Intelligent garage and predictive maintenance

Currently the maintenance of buses is managed using basic procedures. Applying standard IT architectures for collecting maintenance data in addition to the use of innovative systems based for instance on augmented reality and vehicle automation for intelligent garage can contribute to achieve a relevant saving (at least 10%) of the maintenance costs considering cost categories such as warehouse, labour, diagnostic vehicle immobilisation etc. The EBSF_2 tests on intelligent garage will focus on the definition of new algorithms for predictive maintenance, the use of innovative tools for bus depot and offers a new way to manage bus fleets with new maintenance procedures.