Analysis of the temporal properties in car accident time series

Luciano Telesca and Michele Lovallo

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 13, 3299-3304

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.

Keywords: Car accidents; Allan factor (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:13:p:3299-3304

DOI: 10.1016/j.physa.2008.01.055

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