International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
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Title: |
Predictive Model for Accident Management System
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Author Name: |
Ramya V , Pratyasha , Priyanka K , Padmavati Badiger |
Abstract: |
Abstract:Cities are facing challenges with the projected
population growth and the resulting increased urban travel
demand. Road safety is a major issue in urban planning. Much
of the empirical research on road safety and determining the
probability of accidents has focused on the accident events.
Road accident is one of the crucial areas of research in India.
While human error and mechanical failure are common causes
of road traffic accidents, the importance of spatial factors has
been underestimated. Classifications of road accident are
generally based on the available data associated with the
accident itself such as time of day, type of injury, type of vehicle,
etc. This can often limit the understanding of the complexities
of road accidents which can be the outcome of a number of
environmental, social and economic factors neglected by the
standard accident data collection. Analysis of road accidents,
particularly the spatial patterns of accidents requires further
attention. On the other hand, one of the most burning issues is
about predicting traffic accidents. Predicting accidents on the
road can be achieved by classification analysis, a data mining
procedure requiring enough data to build a learning model. To
improve predicting accuracy, corrected data is classified into
several groups, to which classification analysis is applied. A
variety of research has been done on data collected through
police records covering a limited portion of highways. Evolution
of traffic flow on highways, especially under accidents, is
crucial to understanding and reducing the impact of accidents.
Association rule mining technique is applied to identify
circumstances in which an accident may occur and the results
can be utilized to put some accident prevention efforts in the
areas identified for different categories of accidents to overcome
the number of accidents. This system uses a predictive model for
accident prediction, analyses accidents caused by certain key
factors and also concentrates specifically on accidents that
occur on highways. This system can be useful for any common
man for information which is provided in a user friendly GUI
and also help the traffic officer for decision making and
reporting of an accident. The dataset will help to the extraction
of rules from pattern observed in accidents related to spatial
characteristics. This system also provides guidance to
government authorities involved in road planning.
Keywords:Prediction, Analysis, Regression formula,
Client-server model |
Cite this article: |
Ramya V , Pratyasha , Priyanka K , Padmavati Badiger , "
Predictive Model for Accident Management System " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 6, Issue 2, March - April 2017 , pp.
163-169 , ISSN 2278-6856.
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