How to optimize and carry out split analysis from live GPS covered competitions via the Trackcourse platform

Abstract

The GPS coverage of sport competitions via the Trackcourse platform is currently limited by the lack of a live split generation feature. The study carried out aimed to discover the methods of allowing accurate split generation and optimalization of the processes occurring on Trackcourse’s server while calculating splits. The research followed an adjusted SPS (Structured-Pragmatic-Situational) approach to conducting case studies. During the study the extensive non-structured interviews were carried out along with a case observational study and the analysis of existing literature. The Trackcourse employees were interviewed, providing insights into current system design and previous approaches to the problem. The observational study was carried out by analysis of previous events carried out on the Trackcourse platform. The research resulted in creation of three step procedure containing creation guidelines that shall be followed when designing the split generation feature for live GPS covered competition on Trackcourse platform. The steps identify the presence of a control point and ensure optimisation for the server’s processes. These steps could be followed in creation of the live split generation feature also on other platforms. The study was limited by enclosing it in the Trackcourse environment. Hence, it might not directly apply to other platforms. There is a possibility to apply the results in industry and use the feature in Trackcourse platform. There is also an opportunity for further study of the split calculation and estimation algorithms with the use of machine learning. The study can be also extended by creating sport specific control presence verification conditions.