| Issue |
MATEC Web Conf.
Volume 334, 2021
The VI International Scientific and Practical Conference “Information Technologies and Management of Transport Systems” (ITMTS 2020)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 8 | |
| Section | Digital Technologies in Transport | |
| DOI | https://doi.org/10.1051/matecconf/202133402001 | |
| Published online | 15 January 2021 | |
Comparative analysis of methods to identify road sections with high accidents risk: a case study of E67 Estonia–Latvia–Lithuania corridor
1 Estonian Road Administration, Teelise 4, Tallinn, 10916, Estonia
2 Politechnika Krakowska, ul. Warszawska 24, Krakow, 31-155, Poland
* Corresponding author: apashkevich@pk.edu.pl
E67 road is a strategically important part of a North Sea – Baltic Core Network Corridor, connecting the three Baltic States with Finland, on the one hand, and with North Eastern Poland, on the other. So-called Via Baltica corridor services more than 30 000 vehicles per day being one of the major arteries for transit and heavy good vehicles transport in the region. Annually around 8 000 road accidents with casualties occur in the three Baltic States with more than 500 fatalities a year. Relatively high road safety risk exposure requires more efficient management of infrastructure safety issues. The three Baltic States use either black spot management (BSM) or network safety management (NSM) or a combination of these two approaches to treat dangerous road sections of the network. In this article three methodologies used in the Baltic countries for dangerous road sections and spots identification were described. Quantitative analysis of dangerous sections/spots identified by the three methodologies was performed for the whole Via Baltica corridor to reveal the differences between the methods used.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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