Objective #1:
To significantly reduce lifecycle costs by minimising the number and scope of maintenance interventions performed on crossings. This will be achieved by using data methods to improve the quality control of interventions.
Objective #2:
To significantly reduce in-service disruptions (e.g. delay minutes) due to fewer actionable track crossing surface defects and associated failures. This will be achieved by developing new lightweight 3D scanning procedures and computer vision algorithms for crossing inspection.
Objective #3:
To extend the lifespan of crossings by providing maintainers with data-driven tools to guide maintenance and ensure quality. This will be achieved through an augmented reality app that projects a heatmap overlay on-site and a 3D printed visualization tool.
Objective #1:
To significantly reduce lifecycle costs by minimising the number and scope of maintenance interventions performed on crossings. This will be achieved by using data methods to improve the quality control of interventions.
Objective #2:
To significantly reduce in-service disruptions (e.g. delay minutes) due to fewer actionable track crossing surface defects and associated failures. This will be achieved by developing new lightweight 3D scanning procedures and computer vision algorithms for crossing inspection.
Objective #3:
To extend the lifespan of crossings by providing maintainers with data-driven tools to guide maintenance and ensure quality. This will be achieved through an augmented reality app that projects a heatmap overlay on-site and a 3D printed visualization tool.