Advancing the MATSim Open Berlin Scenario: Improvements in transport scenario generation and calibration methods

This study enhances the MATSim Open Berlin Scenario, a multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data. Shortcomings of the existing model, such as outdated data sources or limited granularity of activity patterns, are addressed. Another major improvement is the implementation of an automated calibration process, which not only reduces the time required for manual calibration but also enhances the overall quality of the model. Additionally, recent advancements, including the integration of commercial traffic and web-based visualization tools, have been incorporated into the model. The scenario is evaluated using a range of metrics and compared against survey data, travel times from online routing services, and data from stationary counting stations. The evaluation demonstrates that the model effectively captures personal traffic, surpassing the previous MATSim Open Berlin Scenario in many aspects. However, achieving the same level of representation for commercial traffic and transit traffic from outside the study area is challenging due to the lack of detailed data.