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DOI: 10.7708/ijtte.2014.4(4).09

4 / 4 / 466-471 Pages


Md. Mahmud Hasan - School of Civil, Environmental and Chemical Engineering, RMIT University, Melbourne, Australia -

Shamas Bajwa - School of Civil, Environmental and Chemical Engineering, RMIT University, Melbourne, Australia -


This study presents a method for the identification of hazardous situations on the freeways. The hazard identification is done using a crash risk probability model. For this study, about 18 km long section of Eastern Freeway in Melbourne (Australia) is selected as a test bed. Two categories of data i.e. traffic and accident record data are used for the analysis and modelling. In developing the crash risk probability model, Hazard Prediction Index is formulated in this study by the differences of traffic parameters with threshold values. Seven different prediction indices are examined and the best one is selected as crash risk probability model based on prediction error minimisation.

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