CONGESTION CONTROL REAL-TIME PATH PLANNING IN HYBRID VANET FOR URBAN AREA

Abstract

Real time path planning algorithm is an
effective way to avoid traffic congestion in urban areas. It
is challenging to develop an algorithm for path planning as
each driver has their own preferences while driving. There
is existing Hybrid Intelligent Transportation System (ITS)
for path planning and it is hybrid VANET enhanced ITS.
This system utilizes vehicular ad-hoc network and cellular
systems of public transportation systems. With the help of
this system, it is possible to have a real time
communication between vehicles, road-side units (RSUs)
and vehicle-traffic server. This system improves overall
spatial utilization of a road network and reduces average
vehicle travel cost by avoiding it from getting stuck in
traffic congestion. This is achieved by using real time path
planning algorithm. Proposed system improvises the path
planning algorithm by selecting the right path by
considering the criticality of the vehicle (for e.g.,
ambulance) and the type of the vehicle (a two wheeler can
use a narrow path when compared to the path that can be
used for a car). By this approach, travel cost should come
down and also the spatial utilization should be even better
than existing system