Learning Fleet
| Reference number | |
| Coordinator | Volvo Technology AB - Avd 6320 Intelligent Vehicle Technologies |
| Funding from Vinnova | SEK 3 921 302 |
| Project duration | March 2013 - February 2016 |
| Status | Completed |
| Venture | Transport Efficiency |
| End-of-project report | 2012-04631eng.pdf (pdf, 4059 kB) |
Important results from the project
The main objective has been to validate the feasibility of the Learning Fleet concept through testing of an implemented prototype architectures and sample functionalities utilizing the collected fleet data. This in combination with analysis of potential services and business models and other activities concerning utilisation of fleet vehicle data, provided a base for assessment of the concept feasability.
Expected long term effects
Test and analysis of the implemented prototype architectures and applications indicates that the Learning Fleet concept has potential to support the user functionalities aimed for. From the analysis of services and business models and related activities like FFI BADA, SENSORIS and Autodrive Open Forum it can be concluded that ustilising data from vehicle fleets is considered as one of the most promising solutions for fast and efficient population of road attributes in maps and keeping them up to date.
Approach and implementation
The method has been to develop the data flow and data storage architecture based on user requirements from the applications and business models. In order to cover requirements from a wide range of functions areas in the requirement specification, applications were picked in fields like navigation, fuel efficiency, active safety and fleet management. The implementation work was divided in four packages; Efficient data infrastructure architecture, Applications (use case descriptions and requirement specifications), Business case analysis, Visualisation.