Accelerate 2

Purpose and goal

Large benefits can be achieved if one create an automatic technical system that can perform real-time analysis of GPS-coordinates and with low latency can identify each specific departure that every anonymous coordinate stream is associated with. This can improve effectiveness and quality of transport services. Together have Scania and Veridict increased their understanding of how AI can be utilized in Traffic management systems and have performed tests with potential customers to communicate what is possible and received valuable feedback.

Expected results and effects

The project has built competence within the area of Traffic Management Systems with applications of AI and machine learning. The project has developed an AI-based technology that with the use if static traffic data (from traffic plan and GIS data) can match large amounts of GPS position streams in real time against the right trip information. The project is expected to provide enhancements of precision, quality and efficiency in future traffic management systems, with benefits for operators, transport buyers and riders.

Planned approach and implementation

The project has been conducted with a high level of industrial collaboration, utilizing data from real traffic conditions, in collaboration with Scanias transport services and Scania Transportlab, but also with involvement of a Swedish bus operator that have been actively participating in tests and confirmation of project hypotheses. In addition, a large Nordic cruise line has participated for use cases with their bus feeder traffic. Also large amounts of real time GPS-data from two public transport agencies has been utilized.