Traffic at the Edge of Chaos

Details Traffic at the Edge of Chaos Traffic at the Edge of Chaos

1995-02-15

arxiv.org/abs/adap-org/9502005v1

Nonlinear Sciences

Adaptation and Self-Organizing Systems

Postscript version including most of the figures available from http://studguppy.tsasa.lanl.gov/research_team/. Paper has been

Scientific paper

We use a very simple description of human driving behavior to simulate traffic. The regime of maximum vehicle flow in a closed system shows near-critical behavior, and as a result a sharp decrease of the predictability of travel time. Since Advanced Traffic Management Systems (ATMSs) tend to drive larger parts of the transportation system towards this regime of maximum flow, we argue that in consequence the traffic system as a whole will be driven closer to criticality, thus making predictions much harder. A simulation of a simplified transportation network supports our argument.

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