Road traffic issues, moreover, has become the backbone for major injuries ,deaths in recent times.The problem lies between negligence and the false approach towards the better analysis of traffic events. To avoid road mishaps, it is not enough to just improve the road conditions, but also needs to control the traffic accidents happening by analyzing the cause-and-effect regulations.

1. Road accident alert system using
data mining

2. Problem Statement
●Road traffic issues, moreover, has become the backbone for major injuries
,deaths in recent times.The problem lies between negligence and the false
approach towards the better analysis of traffic events.
●The liability of road accidents supposed to be varied due to various reasons
such as drunken driver ,natural cause (weather conditions),pedestrian
crossings,brake failure,tyre bursting,etc.It is at ease to find remedy if factors
could be analyse,grasped and act to take right measures.
●To avoid road mishaps, it is not enough to just improve the road conditions,
but also needs to control the traffic accidents happening by analyzing
the cause-and-effect regulations.

3. Existing systems
●Limited accident prone areas plotted
in map
●Existing system: watch-out app.
●No data mining is performed.
●Accident severity not mentioned.

4. Proposed system
●Based on database, accident prone areas will be plotted.
●If number of accidents occurred on same spot are in excess then
such spots would be declared “blackspot”.
●Each prone area will be assigned with levels(3) of severity based on
number of accidents occurred.
●Proposed system will be worked on Mumbai-Pune Expressway.
●Time variance property would be used in order to warn the driver
,that chances of road events are high at particular time and place.
●Voice notification given to the driver with reasons defined
on display.

5. Data mining
•Data preprocessing
•Data clustering of geo coordinates using DBSCAN
•Data classification using naive Bayes and C4.5 algorithm.
•Association rule.mining.
•User defined rule minimg.
•Comparison of different rules.

6. Interface
●Using Google Maps API.
●Alert messages will be displayed on
screen.
●Within radius of 250m.
●Reasons will be defined.
●Through Voice alerts.

7. References
● Data mining approach to analyse the road accidents in India
http://ieeexplore.ieee.org/document/7784948/
●Descriptive and predictive mining on Road accident data.
http://ieeexplore.ieee.org/document/7422987/
● Structure-Based Rule Selection Framework for Association Rule Mining
of Traffic Accident Data
http://ieeexplore.ieee.org/document/4072194/
● Data mining opportunities in geosocial networks for improving road
safety
http://ieeexplore.ieee.org/document/6377049/