Modelling Supported Driving as an Optimal Control Cycle: Framework and Model Characteristics

Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper puts forward a receding horizon control framework to model driver assistance and cooperative systems. The accelerations of automated vehicles are controlled to optimise a cost function, assuming other vehicles driving at stationary conditions over a prediction horizon. The flexibility of the framework is demonstrated with controller design of Adaptive Cruise Control (ACC) and Cooperative ACC (C-ACC) systems. The proposed ACC and C-ACC model characteristics are investigated analytically, with focus on equilibrium solutions and stability properties. The proposed ACC model produces plausible human car-following behaviour and is unconditionally locally stable. By careful tuning of parameters, the ACC model generates similar stability charac- teristics as human driver models. The proposed C-ACC model results in convective downstream and absolute string instability, but not convective upstream string instability observed in human-driven traffic and in the ACC model. The control framework and analytical results provide insights into the influences of ACC and C-ACC systems on traffic flow operations.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2013.05.027
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042813009968
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Wang, Meng
  • Treiber, Martin
  • Daamen, Winnie
  • Hoogendoorn, Serge
  • van Arem, Bart
• Publication Date: 2013-6-7

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 491-511
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 80
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Autonomous intelligent cruise control; Driver support systems; Intelligent vehicles; Mathematical models; Traffic equilibrium; Traffic flow
• Uncontrolled Terms: Optimal control
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory;

Filing Info

• Accession Number: 01491515
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 14 2013 1:17PM