Identification of Hazardous Locations in Regional Road Network – Comparison of Reactive and Proactive Approaches
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F16%3AN0000055" target="_blank" >RIV/44994575:_____/16:N0000055 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.trpro.2016.05.392" target="_blank" >http://dx.doi.org/10.1016/j.trpro.2016.05.392</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trpro.2016.05.392" target="_blank" >10.1016/j.trpro.2016.05.392</a>
Alternative languages
Result language
angličtina
Original language name
Identification of Hazardous Locations in Regional Road Network – Comparison of Reactive and Proactive Approaches
Original language description
The study objective is to compare three approaches to identification of hazardous road locations: (1) Traditional reactive accident-based approach, resulting in identification of accident black spots; (2) State-of-the-art empirical Bayes method using accident prediction model, which identifies critical locations, i.e. both real and potential black spots; (3) Proactive “preliminary” road safety inspection, identifying the risk factors, which may potentially increase accident occurrence and severity. Regional rural road network (approx. 1000 km) in South Moravia, Czech Republic was used. The methods were applied in identification and ranking of hazardous road locations in the studied network. It was found that black spot approach is not a suitable method, especially in low-volume road network with scattered accident occurrence. On the other hand risk index, based on road safety inspection, is a valid alternative, with ranking performance comparable to state-of-the-art empirical Bayes method. In addition both empirical Bayes and risk index methods are compared with respect to their data requirements. Their mutual application is recommended as a suitable replacement of traditional black spot management, as well as a step forward to a proactive road network safety management.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20104 - Transport engineering
Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0064" target="_blank" >ED2.1.00/03.0064: Transport R&D Centre</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Transportation Research Procedia (Transport Research Arena TRA2016)
ISBN
—
ISSN
2352-1465
e-ISSN
—
Number of pages
9
Pages from-to
4209-4217
Publisher name
—
Place of publication
—
Event location
Varšava
Event date
Apr 18, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000383251004032