Data-Driven Optimization for Intelligent and Efficient Transports (DOIT)
Purpose and goal
The primary objective of the DoIT project is demonstrate the implementation of a data driven approach and how this can to applied within the heavy duty transport domain. This primary objective has been fulfilled by the development and research into assignment planning optimization and fuel prediction models.
Expected results and effects
The project has resulted in a number of contributing factors including; -increased knowledge of big data and machine learning methods -development of data-driven fuel models for optimizing resource utilization and route planning; and minimization of fuel consumption -web based application demonstrating the solution as they apply to various use cases -publications have been submitted by SICS in relation to WP3 data analysis and WP4 data driven planning and optimization (T2017:06,T2017:07,T2018:01) -Two patient applications have been submitted by Scania
Planned approach and implementation
The project has been executed as defined in the original base report. This included organizing the project into five work packages with their own set of objectives and deliverables. The work packages were then allocated across resources at Scania and SICS. SICS was responsible for driving the research and development of algorithms. While Scania in a project management capacity ensured project milestones and objectives were achieved. Additionally Scania designed and developed a solution architecture that demonstrated the application of these algorithms created by SICS.