13 Provides thought regarding current state,
difficulties, possibilities and Way Forward in VANET framework. In the current
years, auto fabricating enterprises, academia and government offices have begun
assembling much joint endeavors towards understanding the idea of vehicular
correspondences in wide scale. A few structures are already worked out by the
primary historic point of institutionalization forms made by US Federal
Communications Communication (FCC) through the allocation of 75 MHz of
dedicated short-range communication (DSRC) range 7 essentially to suit V2V
and V2I interchanges for safety related applications. Possibilities imagined in
VANETs have prompted various vehicular correspondences explore with their
related institutionalization extends in numerous nations over the world.

The issue of bundle directing in VANETs could be settled
if the three primary classifications of VANETs steering calculation, for example,
geographic, artful and direction based sending 8 could be joined with the
idea of convey and forward specified above to understand an ideal VANET
directing arrangement keeping in mind the end goal to decrease the conclusion
to-end postpone and additionally the aggregate number of dropped information
parcels amid directing. Future undertaking could be to complete a broad tests
and reproductions with more refined parameters and augmentation of existing
steering conventions in order to beat the issues of conceivable long end-to-end
postpone and high rate of parcel drop amid vehicular interchanges without
extreme addition in organize overhead.







In 16 creator consider the instance of Vehicular Ad-hoc
Network where an arrangement of vehicles needs to frame stable groups and keep
up the security amid the interchanges and ought to have availability with RSU
in regard of getting activity data and web administrations. In this paper, they
consider the instance of Vehicular Ad-hoc Network where an arrangement of
vehicles needs to frame stable bunches and keep up the dependability amid the
correspondences and ought to have availability with RSU in regard of getting
movement data and web administrations focus to transmit activity data and give
a few administrations to vehicles (e.g. Web). In the second layer, vehicles
frame dynamic bunches and the ones that are more appropriate progress toward
becoming group head (CH). CH is in charge of controlling the information
engendering inside the bunch. Dynamic group heads inside the scope of static
bunch head (i.e. RSU) turn into its individuals. Thus, the dynamic groups are
themselves portable, moving alongside the fast vehicles and the vehicles speak
with the RSU through CH hub. This guarantees even with rapid vehicles, the
moving group engineering stay with a steady topology, as long as speed of the
vehicles stays pretty much the same.


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.

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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