Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | The 9th International Conference on Environmental Engineering (ICEE) |
| Subtitle of host publication | Selected papers |
| Editors | Donatas Cygas, Tomaz Tollazzi |
| 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 → … |
Publication series
| Series | International Conference on Environmental Engineering (ICEE) |
|---|---|
| Volume | 9 |
| ISSN | 2029-7106 |
Conference
| Conference | 9th International Conference on Environmental Engineering, ICEE 2014, 22 - 23 May 2014, Vilnius, Lithuania |
|---|---|
| Period | 1/01/14 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities
Keywords
- traffic safety
- road accident
- estimation
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