@incollection{statphys23_1094,
  abstract = {We investigate the behaviour of an original traffic model.
The model considers a single multi-lane street, populated
by autonomous vehicles directed from either end to the other.
Lanes have no intrinsic directionality, and the vehicles are
inserted at random at either end and any lane.  Collision
avoidance is fully automatic and, to enhance the transport
capacity of the street, vehicles form {\it trains} in which
they may travel at high speed quite close to the vehicle
in front.

We report on the transit times for vehicles under a wide
variety of conditions:
vehicle insertion probability \& imbalance and their
maximum speed distribution.  We also outline an
interesting feature of the model, that the complex
interactions of many vehicles are considerably more
powerful than a simple 'keep left' directive which
each vehicle should obey.},
  added-at = {2007-06-20T10:16:09.000+0200},
  address = {Genova, Italy},
  author = {Polito, F. and Dalton, F.},
  biburl = {https://www.bibsonomy.org/bibtex/2dc21e1b075fae4ea5c7c89032713abf4/statphys23},
  booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
  editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano},
  interhash = {4e3f6a0d40bf5854c1902c4da06c44a7},
  intrahash = {dc21e1b075fae4ea5c7c89032713abf4},
  keywords = {statphys23 autonomous topic-11 peer-to-peer traffic},
  month = {9-13 July},
  timestamp = {2007-06-20T10:16:38.000+0200},
  title = {Flow of autonomous traffic on a single multi-lane street},
  url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=1094},
  year = 2007
}

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