TY  - JOUR
PY  - 2017//
TI  - Examining crash variable based on collision type for predicting crash severity on urban highways
JO  - International journal for traffic and transport engineering (Belgrade)
A1  - Vijay, Govindaraju
A1  - Adepu, Ramesh
A1  - Molugaram, Kumar
SP  - 381
EP  - 390
VL  - 7
IS  - 3
N2  - Transportation facilities are the backbone for any economic growth in country development. However, presently highways are the biggest threat to the world as they account for the largest number of road crashes. As a highway engineer emphasis should be made on reducing the occurrence of road crashes and understanding the causative factors. It is also important to understand the relationships between the severities of a road crash in the context with collision types. Several studies were carried on factors that influence on severity of crashes. The present paper attempts to explore the various factors associated with crash prediction on Indian highway. The study was conducted on National Highway NH-44 in Hyderabad city of Telangana State. Multinomial logit model was used for assessing the variables that influence the crash severity. The model reveals that vehicle type plays a major role in increasing the severity of the crash on highways. The model will be useful for the highway planner while improving the road section reducing the number of crashes.<p /> <p>Language: en</p>
LA  - en
SN  - 2217-5652
UR  - http://dx.doi.org/10.7708/ijtte.2017.7(3).08
ID  - ref1
ER  -