High-resolution trajectory data enable more detailed simulation modelling and enhance the accuracy of traffic performance estimates. This paper integrates such data within a simulation and investigates the applicability and accuracy of a microscopic traffic simulation in replicating real-world traffic conditions using data from the DLR research intersection in Braunschweig, Germany. While the results are promising, fragmented trajectories pose challenges in data conversion. To address this, a structured workflow was developed. A pre-calibration was conducted with focus on driver imperfection and desired minimum headway. Comparative analysis underscores the need to examine and refine driving models for turning, merging, and yellow light responses to improve realism. The granular data source proved valuable insights for model improvements.

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Leveraging Intersection Trajectory Data for Microscopic Traffic Simulation

  • Yun-Pang Flötteröd,
  • Peter Wagner

摘要

High-resolution trajectory data enable more detailed simulation modelling and enhance the accuracy of traffic performance estimates. This paper integrates such data within a simulation and investigates the applicability and accuracy of a microscopic traffic simulation in replicating real-world traffic conditions using data from the DLR research intersection in Braunschweig, Germany. While the results are promising, fragmented trajectories pose challenges in data conversion. To address this, a structured workflow was developed. A pre-calibration was conducted with focus on driver imperfection and desired minimum headway. Comparative analysis underscores the need to examine and refine driving models for turning, merging, and yellow light responses to improve realism. The granular data source proved valuable insights for model improvements.