Pedestrian Accident Prediction Modeling
S. Dass, D.Singhal and
- Assistant Professor, Civil Engineering Department, DCRUST, Murthal
- Professor, Civil Engineering Department, DCRUST, Murthal
- Department of Civil Engineering, NIT Kurukshetra
Over 1.2 million people die each year on roads,
and between 20 and 50 million suffer non-fatal
injuries. In most of the developing countries
this epidemic of road accident injuries is still
increasing. Road traffic accidents are a major but
ignored worldwide problem, requiring intensive
efforts for effective prevention. Of all the systems
that people have to deal with on a daily basis,
road transport is the most complex and the most
dangerous. A broad approach is required for
improving road safety and reducing the death toll
on their roads. In the similar course in this study
an attempt has been made to figure out frequent
elements which are accountable for accident
study in India to develop methods which would
provide solution for the same, based on the earlier
literature. The studies conducted and stated in
the past ten years along with their outcomes and
approaches adopted have been reported in this
paper. The researchers have also tried to tabulate
important explanatory variables and significant.
Although researchers are assuming new methods
and many independent variables are being tried
into accident prediction modelling but still the
outcomes are not decisive.There is a scarcity of
studies, which has so far tried to predict accidents
by injury severity in India. Comparative
influence of variables and effectiveness of different modelling techniques also needs to be tested for
different data sets.
Road Accidents, Pedestrian Safety,
Accident Prediction Model.
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