| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 976511 | Physica A: Statistical Mechanics and its Applications | 2008 | 6 Pages |
Abstract
In this paper we study the time-clustering behavior of sequences of car accidents, using data from a freely available database in the internet. The Allan Factor analysis, which is a well-suited method to investigate time-dynamical behaviors in point processes, has revealed that the car accident sequences are characterized by a general time-scaling behavior, with the presence of cyclic components. These results indicate that the time dynamics of the events are not Poissonian but long range correlated with periodicities ranging from 12 h to 1 year.
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Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Luciano Telesca, Michele Lovallo,