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates |
| title_full_unstemmed | Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates |
| title_short | Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates |
| title_sort | collective risk ranking of highway segments on the basis of severity weighted crash rates |
| url | http://dx.doi.org/10.1155/2020/8837762 |
| work_keys_str_mv | AT daweili collectiveriskrankingofhighwaysegmentsonthebasisofseverityweightedcrashrates AT mustafafmalmahamda collectiveriskrankingofhighwaysegmentsonthebasisofseverityweightedcrashrates |