Ohh how I wish I had read through my posts before going to Robocup.  I had the chance to talk with Peter Stone!!!  I could have discussed some of my ideas with him and maybe coauthored a paper with him on this.  Oh well maybe I can do it at GMU.

Well, I just remembered I wrote a couple months ago about this topic I have been talking about.  https://drewsblog.herokuapp.com/?p=1471 (Dynamic lane reversal and Braess’ Paradox).  The paper referenced there even has a nice name for what I have been talking about.

WOW…

So, at least I finally remembered.  I also took a more multiagent perspective to the problem.  I am now intrigued to find out if my method would scale compared to their ILP approach.

I also found the first authors notes!  http://www.cs.utexas.edu/~mhauskn/projects/aim/notebook.html.  They are very detailed and even mention the Braess’ Paradox!  He apparently encountered it.  It seems like the project just stopped.  Many interesting questions are still open regarding the problem.  It is certainly not solved.  Also, in there experiments they never had a road fully become one-directional there was always at least one lane that went in the other direction.  The other thing was that lane was always on the side that it “should” be on.  That lane never could change sides or be in the middle or something really strange.  Which would be possible in my system.

It seems like bounties might be able to work in this environment.  I have to think about it a bit.  Peter has been doing more recent work on the subject and using Auctions to allow drivers to bid on things.  He has also created larger scale simulations with a nice simulator for Austin Texas.  http://www.cs.utexas.edu/~mhauskn/publications.html

Cool RL reading group at UT https://www.cs.utexas.edu/~eladlieb/RLRG.html