Critical gap estimation by numerical and statistical highest likelihood search
Bunker, Jonathan M. (2011) Critical gap estimation by numerical and statistical highest likelihood search. [Working Paper] (Unpublished)
Many traffic situations require drivers to cross or merge into a stream having higher priority. Gap acceptance theory enables us to model such processes to analyse traffic operation. This discussion demonstrated that numerical search fine tuned by statistical analysis can be used to determine the most likely critical gap for a sample of drivers, based on their largest rejected gap and accepted gap. This method shares some common features with the Maximum Likelihood Estimation technique (Troutbeck 1992) but lends itself well to contemporary analysis tools such as spreadsheet and is particularly analytically transparent. This method is considered not to bias estimation of critical gap due to very small rejected gaps or very large rejected gaps. However, it requires a sufficiently large sample that there is reasonable representation of largest rejected gap/accepted gap pairs within a fairly narrow highest likelihood search band.
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|Item Type:||Working Paper|
|Keywords:||gap acceptance, unsignalised intersection, critical gap, maximum likelihood estimation|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
|Copyright Owner:||Copyright 2011 Jonathan M Bunker|
|Copyright Statement:||All rights reserved.|
|Deposited On:||21 Jul 2011 21:34|
|Last Modified:||21 Jul 2011 21:34|
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