An Enhanced Microscopic Traffic Simulation Model for Application to Connected Automated Vehicles

Modelling detailed microscopic level interactions among classes of vehicles with varying levels of automation and connectivity is essential for evaluating the potential impact or benefit of ACC (Adaptive Cruise Control) and CACC (Cooperative ACC). This requires developing a driving behavior model that is applicable to human-driven vehicles, as well as those equipped with ACC and CACC, and incorporates microscopic level vehicle-to-vehicle interaction. In addition, the model must be validated with the existing freeway data for human-driven vehicles. Microscopic models of this type have been developed in the past but had many shortcomings. This paper has made improvements by incorporating relevant phenomena such as the lane friction effect. The revised model has been calibrated using archived data from a complicated 13 mile long stretch of the northbound SR99 freeway near Sacramento, California. The corridor includes multiple bottlenecks, multiple entry and exit ramps, and an HOV lane. Calibration results show extremely good agreement between field data and model predictions.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Lu, Xiao-Yun
    • Kan, Xingan (David)
    • Shladover, Steven E
    • Wei, Dali
    • Ferlis, Robert A
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 20p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01628783
  • Record Type: Publication
  • Report/Paper Numbers: 17-05126
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 13 2017 9:12AM