ACCELERATE (Massively Scalable Connected Vehicle Services for Transport Efficiency)
| Reference number | |
| Coordinator | Scania CV Aktiebolag - Avd REIO |
| Funding from Vinnova | SEK 2 555 000 |
| Project duration | January 2016 - December 2016 |
| Status | Completed |
| End-of-project report | 2015-04851eng.pdf (pdf, 930 kB) |
Purpose and goal
The main objectives of the project were to apply Big Data and AI approaches to real OEM vehicle and transport data flows, with the purpose of providing the vehicle industry in general, and Scania in particular, with new real-time analytics capabilities for exploiting the ever-growing feeds of data from connected vehicle fleets, thus overcoming some of the data ´bottleneck´ problems, described in the FFI-BADA Programme Description.
Expected results and effects
The project has resulted in a robust, future-proof test bed for massively scalable, connected vehicle and transport-related real-time data, where heavy vehicles in actual traffic can be visualized and analyzed for transport planning and traffic control purposes. The test bed, which has been made a part of Scania´s transport management demonstration environment, exploits novel AI-methods for data aggregation, spatio-temporal selection, semantic relations and predictive analytics.
Planned approach and implementation
The project parties have collaborated closely around large datasets, including Scania´s internal vehicle data and external data feeds, in particular from public transport actors. By iterative project meetings and workshops, a significant mutual knowledge transfer has been obtained regarding technology, algorithms, methods and data standards. Both parties have developed their competence level and technology base and Scania has gained additional capabilities for further product development based on the project results.