TY  - JOUR
PY  - 2014//
TI  - Development of a crash risk probability model for freeways based on hazard prediction index
JO  - International journal for traffic and transport engineering (Belgrade)
A1  - Hasan, Md. Mahmud
A1  - Bajwa, Shamas
SP  - 466
EP  - 471
VL  - 4
IS  - 4
N2  - 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.<p /> <p>Language: en</p>
LA  - en
SN  - 2217-5652
UR  - http://dx.doi.org/10.7708/ijtte.2014.4(4).09
ID  - ref1
ER  -