Analysing freeway traffic incident duration using an Australian data set

Tavassoli Hojati, Ahmad, Ferreira, Luis, Charles, Phil and Kabit, Mohamad Raduan bin (2012) Analysing freeway traffic incident duration using an Australian data set. Road and Transport Research, 21 2: 19-31.

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Author Tavassoli Hojati, Ahmad
Ferreira, Luis
Charles, Phil
Kabit, Mohamad Raduan bin
Title Analysing freeway traffic incident duration using an Australian data set
Journal name Road and Transport Research   Check publisher's open access policy
ISSN 1037-5783
Publication date 2012-06
Sub-type Article (original research)
Volume 21
Issue 2
Start page 19
End page 31
Total pages 13
Place of publication Vermont South, Vic., Australia
Publisher ARRB Group
Collection year 2013
Language eng
Abstract This paper investigates incident duration and identifies contributing variables for Australian conditions. The paper presents a new framework for comprehensive traffic-incident data mining and analysis towards an incident delay model and travel-time reliability modelling. Twelve months of data were collected, analysed and the results are presented in this paper. The findings suggest that debris, breakdown and multiple-vehicle crashes are the major sources of incidents on freeways. Furthermore, freeway incident duration varied across the types of incident and time of the day, and whether it was a week day or weekend day. However, there were no significant differences in relation to day, week or month of the year. Significant variables on incident duration were identified using an ANOVA test for each type of incident. In addition, the findings of this study reveal a high variance of incident duration within each incident type. A variety of probability distribution functions were employed to test the best model for the duration frequency distribution for each category of incident. Log-normal distribution was found to be more appropriate for crashes, but log-logistic distribution was more appropriate for hazards and stationaryvehicle incidents.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2013 Collection
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Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
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Created: Thu, 09 Aug 2012, 14:53:08 EST by Jeannette Watson on behalf of School of Civil Engineering