Master Thesis: Evaluation of Drone-Based Inspection Solutions for TRAXX Service Process Optimization
The objective of this master thesis is to analyze the current preparation and servicing process of TRAXX locomotives and identify opportunities to improve efficiency, quality, and safety through the application of innovative technologies.
The thesis shall begin with a detailed assessment of the existing preparation workflow, including the identification of time-consuming activities, operational constraints, and potential improvement areas. Based on this analysis, concepts shall be developed for the integration of drone-based inspection and supervision solutions. Potential use cases may include the inspection of coupling points, pantographs, roof-mounted equipment, underframe components, and other areas that are difficult to access during routine preparation activities.
Depending on the candidate's interests and competencies, the work can focus on one of two directions:
The thesis shall conclude with recommendations for the practical implementation of drone-supported solutions within the TRAXX service environment and an assessment of their technical and economic feasibility.
Expected Outcome: A well-founded concept and/or prototype demonstrating how drone technology can contribute to reducing locomotive preparation and service times while maintaining or improving safety and quality standards.

Alstom commits to contribute to a low carbon future by developing and promoting innovative and sustainable transportation solutions that people enjoy riding. From high-speed trains, metros, monorails, trams, to turnkey systems, services, infrastructure, signalling and digital mobility, Alstom offers its diverse customers the broadest portfolio in the industry. With its presence in 63 countries and a talent base of over 80,000 people from 175 nationalities, the company focuses its design, innovation, and project management skills to where mobility solutions are needed most.