World’s road moves toward becoming packed and
expands road accident because of the expansion in the quantity of vehicles in
the globe. A large portion of the developing nations are the for the most part
experiencing road accidents because of the absence of legitimate foundation for
traffic administration and accident administration. Among over all road
accidents in world most elevated number of the accidents and loss of lives are
going on in India. Likewise, 90% of the world accident  are occurring in developing nations.

The likelihood of direct trade of kinematic
information between vehicles over an ad hoc organize condition called a
vehicular ad hoc network(VANET) has been generally seen by governments, auto
fabricating ventures and academia as a promising idea for future acknowledgment
of intelligent transportation network (ITS) accordingly accomplishing wellbeing
and productivity in our almost stuffed motorways.

Vehicular Ad Hoc Networks (VANETs) is organize
condition that is always changing the utilization of vehicles from only a
vehicle media to a clever transport instrument to guarantee road safety,
decrease in rush hour gridlock issues, basic cautions and getting to solaces
and entertainments. Vehicles using wireless communication abilities are named
as “computer networks on wheels” having information sharing
capacities. It helps in sharing data among vehicles and adjacent roadside infrastructure.
Vehicles having this innovation can enhance road movement wellbeing by imparting
crisis messages between vehicles with the goal that drivers can take proper
choices auspicious.

Most ITS applications ,such as road security, armada
administration, and route, will rely on information traded between the vehicle
and the road side infrastructure (V2I), or even straight forwardly between
vehicles(V2V). The incorporation of sensoring abilities on-board of vehicles, alongside
shared portable communication among vehicles, gauge note worthy enhancements in
terms of safety sooner rather than later.

Our
approach gathers information when a traffic accident occurs, which is captured
by various sensors installed on on-board unit of the vehicles. The data
collected are collected in a structured packet, and forwarded to a remote
Control Unit through a combination of V2V and V2I wireless communication. Based
on sensor information, our system will estimate the accident severity.

This
data is of most extreme significance, for instance, to decide the most
appropriate arrangement of assets in a protect operation. Since we need to
consider the data got exactly when the mischance happens, to evaluate its
seriousness quickly, we are constrained by the information consequently
retrievable, excluding other data, e.g., about the driver’s level of
consideration, laziness, and so forth.