AI-based digital system for the prevention of animal collisions in train transportation systems

Purpose and goal:

One of the rail industry´s biggest challenges is collisions with wild animals that result in major material damage to the trains, delays, emotional trauma for train drivers as well as suffering or death for the animals. Current methods to reduce wildlife collisions on railways have proven to be relatively ineffective and therefore an objective of this project is to develop a new, digital and innovative solution that takes these problems into account.

Implementation of this advanced technology contributes to the development of a new type of digital infrastructure. Expected results and effects:

Within the project, it is expected to improve the railway infrastructure through the use of advanced technology that enables automatic deterrence of wild animals, thereby reducing the number of wildlife collisions. This will contribute to increased safety, efficiency and accessibility in the railway sector.

Approach and implementation:

This project will be led by Alstom in collaboration with FLOX, where both parties have extensive experience in their respective fields. Alstom, with its expertise in transportation solutions, and FLOX, with its innovative solutions for human-wildlife coexistence, will ensure that the project is implemented efficiently and successfully. The project will be divided and consist of work packages with a focus on implementation and integration, business model and system development, evaluation in operational environments and evaluation of results.