Abstract
| Original language | English |
|---|---|
| Title of host publication | International Conference on Environmental Engineering (ICEE) Selected papers |
| Number of pages | 7 |
| ISBN (Electronic) | 978-609-457-690-4 |
| DOIs | |
| Publication status | Published - 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | 9th International Conference on Environmental Engineering, ICEE 2014, 22 - 23 May 2014, Vilnius, Lithuania - Duration: 1 Jan 2014 → … |
Conference
| Conference | 9th International Conference on Environmental Engineering, ICEE 2014, 22 - 23 May 2014, Vilnius, Lithuania |
|---|---|
| Period | 1/01/14 → … |
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Keywords
- traffic safety
- road accident
- estimation
Cite this
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Identification of high accident concentration sections on the Lithuanian roads of national significance. / Ratkeviciute, K.; Jasiuniene, V.; Peltola, Harri.
International Conference on Environmental Engineering (ICEE) Selected papers. 2014.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Identification of high accident concentration sections on the Lithuanian roads of national significance
AU - Ratkeviciute, K.
AU - Jasiuniene, V.
AU - Peltola, Harri
N1 - Project code: 80726
PY - 2014
Y1 - 2014
N2 - Seeking for accident prevention and not waiting until accidents occur and the black spot is formed, it is necessary to use accident prediction models and to implement safety improvement measures on the potentially dangerous road sections, thus, preventing the formation of new high accident concentration sections. The paper describes how to identify high accident concentration sections on roads using accident prediction models and the critical value of predicted accidents.
AB - Seeking for accident prevention and not waiting until accidents occur and the black spot is formed, it is necessary to use accident prediction models and to implement safety improvement measures on the potentially dangerous road sections, thus, preventing the formation of new high accident concentration sections. The paper describes how to identify high accident concentration sections on roads using accident prediction models and the critical value of predicted accidents.
KW - traffic safety
KW - road accident
KW - estimation
U2 - 10.3846/enviro.2014.166
DO - 10.3846/enviro.2014.166
M3 - Conference article in proceedings
SN - 978-609-457-640-9
BT - International Conference on Environmental Engineering (ICEE) Selected papers
ER -