FUMA - Fleet telematics big data analytics for vehicle Usage Modeling and Analysis

Purpose and goal

The purpose of the project was to create information based on GPS positions using big data calculations. The information should be used partly to describe the operation of a vehicle but also to identify transport networks in a large fleet of vehicles. A visualization of information should be created. The mission is accomplished since the code is currently used at Scania and a visualization environment has been created that has been used to demonstrate identified transport networks.

Expected results and effects

The result of the project has contributed to the goals of FFI and BADA by increasing Sweden´s knowledge of advanced calculations, in addition to the project team´s knowledge acquisition a large number of presentations have been given and four graduate students have been examined. Another result of the project is the increased collaboration between industry and academia, both through FCC and Scania improved collaboration but also by contributing to the SICS RISE data sharing platform.

Planned approach and implementation

The project work was carried out by one team from FCC and Scania. Most of the collaboration has been using agile methods, with a clear focus on common working methods and continuous deliveries. The work has been divided into six work packages with clear milestones. To ensure the usability of the results at Scania, an active reference group has been involved in guiding the project. In order to receive feedback from other parts of the research world, RISE has also participated in the reference group.