Automated Calibration of a Microscopic Traffic Flow Simulation Using Real-World Observations

In order to evaluate future mobility services as well as automated driving functions, a virtual environment is required. As a key component of this virtual proving ground, a traffic flow simulation is necessary to represent real-world traffic conditions. Real-world observations, such as historical traffic counts and traffic light state information, provide a basis for the representation of these conditions in the simulation. A main challenge arises in allocating these available real-world data in the virtual world for calibration purposes. In this work, the authors therefore propose a scalable approach to transfer real-world data, exemplarily taken from the German city Ingolstadt, to a virtual environment for a calibration of a traffic flow simulation. For the allocation of historical real-world data, the authors use a process which matches real-world measurements with their corresponding locations in the virtual environment. The calibration incorporates the replication of realistic traffic light programs as well as the adjustment of simulated traffic flows. The proposed calibration procedure allows for an automated creation of a calibrated traffic flow simulation of an arbitrary road network given historical real-world observations.

• Record URL:
  https://annualmeeting.mytrb.org/OnlineProgram/Details/15872
• Supplemental Notes:
  • This paper was sponsored by TRB committee ACP80 Standing Committee on Traffic Simulation Committee.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Harth, Michael
  • Langer, Marcel
  • Bogenberger, Klaus
• Conference:
  • Transportation Research Board 100th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2021-1-5 to 2021-1-29
• Date: 2021

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Calibration; Data collection; Microsimulation; Traffic simulation
• Geographic Terms: Ingolstadt (Germany)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01764001
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-01644
• Files: TRIS, TRB, ATRI
• Created Date: Feb 4 2021 10:57AM