Modeling and Evolving Human Behaviors and Emotions in Road Traffic Networks

This study examines, in an artificially generated multi-agent environment, the behavioral dimension and its impact on performance in road transport networks. Individual drivers are modeled using human personality traits and emotions. The intent is to implement the real-time formation of drivers’ mental states and hence the context-generated decision making in different traffic conditions. The model is used for understanding how behavior influences the performance in a given infrastructure. This understanding is demonstrated through a comparison against a collision-avoidance physics-based model and a rational cognitive model. The behavioral model is then coupled with a differential evolution global optimization technique that searches for optimal behavioral mixes. It is demonstrated that models of steady state that do not account for behavioral modeling under-estimate risk and the differences are significant. Moreover, performance metrics such as “transit time” can vary widely under different distributions of the mixes of behaviors which exist in a network.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.09.815
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812042772
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Leu, George
  • Curtis, Neville J
  • Abbass, Hussein
• Conference:
  • 15th Meeting of the EURO Working Group on Transportation
  • Location: Paris , France
  • Date: 2012-9-10 to 2012-9-13
• Publication Date: 2012-10-4

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 999-1009
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 54
  • 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: Behavior; Decision making; Driver performance; Emotions; Multi-agent systems; Traffic models; Travel time
• Subject Areas: Highways; Planning and Forecasting; I71: Traffic Theory;

Filing Info

• Accession Number: 01491313
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 3 2013 1:36PM