View source for Identification of Decision Rules in a Human-controlled System: Vehicles at a Traffic Intersection

{{HTDB paper
| authors = Claire Walton, Domitilla Del Vecchio, Richard M. Murray
| title = Identification of Decision Rules in a Human-controlled System: Vehicles at a Traffic Intersection
| source = Submitted, 2004 International Conference on Robotics and Automation (ICRA)
| year = 2003
| type =  Conference 
  Paper
| funding = SURF
| url = http://www.cds.caltech.edu/~murray/preprints/wdm04-icra.pdf
| abstract = 
The rules that govern decision making in systems
controlled by humans are often simple to describe. However,
deriving these rules from the actions of a group can be very
difficult, making human behavior hard to predict. We develop
an algorithm to determine the rules implemented by drivers
at a traffic intersection by observing the trajectories of their
cars. We applied such algorithm to a traffic intersection scenario
reproduced in the Caltech multi-vehicle lab, with human subjects
remotely driving kinematic robots. The results obtained on these
data suggest that this kind of human behavior is to some extent
predictable on our data set, and different subjects implement
similar rules.
| flags = 
| tag = wdm04-icra
| id = 2003v
}}