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We describe an open-source processing pipeline to generate a synthetic population consisting of individual persons with coordinate-based daily activity schedules for the state of Bavaria, Germany, and the city of Munich. Furthermore, we present an agent-based transport simulation covering the mode choice behaviour of the population. The approach is entirely based on open data available in Germany, which renders the outcomes fully reproducible. We compare the outcomes to regional reference data and discuss use cases and steps for future improvement of the model.

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Towards a Replicable Synthetic Population and Agent-Based Transport Model for Bavaria

  • 会议论文

  • 发表日期：

    2026年

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  • Sebastian Hörl,
  • Arthur Burianne,
  • Elena Natterer,
  • Roman Engelhardt,
  • Johannes Müller

摘要

We describe an open-source processing pipeline to generate a synthetic population consisting of individual persons with coordinate-based daily activity schedules for the state of Bavaria, Germany, and the city of Munich. Furthermore, we present an agent-based transport simulation covering the mode choice behaviour of the population. The approach is entirely based on open data available in Germany, which renders the outcomes fully reproducible. We compare the outcomes to regional reference data and discuss use cases and steps for future improvement of the model.