Article
EXAMINING CRASH VARIABLE BASED ON COLLISION TYPE FOR PREDICTING CRASH SEVERITY ON URBAN HIGHWAYS
DOI: 10.7708/ijtte.2017.7(3).08
7 / 3 / 381-390 Pages
Author(s)
Ramesh Adepu - Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India -
Abstract
Transportation facilities are the backbone for any economic growth in country’s 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.
Number of downloads: 1173
Keywords:
crash;
collision;
highway;
multinomial logit;
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