Comparison of Italian and Hungarian Black Spot Ranking
Borsos, A. ; Cafiso, S. ; D'Agostino, C. LU
and Miletics, D.
(2016)
In Transportation Research Procedia
14.
p.2148-2157
- Abstract
Black spot ranking is an important tool for finding the sites with potential safety improvement on the road network. The EU Directive on Road Infrastructure Safety Management also demands the ranking of high accident concentration sites. This paper gives an introduction to localizing high accident concentration sites and the indicators used by Italy and Hungary. Accident and traffic volume data are gathered for motorway sections from both countries. Safety ranking is made using two conventional indicators, absolute number of accidents and accident rate. A more sophisticated ranking using the Empirical Bayes method is applied. Expected average crash frequency with Empirical Bayes adjustment is calculated. Based on the estimation of the... (More)
Black spot ranking is an important tool for finding the sites with potential safety improvement on the road network. The EU Directive on Road Infrastructure Safety Management also demands the ranking of high accident concentration sites. This paper gives an introduction to localizing high accident concentration sites and the indicators used by Italy and Hungary. Accident and traffic volume data are gathered for motorway sections from both countries. Safety ranking is made using two conventional indicators, absolute number of accidents and accident rate. A more sophisticated ranking using the Empirical Bayes method is applied. Expected average crash frequency with Empirical Bayes adjustment is calculated. Based on the estimation of the crash frequency, the Critical Crash Rate (CCR) was added to identify and rank black spots. This additional performance measure is able to take into account traffic volume as required by the EU Directive. Results of the Empirical Bayes method are compared with the conventional procedures. It is concluded that the results are not comparable; inasmuch as there are modifications in the order of black spots. Based on the comparison of results recommendations are given to change the practice in both countries.
(Less)
- author
- Borsos, A.
; Cafiso, S.
; D'Agostino, C.
LU
and Miletics, D.
- publishing date
- 2016-01-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Empirical Bayes method, road safety, safety ranking
- in
- Transportation Research Procedia
- volume
- 14
- pages
- 10 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:84991393506
- ISSN
- 2352-1465
- DOI
- 10.1016/j.trpro.2016.05.230
- language
- English
- LU publication?
- no
- id
- 38e9bd2a-1e77-4f4b-8ab9-4d1e15e62676
- date added to LUP
- 2019-06-19 08:37:54
- date last changed
- 2022-03-25 20:37:22
@article{38e9bd2a-1e77-4f4b-8ab9-4d1e15e62676,
abstract = {{<p>Black spot ranking is an important tool for finding the sites with potential safety improvement on the road network. The EU Directive on Road Infrastructure Safety Management also demands the ranking of high accident concentration sites. This paper gives an introduction to localizing high accident concentration sites and the indicators used by Italy and Hungary. Accident and traffic volume data are gathered for motorway sections from both countries. Safety ranking is made using two conventional indicators, absolute number of accidents and accident rate. A more sophisticated ranking using the Empirical Bayes method is applied. Expected average crash frequency with Empirical Bayes adjustment is calculated. Based on the estimation of the crash frequency, the Critical Crash Rate (CCR) was added to identify and rank black spots. This additional performance measure is able to take into account traffic volume as required by the EU Directive. Results of the Empirical Bayes method are compared with the conventional procedures. It is concluded that the results are not comparable; inasmuch as there are modifications in the order of black spots. Based on the comparison of results recommendations are given to change the practice in both countries.</p>}},
author = {{Borsos, A. and Cafiso, S. and D'Agostino, C. and Miletics, D.}},
issn = {{2352-1465}},
keywords = {{Empirical Bayes method; road safety; safety ranking}},
language = {{eng}},
month = {{01}},
pages = {{2148--2157}},
publisher = {{Elsevier}},
series = {{Transportation Research Procedia}},
title = {{Comparison of Italian and Hungarian Black Spot Ranking}},
url = {{http://dx.doi.org/10.1016/j.trpro.2016.05.230}},
doi = {{10.1016/j.trpro.2016.05.230}},
volume = {{14}},
year = {{2016}},
}