Database of research and development projects
Predictive vehicle maintenance system
Provider: Technology Agency of the Czech Republic
Programme: Transport 2020+
Implementation period: 02/2020–12/2022
Workplace: Jan Perner Faculty of Transport – Department of Transport Management, Marketing and Logistics
Principal Investigator: Soušek Radovan
Co-investigators:
Description:
The project aims to create a semi-operational system for predictive vehicle maintenance, including the following: -Analysis and creation of advanced tools for optimization of the supply chain and workforce and design of tools for planning human resources and repairs of equipment. -Design of a new data warehouse form, which will allow the above and the connection of data from vehicles and infrastructure – sensor data. -Implementation of machine learning to predict vehicle failures and optimize planning over system and sensor data fusion. -Recommendations for developing tender documentation for service software for dispatchers, field workers and transport company management. -Algorithmic vehicle maintenance planning using P-graph methodology.
