Optimization of the Onboard Computer

Abstract: As the population is growing, the need for sustainable and safe mobility solutions increases. The evolution of technology within the railway industry is crucial for a more connected world. Hence, it is important to potimize the Automatic Train Protection, ATP, to ensure that high-speed trains remain fast and safe. To do this, a part of the real world system is simulated on the Onboard Computer, CoHP, the main part of ATP. Thereafter, scheduling theory is applied to create a Flow shop model of the CPU, and then optimizing the order in which the processes are executed. The results from this, were that the most optimal ordering performed worse than the Default Scenario, while the least optimal ordering performed better than the Default Scenario. The Worst Scenario, where the order was least optimal, had a decrease in load between 1% and 20%. However, not enough testing was done to draw proper conclusions in the project. Further testing is needed to be sure about the application of scheduling theory and its effect on the performance of the CoHP.