A Model for Identifying Road Risk Class
In many road safety, traffic management, and travel planning analyses, it is useful to classify road sections according to risk level. Such classification is labour-intensive and needs to be reviewed periodically. The authors propose a model for identifying a discrete risk class for road sections ba...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2023-04-01
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| Series: | Transport and Telecommunication |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ttj-2023-0015 |
| _version_ | 1827953096360198144 |
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| author | Ryguła Artur Brzozowski Krzysztof Maczyński Andrzej |
| author_facet | Ryguła Artur Brzozowski Krzysztof Maczyński Andrzej |
| author_sort | Ryguła Artur |
| collection | DOAJ |
| description | In many road safety, traffic management, and travel planning analyses, it is useful to classify road sections according to risk level. Such classification is labour-intensive and needs to be reviewed periodically. The authors propose a model for identifying a discrete risk class for road sections based on selected traffic flow parameters, which are available in most measurement systems monitoring current traffic conditions. The Surrogate Safety Measures approach was applied in the model formulated using Principal Components Analysis. As input to the model SSMs are used in the form of a set of hourly average traffic flow parameters. The SSMs used are: the percentage of light vehicles exceeding the speed limit by a value in the range 21 to 30 km/h; the percentage of light vehicles exceeding the speed limit by more than 30 km/h; the traffic volume of light vehicles; the traffic volume of heavy vehicles and the mean speeds of light vehicles and heavy vehicles. |
| first_indexed | 2024-04-09T14:08:48Z |
| format | Article |
| id | doaj.art-6af33c59b62d45f082e60c6135408c42 |
| institution | Directory Open Access Journal |
| issn | 1407-6179 |
| language | English |
| last_indexed | 2024-04-09T14:08:48Z |
| publishDate | 2023-04-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Transport and Telecommunication |
| spelling | doaj.art-6af33c59b62d45f082e60c6135408c422023-05-06T15:50:46ZengSciendoTransport and Telecommunication1407-61792023-04-0124216717910.2478/ttj-2023-0015A Model for Identifying Road Risk ClassRyguła Artur0Brzozowski Krzysztof1Maczyński Andrzej21University of Bielsko-Biala, Department of Transport, Poland, 43-309 Bielsko-Biala, Willowa 22University of Bielsko-Biala, Department of Transport, Poland, 43-309 Bielsko-Biala, Willowa 23University of Bielsko-Biala, Department of Transport, Poland, 43-309 Bielsko-Biala, Willowa 2In many road safety, traffic management, and travel planning analyses, it is useful to classify road sections according to risk level. Such classification is labour-intensive and needs to be reviewed periodically. The authors propose a model for identifying a discrete risk class for road sections based on selected traffic flow parameters, which are available in most measurement systems monitoring current traffic conditions. The Surrogate Safety Measures approach was applied in the model formulated using Principal Components Analysis. As input to the model SSMs are used in the form of a set of hourly average traffic flow parameters. The SSMs used are: the percentage of light vehicles exceeding the speed limit by a value in the range 21 to 30 km/h; the percentage of light vehicles exceeding the speed limit by more than 30 km/h; the traffic volume of light vehicles; the traffic volume of heavy vehicles and the mean speeds of light vehicles and heavy vehicles.https://doi.org/10.2478/ttj-2023-0015trafficrisk mappingsurrogate safety measuresindividual risk classpcawim |
| spellingShingle | Ryguła Artur Brzozowski Krzysztof Maczyński Andrzej A Model for Identifying Road Risk Class Transport and Telecommunication traffic risk mapping surrogate safety measures individual risk class pca wim |
| title | A Model for Identifying Road Risk Class |
| title_full | A Model for Identifying Road Risk Class |
| title_fullStr | A Model for Identifying Road Risk Class |
| title_full_unstemmed | A Model for Identifying Road Risk Class |
| title_short | A Model for Identifying Road Risk Class |
| title_sort | model for identifying road risk class |
| topic | traffic risk mapping surrogate safety measures individual risk class pca wim |
| url | https://doi.org/10.2478/ttj-2023-0015 |
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