Kombination av makronivåmodeller och agentbaserade modeller för förbättrad analys av åtgärders effekter på transportsystem

Combination of macro-level models and agent-based models for improved analysis of the effects of measures on transport systems

To reach the societal goals, it is important to use the existing transport infrastructure as efficient as possible. The project has examined how it is possible to combine macro-level and agent-based modeling to improve the impact analysis of transport policy and infrastructure measures. The project has identified three approaches for how to combine macro-level and agent-based modeling: conducting supplementary sub-systems, exchange of data between models, and integrating macro-level and agent-based models. The identified approaches have been evaluated in two case studies, in which we have provided several examples of how it is possible to combine macro-level and agent-based modeling for improved analysis.