Modelling total duration of traffic incidents including incident detection and recovery time

Tavassoli Hojati, Ahmad, Ferreira, Luis, Washington, Simon, Charles, Phil, & Shobeirinejad, Ameneh (2014) Modelling total duration of traffic incidents including incident detection and recovery time. Accident Analysis & Prevention, 71, pp. 296-305.

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Traffic incidents are key contributors to non-recurrent congestion, potentially generating significant delay. Factors that influence the duration of incidents are important to understand so that effective mitigation strategies can be implemented. To identify and quantify the effects of influential factors, a methodology for studying total incident duration based on historical data from an ‘integrated database’ is proposed. Incident duration models are developed using a selected freeway segment in the Southeast Queensland, Australia network. The models include incident detection and recovery time as components of incident duration. A hazard-based duration modelling approach is applied to model incident duration as a function of a variety of factors that influence traffic incident duration. Parametric accelerated failure time survival models are developed to capture heterogeneity as a function of explanatory variables, with both fixed and random parameters specifications. The analysis reveals that factors affecting incident duration include incident characteristics (severity, type, injury, medical requirements, etc.), infrastructure characteristics (roadway shoulder availability), time of day, and traffic characteristics. The results indicate that event type durations are uniquely different, thus requiring different responses to effectively clear them. Furthermore, the results highlight the presence of unobserved incident duration heterogeneity as captured by the random parameter models, suggesting that additional factors need to be considered in future modelling efforts.

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5 citations in Scopus
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7 citations in Web of Science®

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ID Code: 74714
Item Type: Journal Article
Refereed: Yes
Keywords: Total incident duration, Survival modelling, Motor vehicle crashes, Congestion management, Recurrent and non-recurrent congestion
DOI: 10.1016/j.aap.2014.06.006
ISSN: 0001-4575
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Elsevier Ltd.
Deposited On: 06 Aug 2014 00:06
Last Modified: 06 Aug 2014 21:15

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