New Findings Reported from Griffith University Describe Advances in Risk Management (Modelling total duration of traffic incidents including incident detection and recovery time)
By a News Reporter-Staff News Editor at Insurance Weekly News -- Current study results on Risk Management have been published. According to news reporting from Brisbane, Australia, by VerticalNews journalists, research stated, "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."
The news correspondents obtained a quote from the research from Griffith University, "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."
According to the news reporters, the research concluded: "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."
For more information on this research see: Modelling total duration of traffic incidents including incident detection and recovery time. Accident Analysis and Prevention, 2014;71():296-305. Accident Analysis and Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis and Prevention - www.elsevier.com/wps/product/cws_home/336)
Our news journalists report that additional information may be obtained by contacting A.T. Hojati, Griffith University, Sch ICT, Brisbane, Qld 4111, Australia. Additional authors for this research include L. Ferreira, S. Washington, P. Charles and A. Shobeirinejad.
Keywords for this news article include: Brisbane, Australia, Australia and New Zealand, Risk Management
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