| Title |
Do meteorological and road conditions influence Animal-Vehicle Collisions? |
| Authors |
Ignatavičius, Gytautas ; Ulevičius, Alius ; Valskys, Vaidotas ; Matačina, Lina |
| DOI |
10.3846/enviro.2026.2453 |
| eISBN |
9786094764448 |
| Full Text |
|
| Is Part of |
Proceedings of the 13th international scientific conference "Environmental engineering", April 23–24, 2026, Vilnius, Lithuania.. Vilnius : Vilnius Gediminas Technical University, 2026. p. [1-7].. eISSN 2029-7092. eISBN 9786094764448 |
| Keywords [eng] |
human-wildlife conflict ; meteorological conditions ; traffic safety |
| Abstract [eng] |
Significant uncertainty remains regarding the relationship between meteorological conditions and AnimalVehicle Collisions (AVCs). This study aimed to evaluate the influence of meteorological and related road conditions on AVC occurrence in Lithuania. Meteorological data and collision records from 56 automatic weather stations were linked with 1,632 AVCs reported between 2018 and 2022. Principal Component Analysis (PCA) revealed that meteorological variables form two statistically significant groups with contrasting associations with AVC occurrence. The first group – characterized by higher air and road surface temperatures, greater visibility, and a higher road adhesion coefficient – was positively associated with AVC occurrence. In contrast, the second group, defined by snow and ice cover, rain intensity, and the presence of water on the road surface, showed a negative association with AVC occurrence. These findings suggest that AVC risk increases under favourable driving conditions, likely due to changes in driver behaviour, whereas adverse weather conditions may reduce collision risk as drivers tend to exercise greater caution. Overall, the results provide new insights into the role of meteorological and road conditions in AVC dynamics and highlight the importance of considering human behavioural responses when developing AVC mitigation strategies. |
| Published |
Vilnius : Vilnius Gediminas Technical University, 2026 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2026 |
| CC license |
|
