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The 10 proposed framework consists of three
components. The first component is the vehicle, which includes a computer
system connected to different intelligent sensors. The second component is the
heterogeneous wireless communication networks, which provide internet access
and short message system between the vehicle computer system and Internet. The
third component is a distributed system which includes different applications
and database servers for managing vehicle accident.

 

In 17 author proposed a framework for
automatic accident detection and management system. Paper proposes an
architecture where three distinct networks (VANET, ambulances and hospitals)
and central server are connected together. They use a next generation
integrated IP network (3G, WiMax, LTE) for connecting these different networks.
Each vehicle has both biomedical sensors (temperature, heartbeat, blood
pressure) and mechanical sensors (vibration sensor, accelerometer, air bag
sensor and so on) to detect the accident. If the accident is detected it inform
it to the central server. Traffic signals are used as the road side unit in our
approach. It collects the speed of the vehicle crossing that road section and
calculates average vehicle speed on the corresponding road segment. It
transfers this speed information to the central server. It is also responsible
for the prioritized traffic light management for ambulances. Each Road side
unit is connected with the other nearby roadside unit to create an overall
network of Road Side Units.

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The central server is connected with all the
entities (VANET, ambulance, hospitals) in our framework. VANET is connected
with the central server to inform accident. Road Side Units periodically update
the road segment average speed with the central server. Central server creates
a road map of the city with average speed information. All the ambulances and
hospitals in the city is connected with the central server. The central server
calculates the shortest optimized path for the ambulance to reach the accident
zone and find the nearby hospital and the shortest path for ambulance to that
hospital. Based on the traffic speed information from the roadside units,
central server dynamically updates the route for an ambulance.

 

In 14, author has proposed a system architecture which
detects road accidents through vehicular networks automatically and also shows
the estimation of road accidents on base of severity through data mining and
process of knowledge interferences. The drawback for this proposed system is
that they have not designed any module for traffic congestion, and also does
not describe about the security algorithm, the proposed system focuses more on
providing safety for road accidents and notification about them.

 

 

 

 

 

 

 

 

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