Analysis of the temporal properties in car accident time series

被引：36

作者：

Telesca, Luciano ^{[1
]}

Lovallo, Michele ^{[1
]}

机构：

[1] CNR, Inst Metodol Anal Ambientale, I-85050 Tito, PZ, Italy

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2008年 / 387卷 / 13期

关键词：

car accidents; Allan factor;

D O I：

10.1016/j.physa.2008.01.055

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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. (c) 2008 Elsevier B.V. All rights reserved.

引用

页码：3299 / 3304

页数：6

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