The potential of ITS measures in vehicles and infrastucture to reduce accidents with wild animals.
| Reference number | |
| Coordinator | Statens Väg- & Transportforskningsinstitut - Statens väg- & transportforskningsinstitut VTI |
| Funding from Vinnova | SEK 320 000 |
| Project duration | February 2023 - November 2023 |
| Status | Completed |
| Venture | Strategic Innovation Program Drive Sweden |
Purpose and goal
The aim has been to identify ITS that can help to avoid or mitigate the impact of a wildlife accident on the part of the road network where it is not justified to implement physical measures. The goal has been to identify areas that require continued research to ensure well-motivated ITS measures in infrastructure and vehicles for different parts of the road network, as well as to ensure high compliance with the systems, so that a measurable reduction in the number of wildlife accidents is possible.
Expected results and effects
Five areas have been identified: (1) Improved wildlife detection by exploiting new and available data sources, (2) Evaluation of the effectiveness of ITS from data and knowledge, (3) Prediction of accident risk for application of correct ITS measures, (4) Studies on user behavior of ITS to reduce wildlife accidents and (5) Development and evaluation of ITS that reduce impact of wildlife accidents. Through research and cooperation between actors in the above areas, we can contribute with knowledge that may lead to a reduction in the number of wildlife accidents on our roads.
Planned approach and implementation
The project has been carried out through a literature study to get the current state of the art of ITS measures aimed at reducing the number of wildlife accidents. One-to-one dialogues have been held with actors in the field of wildlife accidents, vehicles, roads and wildlife to include important aspects in the design of ITS, and to have the current status, and future research needs of ITS aimed at reducing the number of wildlife accidents. The project has led to the opportunity to identify actors that contributes to reducing number of wildlife accidents, but with different perspectives.