Agent-Based Modeling and Simulation in the Dilemma Zone

The goal of this study is to develop a realistic dilemma zone (DZ) model that considers the effects of factors surrounding vehicles at an intersection, particularly focusing on driver decisionmaking behavior, such as the presence of a pedestrian countdown signal, a red-light photo enforcement camera, and the actions of an adjacent vehicle. The Federal Highway Administration’s Highway Driving Simulator (HDS) was used to collect drivers’ responses as a function of facility speed limit and whether the driver was in a hurry. From these responses, a DZ model was developed via agent-based modeling and simulation (ABMS) under the extended belief-desire-intention (E-BDI) framework. This framework represents uncertain perception and decision behaviors of humans in a probabilistic manner. To demonstrate and validate the proposed approach, the drivers’ actions under two circumstances were compared: (1) drivers only knew the approach speed and distance to the stop (i.e., internal information); and (2) drivers knew the internal information as well as external information, such as presence of a pedestrian countdown signal or presence of a red-light photo enforcement camera, and the behavior of an adjacent vehicle. The experiments indicate that sufficient external information could accurately predict the decisions of drivers and thus reduce the number of red-light violations that could potentially cause accidents at an intersection. In addition, the proposed E-BDI-based DZ model allowed us to consider the physical interactions between vehicles such that it provides realistic prediction results of drivers under various traffic conditions.

• Record URL:
  http://www.fhwa.dot.gov/advancedresearch/pubs/15082/15082.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/35626
• Corporate Authors:

  University of Arizona, Tucson

  Tucson, AZ  United States  85721

  George Mason University

  Fairfax, VA  United States  22030

  Leidos

  Reston, VA  United States 

  Textron Systems

  Hunt Valley, MD  United States 

  Federal Highway Administration

  Office of Safety Research and Development
  6300 Georgetown Pike
  McLean, VA  United States  22101-2296
• Authors:
  • Kim, Sojung
  • Son, Young-Jun
  • Jeffers, Mary Anne
  • Williams, Jason
  • Chiu, Yi-Chang
• Publication Date: 2015-12

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Photos; References; Tables;
• Pagination: 57p

Subject/Index Terms

• TRT Terms: Automated enforcement; Behavior; Cameras; Decision making; Dilemma zone; Drivers; Driving simulators; Intersections; Red light running; Traffic signals
• Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01587715
• Record Type: Publication
• Report/Paper Numbers: FHWA-HRT-15-082
• Files: NTL, TRIS, ATRI, USDOT
• Created Date: Jan 27 2016 5:11PM