Simulation, analysis and modelling of future efficient traffic systems

Important results from the project

The overall objective of the project was met. Although the planned deliverable evolved from a specific simulation tool to a more general methodological framework, this strengthened the relevance and usability of the project. The project contributed with new, validated methods for the analysis, planning and operation of electric autonomous mobility services under uncertainty and delivered scientific results with high generalizability and industrial applicability.

Expected long term effects

The project is expected to contribute to more robust, energy-efficient and reliable mobility systems in the long term. Through new simulation methods for analysis and control of electric and autonomous vehicle fleets under uncertainty, the results strengthen the possibilities of both industry and society for more reliable decision-making data for planning and developing sustainable mobility services with a high level of service and resource efficiency.

Approach and implementation

The project was carried out as an industrial doctoral project in close collaboration between Volvo Cars and Chalmers. The work was carried out iteratively with integrated model development, simulation and evaluation, which proved to be an appropriate approach. The project mainly followed the schedule, although the focus gradually shifted towards method development rather than a specific tool. The collaboration worked well and no major external obstacles affected the implementation.