On-Board Monitoring techniques, defined as using commercial trains to monitor the track status, have garnered much attention recently. While data come in relatively low quality, OBM is a low-cost and efficient alternative to traditional monitoring methods. Thus, funded by the ETH Mobility Initiative project OMISM, this study checks the viability of applying such data in several prediction models.
Maintenance and Advanced Analytics in Railways
