Introducing Scaled Model Development to on-Sight Automatic Train Operation

Rail systems are often not an economic option in terms of flexibility and cost in intermodal competition. To address this issue, there is a push towards implementing automation and digitalization components. In recent years, there has been a strong focus on on-sight automated train operation systems. As the applications move beyond protected areas such as metro systems, to complex on-sight driving scenarios, the demands on system development, verification, and validation increase. Methods from the automotive industry are well known for overcoming these challenges with virtual development and final field testing. Fundamentally different operating conditions prevent sufficient field testing, as rail infrastructure and vehicles are difficult to procure for development and testing purposes. In science and research, scaled models are being promoted for similar problems. These models allow for simulations to be verified and favorable estimates to be made. This paper demonstrates the possib ility of using scaled model methods for the development of on-sight automatic train operation (ATO) functions. A demonstrator of a highly automated shunting locomotive is being built as a scaled model and equipped with sensors for environment detection and localization as well as communication interfaces. ... mehrThe feasibility of ATO functions in the scaled model is demonstrated using defined use cases.